Pipedrive Connection Details

Introduction

Connector Version

This documentation is based on version 23.0.8936 of the connector.

Get Started

Pipedrive Version Support

The connector leverages the Pipedrive API to enable bidirectional access to Pipedrive.

Establish a Connection

Connect to Pipedrive

Pipedrive offers two ways to connect and authenticate: Basic and OAuth.

Basic Authentication

To authenticate via Basic authentication:

Obtain an API Token:
1. Open the Pipedrive portal.
2. At the top right corner of the page, click the account name. Pipedrive displays a drop-down list.
3. Navigate to Company Settings > Personal Preferences > API > Generate Token.
4. Record the value of the generated API token. Also, note the CompanyDomain,which is visible in the PipeDrive HomePage URL. (This is the company's developer sandbox URL.)
Set these connection properties:
- APIToken: The value for the API token you just obtained.
- CompanyDomain: The CompanyDomain from the developer sandbox URL.
- AuthScheme: Basic.
Log in with the approved user name and password.

The API Token is stored in the Pipedrive portal. To retrieve it, click the company name, then use the drop-down list to navigate to Company Settings > Personal Preferences > API.

OAuth Authentication

If you do not have access to the user name and password or do not want to require them, use the OAuth user consent flow. To enable this authentication from all OAuth flows, you must set AuthScheme to OAuth and create a custom OAuth application.

The following subsections describe how to authenticate to Pipedrive from three common authentication flows. For information about how to create a custom OAuth application, see Creating a Custom OAuth Application. For a complete list of connection string properties available in Pipedrive, see Connection.

Desktop Applications

To authenticate with the credentials for a custom OAuth application, you must get and refresh the OAuth access token. After you do that, you are ready to connect.

Get and refresh the OAuth access token:

InitiateOAuth: GETANDREFRESH. Used to automatically get and refresh the OAuthAccessToken.
OAuthClientId: The client ID assigned when you registered your custom OAuth application.
OAuthClientSecret: The client secret that was assigned when you registered your custom OAuth application.
CallbackURL: The redirect URI that was defined when you registered your custom OAuth application.

When you connect, the connector opens Pipedrive's OAuth endpoint in your default browser. Log in and grant permissions to the application.

After you grant permissions to the application, the connector completes the OAuth process:

The connector obtains an access token from Pipedrive and uses it to request data.
The OAuth values are saved in the path specified in OAuthSettingsLocation. These values persist across connections.

When the access token expires, the connector refreshes it automatically.

Automatic refresh of the OAuth access token:

To have the connector automatically refresh the OAuth access token:

Before connecting to data for the first time, set these connection parameters:
- InitiateOAuth: REFRESH.
- OAuthClientId: The client ID in your custom OAuth application settings.
- OAuthClientSecret: The client secret in your custom OAuth application settings.
- OAuthAccessToken: The access token returned by GetOAuthAccessToken.
- OAuthSettingsLocation: The path where you want the connector to save the OAuth values, which persist across connections.
On subsequent data connections, set:
- InitiateOAuth
- OAuthSettingsLocation

Manual refresh of the OAuth access token:

The only value needed to manually refresh the OAuth access token is the OAuth refresh token.

To manually refresh the OAuthAccessToken after the ExpiresIn period (returned by GetOAuthAccessToken) has elapsed, call the RefreshOAuthAccessToken stored procedure.
Set these connection properties:
- OAuthClientId: The Client ID in your custom OAuth application settings.
- OAuthClientSecret: The Client Secret in your custom OAuth application settings.
Call RefreshOAuthAccessToken with OAuthRefreshToken set to the OAuth refresh token returned by GetOAuthAccessToken.
After the new tokens have been retrieved, set the OAuthAccessToken property to the value returned by RefreshOAuthAccessToken. This opens a new connection.

Store the OAuth refresh token so that you can use it to manually refresh the OAuth access token after it has expired.

Create a Custom OAuth Application

If you do not have access to the user name and password or do not wish to require them, you can use OAuth authentication. Pipedrive uses the OAuth authentication standard, which requires the authenticating user to interact with Pipedrive via the browser. Authenticating via OAuth requires the use of the OAuth client credentials, client Id, and client secret.

To register a custom OAuth application and obtain the OAuth client credentials, client id, and client secret:

Log into your Pipedrive account Login Page.
At the drop-down menu, click Tools and integrations. Pipedrive displays the Settings page.
In the menu at left, click Marketplace Manager.
Click Create new app.
Click the yes or no button.
Fill in all requested items.
Enter a value for the application's Redirect URI:
- If you are making a desktop application, set the Callback URL to http://localhost:33333 or a different port number of your choice.
- If you are making a web application, set the Callback URL to a page on your Web app that you want the user to be returned to after they have authorized your application.
When you have filled in all required fields, click Save. Pipedrive displays a confirmation screen that shows the data you have just filled in.
Check your entries on the confirmation screen. If everything looks correct, click Add a new.

Enabled applications are displayed in the list and the process completes.

The OAuthClientId and ClientSecret are displayed along with the information you specified when setting up the application. Record the OAuthClientID and ClientSecret for future use.

Important Notes

Configuration Files and Their Paths

All references to adding configuration files and their paths refer to files and locations on the Jitterbit agent where the connector is installed. These paths are to be adjusted as appropriate depending on the agent and the operating system. If multiple agents are used in an agent group, identical files will be required on each agent.

Data Model

Overview

This section shows the available API objects and provides more information on executing SQL to Pipedrive APIs.

Key Features

The connector models Pipedrive entities like documents, folders, and groups as relational views, allowing you to write SQL to query Pipedrive data.
Stored procedures allow you to execute operations to Pipedrive
Live connectivity to these objects means any changes to your Pipedrive account are immediately reflected when using the connector.

Views

Views describes the available views. Views are statically defined to model Pipedrive entities such as Currencies, DealsPersons, and ProductsFiles.

Tables

Tables describes the available tables. Tables are statically defined to model Pipedrive entities such as Activities, Users, and Leads.

Stored Procedures

Stored Procedures are function-like interfaces to Pipedrive. Stored procedures allow you to execute operations to Pipedrive, including downloading documents and moving envelopes.

Tables

The connector models the data in Pipedrive as a list of tables in a relational database that can be queried using standard SQL statements.

Pipedrive Connector Tables

Name	Description
`Activities`	Get all Activities assigned to a particular User.
`ActivityTypes`	Get all ActivityTypes.
`CallLogs`	Returns all call logs assigned to a particular user.
`DealFields`	Returns data about all deal fields.
`Deals`	Get all deals.
`DealsFollowers`	Get details of deals followers.
`DealsParticipants`	Get details of deals participants.
`DealsProducts`	Get details of deals products.
`Files`	Returns data about all files.
`Filters`	Returns data about all filters.
`Goals`	Goals help your team meet your sales targets.
`LeadLabels`	Returns details of all Lead Labels.
`Leads`	Returns lead data.
`MailThreads`	Get, Update and Delete mail threads in a specified folder ordered by the most recent message within.
`NoteComments`	Create, Update, Delete and Get the comments associated with a note.
`Notes`	Returns all notes.
`OrganizationFields`	Returns data about all organization fields.
`OrganizationRelationships`	Gets all of the relationships.
`Organizations`	Get details of organizations
`OrganizationsFollowers`	Get details of organizations followers.
`OrganizationsInternal`	Get details of organizations.
`PersonFields`	Returns data about all person fields.
`PersonFollowers`	Get details of persons followers.
`Persons`	Get all details of persons.
`Pipelines`	Get all Pipelines.
`ProductFields`	Returns data about all product fields.
`Products`	Get details of Products
`ProductsFollowers`	Get details of products followers.
`Roles`	Returns all the role.
`RolesAssignments`	List assignments for a role.
`RolesSetting`	Returns all the roles settings.
`Stages`	Returns data about all stages.
`Subscriptions`	Returns details of an installment or a recurring Subscription
`Users`	Returns data about all users within the company

Activities

Get all Activities assigned to a particular User.

Select

The connector will use the Pipedrive API to process WHERE clause conditions built with the following columns and operators. The rest of the filter is executed client side within the connector.

Id supports the = operator.
Done supports the = operator.
Type supports the '=, IN' operators.
UserId supports the = operator.
FilterId supports the = operator.
StartDate supports the = operator.
EndDate supports the = operator.

For example, the following query is processed server side:

SELECT * FROM Activities WHERE Id = 246

SELECT * FROM Activities WHERE Done = 0

SELECT * FROM  Activities WHERE Type IN ('deadline', 'call')

SELECT * FROM  Activities WHERE EndDate = '2021-12-24'

SELECT * FROM  Activities WHERE UserId = 8230170

INSERT

The columns that are not read-only can be inserted. Following is an example of how to insert into this table.

INSERT INTO ActivitiesAttendees#TEMP (EmailAddress) VALUES ('blaineh@cdata.com')
INSERT INTO Activities (DueDate, DueTime, Duration, Dealid, Attendees) VALUES ('1994-10-12', '10:20', '02:00', 1, 'ActivitiesAttendees#TEMP')

UPDATE

UPDATE can be executed by specifying the ID in the WHERE Clause. The columns that are not read-only can be Updated. For example:

UPDATE Activities SET DealId = 2 WHERE ID = 245

DELETE

DELETE can be executed by specifying the ID in the WHERE Clause. For example:

DELETE FROM Activities WHERE ID = 246

Columns

Name	Type	ReadOnly	Description
`Id [KEY]`	`Integer`	True	Activity Id.
`ActiveFlag`	`Boolean`	True	ActiveFlag.
`AddTime`	`Datetime`	True	AddTime.
`AssignedToUserId`	`Integer`	True	AssignedToUserId.
`Attendees`	`String`	False	Attendees of the Activity This can be either your existing Pipedrive contacts or an external email address.
`BusyFlag`	`Boolean`	True	Set the Activity as Busy or Free. The allowed values are true, false. The default value is true.
`CalendarSync`	`String`	True	CalendarSync.
`CompanyId`	`Integer`	True	CompanyId.
`MeetingClient`	`String`	True	MeetingClient.
`MeetingId`	`String`	True	MeetingId.
`MeetingUrl`	`String`	True	MeetingUrl.
`CreatedByUserId`	`Integer`	True	CreatedByUserId.
`DealDropboxBcc`	`String`	True	DealDropboxBcc.
`DealId`	`Integer`	False	The ID of the Deal this Activity is associated with.
`DealTitle`	`String`	True	DealTitle.
`Done`	`Boolean`	True	Whether the Activity is done or not 0 = Not done 1 = Done If omitted returns both Done and Not done activities. The allowed values are 0, 1.
`DueDate`	`Date`	False	Due date of the Activity Format YYYY-MM-DD
`DueTime`	`Time`	False	Due time of the Activity in UTC Format HH:MM
`Duration`	`Time`	True	Duration of the Activity Format HH:MM
`FileCleanName`	`String`	True	FileCleanName.
`FileId`	`String`	True	FileId.
`FileUrl`	`String`	True	FileUrl.
`GcalEventId`	`String`	True	GcalEventId.
`GoogleCalendarEtag`	`String`	True	GoogleCalendarEtag.
`GoogleCalendarId`	`String`	True	GoogleCalendarId.
`LastNotificationTime`	`Datetime`	True	LastNotificationTime.
`LastNotificationUserId`	`Integer`	True	LastNotificationUserId.
`LeadId`	`String`	True	LeadId.
`Location`	`String`	False	The address of the Activity.
`AdminAreaLevel1`	`String`	True	AdminAreaLevel1.
`AdminAreaLevel2`	`String`	True	AdminAreaLevel2.
`LocationCountry`	`String`	True	LocationCountry.
`FormattedAddress`	`String`	True	FormattedAddress.
`LocationLat`	`Double`	True	LocationLat.
`LocationLocality`	`String`	True	LocationLocality.
`LocationLong`	`Double`	True	LocationLong.
`PostalCode`	`String`	True	PostalCode.
`LocationRoute`	`String`	True	LocationRoute.
`StreetNumber`	`String`	True	StreetNumber.
`Sublocality`	`String`	True	Sublocality.
`Subpremise`	`String`	True	Subpremise.
`MarkedAsDoneTime`	`Datetime`	True	MarkedAsDoneTime.
`Note`	`String`	False	Note of the Activity HTML format.
`NotificationLanguageId`	`Integer`	True	NotificationLanguageId.
`OrgId`	`Integer`	False	The ID of the Organization this Activity is associated with.
`OrgName`	`String`	True	OrgName.
`OwnerName`	`String`	True	OwnerName.
`Participants`	`String`	False	List of multiple Persons participants this Activity is associated with If omitted single participant from person_id field is used.
`PersonDropboxBcc`	`String`	True	PersonDropboxBcc.
`PersonId`	`Integer`	False	The ID of the Person this Activity is associated with.
`PersonName`	`String`	True	PersonName.
`PublicDescription`	`String`	False	Additional details about the Activity that is synced to your external calendar Unlike the note added to the Activity the description is publicly visible to any guests added to the Activity.
`RecMasterActivityId`	`String`	True	RecMasterActivityId.
`RecRule`	`String`	True	RecRule.
`RecRuleExtension`	`String`	True	RecRuleExtension.
`ReferenceId`	`Integer`	True	ReferenceId.
`ReferenceType`	`String`	True	ReferenceType.
`Series`	`String`	True	Series.
`SourceTimezone`	`String`	True	SourceTimezone.
`Subject`	`String`	False	Subject of the Activity. The default value is Call.
`Type`	`String`	True	Type of the Activity This is in correlation with the key_string parameter of ActivityTypes When value for type is not set, it will be given a default value Call. The default value is Call.
`UpdateTime`	`Datetime`	True	UpdateTime.
`UpdateUserId`	`Integer`	True	The ID of the User whose Activities will be fetched If omitted the User associated with the API token will be used If 0 Activities for all company Users will be fetched based on the permission sets.
`UserId`	`Integer`	False	UserId.

Pseudo-Columns

Pseudo column fields are used in the WHERE clause of SELECT statements and offer a more granular control over the tuples that are returned from the data source.

Name	Type	Description
`FilterId`	`Integer`	The ID of the Filter to use.
`StartDate`	`String`	Use the Activity due date where you wish to begin fetching Activities from Insert due date in YYYY-MM-DD format.
`EndDate`	`String`	Use the Activity due date where you wish to stop fetching Activities from Insert due date in YYYY-MM-DD format.

ActivityTypes

Get all ActivityTypes.

Select

The connector will use the Pipedrive API to process WHERE clause conditions built with the following columns and operators. The rest of the filter is executed client side within the connector.

Id supports the = operator.

For example, the following query is processed server side:

SELECT * FROM Activities WHERE ID = 9

INSERT

Insert can be executed by specifying the Name and IconKey columns. The columns that are not required can be inserted optionally. For example:

INSERT INTO ActivityTypes (Name, IconKey, color, IsCustomFlag, KeyString) VALUES ('test42', 'task', 'FFFFFF', 'true', 'call')

UPDATE

Update can be executed by specifying the ID in the WHERE Clause. The columns that are not read-only can be Updated. For example:

UPDATE ActivityTypes SET IconKey = 'email' WHERE ID = 7

DELETE

Delete can be executed by specifying the ID in the WHERE Clause. For example:

DELETE FROM ActivityTypes WHERE ID = 2

Columns

Name	Type	ReadOnly	Description
`Id [KEY]`	`Integer`	True	The ID of the ActivityType.
`ActiveFlag`	`Boolean`	True	ActiveFlag.
`AddTime`	`Datetime`	True	AddTime.
`Color`	`String`	False	A designated color for the ActivityType in 6-character HEX format.
`IconKey`	`String`	False	Icon graphic to use for representing this activity type. The allowed values are task, email, meeting, deadline, call, lunch, calendar, downarrow, document, smartphone, camera, scissors, cogs, bubble, uparrow, checkbox, signpost, shuffle, addressbook, linegraph, picture, car, world, search, clip, sound, brush, key, padlock, pricetag, suitcase, finish, plane, loop, wifi, truck, cart, bulb, bell, presentation.
`IsCustomFlag`	`Boolean`	True	IsCustomFlag.
`KeyString`	`String`	True	KeyString.
`Name`	`String`	False	The name of the ActivityType.
`OrderNr`	`Integer`	False	An order number for this ActivityType. Order numbers should be used to order the types in the ActivityType selections.
`UpdateTime`	`Datetime`	True	UpdateTime.

CallLogs

Returns all call logs assigned to a particular user.

Select

The connector will use the Pipedrive API to process WHERE clause conditions built with the following columns and operators. The rest of the filter is executed client side within the connector.

Id supports the = operator.

For example, the following query is processed server side:

SELECT * FROM CallLogs WHERE ID = 'cf75de9e4cbcb4a33658ad40561e3230'

INSERT

Insert can be executed by specifying the Outcome, ToPhoneNumber, StartTime and EndTime columns. The columns that are not required can be inserted optionally.

INSERT INTO CallLogs (Outcome, StartTime, EndTime, Duration, FromPhoneNumber, ToPhoneNumber, UserId, OrgId) VALUES ('connected', '2021-12-15', '2021-12-16', '140', '984656646', '9846566456', '8230170', '6')

DELETE

Delete can be executed by specifying the ID in the WHERE Clause. For example:

DELETE FROM CallLogs WHERE ID = '8381cea5da671fa16a1eb63af15e5ec4'

Columns

Name	Type	ReadOnly	Description
`Id [KEY]`	`String`	True	ID.
`ActivityId`	`Integer`	False	ActivityId.
`CompanyId`	`Integer`	True	CompanyId.
`DealId`	`Integer`	False	The ID of the Deal this call is associated with.
`Duration`	`String`	False	Call duration in seconds.
`EndTime`	`Datetime`	False	The date and time of the end of the call in UTC. Format: YYYY-MM-DD HH:MM:SS
`FromPhoneNumber`	`String`	False	The number that made the call.
`HasRecording`	`Boolean`	True	HasRecording.
`Note`	`String`	False	Note for the call log in HTML format.
`OrgId`	`Integer`	False	The ID of the Organization this call is associated with.
`Outcome`	`String`	False	Describes the outcome of the call. The allowed values are connected, no_answer, left_message, left_voicemail, wrong_number, busy.
`PersonId`	`Integer`	False	The ID of the Person this call is associated with.
`StartTime`	`Datetime`	False	The date and time of the start of the call in UTC. Format: YYYY-MM-DD HH:MM:SS
`Subject`	`String`	False	Name of the activity this call is attached to.
`ToPhoneNumber`	`String`	False	The number called.
`UserId`	`Integer`	False	The ID of the owner of the call log.

DealFields

Returns data about all deal fields.

Select

The connector will use the Pipedrive API to process WHERE clause conditions built with the following columns and operators. The rest of the filter is executed client side within the connector.

Id supports the = operator.

For example, the following query is processed server side:

SELECT * FROM DealFields WHERE ID = 12478

INSERT

Insert can be executed by specifying the Name and IconKey columns. The columns that are not required can be inserted optionally. For example:

INSERT INTO DealFields (Name, AddVisibleFlag, FieldType) VALUES ('test43', 'false', 'address')

UPDATE

Update can be executed by specifying the ID in the WHERE Clause. The columns that are not read-only can be Updated. For example:

UPDATE DealFields SET Name = 'test44' WHERE ID = '12500'

DELETE

Delete can be executed by specifying the ID in the WHERE Clause. For example:

DELETE FROM DealFields WHERE ID = 12500

Columns

Name	Type	ReadOnly	Description
`Id [KEY]`	`Integer`	True	ID of the field.
`ActiveFlag`	`Boolean`	True	Whether the field is available in 'add new' modal or not (both in web and mobile app). The default value is true.
`AddTime`	`Datetime`	True	AddTime.
`AddVisibleFlag`	`Boolean`	False	AddVisibleFlag.
`BulkEditAllowed`	`Boolean`	True	BulkEditAllowed.
`DetailsVisibleFlag`	`Boolean`	True	DetailsVisibleFlag.
`EditFlag`	`Boolean`	True	EditFlag.
`FieldType`	`String`	False	Type of the field. The allowed values are address, date, daterange, double, enum, monetary, org, people, phone, set, text, time, timerange, user, varchar, varchar_auto, visible_to.
`FilteringAllowed`	`Boolean`	True	FilteringAllowed.
`ImportantFlag`	`Boolean`	True	ImportantFlag.
`IndexVisibleFlag`	`Boolean`	True	IndexVisibleFlag.
`Key`	`String`	True	Key.
`LastUpdatedByUserId`	`String`	True	LastUpdatedByUserId.
`MandatoryFlag`	`Boolean`	True	MandatoryFlag.
`Name`	`String`	False	Name of the field.
`Options`	`String`	False	Options.
`OrderNr`	`Integer`	True	OrderNr.
`SearchableFlag`	`Boolean`	True	SearchableFlag.
`SortableFlag`	`Boolean`	True	SortableFlag.
`UpdateTime`	`Datetime`	True	UpdateTime.

Deals

Get all deals.

Select

The connector will use the Pipedrive API to process WHERE clause conditions built with the following columns and operators. The rest of the filter is executed client side within the connector.

Id supports the = operator.
StageId supports the = operator.
Status supports the = operator.
FilterId supports the = operator.
UserId supports the = operator.
PersonId supports the = operator.
OrgId supports the = operator.
OwnedByYou supports the = operator.

For example, the following query is processed server side:

SELECT * FROM Deals WHERE Id = 14

SELECT * FROM Deals WHERE StageId = 1

SELECT * FROM Deals WHERE  Status = 'Open'

SELECT * FROM Deals WHERE FilterId = 1

SELECT * FROM Deals WHERE FilterId = 1

SELECT * FROM Deals WHERE OrgId = 1

SELECT * FROM Deals WHERE OwnedByYou = 1

INSERT

Insert can be executed by specifying the Title columns.The columns that are not read-only can be inserted. Following is an example of how to insert into this table.

INSERT INTO Deals (title, PersonId) VALUES ('tetsptest', 6203)

UPDATE

Update can be executed by specifying the ID in the WHERE Clause. The columns that are not read-only can be Updated. For example:

UPDATE Deals SET Title = 'test' WHERE ID = 15

DELETE

Delete can be executed by specifying the ID in the WHERE Clause. For example:

DELETE FROM Deals WHERE ID = 15

Columns

Name	Type	ReadOnly	Description
`Id [KEY]`	`Integer`	True	Deals id.
`Active`	`Boolean`	True	Active.
`ActivitiesCount`	`Integer`	True	Activities Count.
`AddTime`	`Datetime`	False	AddTime.
`CcEmail`	`String`	True	Cc Email.
`CloseTime`	`String`	True	Close Time.
`CreatorActiveFlag`	`Boolean`	True	Creator ActiveFlag.
`CreatorEmail`	`String`	True	Creator Email.
`CreatorHasPic`	`Boolean`	True	Creator HasPic.
`CreatorId`	`Integer`	True	Creator Id.
`CreatorName`	`String`	True	Creator Name.
`CreatorPicHash`	`String`	True	CreatorPicHash.
`Creatorvalue`	`Integer`	True	Creatorvalue.
`Currency`	`String`	False	Currency.
`CustomeField`	`String`	True	CustomeField you will get the result of this column only when criteria filter title is used.
`Deleted`	`Boolean`	True	Deleted.
`DoneActivitiesCount`	`Integer`	True	Done Activities Count.
`EmailMessagesCount`	`Integer`	True	Email Messages Count.
`ExpectedCloseDate`	`Date`	False	Expected Close Date.
`FilesCount`	`Integer`	True	Files Count.
`FirstWonTime`	`Datetime`	True	First Won Time.
`FollowersCount`	`Integer`	True	Followers Count.
`FormattedValue`	`String`	True	Formatted Value.
`FormattedWeightedValue`	`String`	True	Formatted Weighted Value.
`Label`	`String`	True	Label.
`LastActivityDate`	`String`	True	Last Activity Date.
`LastActivityId`	`String`	True	Last Activity Id.
`LastIncomingMailTime`	`Datetime`	True	Last Incoming MailTime.
`LastOutgoingMailTime`	`Datetime`	True	Last OutgoingMail Time.
`LostReason`	`String`	False	Lost Reason.
`LostTime`	`String`	True	Lost Time.
`NextActivityDate`	`Date`	True	Next Activity Date.
`NextActivityDuration`	`Time`	True	Next Activity Duration.
`NextActivityId`	`Integer`	True	Next Activity Id.
`NextActivityNote`	`String`	True	Next Activity Note.
`NextActivitySubject`	`String`	True	Next Activity Subject.
`NextActivityTime`	`Time`	True	Next Activity Time.
`NextActivityType`	`String`	True	Next Activity Type.
`NotesCount`	`Integer`	True	NotesCount.
`Notes`	`String`	True	Notes.
`OrgHidden`	`Boolean`	True	Org Hidden.
`OrgActiveFlag`	`Boolean`	True	Org ActiveFlag.
`OrgAddress`	`String`	True	Org Address.
`OrgCcEmail`	`String`	True	Org CcEmail.
`OrgName`	`String`	True	Org Name.
`OrgOwnerId`	`Integer`	True	Org OwnerId.
`OrgPeopleCount`	`Integer`	True	Org PeopleCount.
`OrgValue`	`Integer`	True	Org Value.
`OwnerName`	`String`	True	Owner Name.
`OwnerId`	`String`	True	Owner ID you will get the result of this column only when criteria filter title is used.
`ParticipantsCount`	`Integer`	True	Participants Count.
`PersonHidden`	`Boolean`	True	Person Hidden.
`PersonActiveFlag`	`Boolean`	True	Person Active Flag.
`PersonEmail`	`String`	True	Person Email.
`PersonName`	`String`	True	Person Name.
`PersonPhone`	`String`	True	Person Phone.
`Personvalue`	`Integer`	True	Personvalue.
`PipelineId`	`Integer`	True	PipelineId.
`Probability`	`String`	True	Probability.
`ProductsCount`	`Integer`	True	Products Count.
`RottenTime`	`String`	True	RottenTime.
`ResultScore`	`String`	True	Result score you will get the result of this column only when criteria filter title is used.
`StageChangeTime`	`Datetime`	True	Stage Change Time.
`StageId`	`Integer`	True	StageId.
`StageName`	`String`	True	StageName.
`StageOrderNr`	`Integer`	True	Stage OrderNr.
`Status`	`String`	False	Status. The allowed values are open, won, lost, deleted, all_not_deleted. The default value is all_not_deleted.
`Title`	`String`	False	Title.
`Type`	`String`	True	Type you will get the result of this column only when criteria filter title is used.
`UndoneActivitiesCount`	`Integer`	True	Undone Activities Count.
`UpdateTime`	`Datetime`	True	Update Time.
`UserActiveFlag`	`Boolean`	True	User ActiveFlag.
`UserEmail`	`String`	True	User Email.
`UserHasPic`	`Boolean`	True	User HasPic.
`UserId`	`Integer`	False	User Id.
`UserName`	`String`	True	User Name.
`UserPicHash`	`String`	True	User PicHash.
`Uservalue`	`Integer`	True	User value.
`Value`	`Integer`	False	Value of the deal. The default value is 0.
`VisibleTo`	`String`	False	Visibility of the deal. The allowed values are 1, 3, 5, 7.
`WeightedValue`	`Integer`	True	Visible To.
`WeightedValueCurrency`	`String`	True	Weighted Value Currency.
`OrderOfStages`	`Integer`	True	You will get the result of this column only when criteria filter ID is used.
`AverageTimeToWonY`	`Integer`	True	You will get the result of this column only when criteria filter ID is used.
`AverageTimeToWonM`	`Integer`	True	You will get the result of this column only when criteria filter ID is used.
`AverageTimeToWond`	`Integer`	True	You will get the result of this column only when criteria filter ID is used.
`AverageTimeToWonh`	`Integer`	True	You will get the result of this column only when criteria filter ID is used.
`AverageTimeToWons`	`Integer`	True	You will get the result of this column only when criteria filter ID is used.
`AverageTimeToWoni`	`Integer`	True	You will get the result of this column only when criteria filter ID is used.
`AverageTotalSeconds`	`Integer`	True	You will get the result of this column only when criteria filter ID is used.
`AverageStageProgress`	`Integer`	True	You will get the result of this column only when criteria filter ID is used.
`AgeY`	`Integer`	True	You will get the result of this column only when criteria filter ID is used.
`AgeM`	`Integer`	True	You will get the result of this column only when criteria filter ID is used.
`Aged`	`Integer`	True	You will get the result of this column only when criteria filter ID is used.
`Ageh`	`Integer`	True	You will get the result of this column only when criteria filter ID is used.
`Ages`	`Integer`	True	You will get the result of this column only when criteria filter ID is used.
`Agei`	`Integer`	True	You will get the result of this column only when criteria filter ID is used.
`AgeTotalSeconds`	`Integer`	True	You will get the result of this column only when criteria filter ID is used.
`WonTime`	`Datetime`	True	Won time.

Pseudo-Columns

Pseudo column fields are used in the WHERE clause of SELECT statements and offer a more granular control over the tuples that are returned from the data source.

Name	Type	Description
`FilterId`	`Integer`	Filter Id
`OwnedByYou`	`Integer`	Owned By You The allowed values are 0, 1.
`PersonId`	`Integer`	Person Id
`OrgId`	`Integer`	Org Id

DealsFollowers

Get details of deals followers.

Select

The connector will use the Pipedrive API to process WHERE clause conditions built with the following columns and operators. The rest of the filter is executed client side within the connector.

Id supports the = operator.

For example, the following query is processed server side:

SELECT * FROM DealsFollowers WHERE ID = 2

INSERT

Insert can be executed by specifying the Name and IconKey columns. The columns that are not required can be inserted optionally. For example:

INSERT INTO DealsFollowers (userid, id) VALUES (8230170, 8)

DELETE

Delete can be executed by specifying the Id, DealId in the WHERE Clause. For example:

DELETE FROM DealsFollowers WHERE ID = 1 AND Dealid = 1

Columns

Name	Type	ReadOnly	Description
`Id [KEY]`	`Integer`	True	Id.
`AddTime`	`Datetime`	True	AddTime.
`UserId`	`Integer`	False	User Id.
`DealId`	`Integer`	True	Deal Id.

DealsParticipants

Get details of deals participants.

Select

The connector will use the Pipedrive API to process WHERE clause conditions built with the following columns and operators. The rest of the filter is executed client side within the connector.

Id supports the = operator.

For example, the following query is processed server side:

SELECT * FROM DealsParticipants WHERE ID = 9

INSERT

Insert can be executed by specifying the Content and PersonId columns. The columns that are not required can be inserted optionally. For example:

INSERT INTO DealsParticipants (Id, Personid) VALUES (4, 6)

DELETE

Delete can be executed by specifying the ID in the WHERE Clause. For example:

DELETE FROM DealsParticipants WHERE ID = 14 AND ItemDealId = 17

Columns

Name	Type	ReadOnly	Description
`Id [KEY]`	`Integer`	True	Id.
`ActiveFlag`	`Boolean`	True	ActiveFlag.
`AddTime`	`Datetime`	True	AddTime.
`AddedByactiveFlag`	`Boolean`	True	AddedByactiveFlag.
`AddedByemail`	`String`	True	AddedByemail.
`AddedByhasPic`	`Integer`	True	AddedByhasPic.
`AddedByid`	`Integer`	True	AddedByid.
`AddedByname`	`String`	True	AddedByname.
`AddedBypicHash`	`String`	True	AddedBypicHash.
`AddedByvalue`	`Integer`	True	Added_byvalue.
`PersonActiveFlag`	`Boolean`	True	PersonActiveFlag.
`ActivitiesCount`	`Integer`	True	ActivitiesCount.
`PersonAddTime`	`Datetime`	True	AddTime.
`CcEmail`	`String`	True	CcEmail.
`ClosedDealsCount`	`Integer`	True	ClosedDealsCount.
`CompanyId`	`Integer`	True	CompanyId.
`DoneActivitiesCount`	`Integer`	True	DoneActivitiesCount.
`Email`	`String`	True	Email.
`EmailMessagesCount`	`Integer`	True	EmailMessagesCount.
`FilesCount`	`Integer`	True	FilesCount.
`FirstChar`	`String`	True	FirstChar.
`FirstName`	`String`	True	FirstName.
`FollowersCount`	`Integer`	True	FollowersCount.
`Personlabel`	`String`	True	Personlabel.
`LastActivityDate`	`Date`	True	LastActivityDate.
`LastActivityId`	`Integer`	True	LastActivityId.
`LastincomingMailTime`	`String`	True	LastincomingMailTime.
`Lastname`	`String`	True	Lastname.
`LastoutgoingMailTime`	`String`	True	LastoutgoingMailTime.
`LostdealsCount`	`Integer`	True	LostdealsCount.
`Name`	`String`	True	Name.
`NextActivityDate`	`Date`	True	nextActivityDate.
`NextActivityId`	`Integer`	True	nextActivityId.
`NextActivityTime`	`String`	True	nextActivityTime.
`NotesCount`	`Integer`	True	NotesCount.
`OpenDealsCount`	`Integer`	True	OpenDealsCount.
`OrgActiveFlag`	`Boolean`	True	OrgActiveFlag.
`OrgAddress`	`String`	True	OrgAddress.
`OrgCcEmail`	`String`	True	OrgCcEmail.
`OrgName`	`String`	True	OrgName.
`OrgownerId`	`Integer`	True	OrgownerId.
`OrgpeopleCount`	`Integer`	True	OrgpeopleCount.
`OrgId`	`Integer`	True	OrgId.
`OwnerActiveFlag`	`Boolean`	True	OwnerActiveFlag.
`OwnerEmail`	`String`	True	OwnerEmail.
`OwnerHasPic`	`Integer`	True	OwnerHasPic.
`OwnerId`	`Integer`	True	OwnerId.
`OwnerName`	`String`	True	OwnerName.
`OwnerPicHash`	`String`	True	OwnerPicHash.
`OwnerValue`	`Integer`	True	OwnerValue.
`ParticipantClosedDealsCount`	`Integer`	True	ClosedDealsCount.
`ParticipantOpenDealsCount`	`Integer`	True	OpenDealsCount.
`Phone`	`String`	True	Phone.
`PictureId`	`String`	True	PictureId.
`RelatedclosedDealsCount`	`Integer`	True	RelatedclosedDealsCount.
`RelatedlostDealsCount`	`Integer`	True	RelatedlostDealsCount.
`RelatedopenDealsCount`	`Integer`	True	RelatedopenDealsCount.
`RelatedwonDealsCount`	`Integer`	True	RelatedwonDealsCount.
`SyncNeeded`	`Boolean`	True	SyncNeeded.
`UndoneActivitiesCount`	`Integer`	True	UndoneActivitiesCount.
`UpdateTime`	`Datetime`	True	UpdateTime.
`VisibleTo`	`String`	True	visibleTo.
`WonDealsCount`	`Integer`	True	WonDealsCount.
`PersonIdActiveFlag`	`Boolean`	True	PersonactiveFlag.
`Personemail`	`String`	True	Personemail.
`Personname`	`String`	True	Personname.
`Personphone`	`String`	True	Personphone.
`PersonValues`	`Integer`	False	PersonValues.
`ItemDealId`	`Integer`	True	ItemDealId.
`ItemTitle`	`String`	True	ItemTitle.
`ItemId`	`Integer`	True	ItemId.
`ItemType`	`String`	True	ItemType.
`PersonId`	`Integer`	False	Person Id.
`PersonOrgName`	`String`	True	Person OrgName.
`PersonOwnerName`	`String`	True	Person OwnerName.

DealsProducts

Get details of deals products.

Select

The connector will use the Pipedrive API to process WHERE clause conditions built with the following columns and operators. The rest of the filter is executed client side within the connector.

Id supports the = operator.

For example, the following query is processed server side:

SELECT * FROM DealsProducts WHERE ID = 9

INSERT

Insert can be executed by specifying the Content and PersonId columns. The columns that are not required can be inserted optionally. For example:

INSERT INTO DealsProducts (DealId, ProductId, ItemPrice, quantity) VALUES (2, 2, 20000, 1)

UPDATE

Update can be executed by specifying the ID and Dealid in the WHERE Clause. The columns that are not read-only can be Updated. For example:

UPDATE DealsProducts SET quantity = 20 WHERE ID = 15 AND Dealid = 2

DELETE

Delete can be executed by specifying the Id, DealId in the WHERE Clause. For example:

DELETE FROM DealsProducts WHERE ID = 15 AND Dealid = 2

Columns

Name	Type	ReadOnly	Description
`Id [KEY]`	`Integer`	True	Id.
`ActiveFlag`	`Boolean`	True	ActiveFlag.
`AddTime`	`Datetime`	True	AddTime.
`Comments`	`String`	False	Any textual comment associated with this product-deal attachment.
`Currency`	`String`	True	Currency.
`DealId`	`Integer`	False	Deal id.
`DiscountPercentage`	`Double`	True	Discount %. The default value is 0.
`Duration`	`Integer`	True	Duration of the product. The default value is 1.
`DurationUnit`	`String`	True	DurationUnit.
`EnabledFlag`	`Boolean`	False	Whether the product is enabled on the deal or not. The allowed values are 0, 1.
`ItemPrice`	`Integer`	False	Price at which this product will be added to the deal.
`LastEdit`	`String`	True	LastEdit.
`Name`	`String`	True	Name.
`OrderNr`	`Integer`	True	OrderNr.
`ProductActiveFlag`	`Boolean`	True	Product ActiveFlag.
`ProductAddTime`	`Datetime`	True	Product AddTime.
`Category`	`String`	True	Category.
`code`	`String`	True	Code.
`description`	`String`	True	Description.
`FilesCount`	`String`	True	FilesCount.
`FirstChar`	`String`	True	FirstChar.
`ProductsId`	`Integer`	True	ProductsId.
`ProductName`	`String`	True	ProductName.
`OwnerActiveFlag`	`Boolean`	True	OwnerActiveFlag.
`OwnerEmail`	`String`	True	OwnerEmail.
`OwnerHasPic`	`Boolean`	True	OwnerHasPic.
`OwnerId`	`Integer`	True	OwnerId.
`OwnerName`	`String`	True	OwnerName.
`OwnerPicHash`	`String`	True	OwnerPicHash.
`OwnerValue`	`Integer`	True	OwnerValue.
`EURCost`	`Integer`	True	EURCost.
`EURCurrency`	`String`	True	EURCurrency.
`EURId`	`Integer`	True	EURId.
`EUROverheadCost`	`Integer`	True	EUROverheadCost.
`EURPrice`	`Integer`	True	EURPrice.
`EURProductId`	`Integer`	True	EURProductId.
`Selectable`	`Boolean`	True	selectable.
`ProductTax`	`Integer`	True	ProductTax.
`unit`	`String`	True	unit.
`UpdateTime`	`Datetime`	True	UpdateTime.
`VisibleTo`	`String`	True	VisibleTo.
`ProductId`	`Integer`	False	ID of the product that will be attached.
`VariationId`	`String`	False	ID of the product variation.
`Quantity`	`Integer`	False	How many items of this product will be added to the deal.
`QuantityFormatted`	`String`	True	QuantityFormatted.
`Sum`	`Double`	True	Sum.
`SumFormatted`	`String`	True	SumFormatted.
`SumNoDiscount`	`Integer`	True	SumNoDiscount.
`Tax`	`Integer`	False	Tax percentage. The default value is 0.

Files

Returns data about all files.

Select

The connector will use the Pipedrive API to process WHERE clause conditions built with the following columns and operators. The rest of the filter is executed client side within the connector.

Id supports the = operator.

For example, the following query is processed server side:

SELECT * FROM Files WHERE ID = 400

UPDATE

Update can be executed by specifying the ID in the WHERE Clause. The columns that are not read-only can be Updated. For example:

UPDATE Files SET Name = 'Updating PipeDrive Pipelines1' WHERE ID = 405

DELETE

Delete can be executed by specifying the ID in the WHERE Clause. For example:

DELETE FROM Files WHERE ID = 400

Columns

Name	Type	ReadOnly	Description
`Id [KEY]`	`Integer`	True	ID of the file.
`ActiveFlag`	`Boolean`	True	ActiveFlag.
`ActivityId`	`String`	True	ID of the activity to associate file.
`AddTime`	`Datetime`	True	AddTime.
`Cid`	`String`	True	Cid.
`DealId`	`String`	True	ID of the deal to associate file.
`DealName`	`String`	True	DealName.
`Description`	`String`	False	Description of the file.
`FileName`	`String`	True	FileName.
`FileSize`	`Integer`	True	FileSize.
`FileType`	`String`	True	FileType.
`InlineFlag`	`Boolean`	True	InlineFlag.
`LogId`	`String`	True	LogId.
`MailMessageId`	`String`	True	MailMessageId.
`MailTemplateId`	`String`	True	MailTemplateId.
`Name`	`String`	False	Visible name of the file.
`OrgId`	`String`	True	ID of the organization to associate file.
`OrgName`	`String`	True	OrgName.
`PersonId`	`Integer`	True	ID of the person to associate file.
`PersonName`	`String`	True	PersonName.
`ProductId`	`String`	True	ID of the product to associate file.
`ProductName`	`String`	True	ProductName.
`RemoteId`	`String`	True	RemoteId.
`RemoteLocation`	`String`	True	RemoteLocation.
`S3Bucket`	`String`	True	S3Bucket.
`UpdateTime`	`Datetime`	True	UpdateTime.
`Url`	`String`	True	Url.
`UserId`	`Integer`	True	UserId.
`LeadId`	`String`	True	LeadId.
`LeadName`	`String`	True	LeadName.

Filters

Returns data about all filters.

Select

The connector will use the Pipedrive API to process WHERE clause conditions built with the following columns and operators. The rest of the filter is executed client side within the connector.

Id supports the = operator.
Type supports the = operator.

For example, the following query is processed server side:

SELECT * FROM Filters WHERE ID = 39

INSERT

Insert can be executed by specifying the Name, Conditions and Type columns. The columns that are not required can be inserted optionally. For example:

INSERT INTO Filters (Name, Conditions, Type) VALUES ('Indias Filter', '{"glue": "and","conditions": [{"glue": "and","conditions": [{"object": "organization","field_id": "4020"}]}]}', 'deals')

UPDATE

Update can be executed by specifying the ID in the WHERE Clause. The columns that are not read-only can be Updated. For example:

UPDATE Filters SET Name = 'Updating Pipedrive filters', Conditions = '{"glue": "and","conditions": [{"glue": "or","conditions": [{"object": "organization123","field_id": "4021"}]}]}' WHERE ID = 39

DELETE

Delete can be executed by specifying the ID in the WHERE Clause. For example:

DELETE FROM Filters WHERE ID = 10

Columns

Name	Type	ReadOnly	Description
`Id [KEY]`	`Integer`	True	The ID of the filter.
`ActiveFlag`	`Boolean`	True	ActiveFlag.
`AddTime`	`Datetime`	True	AddTime.
`CustomViewId`	`String`	True	CustomViewId.
`Name`	`String`	False	The name of the filter.
`TemporaryFlag`	`String`	True	TemporaryFlag.
`Type`	`String`	False	The types of filters to fetch. The allowed values are deals, org, people, products, activity.
`UpdateTime`	`String`	True	UpdateTime.
`UserId`	`Integer`	True	UserId.
`VisibleTo`	`Integer`	True	VisibleTo.

Pseudo-Columns

Pseudo column fields are used in the WHERE clause of SELECT statements and offer a more granular control over the tuples that are returned from the data source.

Name	Type	Description
`Conditions`	`String`	The conditions of the filter as a JSON object.

Goals

Goals help your team meet your sales targets.

Select

The connector will use the Pipedrive API to process WHERE clause conditions built with the following columns and operators. The rest of the filter is executed client side within the connector.

Id supports the = operator.
Title supports the = operator.
Name supports the = operator.
Type supports the = operator.
Title supports the = operator.
PipelineId supports the = operator.
ActivityTypeId supports the = operator.

For example, the following query is processed server side:

SELECT * FROM Goals WHERE id = 'c924154b747f214228a906d3de079801' AND DurationEnd = '2022-02-03' AND DurationStart = '2022-01-01'

SELECT * FROM Goals WHERE Title = 'test'

SELECT * FROM Goals WHERE Type = 'test'

SELECT * FROM Goals WHERE TypeName = 'test'

INSERT

Insert can be executed by specifying the Content and PersonId columns. The columns that are not required can be inserted optionally. For example:

INSERT INTO Goals (Title, AssigneeId, AssigneeType, DurationStart, DurationEnd, Target, CurrencyId, TrackingMetric, Iterval, TypeName, PipelineId) VALUES ('test', 13815887, 'person', '2022-01-21', '2022-02-03', 50, 1, 'sum', 'monthly', 'deals_started', 'null')

UPDATE

Update can be executed by specifying the ID in the WHERE Clause. The columns that are not read-only can be Updated. For example:

UPDATE Goals SET title = 'test' WHERE ID = 'c924154b747f214228a906d3de079801'

DELETE

Delete can be executed by specifying the ID in the WHERE Clause. For example:

DELETE FROM Goals WHERE ID = 'c924154b747f214228a906d3de079801'

Columns

Name	Type	ReadOnly	Description
`Id [KEY]`	`String`	True	Id.
`AssigneeId`	`Integer`	False	ID of the user who's goal to fetch.
`AssigneeType`	`String`	False	Type of the goal's assignee. If provided, everyone's goals will be returned. The allowed values are person, team, company.
`DurationEnd`	`Date`	False	End date of the period for which to find goals.
`DurationStart`	`Date`	False	Start date of the period for which to find goals.
`Target`	`Integer`	False	Numeric value of the outcome. If provided, everyone's goals will be returned.
`CurrencyId`	`String`	False	Numeric value of the outcome. If provided, everyone's goals will be returned.
`TrackingMetric`	`String`	False	Tracking metric of the expected outcome of the goal. If provided, everyone's goals will be returned.
`Interval`	`String`	False	Interval of the goal. The allowed values are weekly, monthly, quarterly, yearly.
`IsActive`	`Boolean`	False	Whether goal is active or not. The default value is true.
`OwnerId`	`Integer`	True	OwnerId.
`ReportIds`	`String`	True	ReportIds.
`Title`	`String`	False	Title of the goal.
`TypeName`	`String`	False	Type of the goal. If provided, everyone's goals will be returned. The allowed values are deals_won, deals_progressed, activities_completed, activities_added, deals_started.
`PipelineId`	`String`	False	ID of the pipeline.
`ActivityTypeId`	`String`	False	ID of the activity_type.

LeadLabels

Returns details of all Lead Labels.

Select

The connector will use the Pipedrive API to process WHERE clause conditions built with the following columns and operators. The rest of the filter is executed client side within the connector.

Id supports the = operator.

For example, the following query is processed server side:

SELECT * FROM LeadLabels

INSERT

Insert can be executed by specifying the Name and Color columns. The columns that are not required can be inserted optionally. For example:

INSERT INTO LeadLabels (Name, Color) VALUES ('BangaloreCdataIndia123', 'blue')

UPDATE

Update can be executed by specifying the ID in the WHERE Clause. The columns that are not read-only can be Updated. For example:

UPDATE LeadLabels SET Name = 'I am updating content' WHERE ID = '28093520-743a-11ec-96e6-031cfba07e9a'

DELETE

Delete can be executed by specifying the ID in the WHERE Clause. For example:

DELETE FROM LeadLabels WHERE ID = '28093520-743a-11ec-96e6-031cfba07e9a'

Columns

Name	Type	ReadOnly	Description
`Id [KEY]`	`String`	True	The ID of the Lead Label.
`AddTime`	`Datetime`	True	AddTime.
`Color`	`String`	False	The color of the label. The allowed values are green, blue, red, yellow, purple, gray.
`Name`	`String`	False	The name of the Lead Label.
`UpdateTime`	`Datetime`	True	UpdateTime.

Leads

Returns lead data.

Select

The connector will use the Pipedrive API to process WHERE clause conditions built with the following columns and operators. The rest of the filter is executed client side within the connector.

Id supports the = operator.
SearchByEmail supports the = operator.
OwnerId supports the = operator.
PersonId supports the = operator.
OrganizationId supports the = operator.

For example, the following query is processed server side:

SELECT * FROM Leads

SELECT * FROM Leads WHERE Id = 'a300ea00-5d6c-11ec-9270-93cbb0be1eed'

SELECT * FROM Leads WHERE SearchByEmail = 'all'

INSERT

Insert can be executed by specifying the Title column. The columns that are not required can be inserted optionally. For example:

INSERT INTO Leads (Title, Personid, Visibleto, ExpectedCloseDate) VALUES ('123', 1, 1, '2022-01-01')

UPDATE

Update can be executed by specifying the ID in the WHERE Clause. The columns that are not read-only can be Updated. For example:

UPDATE Leads SET Title = 'CdataIndia' WHERE ID = 'bf1bb1e0-6e13-11ec-b981-a127469657bd'

DELETE

Delete can be executed by specifying the ID in the WHERE Clause. For example:

DELETE FROM Leads WHERE ID = 'bf1bb1e0-6e13-11ec-b981-a127469657bd'

Columns

Name	Type	ReadOnly	Description
`Id [KEY]`	`String`	True	The ID of the Lead.
`Addtime`	`Datetime`	True	Addtime.
`CcEmail`	`String`	True	Ccemail.
`CreatorId`	`Integer`	True	Creatorid.
`ExpectedCloseDate`	`String`	False	The date of when the Deal which will be created from the Lead is expected to be closed.
`Isarchived`	`Boolean`	True	A flag indicating whether the Lead is archived or not.
`Labelids`	`String`	False	The IDs of the Lead Labels which will be associated with the Lead.
`NextactivityId`	`Integer`	True	Nextactivityid.
`OrganizationId`	`String`	False	The ID of an Organization which this Lead will be linked to.
`OwnerId`	`Integer`	False	The ID of the User which will be the owner of the created Lead.
`PersonId`	`Integer`	False	The ID of a Person which this Lead will be linked to.
`Sourcename`	`String`	False	Sourcename.
`Title`	`String`	False	The name of the Lead.
`Updatetime`	`Datetime`	True	UpdateTime.
`Amount`	`Integer`	False	The potential value of the Lead.
`Currency`	`String`	True	The currency value of the Lead.
`Visibleto`	`String`	False	Visibility of the Lead. The allowed values are 1, 3, 5, 7.
`Wasseen`	`Boolean`	False	A flag indicating whether the Lead was seen by someone in the Pipedrive UI.

Pseudo-Columns

Pseudo column fields are used in the WHERE clause of SELECT statements and offer a more granular control over the tuples that are returned from the data source.

Name	Type	Description
`SearchByEmail`	`Integer`	Filtering based on archived status of a Lead. If not provided, All is used. The allowed values are archived, not_archived, all. The default value is all.

MailThreads

Get, Update and Delete mail threads in a specified folder ordered by the most recent message within.

Select

The connector will use the Pipedrive API to process WHERE clause conditions built with the following columns and operators. The rest of the filter is executed client side within the connector.

Id supports the = operator.
Folder supports the = operator.

For example, the following query is processed server side:

SELECT * FROM MailThreads WHERE Folder = 'inbox'

UPDATE

Update can be executed by specifying the ID in the WHERE Clause. The columns that are not read-only can be Updated. For example:

UPDATE MailThreads SET Subject = 'test' WHERE ID = 145

DELETE

Delete can be executed by specifying the ID in the WHERE Clause. For example:

DELETE FROM MailThreads WHERE ID = 145

Columns

Name	Type	ReadOnly	Description
`Id [KEY]`	`Integer`	True	ID of the Mail Threads.
`PartiesTo`	`String`	True	To.
`PartiesFrom`	`String`	True	From.
`DraftParties`	`String`	True	Draft Parties.
`Folders`	`String`	True	Folders.
`AccountId`	`String`	True	Account Id.
`UserId`	`Integer`	True	User Id.
`Version`	`Integer`	True	Version.
`Subject`	`String`	True	Subject.
`Snippet`	`String`	True	Snippet.
`SnippetDraft`	`String`	True	SnippetDraft.
`SnippetSent`	`String`	True	SnippetSent.
`HasAttachmentsFlag`	`Integer`	True	HasAttachmentsFlag.
`HasInlineAttachmentsFlag`	`Integer`	True	HasInlineAttachmentsFlag.
`HasRealAttachmentsFlag`	`Integer`	True	HasRealAttachmentsFlag.
`HasDraftFlag`	`Integer`	True	HasDraftFlag.
`HasSentFlag`	`Integer`	True	HasSentFlag.
`ArchivedFlag`	`Integer`	True	ArchivedFlag.
`DeletedFlag`	`Integer`	True	DeletedFlag.
`SyncedFlag`	`Integer`	True	SyncedFlag.
`ExternalDeletedFlag`	`Integer`	True	ExternalDeletedFlag.
`SmartBccFlag`	`Integer`	True	SmartBccFlag.
`FirstMessageToMeFlag`	`Integer`	True	FirstMessageToMeFlag.
`MailLinkTrackingEnabledFlag`	`Integer`	True	MailLinkTrackingEnabledFlag.
`LastMessageTimestamp`	`String`	True	LastMessageTimestamp.
`FirstMessageTimestamp`	`String`	True	FirstMessageTimestamp.
`LastMessageSentTimestamp`	`String`	True	LastMessageSentTimestamp.
`LastMessageReceivedTimestamp`	`String`	True	LastMessageReceivedTimestamp.
`AddTime`	`String`	True	AddTime.
`UpdateTime`	`String`	True	UpdateTime.
`DealId`	`Integer`	True	DealId.
`DealStatus`	`Integer`	True	DealStatus.
`AllMessagesSentFlag`	`Integer`	True	AllMessagesSentFlag.

Pseudo-Columns

Pseudo column fields are used in the WHERE clause of SELECT statements and offer a more granular control over the tuples that are returned from the data source.

Name	Type	Description
`Folder`	`String`	The type of folder to fetch.

NoteComments

Create, Update, Delete and Get the comments associated with a note.

Select

The connector will use the Pipedrive API to process WHERE clause conditions built with the following columns and operators. The rest of the filter is executed client side within the connector.

NoteId supports the = operator.
UUID supports the = operator.

For example, the following query is processed server side:

SELECT * FROM NoteComments WHERE NoteId = 14

INSERT

Insert can be executed by specifying the NoteId and Content columns.The columns that are not read-only can be inserted. Following is an example of how to insert into this table.

INSERT INTO NoteComments (NoteId,Content) VALUES (2, 'Test comment')

UPDATE

Update can be executed by specifying the NoteId and UUID in the WHERE Clause. The columns that are not read-only can be Updated. For example:

UPDATE NoteComments SET Content='Test' where NoteId=1 and UUID = '53e0c79fdacf083d9fe1f799fdc0a206'

DELETE

Delete can be executed by specifying the NoteId and UUID in the WHERE Clause. For example:

DELETE FROM NoteComments WHERE NoteId=1 and UUID = '53e0c79fdacf083d9fe1f799fdc0a206'

Columns

Name	Type	ReadOnly	Description
`NoteId [KEY]`	`Integer`	True	ID of the note.
`UUID`	`String`	False	Comment Id.
`ActiveFlag`	`Boolean`	False	Active flag.
`AddTime`	`String`	False	Add time of the note comment.
`CompanyId`	`Integer`	True	Company Id.
`Content`	`String`	False	Content of the comment.
`ObjectId`	`String`	True	Object Id.
`ObjectType`	`String`	False	Object type.
`UpdateTime`	`String`	False	Update time of the comment.
`UpdaterId`	`Integer`	True	Updater Id.
`UserId`	`Integer`	True	User Id.

Notes

Returns all notes.

Select

The connector will use the Pipedrive API to process WHERE clause conditions built with the following columns and operators. The rest of the filter is executed client side within the connector.

Id supports the = operator.
UserId supports the = operator.
LeadId supports the = operator.
DealId supports the = operator.
PersonId supports the = operator.
OrgId supports the = operator.
PinnedToLeadFlag supports the = operator.
PinnedToDealFlag supports the = operator.
PinnedToOrganizationFlag supports the = operator.
PinnedToPersonFlag supports the = operator.

For example, the following query is processed server side:

SELECT * FROM Notes WHERE ID = 9

INSERT

Insert can be executed by specifying the Content and PersonId columns. The columns that are not required can be inserted optionally. For example:

INSERT INTO Notes (ActiveFlag, Content, PersonId, AddTime) VALUES ('true', 'this is frist notes', '8', '2021-12-31')

UPDATE

Update can be executed by specifying the ID in the WHERE Clause. The columns that are not read-only can be Updated. For example:

UPDATE Notes SET Content = 'I am updating content' WHERE ID = 7

DELETE

Delete can be executed by specifying the ID in the WHERE Clause. For example:

DELETE FROM Notes WHERE ID = 5

Columns

Name	Type	ReadOnly	Description
`Id [KEY]`	`Integer`	True	ID of the note.
`ActiveFlag`	`Boolean`	False	ActiveFlag.
`AddTime`	`Datetime`	False	AddTime.
`Content`	`String`	False	Content.
`DealTitle`	`String`	True	DealTitle.
`DealId`	`Integer`	False	The ID of the deal which notes to fetch.
`LastUpdateUserId`	`Integer`	True	LastUpdateUserId.
`LeadId`	`String`	False	The ID of the lead which notes to fetch.
`OrgId`	`Integer`	False	The ID of the organization which notes to fetch.
`OrganizationName`	`String`	True	OrganizationName.
`PersonName`	`String`	True	PersonName.
`PersonId`	`Integer`	False	The ID of the person whose notes to fetch.
`PinnedToDealFlag`	`Boolean`	False	If set, then results are filtered by note to deal pinning state. The allowed values are 0, 1.
`PinnedToLeadFlag`	`Boolean`	False	If set, then results are filtered by note to lead pinning state. The allowed values are 0, 1.
`PinnedToOrganizationFlag`	`Boolean`	False	If set, then results are filtered by note to organization pinning state. The allowed values are 0, 1.
`PinnedToPersonFlag`	`Boolean`	False	If set, then results are filtered by note to person pinning state. The allowed values are 0, 1.
`UpdateTime`	`Datetime`	True	UpdateTime.
`UserEmail`	`String`	True	UserEmail.
`UserIconUrl`	`String`	True	UserIconUUserNamerl.
`UserIsYou`	`Boolean`	True	UserIsYouUserName.
`UserName`	`String`	True	UserName.
`UserId`	`Integer`	True	The ID of the user whose notes to fetch.

OrganizationFields

Returns data about all organization fields.

Select

The connector will use the Pipedrive API to process WHERE clause conditions built with the following columns and operators. The rest of the filter is executed client side within the connector.

Id supports the = operator.
OrgId supports the = operator.

For example, the following query is processed server side:

SELECT * FROM OrganizationRelationships WHERE id = 2

INSERT

Insert can be executed by specifying the Type, RelOwnerOrgId and RelLinkedOrgId columns. The columns that are not required can be inserted optionally. For example:

INSERT INTO OrganizationRelationships (Type, RelOwnerOrgId, RelLinkedOrgId) VALUES ('parent', '8230170', '8230170')

UPDATE

Update can be executed by specifying the ID in the WHERE Clause. The columns that are not read-only can be Updated. For example:

UPDATE OrganizationRelationships SET Type = 'related' WHERE ID = 2

DELETE

Delete can be executed by specifying the ID in the WHERE Clause. For example:

DELETE FROM OrganizationRelationships WHERE ID = 2

Columns

Name	Type	ReadOnly	Description
`Id [KEY]`	`Integer`	True	ID of the field.
`ActiveFlag`	`Boolean`	True	ActiveFlag.
`AddTime`	`Datetime`	True	AddTime.
`AddVisibleFlag`	`Boolean`	False	Whether the field is available in 'add new' modal or not. The default value is true.
`BulkEditAllowed`	`Boolean`	True	BulkEditAllowed.
`DetailsVisibleFlag`	`Boolean`	True	DetailsVisibleFlag.
`EditFlag`	`Boolean`	True	EditFlag.
`FieldType`	`String`	False	Type of the field. The allowed values are address, date, daterange, double, enum, monetary, org, people, phone, set, text, time, timerange, user, varchar, varchar_auto, visible_to.
`FilteringAllowed`	`Boolean`	True	FilteringAllowed.
`ImportantFlag`	`Boolean`	True	ImportantFlag.
`IndexVisibleFlag`	`Boolean`	True	IndexVisibleFlag.
`Key`	`String`	True	Key.
`LastUpdatedByUserId`	`String`	True	LastUpdatedByUserId.
`MandatoryFlag`	`Boolean`	True	MandatoryFlag.
`Name`	`String`	False	Name of the field.
`Options`	`String`	False	Options.
`OrderNr`	`Integer`	True	OrderNr.
`SearchableFlag`	`Boolean`	True	SearchableFlag.
`SortableFlag`	`Boolean`	True	SortableFlag.
`UpdateTime`	`Datetime`	True	UpdateTime.

OrganizationRelationships

Gets all of the relationships.

Select

The connector will use the Pipedrive API to process WHERE clause conditions built with the following columns and operators. The rest of the filter is executed client side within the connector.

Id supports the = operator.

For example, the following query is processed server side:

SELECT * FROM OrganizationRelationships WHERE ID = 9

INSERT

Insert can be executed by specifying the Content and PersonId columns. The columns that are not required can be inserted optionally. For example:

INSERT INTO OrganizationRelationships (type, RelOwnerOrgId, RelLinkedOrgId) VALUES ('parent', 2, 3)

UPDATE

Update can be executed by specifying the ID and Dealid in the WHERE Clause. The columns that are not read-only can be Updated. For example:

UPDATE OrganizationRelationships SET type = 'parent' WHERE ID = 10

DELETE

Delete can be executed by specifying the Id, DealId in the WHERE Clause. For example:

DELETE FROM OrganizationRelationships  WHERE ID = 10

Columns

Name	Type	ReadOnly	Description
`Id [KEY]`	`Integer`	True	ID of the organization relationship.
`ActiveFlag`	`Boolean`	True	ActiveFlag.
`AddTime`	`Datetime`	True	AddTime.
`CalculatedRelatedOrgId`	`Integer`	False	CalculatedRelatedOrgId.
`CalculatedType`	`String`	False	CalculatedType.
`RelLinkedOrgIdActiveFlag`	`Boolean`	False	RelLinkedOrgIdActiveFlag.
`RelLinkedOrgIdAddress`	`String`	False	RelLinkedOrgIdAddress.
`RelLinkedOrgIdCcEmail`	`String`	False	RelLinkedOrgIdCcEmail.
`RelLinkedOrgIdname`	`String`	False	RelLinkedOrgIdname.
`RelLinkedOrgIdownerId`	`Integer`	False	RelLinkedOrgIdownerId.
`RelLinkedOrgIdPeopleCount`	`Integer`	False	RelLinkedOrgIdPeopleCount.
`RelLinkedOrgIdvalue`	`Integer`	False	RelLinkedOrgIdvalue.
`RelOwnerOrgIdActiveFlag`	`Boolean`	False	RelOwnerOrgIdActiveFlag.
`RelOwnerOrgIdAddress`	`String`	False	RelOwnerOrgIdAddress.
`RelOwnerOrgIdCcEmail`	`String`	False	RelOwnerOrgIdCcEmail.
`RelOwnerOrgIdName`	`String`	False	RelOwnerOrgIdName.
`RelOwnerOrgIdOwnerId`	`Integer`	False	RelOwnerOrgIdOwnerId.
`RelOwnerOrgIdPeopleCount`	`Integer`	False	RelOwnerOrgIdPeopleCount.
`OrgId`	`Integer`	False	RelOwnerOrgIdValue.
`RelatedOrganizationName`	`String`	False	RelatedOrganizationName.
`Type`	`String`	False	The type of organization relationship. The allowed values are parent, related.
`UpdateTime`	`Datetime`	False	UpdateTime.

Pseudo-Columns

Pseudo column fields are used in the WHERE clause of SELECT statements and offer a more granular control over the tuples that are returned from the data source.

Name	Type	Description
`RelOwnerOrgId`	`Integer`	Real Organization Id.
`RelLinkedOrgId`	`Integer`	Real Organization Id.

Organizations

Get details of organizations

Select

The connector will use the Pipedrive API to process WHERE clause conditions built with the following columns and operators. The rest of the filter is executed client side within the connector.

Id supports the = operator.
FirstChar supports the = operator.
FilterId supports the = operator.
UserId supports the = operator.

For example, the following query is processed server side:

SELECT * FROM Organizations WHERE Id = 14

SELECT * FROM Organizations WHERE FirstChar = 'c'

SELECT * FROM Organizations WHERE FilterId = 1

SELECT * FROM Organizations WHERE UserId = 1

INSERT

Insert can be executed by specifying the Name columns.The columns that are not read-only can be inserted. Following is an example of how to insert into this table.

INSERT INTO Organizations (name) VALUES ('testpankaj')

UPDATE

Update can be executed by specifying the ID in the WHERE Clause. The columns that are not read-only can be Updated. For example:

UPDATE Organizations SET Name = 'test123' WHERE ID = 2495

DELETE

Delete can be executed by specifying the ID in the WHERE Clause. For example:

DELETE FROM Organizations WHERE ID = 15

Columns

Name	Type	ReadOnly	Description
`Id [KEY]`	`Integer`	True	Id
`ActiveFlag`	`Boolean`	True	ActiveFlag
`ActivitiesCount`	`Integer`	True	ActivitiesCount
`AddTime`	`Datetime`	False	Optional creation date time of the organization in UTC. Requires admin user API token. Format: YYYY-MM-DD HH:MM:SS
`Address`	`String`	True	Address
`AdminArealevel1`	`String`	True	AdminArealevel1
`AdminArealevel2`	`String`	True	AdminArealevel2
`Country`	`String`	True	Country
`FormattedAddress`	`String`	True	FormattedAddress
`Locality`	`String`	True	Locality
`PostalCode`	`String`	True	PostalCode
`Route`	`String`	True	Route
`StreetNumber`	`String`	True	StreetNumber
`Sublocality`	`String`	True	Sublocality
`Subpremise`	`String`	True	Subpremise
`CcEmail`	`String`	True	CcEmail
`CustomeField`	`String`	True	CustomeField you will get the result of this column only when criteria filter title is used
`ClosedDealsCount`	`Integer`	True	ClosedDealsCount
`CompanyId`	`Integer`	True	CompanyId
`CountryCode`	`String`	True	CountryCode
`DoneActivitiesCount`	`Integer`	True	DoneActivitiesCount
`EmailMessagesCount`	`Integer`	True	EmailMessagesCount
`FilesCount`	`Integer`	True	FilesCount
`FirstChar`	`String`	True	FirstChar
`FollowersCount`	`Integer`	True	FollowersCount
`Label`	`Integer`	True	Label
`LastActivityDate`	`Date`	True	LastActivityDate
`LastActivityId`	`Integer`	True	LastActivityId
`LostDealsCount`	`Integer`	True	LostDealsCount
`Name`	`String`	False	Name
`NextActivityDate`	`Date`	True	NextActivityDate
`NextActivityId`	`Integer`	True	NextActivityId
`NextActivityTime`	`Time`	True	NextActivityTime
`NotesCount`	`Integer`	True	NotesCount
`OpenDealsCount`	`Integer`	True	OpenDealsCount
`Owneractive_flag`	`Boolean`	True	Owneractive_flag
`OwnerEmail`	`String`	True	OwnerEmail
`OwnerHasPic`	`Integer`	True	OwnerHasPic
`OwnerId`	`Integer`	False	OwnerId
`OwnerName`	`String`	True	OwnerName
`OwnerPicHash`	`String`	True	OwnerPicHash
`OwnerIdValue`	`Integer`	True	OwnerIdValue
`OwnerName`	`String`	True	OwnerName
`PeopleCount`	`Integer`	True	PeopleCount
`PictureActiveFlag`	`Boolean`	True	PictureActiveFlag
`PictureAddTime`	`Datetime`	True	PictureAddTime
`PictureAddedByUserId`	`Integer`	True	PictureAddedByUserId
`PictureItemId`	`Integer`	True	PictureItemId
`PictureItemType`	`String`	True	PictureItemType
`Picture128`	`String`	True	Picture128
`Picture512`	`String`	True	Picture512
`PictureUpdateTime`	`String`	True	PictureUpdateTime
`PictureIid`	`Integer`	True	PictureIid
`RelatedClosedDealsCount`	`Integer`	True	RelatedClosedDealsCount
`RelatedLostDealsCount`	`Integer`	True	RelatedLostDealsCount
`RelatedOpenDealsCount`	`Integer`	True	RelatedOpenDealsCount
`RelatedWonDealsCount`	`Integer`	True	RelatedWonDealsCount
`Type`	`String`	True	Type you will get the result of this column only when criteria filter title is used
`UndoneActivitiesCount`	`Integer`	True	UndoneActivitiesCount
`UpdateTime`	`Datetime`	True	UpdateTime
`VisibleTo`	`Integer`	False	Visibility of the organization The allowed values are 1, 3, 5, 7.
`WonDealsCount`	`Integer`	True	WonDealsCount

Pseudo-Columns

Pseudo column fields are used in the WHERE clause of SELECT statements and offer a more granular control over the tuples that are returned from the data source.

Name	Type	Description
`UserId`	`Integer`	User Id
`FilterId`	`Integer`	Filter Id

OrganizationsFollowers

Get details of organizations followers.

Select

The connector will use the Pipedrive API to process WHERE clause conditions built with the following columns and operators. The rest of the filter is executed client side within the connector.

OrgId supports the = operator.

For example, the following query is processed server side:

SELECT * FROM OrganizationsFollowers WHERE OrgId = 6

INSERT

Insert can be executed by specifying the UserId, OrgId columns.The columns that are not read-only can be inserted. Following is an example of how to insert into this table.

INSERT INTO OrganizationsFollowers (UserId, OrgId) VALUES (8230170, 1)

DELETE

Delete can be executed by specifying the Id, OrgId in the WHERE Clause. For example:

DELETE FROM OrganizationsFollowers WHERE OrgId = 1 AND ID = 1

Columns

Name	Type	ReadOnly	Description
`Id [KEY]`	`Integer`	True	Id.
`AddTime`	`Datetime`	True	AddTime.
`OrgId`	`Integer`	True	OrgId.
`UserId`	`Integer`	False	UserId.

OrganizationsInternal

Get details of organizations.

Columns

Name	Type	ReadOnly	Description
`Id [KEY]`	`Integer`	True	Id.
`ActiveFlag`	`Boolean`	True	ActiveFlag.
`ActivitiesCount`	`Integer`	True	ActivitiesCount.
`AddTime`	`Datetime`	False	Optional creation date time of the organization in UTC. Requires admin user API token. Format: YYYY-MM-DD HH:MM:SS
`Address`	`String`	True	Address.
`AdminArealevel1`	`String`	True	AdminArealevel1.
`AdminArealevel2`	`String`	True	AdminArealevel2.
`Country`	`String`	True	Country.
`FormattedAddress`	`String`	True	FormattedAddress.
`Locality`	`String`	True	Locality.
`PostalCode`	`String`	True	PostalCode.
`Route`	`String`	True	Route.
`StreetNumber`	`String`	True	StreetNumber.
`Sublocality`	`String`	True	Sublocality.
`Subpremise`	`String`	True	Subpremise.
`CcEmail`	`String`	True	CcEmail.
`CustomeField`	`String`	True	CustomeField you will get the result of this column only when criteria filter title is used.
`ClosedDealsCount`	`Integer`	True	ClosedDealsCount.
`CompanyId`	`Integer`	True	CompanyId.
`CountryCode`	`String`	True	CountryCode.
`DoneActivitiesCount`	`Integer`	True	DoneActivitiesCount.
`EmailMessagesCount`	`Integer`	True	EmailMessagesCount.
`FilesCount`	`Integer`	True	FilesCount.
`FirstChar`	`String`	True	FirstChar.
`FollowersCount`	`Integer`	True	FollowersCount.
`Label`	`Integer`	True	Label.
`LastActivityDate`	`Date`	True	LastActivityDate.
`LastActivityId`	`Integer`	True	LastActivityId.
`LostDealsCount`	`Integer`	True	LostDealsCount.
`Name`	`String`	False	Name.
`NextActivityDate`	`Date`	True	NextActivityDate.
`NextActivityId`	`Integer`	True	NextActivityId.
`NextActivityTime`	`Time`	True	NextActivityTime.
`NotesCount`	`Integer`	True	NotesCount.
`OpenDealsCount`	`Integer`	True	OpenDealsCount.
`OwneractiveFlag`	`Boolean`	True	Owneractive_flag.
`OwnerEmail`	`String`	True	OwnerEmail.
`OwnerHasPic`	`Boolean`	True	OwnerHasPic.
`OwnerId`	`Integer`	False	OwnerId.
`OwnerName`	`String`	True	OwnerName.
`OwnerPicHash`	`String`	True	OwnerPicHash.
`OwnerIdValue`	`Integer`	True	OwnerIdValue.
`PeopleCount`	`Integer`	True	PeopleCount.
`PictureActiveFlag`	`Boolean`	True	PictureActiveFlag.
`PictureAddTime`	`Datetime`	True	PictureAddTime.
`PictureAddedByUserId`	`Integer`	True	PictureAddedByUserId.
`PictureItemId`	`Integer`	True	PictureItemId.
`PictureItemType`	`String`	True	PictureItemType.
`Picture128`	`String`	True	Picture128.
`Picture512`	`String`	True	Picture512.
`PictureUpdateTime`	`String`	True	PictureUpdateTime.
`PictureId`	`Integer`	True	PictureIid.
`RelatedClosedDealsCount`	`Integer`	True	RelatedClosedDealsCount.
`RelatedLostDealsCount`	`Integer`	True	RelatedLostDealsCount.
`RelatedOpenDealsCount`	`Integer`	True	RelatedOpenDealsCount.
`RelatedWonDealsCount`	`Integer`	True	RelatedWonDealsCount.
`Type`	`String`	True	Type you will get the result of this column only when criteria filter title is used.
`UndoneActivitiesCount`	`Integer`	True	UndoneActivitiesCount.
`UpdateTime`	`Datetime`	True	UpdateTime.
`VisibleTo`	`Integer`	False	Visibility of the organization. The allowed values are 1, 3, 5, 7.
`WonDealsCount`	`Integer`	True	WonDealsCount.

Pseudo-Columns

Pseudo column fields are used in the WHERE clause of SELECT statements and offer a more granular control over the tuples that are returned from the data source.

Name	Type	Description
`UserId`	`Integer`	User Id.
`FilterId`	`Integer`	Filter Id.

PersonFields

Returns data about all person fields.

Select

The connector will use the Pipedrive API to process WHERE clause conditions built with the following columns and operators. The rest of the filter is executed client side within the connector.

Id supports the = operator.

For example, the following query is processed server side:

SELECT * FROM PersonFields WHERE ID = 9039

INSERT

Insert can be executed by specifying the Name and FieldType columns. The columns that are not required can be inserted optionally. For example:

INSERT INTO PersonFields (Name, AddVisibleFlag, FieldType) VALUES ('NameCdataIndia', 'true', 'address')

UPDATE

Update can be executed by specifying the ID in the WHERE Clause. The columns that are not read-only can be Updated. For example:

UPDATE PersonFields SET Name = 'My name just started here' WHERE ID = '9062'

DELETE

Delete can be executed by specifying the ID in the WHERE Clause. For example:

DELETE FROM PersonFields WHERE ID = 9040

Columns

Name	Type	ReadOnly	Description
`Id [KEY]`	`Integer`	True	ID of the field.
`ActiveFlag`	`Boolean`	True	ActiveFlag.
`AddTime`	`Datetime`	True	AddTime.
`AddVisibleFlag`	`Boolean`	False	Whether the field is available in 'add new' modal or not (both in web and mobile app). The default value is true.
`BulkEditAllowed`	`Boolean`	True	BulkEditAllowed.
`DetailsVisibleFlag`	`Boolean`	True	DetailsVisibleFlag.
`EditFlag`	`Boolean`	True	EditFlag.
`FieldType`	`String`	False	Type of the field. The allowed values are address, date, daterange, double, enum, monetary, org, people, phone, set, text, time, timerange, user, varchar, varchar_auto, visible_to.
`FilteringAllowed`	`Boolean`	True	FilteringAllowed.
`ImportantFlag`	`Boolean`	True	ImportantFlag.
`IndexVisibleFlag`	`Boolean`	True	IndexVisibleFlag.
`Key`	`String`	True	Key.
`LastUpdatedByUserId`	`String`	True	LastUpdatedByUserId.
`MandatoryFlag`	`Boolean`	True	MandatoryFlag.
`Name`	`String`	False	Name of the field.
`Options`	`String`	False	Options.
`OrderNr`	`Integer`	True	OrderNr.
`SearchableFlag`	`Boolean`	True	SearchableFlag.
`SortableFlag`	`Boolean`	True	SortableFlag.
`UpdateTime`	`Datetime`	True	UpdateTime.

PersonFollowers

Get details of persons followers.

Columns

Name	Type	ReadOnly	Description
`Id [KEY]`	`Integer`	True	Followers id.
`AddTime`	`Datetime`	True	Add time.
`PersonId`	`Integer`	True	Person id.
`UserId`	`Integer`	False	User id.
`DealId`	`Integer`	True	Deal id.

Persons

Get all details of persons.

Select

The connector will use the Pipedrive API to process WHERE clause conditions built with the following columns and operators. The rest of the filter is executed client side within the connector.

Id supports the = operator.
FirstChar supports the LIKE operator.
FilterId supports the = operator.
UserId supports the = operator.

For example, the following query is processed server side:

SELECT * FROM Persons WHERE Id = 14

SELECT * FROM Persons WHERE FirstChar = 'c'

SELECT * FROM Persons WHERE FilterId = 1

SELECT * FROM Persons WHERE UserId = 1

INSERT

Insert can be executed by specifying the Name columns.The columns that are not read-only can be inserted. Following is an example of how to insert into this table.

INSERT INTO Persons (name) VALUES ('testpankaj')

UPDATE

Update can be executed by specifying the ID in the WHERE Clause. The columns that are not read-only can be Updated. For example:

UPDATE Persons SET Name = 'test123' WHERE ID = 2495

DELETE

Delete can be executed by specifying the ID in the WHERE Clause. For example:

DELETE FROM Persons WHERE ID = 15

Columns

Name	Type	ReadOnly	Description
`Id [KEY]`	`Integer`	True	Id.
`ActiveFlag`	`Boolean`	False	ActiveFlag.
`ActivitiesCount`	`Integer`	True	ActivitiesCount.
`AddTime`	`Datetime`	False	Optional creation date time of the person Requires admin user API token. Format: YYYY-MM-DD HH:MM:SS
`CcEmail`	`String`	True	CcEmail.
`ClosedDealsCount`	`Integer`	True	ClosedDealsCount.
`CompanyId`	`Integer`	True	CompanyId.
`CustomeField`	`String`	True	CustomeField you will get the result of this column only when criteria filter title is used.
`DoneActivitiesCount`	`Integer`	True	DoneActivitiesCount.
`Email`	`String`	False	Email.
`EmailMessagesCount`	`Integer`	True	EmailMessagesCount.
`FilesCount`	`Integer`	True	FilesCount.
`FirstChar`	`String`	True	If supplied, only persons whose name starts with the specified letter will be returned.
`FirstName`	`String`	True	FirstName.
`FollowersCount`	`Integer`	True	FollowersCount.
`Label`	`Integer`	True	Label.
`LastActivityDate`	`Date`	True	LastActivityDate.
`LastActivityId`	`Integer`	True	LastActivityId.
`LastIncomingMailTime`	`Datetime`	True	LastIncomingMailTime.
`LastName`	`String`	True	LastName.
`LastOutgoingMailTime`	`Datetime`	True	LastOutgoingMailTime.
`LostDealsCount`	`Integer`	True	LostDealsCount.
`Name`	`String`	False	Name.
`NextActivityDate`	`Date`	True	NextActivityDate.
`NextActivityId`	`Integer`	True	NextActivityId.
`NextActivityTime`	`Time`	True	NextActivityTime.
`Notes`	`String`	True	Notes.
`NotesCount`	`Integer`	True	NotesCount.
`OpenDealsCount`	`Integer`	True	OpenDealsCount.
`OrgActiveFlag`	`Boolean`	True	OrgActiveFlag.
`OrgAddress`	`String`	True	OrgAddress.
`OrgccEmail`	`String`	True	OrgccEmail.
`OrgName`	`String`	True	OrgName.
`OrgownerId`	`Integer`	True	OrgownerId.
`OrgpeopleCount`	`Integer`	True	OrgpeopleCount.
`Orgvalue`	`Integer`	False	Orgvalue.
`OwnerActiveFlag`	`Boolean`	True	OwnerActiveFlag.
`OwnerEmail`	`String`	True	OwnerEmail.
`OwnerHasPic`	`Integer`	True	OwnerHasPic.
`OwnerId`	`Integer`	False	OwnerId.
`OwnerIdName`	`String`	True	OwnerName.
`OwnerPicHash`	`String`	True	OwnerPicHash.
`OwnerValue`	`Integer`	True	OwnerValue.
`ParticipantClosedDealscount`	`Integer`	True	ParticipantClosedDealscount.
`ParticipantOpenDealsCount`	`Integer`	True	ParticipantOpenDealsCount.
`Phone`	`String`	False	Phone.
`PictureActiveFlag`	`Boolean`	True	PictureActiveFlag.
`PictureAddTime`	`Datetime`	True	PictureAddTime.
`PictureAddedByUserId`	`Integer`	True	PictureAddedByUserId.
`PictureItemId`	`Integer`	True	PictureItemId.
`PictureItemType`	`String`	True	PictureItemType.
`Picture128`	`String`	True	Picture128.
`Picture512`	`String`	True	Picture512.
`PictureUpdateTime`	`String`	True	PictureUpdateTime.
`Picturevalue`	`Integer`	True	Picturevalue.
`RelatedClosedDealsCount`	`Integer`	True	RelatedClosedDealsCount.
`RelatedLostDealsCount`	`Integer`	True	RelatedLostDealsCount.
`RelatedOpenDealsCount`	`Integer`	True	RelatedOpenDealsCount.
`RelatedWonDealsCount`	`Integer`	True	RelatedWonDealsCount.
`UndoneActivitiesCount`	`Integer`	True	UndoneActivitiesCount.
`UpdateTime`	`Datetime`	True	UpdateTime.
`VisibleTo`	`String`	False	Visibility of the person. The allowed values are 1, 3.
`WonDealsCount`	`Integer`	True	WonDealsCount.
`PrimaryEmail`	`String`	True	Primary Email.
`MarketingStatus`	`String`	True	Marketing Status.
`OwnerName`	`String`	True	Owner Name.

Pseudo-Columns

Pseudo column fields are used in the WHERE clause of SELECT statements and offer a more granular control over the tuples that are returned from the data source.

Name	Type	Description
`FilterId`	`Integer`	Filter Id.
`UserId`	`Integer`	User Id.

Pipelines

Get all Pipelines.

Select

The connector will use the Pipedrive API to process WHERE clause conditions built with the following columns and operators. The rest of the filter is executed client side within the connector.

Id supports the = operator.

For example, the following query is processed server side:

SELECT * FROM Pipelines WHERE ID = 4

INSERT

Insert can be executed by specifying the Name, Active, DealProbability, OrderNr and UrlTitle columns. The columns that are not required can be inserted optionally. For example:

INSERT INTO PipeLines (Name, Active, DealProbability, OrderNr, UrlTitle) VALUES ('Indias PipeLines for Pipedrive', 'true', '0', 1, 'indiapipedrivepipeline@com')

UPDATE

Update can be executed by specifying the ID in the WHERE Clause. The columns that are not read-only can be Updated. For example:

UPDATE PipeLines SET Name = 'Updating Pipedrive Pipelines1' WHERE ID = 4

DELETE

Delete can be executed by specifying the ID in the WHERE Clause. For example:

DELETE FROM PipeLines WHERE ID = 5

Columns

Name	Type	ReadOnly	Description
`Id [KEY]`	`Integer`	True	ID of the pipeline.
`Name`	`String`	False	The name of the Pipeline.
`Active`	`Boolean`	False	Whether this Pipeline will be made inactive (hidden) or active.
`DealProbability`	`Integer`	False	Whether Deal probability is disabled or enabled for this Pipeline. The allowed values are 0, 1.
`OrderNr`	`Integer`	False	Defines the order of Pipelines. The default value is 0.
`Selected`	`Boolean`	True	Selected.
`UpdateTime`	`Datetime`	True	UpdateTime.
`AddTime`	`Datetime`	True	AddTime.
`UrlTitle`	`String`	False	UrlTitle.

ProductFields

Returns data about all product fields.

Select

The connector will use the Pipedrive API to process WHERE clause conditions built with the following columns and operators. The rest of the filter is executed client side within the connector.

Id supports the = operator.

For example, the following query is processed server side:

SELECT * FROM ProductFields WHERE ID = 28

INSERT

Insert can be executed by specifying the Name and FieldType columns. The columns that are not required can be inserted optionally. For example:

INSERT INTO ProductFields (Name, FieldType) VALUES ('BangaloreCdataIndia123', 'address')

UPDATE

Update can be executed by specifying the ID in the WHERE Clause. The columns that are not read-only can be Updated. For example:

UPDATE ProductFields SET Name = 'My name just started here' WHERE ID = 28

DELETE

Delete can be executed by specifying the ID in the WHERE Clause. For example:

DELETE FROM ProductFields WHERE ID = 9040

Columns

Name	Type	ReadOnly	Description
`Id [KEY]`	`Integer`	True	ID of the Product Field.
`ActiveFlag`	`Boolean`	True	ActiveFlag.
`AddTime`	`Datetime`	True	AddTime.
`AddVisibleFlag`	`Boolean`	True	AddVisibleFlag.
`BulkEditAllowed`	`Boolean`	True	BulkEditAllowed.
`DetailsVisibleFlag`	`Boolean`	True	DetailsVisibleFlag.
`EditFlag`	`Boolean`	True	EditFlag.
`FieldType`	`String`	False	Type of the field. The allowed values are address, date, daterange, double, enum, monetary, org, people, phone, set, text, time, timerange, user, varchar, varchar_auto, visible_to.
`FilteringAllowed`	`Boolean`	True	FilteringAllowed.
`ImportantFlag`	`Boolean`	True	ImportantFlag.
`IndexVisibleFlag`	`Boolean`	True	IndexVisibleFlag.
`Key`	`String`	True	Key.
`LastUpdatedByUserId`	`String`	True	LastUpdatedByUserId.
`MandatoryFlag`	`Boolean`	True	MandatoryFlag.
`Name`	`String`	False	Name of the field.
`Options`	`String`	False	Options.
`OrderNr`	`Integer`	True	OrderNr.
`PicklistData`	`String`	True	PicklistData.
`SearchableFlag`	`Boolean`	True	SearchableFlag.
`SortableFlag`	`Boolean`	True	SortableFlag.
`UpdateTime`	`Datetime`	True	UpdateTime.

Products

Get details of Products

Select

The connector will use the Pipedrive API to process WHERE clause conditions built with the following columns and operators. The rest of the filter is executed client side within the connector.

Id supports the = operator.
FirstChar supports the = operator.
FilterId supports the = operator.
UserId supports the = operator.
GetSummary supports the = operator.
Ids supports the '=,IN' operators.

For example, the following query is processed server side:

SELECT * FROM Products WHERE Id = 14

SELECT * FROM Products WHERE FirstChar = 'c'

SELECT * FROM Products WHERE FilterId = 1

SELECT * FROM Products WHERE UserId = 1

SELECT * FROM Products WHERE GetSummary = 1

SELECT * FROM Products WHERE Ids IN (1, 2)

INSERT

Insert can be executed by specifying the Name columns.The columns that are not read-only can be inserted. Following is an example of how to insert into this table.

INSERT INTO Products (name) VALUES ('tests')

UPDATE

Update can be executed by specifying the ID in the WHERE Clause. The columns that are not read-only can be Updated. For example:

UPDATE Products SET Name = 'test123' WHERE ID = 2495

DELETE

Delete can be executed by specifying the ID in the WHERE Clause. For example:

DELETE FROM Products WHERE ID = 15

Columns

Name	Type	ReadOnly	Description
`Id`	`Integer`	True	product Id
`ActiveFlag`	`Boolean`	True	Whether this product will be made active or not The allowed values are 0, 1. The default value is 1.
`AddTime`	`Datetime`	True	Add Time
`Category`	`String`	True	category
`Code`	`String`	False	Product code.
`CustomeField`	`String`	True	CustomeField you will get the result of this column only when criteria filter title is used
`Description`	`String`	True	description
`FilesCount`	`String`	True	FilesCount
`FirstChar`	`String`	True	If supplied only Products whose name starts with the specified letter will be returned
`Name`	`String`	False	Name of the product
`OwnerActiveFlag`	`Boolean`	True	OwnerActiveFlag
`OwnerEmail`	`String`	True	OwnerEmail
`OwnerHasPic`	`Boolean`	True	OwnerHasPic
`OwnerId`	`Integer`	False	ID of the user who will be marked as the owner of this product
`OwnerName`	`String`	True	OwnerName
`OwnerPicHash`	`String`	True	OwnerPicHas
`Ownervalue`	`Integer`	True	Owner Id
`Prices`	`String`	False	Object containing price objects
`Selectable`	`Boolean`	False	Whether this product can be selected in Deals or not The allowed values are 0, 1. The default value is 1.
`Tax`	`Integer`	False	Tax percentage The default value is 0.
`Type`	`String`	True	Type you will get the result of this column only when criteria filter title is used
`Unit`	`String`	False	Unit in which this product is sold
`UpdateTime`	`Datetime`	True	Update Time
`VisibleTo`	`String`	False	Visibility of the product The allowed values are 1, 3, 5, 7.
`SummaryTotalCount`	`String`	True	You will get data of this column when Criterial filter is GetSummary is used

Pseudo-Columns

Pseudo column fields are used in the WHERE clause of SELECT statements and offer a more granular control over the tuples that are returned from the data source.

Name	Type	Description
`UserId`	`Integer`	User Id
`FilterId`	`Integer`	Filter Id
`GetSummary`	`Boolean`	Get SUmmary
`Ids`	`Integer`	The Ids of the Products that should be returned in the response

ProductsFollowers

Get details of products followers.

Select

The connector will use the Pipedrive API to process WHERE clause conditions built with the following columns and operators. The rest of the filter is executed client side within the connector.

ProductId supports the = operator.

For example, the following query is processed server side:

SELECT * FROM ProductsFollowers WHERE ProductId = 6

INSERT

Insert can be executed by specifying the UserId, ProductId columns.The columns that are not read-only can be inserted. Following is an example of how to insert into this table.

INSERT INTO ProductsFollowers (UserId, ProductId) VALUES (8230170, 1)

DELETE

Delete can be executed by specifying the Id, ProductId in the WHERE Clause. For example:

DELETE FROM ProductsFollowers WHERE ProductId = 1 AND ID = 1

Columns

Name	Type	ReadOnly	Description
`Id`	`Integer`	True	Id.
`AddTime`	`Datetime`	True	AddTime.
`ProductId`	`Integer`	True	ProductId.
`UserId`	`Integer`	False	UserId.

Roles

Returns all the role.

Select

The connector will use the Pipedrive API to process WHERE clause conditions built with the following columns and operators. The rest of the filter is executed client side within the connector.

Id supports the = operator.

For example, the following query is processed server side:

SELECT * FROM Roles

SELECT * FROM Roles WHERE ID = 2

INSERT

Insert can be executed by specifying the Name and ParentRoleId columns. The columns that are not required can be inserted optionally. For example:

INSERT INTO Roles (Name, ParentRoleId) VALUES ('BangaloreCdataIndia123', '2')

UPDATE

Update can be executed by specifying the ID in the WHERE Clause. The columns that are not read-only can be Updated. For example:

UPDATE Roles SET Name = 'My name just started here' WHERE ID = 1

DELETE

Delete can be executed by specifying the ID in the WHERE Clause. For example:

DELETE FROM Roles WHERE ID = 1

Columns

Name	Type	ReadOnly	Description
`Id [KEY]`	`Integer`	True	ID of the role.
`ActiveFlag`	`Boolean`	True	ActiveFlag.
`AssignmentCount`	`String`	True	AssignmentCount.
`Level`	`Integer`	True	Level.
`Name`	`String`	False	The name of the Role.
`ParentRoleId`	`Integer`	False	The ID of the parent Role.
`SubRoleCount`	`String`	True	SubRoleCount.

RolesAssignments

List assignments for a role.

Select

The connector will use the Pipedrive API to process WHERE clause conditions built with the following columns and operators. The rest of the filter is executed client side within the connector.

Id supports the = operator.

For example, the following query is processed server side:

SELECT * FROM RolesAssignments

SELECT * FROM RolesAssignments WHERE ID = 1

INSERT

Insert can be executed by specifying the ID and UserId columns. The columns that are not required can be inserted optionally. For example:

INSERT INTO RoleAssignments (Id, UserId, RoleId) VALUES (1, 'NameCdataIndia', '1')

DELETE

Delete can be executed by specifying the ID and UserId WHERE Clause. For example:

DELETE FROM RolesAssignments WHERE ID = 1 AND UserId = 1

Columns

Name	Type	ReadOnly	Description
`RoleId`	`Integer`	False	RoleId.
`ActiveFlag`	`Boolean`	True	ActiveFlag.
`Name`	`String`	True	Name.
`ParentRoleId`	`String`	True	ParentRoleId.
`Type`	`String`	True	Type.
`UserId`	`Integer`	False	ID of the user.

RolesSetting

Returns all the roles settings.

Select

The connector will use the Pipedrive API to process WHERE clause conditions built with the following columns and operators. The rest of the filter is executed client side within the connector.

RoleId supports the = operator.

For example, the following query is processed server side:

SELECT * FROM RolesSetting

SELECT * FROM RolesSetting WHERE RoleId = 1

INSERT

Insert can be executed by specifying the Name and FieldType columns. The columns that are not required can be inserted optionally. For example:

INSERT INTO RolesSetting (RoleId, SettingKey, Value) VALUES (1, 'deal_default_visibility', '1')

UPDATE

Update can be executed by specifying the RoleId in the WHERE Clause and SettingKey and Value in Body Parameter. The columns that are not read-only can be Updated. For example:

UPDATE RolesSetting SET Value = '3', SettingKey = 'deal_default_visibility' WHERE RoleId = 1

Columns

Name	Type	ReadOnly	Description
`RoleId [KEY]`	`Integer`	True	Role Id.
`DealDefaultVisibility`	`Integer`	True	DealDefaultVisibility.
`LeadDefaultVisibility`	`Integer`	True	LeadDefaultVisibility.
`OrgDefaultVisibility`	`Integer`	True	OrgDefaultVisibility.
`PersonDefaultVisibility`	`Integer`	True	PersonDefaultVisibility.
`ProductDefaultVisibility`	`Integer`	True	ProductDefaultVisibility.

Pseudo-Columns

Pseudo column fields are used in the WHERE clause of SELECT statements and offer a more granular control over the tuples that are returned from the data source.

Name	Type	Description
`Value`	`String`	Possible values for the default_visibility setting depending on the subscription plan. The allowed values are 1, 3, 5, 7.
`SettingKey`	`String`	SettingKey. The allowed values are deal_default_visibility, lead_default_visibility, org_default_visibility, person_default_visibility, product_default_visibility.

Stages

Returns data about all stages.

Select

The connector will use the Pipedrive API to process WHERE clause conditions built with the following columns and operators. The rest of the filter is executed client side within the connector.

Id supports the = operator.
PipelineId supports the = operator.

For example, the following query is processed server side:

SELECT * FROM Stages WHERE ID = 7

INSERT

Insert can be executed by specifying the Name, PipelineId, DealProbability and RottenFlag columns. The columns that are not required can be inserted optionally. For example:

INSERT INTO Stages (Name, PipelineId, DealProbability, RottenFlag) VALUES ('BangaloreCdataIndia123', '1', '1', '0')

UPDATE

Update can be executed by specifying the ID in the WHERE Clause. The columns that are not read-only can be Updated. For example:

UPDATE Stages SET Name = 'My name just started here' WHERE ID = 7

DELETE

Delete can be executed by specifying the ID in the WHERE Clause. For example:

DELETE FROM Stages WHERE ID = 8

Columns

Name	Type	ReadOnly	Description
`Id [KEY]`	`Integer`	True	ID of the stage.
`ActiveFlag`	`Boolean`	True	ActiveFlag.
`AddTime`	`Datetime`	True	AddTime.
`DealProbability`	`Integer`	False	Deal success probability percentage.
`Name`	`String`	False	Name of the Stage.
`OrderNr`	`Integer`	False	An order number for this stage.
`PipelineDealProbability`	`Integer`	True	PipelineDealProbability.
`PipelineId`	`Integer`	False	The ID of the Pipeline to add Stage to.
`PipelineName`	`String`	True	PipelineName.
`RottenDays`	`String`	False	The number of days the Deals not updated in this Stage would become rotten. Applies only if the rotten_flag is set.
`RottenFlag`	`Boolean`	False	Whether Deals in this stage can become rotten. The allowed values are 0, 1.
`UpdateTime`	`Datetime`	True	UpdateTime.

Subscriptions

Returns details of an installment or a recurring Subscription

Columns

Name	Type	ReadOnly	Description
`Id [KEY]`	`Integer`	True	ID of the Subscription.
`AddTime`	`Datetime`	True	AddTime.
`CadenceType`	`String`	False	Interval between payments. The allowed values are weekly, monthly, quarterly, yearly.
`Currency`	`String`	False	The currency of the Installment Subscription. Accepts a 3-character currency code.
`CycleAmount`	`Double`	False	Amount of each payment.
`CyclesCount`	`Integer`	False	Shows how many payments the Subscription has.
`DealId`	`Integer`	False	ID of the Deal this Installment Subscription is associated with.
`Description`	`String`	False	Description of the Recurring Subscription.
`EndDate`	`String`	False	EndDate.
`FinalStatus`	`String`	True	FinalStatus.
`Infinite`	`Boolean`	False	This indicates that the Recurring Subscription will last until it's manually canceled or deleted.
`IsActive`	`Boolean`	True	IsActive.
`LifetimeValue`	`Double`	True	LifetimeValue.
`StartDate`	`String`	False	Start date of the Recurring Subscription. Format: YYYY-MM-DD
`UpdateTime`	`Datetime`	False	UpdateTime.
`UserId`	`Integer`	True	UserId.
`SubscriptionType`	`String`	True	SubscriptionType. The allowed values are recurring, installment. The default value is recurring.

Pseudo-Columns

Pseudo column fields are used in the WHERE clause of SELECT statements and offer a more granular control over the tuples that are returned from the data source.

Name	Type	Description
`Payments`	`String`	Array of payments.
`EffectiveDate`	`Date`	Array of payments.
`UpdateDealValue`	`Boolean`	Indicates that the Deal value must be set to Recurring Subscription's MRR value.

Users

Returns data about all users within the company

Select

The connector will use the Pipedrive API to process WHERE clause conditions built with the following columns and operators. The rest of the filter is executed client side within the connector.

Id supports the = operator.
SearchByEmail supports the = operator.

For example, the following query is processed server side:

SELECT * FROM Users WHERE ID = 13816635

INSERT

Insert can be executed by specifying the Name, Email and ActiveFlag columns. The columns that are not required can be inserted optionally. For example:

INSERT INTO Users (Name, Email, ActiveFlag) VALUES ('CdataIndiaEngineering', 'India@cdata.com', 'true')

UPDATE

Update can be executed by specifying the ID in the WHERE Clause. The columns that are not read-only can be Updated. For example:

UPDATE Users SET ActiveFlag = 'false' WHERE ID = 13944807

Columns

Name	Type	ReadOnly	Description
`Id [KEY]`	`Integer`	True	ID of the user.
`Activated`	`Boolean`	False	Activated.
`ActiveFlag`	`Boolean`	False	Whether the user is active or not. The default value is true.
`Created`	`Datetime`	False	Created.
`DefaultCurrency`	`String`	False	DefaultCurrency.
`Email`	`String`	False	Email of the user.
`Hascreatedcompany`	`Boolean`	False	Hascreatedcompany.
`IconUrl`	`String`	False	IconUrl.
`IsAdmin`	`Integer`	False	IsAdmin.
`IsYou`	`Boolean`	False	IsYou.
`Lang`	`Integer`	False	Lang.
`LastLogin`	`Datetime`	False	LastLogin.
`Locale`	`String`	False	Locale.
`Modified`	`Datetime`	False	Modified.
`Name`	`String`	False	Name of the user.
`Phone`	`String`	False	Phone.
`RoleId`	`Integer`	False	ID of the role.
`TimezoneName`	`String`	False	TimezoneName.
`TimezoneOffset`	`String`	False	TimezoneOffset.
`Access`	`String`	False	The access given to the user.

Views

Views are similar to tables in the way that data is represented; however, views are read-only.

Queries can be executed against a view as if it were a normal table.

Pipedrive Connector Views

Name	Description
`ActivitiesAttendees`	Get all Activities attendees assigned to a particular User
`ActivitiesParticipants`	Getdetails of activities participants
`ActivityFields`	Returns all activity fields.
`ActivityFieldsOptions`	Returns all activity fields.
`Currencies`	Returns all supported currencies in given account which should be used when saving monetary values with other objects.
`CurrentUsers`	Returns data about an authorized user within the company with bound company data: company ID, company name, and domain.
`DealFieldsOptions`	Returns data about all deal fields.
`DealsActivities`	Get all Deals Activities assigned to a particular User.
`DealsActivitiesAttendees`	Get Details of Deals Activities Attendees.
`DealsActivitiesParticipants`	Getdetails of activities participants.
`DealsFiles`	Get details of deals file.
`DealsMailMessages`	Get details of Deal mail Messages.
`DealsMailMessagesBcc`	Get details of Deal mail Messages.
`DealsMailMessagesCc`	Get details of Deal mail Messages.
`DealsMailMessagesFrom`	Get details of Deal mail Messages.
`DealsMailMessagesTo`	Get details of Deal mail Messages.
`DealsParticipantsEmail`	Get details of deals participants Person Email.
`DealsParticipantsPersonEmail`	Get details of deals participants Person Email.
`DealsParticipantsPersonPhone`	Get details of deals participants Person Phone.
`DealsParticipantsPhone`	Get details of deals participants Person Email.
`DealsPermittedUsers`	Get details of deals Permitted users
`DealsPersonEmails`	Get all emails asscociated with persons in deal
`DealsPersonPhone`	Get all phone asscociated with persons in deal.
`DealsPersons`	Get details of deals persons.
`DealsPersonsEmail`	Get details of deals participants Person Email.
`DealsPersonsPhone`	Get details of deals participants Person Email.
`DealsSummary`	Return detils of deals summary.
`DealsTimeline`	Usage information for the operation DealsTimeline.rsd.
`DealsTimelineDeals`	Return details of DealsTimeline deals.
`DealsUpdates`	Get details of deals updates.
`DealsUpdatesAttachments`	Get details of deals Updates Attachments.
`DealsUpdatesAttendees`	Get Details of Deals Activities Attendees.
`DealsUpdatesBcc`	Get details of Deal updates Bcc.
`DealsUpdatesCc`	Get details of Deals Updates cc.
`DealsUpdatesFrom`	Get details of Deals Updates From.
`DealsUpdatesParticipants`	Get details of deals updates participants.
`DealsUpdatesTo`	Get details of Deals Updates to.
`FilterHelpers`	Returns all supported filter helpers.
`FindUsersByName`	Finds users by their name.
`LeadSources`	Returns all Lead Sources.
`MailMessages`	Returns data about a specific mail message.
`MailThreadMessages`	Returns all the mail messages inside a specified mail thread..
`MailThreadMessagesFrom`	Returns all the mail messages inside a specified mail thread.
`MailThreadMessagesTo`	Returns all the mail messages inside a specified mail thread.
`MailThreadsFrom`	Get details of the user who sent the mail.
`MailThreadsTo`	Get details of the user to whom sent the mail.
`NoteFields`	Returns data about all note fields.
`NoteFieldsOptions`	Returns data about all note fields options.
`OrganizationFieldsOptions`	Returns data about all organization fields options.
`OrganizationsActivities`	Get details of organizations activities.
`OrganizationsActivitiesAttendees`	Get details of organizations activities attendees.
`OrganizationsActivitiesParticipants`	Get details of organizations activities participants.
`OrganizationsDeals`	Get details of organization deals.
`OrganizationsDealsPersonEmail`	get details of deals person email.
`OrganizationsDealsPersonphone`	get details of deals person phone.
`OrganizationsFiles`	Get details of deals file.
`OrganizationsMailMessages`	Get details of organizations mail Messages.
`OrganizationsMailMessagesBcc`	Get details of organizations mail Messages.
`OrganizationsMailMessagesCc`	Get details of organizations mail Messages.
`OrganizationsMailMessagesFrom`	Get details of organizations mail Messages.
`OrganizationsMailMessagesTo`	Get details of organizations mail Messages.
`OrganizationsPermittedUsers`	Get details of permitted users of organizations.
`OrganizationsPersons`	Get details of organizations persons
`OrganizationsPersonsEmail`	Get details of organizations persons email
`OrganizationsPersonsPhone`	Get details of organizations persons phone
`OrganizationsUpdates`	Get details of organizations updates..
`OrganizationsUpdatesAttendees`	Get details of all attendees of organizations.
`OrganizationsUpdatesParticipants`	Getdetails of activities participants.
`PermissionSets`	Get all permissions.
`PermissionSetsAssignments`	.
`PersonFieldsOptions`	Returns data about all person fields options.
`PersonsActivities`	Get all Persons Activities assigned to a particular Persons.
`PersonsActivitiesAttendees`	Get Details of Persons Activities Attendees.
`PersonsActivitiesParticipants`	Get details of Persons activities participants.
`PersonsDeals`	Get details of Persons deals.
`PersonsDealsEmail`	Get details of Persons deals email.
`PersonsDealsPhone`	Get details of Persons deals phone.
`PersonsEmails`	Get all emails asscociated with persons.
`PersonsFiles`	Get details of Persons file.
`PersonsMailMessages`	Get details of organizations mail Messages.
`PersonsMailMessagesBcc`	Get details of Persons mail Messages.
`PersonsMailMessagesCc`	Get details of persons mail Messages.
`PersonsMailMessagesFrom`	Get details of persons mail Messages.
`PersonsMailMessagesTo`	Get details of Persons mail Messages.
`PersonsPermittedUsers`	Get details of permitted users of persons.
`PersonsPhone`	Get all phone asscociated with persons.
`PersonsProducts`	Get details of Persons Products.
`PersonsUpdates`	Get details of persons updates.
`PersonsUpdatesAttendees`	Get details of Deals Activities Attendees.
`PersonsUpdatesParticipants`	Get details of activities participants
`PipelineDeals`	Lists deals in a specific pipeline across all its stages.
`PipelineDealsConversionRates`	Returns statistics for deals movements for given time period.
`PipelineDealsMovements`	Returns statistics for deals movements for given time period.
`PipelineDealsMovementsAverageAgeInDaysByStages`	Returns statistics for deals movements for given time period average age in days.
`PipelineDealsStageConversions`	Returns statistics for deals movements for given time period
`ProductFieldsOptions`	Returns data about all product fields options.
`ProductsDeals`	Get details of Products Deals.
`ProductsDealsPersonEmail`	Get details of Products Deals person email.
`ProductsDealsPersonphone`	Get details of deals person phone.
`ProductsFiles`	Get details of Persons file.
`ProductsPermittedUsers`	Get details of users permitted to access a Product.
`ProductsPrices`	Get details of Products Prices.
`Recents`	Returns data about all recent changes occurred after given timestamp.
`RecentsAttendees`	Returns data about all recent changes occurred after given timestamp attendees.
`RecentsParticipants`	Returns data about all recent changes occurred after given timestamp participants.
`RolesPipelinesVisibility`	Get the list of either visible or hidden pipeline IDs for a specific role.
`StagesDeals`	Get deals in a specific stage.
`SubscriptionPayments`	Returns all payments of an installment or recurring subscription.
`UserConnection`	The data of user connections.
`UsersAccess`	Returns data about all users within the company access.
`UserSettings`	List settings of an authorized user.
`UsersFollowers`	Lists the followers of a specific user.
`UsersPermissions`	Lists the followers of a specific user.
`UsersRoleAssignments`	Lists role assignments for a user.
`UsersRoleSettings`	Lists the settings of user assigned role.

ActivitiesAttendees

Get all Activities attendees assigned to a particular User

Select

The connector will use the Pipedrive API to process WHERE clause conditions built with the following columns and operators. The rest of the filter is executed client side within the connector.

ActivitiesId supports the = operator.
Done supports the = operator.
Type supports the '=, IN' operators.
UserId supports the = operator.
FilterId supports the = operator.
StartDate supports the = operator.
EndDate supports the = operator.

For example, the following query is processed server side:

SELECT * FROM ActivitiesAttendees WHERE ActivitiesId = 246

SELECT * FROM ActivitiesAttendees WHERE Done = 0

SELECT * FROM ActivitiesAttendees WHERE Type IN ('deadline', 'call')

SELECT * FROM ActivitiesAttendees WHERE EndDate = '2021-12-24'

SELECT * FROM ActivitiesAttendees WHERE UserId = 8230170

Columns

Name	Type	Description
`ActivitiesId [KEY]`	`Integer`	Activities ID.
`EmailAddress`	`String`	EmailAddress.
`IsOrganizer`	`Integer`	IsOrganizer.
`Name`	`String`	Name.
`PersonId`	`Integer`	PersonId.
`Status`	`String`	Status.
`UserId`	`String`	UserId.

Pseudo-Columns

Pseudo column fields are used in the WHERE clause of SELECT statements and offer a more granular control over the tuples that are returned from the data source.

Name	Type	Description
`Type`	`String`	Type of the Activity This is in correlation with the key_string parameter of ActivityTypes When value for type is not set, it will be given a default value Call. The default value is Call.
`Done`	`Boolean`	Whether the Activity is done or not. 0 = Not done 1 = Done. If omitted, returns both Done and Not done activities. The allowed values are 0, 1.
`FilterId`	`Integer`	The ID of the Filter to use.
`StartDate`	`String`	Use the Activity due date where you wish to begin fetching Activities from Insert due date in YYYY-MM-DD format.
`EndDate`	`String`	Use the Activity due date where you wish to stop fetching Activities from Insert due date in YYYY-MM-DD format.

ActivitiesParticipants

Getdetails of activities participants

Select

The connector will use the Pipedrive API to process WHERE clause conditions built with the following columns and operators. The rest of the filter is executed client side within the connector.

ActivitiesId supports the = operator.
Done supports the = operator.
Type supports the '=, IN' operators.
UserId supports the = operator.
FilterId supports the = operator.
StartDate supports the = operator.
EndDate supports the = operator.

For example, the following query is processed server side:

SELECT * FROM ActivitiesParticipants WHERE ActivitiesId = 246

SELECT * FROM ActivitiesParticipants WHERE Done = 0

SELECT * FROM  ActivitiesParticipants WHERE Type IN ('deadline', 'call')

SELECT * FROM  ActivitiesParticipants WHERE EndDate = '2021-12-24'

SELECT * FROM  ActivitiesParticipants WHERE UserId = 8230170

Columns

Name	Type	Description
`PersonId [KEY]`	`Integer`	PersonId
`ActivitiesId`	`Integer`	Activities ID.
`PrimaryFlag`	`Boolean`	PrimaryFlag

Pseudo-Columns

Pseudo column fields are used in the WHERE clause of SELECT statements and offer a more granular control over the tuples that are returned from the data source.

Name	Type	Description
`Type`	`String`	Type of the Activity This is in correlation with the key_string parameter of ActivityTypes When value for type is not set, it will be given a default value Call The default value is Call.
`Done`	`Boolean`	Whether the Activity is done or not 0 = Not done 1 = Done If omitted returns both Done and Not done activities The allowed values are 0, 1.
`FilterId`	`Integer`	The ID of the Filter to use
`StartDate`	`String`	Use the Activity due date where you wish to begin fetching Activities from Insert due date in YYYY-MM-DD format
`EndDate`	`String`	Use the Activity due date where you wish to stop fetching Activities from Insert due date in YYYY-MM-DD format
`UserId`	`String`	UserId

ActivityFields

Returns all activity fields.

Select

The connector will use the Pipedrive API to process WHERE clause conditions built with the following columns and operators. The rest of the filter is executed client side within the connector.

For example, the following query is processed server side:

SELECT * FROM ActivityFields

Columns

Name	Type	Description
`Id [KEY]`	`Integer`	Id.
`ActiveFlag`	`Boolean`	ActiveFlag.
`AddTime`	`Datetime`	AddTime.
`AddVisibleFlag`	`Boolean`	AddVisibleFlag.
`BulkEditAllowed`	`Boolean`	BulkEditAllowed.
`DetailsVisibleFlag`	`Boolean`	DetailsVisibleFlag.
`EditFlag`	`Boolean`	EditFlag.
`FieldType`	`String`	FieldType.
`FilteringAllowed`	`Boolean`	FilteringAllowed.
`ImportantFlag`	`Boolean`	ImportantFlag.
`IndexVisibleFlag`	`Boolean`	IndexVisibleFlag.
`Key`	`String`	Key.
`LastUpdatedByUserId`	`String`	LastUpdatedByUserId.
`MandatoryFlag`	`Boolean`	MandatoryFlag.
`Name`	`String`	Name.
`Options`	`String`	Options.
`OrderNr`	`Integer`	OrderNr.
`SearchableFlag`	`Boolean`	SearchableFlag.
`SortableFlag`	`Boolean`	SortableFlag.
`UpdateTime`	`Datetime`	UpdateTime.

ActivityFieldsOptions

Returns all activity fields.

Columns

Name	Type	Description
`Id [KEY]`	`String`	Id.
`Label`	`String`	Label.

Currencies

Returns all supported currencies in given account which should be used when saving monetary values with other objects.

Select

The connector will use the Pipedrive API to process WHERE clause conditions built with the following columns and operators. The rest of the filter is executed client side within the connector.

Term supports the = operator.

For example, the following query is processed server side. Term can be Currencies.Name or/and Currencies.Code:

SELECT * FROM Currencies WHERE Term = 'Armenian Dram'
SELECT * FROM Currencies WHERE Term = 'AFN'

Columns

Name	Type	Description
`Id [KEY]`	`Integer`	Id.
`ActiveFlag`	`Boolean`	ActiveFlag.
`Code`	`String`	Code.
`DecimalPoints`	`Integer`	DecimalPoints.
`IsCustomFlag`	`Boolean`	IsCustomFlag.
`Name`	`String`	Name.
`Symbol`	`String`	Symbol.

Pseudo-Columns

Pseudo column fields are used in the WHERE clause of SELECT statements and offer a more granular control over the tuples that are returned from the data source.

Name	Type	Description
`Term`	`String`	Optional search term that is searched for from currency's name and/or code.

CurrentUsers

Returns data about an authorized user within the company with bound company data: company ID, company name, and domain.

Select

The connector will use the Pipedrive API to process WHERE clause conditions built with the following columns and operators. The rest of the filter is executed client side within the connector.

Id supports the = operator.

For example, the following query is processed server side:

SELECT * FROM CurrentUsers
SELECT * FROM CurrentUsers WHERE ID = 2

Columns

Name	Type	Description
`Id [KEY]`	`Integer`	ID of the user.
`Activated`	`Boolean`	Activated.
`ActiveFlag`	`Boolean`	Whether the user is active or not. The default value is true.
`Created`	`Datetime`	Created.
`DefaultCurrency`	`String`	DefaultCurrency.
`Email`	`String`	Email of the user.
`Hascreatedcompany`	`Boolean`	Hascreatedcompany.
`IconUrl`	`String`	IconUrl.
`IsAdmin`	`Integer`	IsAdmin.
`IsYou`	`Boolean`	IsYou.
`Lang`	`Integer`	Lang.
`LastLogin`	`Datetime`	LastLogin.
`Locale`	`String`	Locale.
`Modified`	`Datetime`	Modified.
`Name`	`String`	Name of the user.
`Phone`	`String`	Phone.
`RoleId`	`Integer`	ID of the role.
`TimezoneName`	`String`	TimezoneName.
`TimezoneOffset`	`String`	TimezoneOffset.
`Access`	`String`	The access given to the user.
`CompanyId`	`Integer`	Company Id.
`CompanyName`	`String`	Company Name.
`CompanyDomain`	`String`	Company Domain.
`CompanyCountry`	`String`	Company Country.
`CompanyIndustry`	`String`	Company Industry.
`LanguageCode`	`String`	Language Code.
`CountryCode`	`String`	Country Code.

DealFieldsOptions

Returns data about all deal fields.

Columns

Name	Type	Description
`Id [KEY]`	`String`	Id.
`Label`	`String`	Label.

Pseudo-Columns

Pseudo column fields are used in the WHERE clause of SELECT statements and offer a more granular control over the tuples that are returned from the data source.

Name	Type	Description
`Name`	`String`	Name of the field.
`FieldType`	`String`	Type of the field. The allowed values are address, date, daterange, double, enum, monetary, org, people, phone, set, text, time, timerange, user, varchar, varchar_auto, visible_to.
`AddVisibleFlag`	`Boolean`	AddVisibleFlag.

DealsActivities

Get all Deals Activities assigned to a particular User.

Select

The connector will use the Pipedrive API to process WHERE clause conditions built with the following columns and operators. The rest of the filter is executed client side within the connector.

DealId supports the = operator.
Done supports the = operator.
Exclude supports the '=,IN' operators.

For example, the following query is processed server side:

SELECT * FROM DealsActivities WHERE DealId = 246
SELECT * FROM DealsActivities WHERE DealId = 246 AND done = 0
SELECT * FROM DealsActivities WHERE DealId = 246 AND Exclude IN ('240', '241')

Columns

Name	Type	Description
`Id [KEY]`	`Integer`	Id.
`ActiveFlag`	`Boolean`	Active Flag.
`AddTtime`	`Datetime`	Add Ttime.
`AssignedToUserId`	`Integer`	Assigned To UserId.
`Attendees`	`String`	Attendees.
`BusyFlag`	`Boolean`	BusyFlag.
`IncludeContext`	`String`	Include Context.
`CompanyId`	`Integer`	Company Id.
`MeetingClient`	`String`	Meeting Client.
`MeetingId`	`String`	Meeting Id.
`MeetingUrl`	`String`	Meeting Url.
`CreatedByUserId`	`Integer`	CreatedBy UserId.
`DealDropboxBcc`	`String`	Deal Dropbox Bcc.
`DealId`	`Integer`	Deal Id.
`DealTitle`	`String`	Deal Title.
`Done`	`Boolean`	Whether the activity is done or not 0 = Not done, 1 = Done If omitted returns both Done and Not done activities. The allowed values are 0, 1.
`DueDate`	`Date`	Due Date.
`DueTime`	`Time`	Due Time.
`Duration`	`Time`	Duration.
`FileCleanName`	`String`	FileCleanName.
`FileId`	`String`	FileId.
`FileUrl`	`String`	FileUrl.
`EventId`	`String`	eventId.
`CalendarEtag`	`String`	CalendarEtag.
`CalendarId`	`String`	Calendar Id.
`NotificationTime`	`Datetime`	Notification Time.
`NotificationUserId`	`Integer`	Notification UserId.
`LeadId`	`String`	Lead Id.
`Location`	`String`	Location.
`AreaLevel1`	`String`	AreaLevel1.
`AreaLevel2`	`String`	AreaLevel2.
`Country`	`String`	Country.
`FormattedAddress`	`String`	FormattedAddress.
`Lat`	`Double`	Lat.
`Locality`	`String`	Locality.
`Long`	`Double`	Long.
`PostalCode`	`String`	PostalCode.
`Route`	`String`	Route.
`StreetNumber`	`String`	StreetNumber.
`Sublocality`	`String`	Sublocality.
`Subpremise`	`String`	Subpremise.
`MarkedAsDoneTime`	`Datetime`	MarkedAsDoneTime.
`Note`	`String`	Note.
`NotificationLanguageId`	`Integer`	NotificationLanguageId.
`OrgId`	`Integer`	OrgId.
`OrgName`	`String`	OrgName.
`OwnerName`	`String`	OwnerName.
`Participants`	`String`	Participants.
`PersonDropboxBcc`	`String`	Person Dropbox Bcc.
`PersonId`	`Integer`	PersonId.
`PersonName`	`String`	PersonName.
`PublicDescription`	`String`	PublicDescription.
`MasterActivityId`	`String`	MasterActivityId.
`Rule`	`String`	Rule.
`RuleExtension`	`String`	RuleExtension.
`ReferenceId`	`Integer`	ReferenceId.
`ReferenceType`	`String`	ReferenceType.
`Series`	`String`	Series.
`SourceTimezone`	`String`	SourceTimezone.
`Subject`	`String`	Subject.
`Type`	`String`	Type.
`UpdateTime`	`Datetime`	UpdateTime.
`UpdateUserId`	`Integer`	UpdateUserId.
`UserId`	`Integer`	UserId.

Pseudo-Columns

Pseudo column fields are used in the WHERE clause of SELECT statements and offer a more granular control over the tuples that are returned from the data source.

Name	Type	Description
`Exclude`	`String`	A comma-separated string of activity IDs to exclude from result.

DealsActivitiesAttendees

Get Details of Deals Activities Attendees.

Select

The connector will use the Pipedrive API to process WHERE clause conditions built with the following columns and operators. The rest of the filter is executed client side within the connector.

DealId supports the = operator.
Done supports the = operator.
Exclude supports the '=,IN' operators.

For example, the following query is processed server side:

SELECT * FROM DealsActivitiesAttendees WHERE DealId = 246
SELECT * FROM DealsActivitiesAttendees WHERE DealId = 246 AND done = 0
SELECT * FROM DealsActivitiesAttendees WHERE DealId = 246 Exclude IN ('240', '241')

Columns

Name	Type	Description
`DealId`	`Integer`	Deal Id.
`EmailAddress`	`String`	EmailAddress.
`IsOrganizer`	`Integer`	IsOrganizer.
`Name`	`String`	Name.
`PersonId`	`Integer`	PersonId.
`Status`	`String`	Status.
`UserId`	`String`	UserId.

Pseudo-Columns

Pseudo column fields are used in the WHERE clause of SELECT statements and offer a more granular control over the tuples that are returned from the data source.

Name	Type	Description
`Done`	`Boolean`	Whether the activity is done or not 0 = Not done, 1 = Done If omitted returns both Done and Not done activities. The allowed values are 0, 1.
`Exclude`	`String`	A comma-separated string of activity IDs to exclude from result.

DealsActivitiesParticipants

Getdetails of activities participants.

Select

The connector will use the Pipedrive API to process WHERE clause conditions built with the following columns and operators. The rest of the filter is executed client side within the connector.

DealId supports the = operator.
Done supports the = operator.
Exclude supports the '=,IN' operators.

For example, the following query is processed server side:

SELECT * FROM DealsActivitiesParticipants WHERE DealId = 246
SELECT * FROM DealsActivitiesParticipants WHERE DealId = 246 AND done = 0
SELECT * FROM DealsActivitiesParticipants WHERE DealId = 246 Exclude IN ('240', '241')

Columns

Name	Type	Description
`DealId`	`Integer`	Deal Id.
`PersonId [KEY]`	`Integer`	PersonId.
`PrimaryFlag`	`Boolean`	PrimaryFlag.

Pseudo-Columns

Pseudo column fields are used in the WHERE clause of SELECT statements and offer a more granular control over the tuples that are returned from the data source.

Name	Type	Description
`Done`	`Boolean`	Whether the activity is done or not 0 = Not done, 1 = Done If omitted returns both Done and Not done activities. The allowed values are 0, 1.
`Exclude`	`String`	A comma-separated string of activity IDs to exclude from result.

DealsFiles

Get details of deals file.

Select

The connector will use the Pipedrive API to process WHERE clause conditions built with the following columns and operators. The rest of the filter is executed client side within the connector.

DealId supports the = operator.

For example, the following query is processed server side:

SELECT * FROM DealsFiles WHERE DealId = 246

Columns

Name	Type	Description
`Id [KEY]`	`Integer`	ID of the deal.
`ActiveFlag`	`Boolean`	Active Flag.
`ActivityId`	`String`	Activity Id.
`AddTime`	`Datetime`	AddTime.
`Cid`	`String`	Cid.
`DealId`	`String`	Deal Id.
`DealName`	`String`	DealName.
`Description`	`String`	Description.
`FileName`	`String`	File Name.
`FileSize`	`Integer`	File Size.
`FileType`	`String`	File Type.
`InlineFlag`	`Boolean`	Inline Flag.
`LogId`	`String`	Log Id.
`MailMessageId`	`String`	MailMessage Id.
`MailTemplateId`	`String`	MailTemplate Id.
`Name`	`String`	Name.
`OrgId`	`Integer`	Org Id.
`OrgName`	`String`	Org Name.
`PeopleName`	`String`	People Name.
`PersonId`	`String`	PersonId.
`PersonName`	`String`	Person Name.
`ProductId`	`String`	Product Id.
`ProductName`	`String`	Product Name.
`RemoteId`	`String`	Remote Id.
`RemoteLocation`	`String`	Remote Location.
`S3Bucket`	`String`	S3Bucket.
`UpdateTime`	`Datetime`	Update Time.
`Url`	`String`	Url.
`UserId`	`Integer`	UserId.
`LeadId`	`String`	Lead Id.
`LeadName`	`String`	Lead Name.

DealsMailMessages

Get details of Deal mail Messages.

Select

The connector will use the Pipedrive API to process WHERE clause conditions built with the following columns and operators. The rest of the filter is executed client side within the connector.

Id supports the = operator.

For example, the following query is processed server side:

SELECT * FROM DealsMailMessages WHERE ID = 246

Columns

Name	Type	Description
`Id [KEY]`	`Integer`	id.
`AccountId`	`String`	AccountId.
`AddTime`	`Datetime`	addTime.
`Bcc`	`String`	Bcc.
`BodyUrl`	`String`	bodyUrl.
`Cc`	`String`	cc.
`CompanyId`	`Integer`	companyId.
`DeletedFlag`	`Integer`	DeletedFlag.
`Draft`	`String`	Draft.
`DraftFlag`	`Integer`	DraftFlag.
`ExternalDeletedFlag`	`Integer`	ExternalDeletedFlag.
`From`	`String`	From.
`AttachmentsFlag`	`Integer`	AttachmentsFlag.
`BodyFlag`	`Integer`	BodyFlag.
`InlineAttachmentsFlag`	`Integer`	InlineAttachmentsFlag.
`RealAttachmentsFlag`	`Integer`	RealAttachmentsFlag.
`ItemType`	`String`	ItemType.
`TrackingEnabledFlag`	`Integer`	TrackingEnabledFlag.
`ThreadId`	`Integer`	ThreadId.
`TrackingStatus`	`String`	TrackingStatus.
`MessageTime`	`String`	MessageTime.
`MessageId`	`String`	MessageId.
`NylasId`	`String`	NylasId.
`ReadFlag`	`Integer`	ReadFlag.
`S3Bucket`	`String`	S3Bucket.
`S3BucketPath`	`String`	S3BucketPath.
`SentFlag`	`Integer`	SentFlag.
`SentFromPipedriveFlag`	`Integer`	SentFromPipedriveFlag.
`SmartBccFlag`	`Integer`	SmartBccFlag.
`Snippet`	`String`	Snippet.
`Subject`	`String`	Subject.
`SyncedFlag`	`Integer`	SyncedFlag.
`TemplateId`	`String`	TemplateId.
`Timestamp`	`Datetime`	Timestamp.
`To`	`String`	To.
`UpdateTime`	`Datetime`	UpdateTime.
`UserId`	`Integer`	UserId.
`WriteFlag`	`Boolean`	writeFlag.
`Object`	`String`	Object.

DealsMailMessagesBcc

Get details of Deal mail Messages.

Select

The connector will use the Pipedrive API to process WHERE clause conditions built with the following columns and operators. The rest of the filter is executed client side within the connector.

Id supports the = operator.

For example, the following query is processed server side:

SELECT * FROM DealsMailMessagesBcc WHERE ID = 246

Columns

Name	Type	Description
`Id [KEY]`	`Integer`	id.
`EmailAddress`	`String`	EmailAddress.
`PersonId`	`String`	PersonId.
`PersonName`	`String`	PersonName.
`MessagePartyId`	`Integer`	MessagePartyId.
`Name`	`String`	Name.

DealsMailMessagesCc

Get details of Deal mail Messages.

Select

The connector will use the Pipedrive API to process WHERE clause conditions built with the following columns and operators. The rest of the filter is executed client side within the connector.

Id supports the = operator.

For example, the following query is processed server side:

SELECT * FROM DealsMailMessagesCc WHERE ID = 246

Columns

Name	Type	Description
`Id [KEY]`	`Integer`	Id.
`EmailAddress`	`String`	EmailAddress.
`PersonId`	`String`	PersonId.
`PersonName`	`String`	PersonName.
`MessagePartyId`	`Integer`	MessagePartyId.
`Name`	`String`	Name.

DealsMailMessagesFrom

Get details of Deal mail Messages.

Select

The connector will use the Pipedrive API to process WHERE clause conditions built with the following columns and operators. The rest of the filter is executed client side within the connector.

Id supports the = operator.

For example, the following query is processed server side:

SELECT * FROM DealsMailMessagesFrom WHERE ID = 246

Columns

Name	Type	Description
`Id [KEY]`	`Integer`	Id.
`EmailAddress`	`String`	EmailAddress.
`PersonId`	`String`	PersonId.
`PersonName`	`String`	PersonName.
`MessagePartyId`	`Integer`	MessagePartyId.
`Name`	`String`	Name.

DealsMailMessagesTo

Get details of Deal mail Messages.

Select

The connector will use the Pipedrive API to process WHERE clause conditions built with the following columns and operators. The rest of the filter is executed client side within the connector.

Id supports the = operator.

For example, the following query is processed server side:

SELECT * FROM DealsMailMessagesTo WHERE ID = 246

Columns

Name	Type	Description
`Id [KEY]`	`Integer`	Id.
`EmailAddress`	`String`	EmailAddress.
`PersonId`	`String`	PersonId.
`PersonName`	`String`	PersonName.
`MessagePartyId`	`Integer`	MessagePartyId.
`Name`	`String`	Name.

DealsParticipantsEmail

Get details of deals participants Person Email.

Select

The connector will use the Pipedrive API to process WHERE clause conditions built with the following columns and operators. The rest of the filter is executed client side within the connector.

DealsParticipantsId supports the = operator.

For example, the following query is processed server side:

SELECT * FROM DealsParticipantsEmail
SELECT * FROM DealsParticipantsEmail WHERE DealsParticipantsId = 2

Columns

Name	Type	Description
`DealsParticipantsId [KEY]`	`Integer`	Id.
`Label`	`String`	Label.
`Value`	`String`	Email.
`Primary`	`Boolean`	Boolean value Primary.

DealsParticipantsPersonEmail

Get details of deals participants Person Email.

Select

The connector will use the Pipedrive API to process WHERE clause conditions built with the following columns and operators. The rest of the filter is executed client side within the connector.

DealsParticipantsId supports the = operator.

For example, the following query is processed server side:

SELECT * FROM DealsParticipantsPersonEmail
SELECT * FROM DealsParticipantsPersonEmail WHERE DealsParticipantsId = 2

Columns

Name	Type	Description
`DealsParticipantsId [KEY]`	`Integer`	Id.
`Label`	`String`	Label.
`Value`	`String`	Email.
`Primary`	`Boolean`	Boolean value Primary.

DealsParticipantsPersonPhone

Get details of deals participants Person Phone.

Select

The connector will use the Pipedrive API to process WHERE clause conditions built with the following columns and operators. The rest of the filter is executed client side within the connector.

DealsParticipantsId supports the = operator.

For example, the following query is processed server side:

SELECT * FROM DealsParticipantsPersonPhone
SELECT * FROM DealsParticipantsPersonPhone WHERE DealsParticipantsId = 2

Columns

Name	Type	Description
`DealsParticipantsId [KEY]`	`Integer`	Id.
`Label`	`String`	Label.
`Value`	`String`	Value.
`Primary`	`Boolean`	Boolean value Primary.

DealsParticipantsPhone

Get details of deals participants Person Email.

Select

The connector will use the Pipedrive API to process WHERE clause conditions built with the following columns and operators. The rest of the filter is executed client side within the connector.

DealsParticipantsId supports the = operator.

For example, the following query is processed server side:

SELECT * FROM DealsParticipantsPhone
SELECT * FROM DealsParticipantsPhone WHERE DealsParticipantsId = 2

Columns

Name	Type	Description
`DealsParticipantsId [KEY]`	`Integer`	Id.
`Label`	`String`	Label.
`Value`	`String`	Value.
`Primary`	`Boolean`	Boolean value Primary.

DealsPermittedUsers

Get details of deals Permitted users

Columns

Name	Type	Description
`Data`	`String`	Data.

Pseudo-Columns

Pseudo column fields are used in the WHERE clause of SELECT statements and offer a more granular control over the tuples that are returned from the data source.

Name	Type	Description
`Id`	`String`	Id.

DealsPersonEmails

Get all emails asscociated with persons in deal

Select

The connector will use the Pipedrive API to process WHERE clause conditions built with the following columns and operators. The rest of the filter is executed client side within the connector.

DealsId supports the = operator.

For example, the following query is processed server side:

SELECT * FROM DealsPersonEmails
SELECT * FROM DealsPersonEmails WHERE DealsId = 2

Columns

Name	Type	Description
`DealsId [KEY]`	`Integer`	Deals ID.
`Label`	`String`	Label.
`Value`	`String`	Value.
`Primary`	`Boolean`	Primary.

DealsPersonPhone

Get all phone asscociated with persons in deal.

Select

The connector will use the Pipedrive API to process WHERE clause conditions built with the following columns and operators. The rest of the filter is executed client side within the connector.

DealsId supports the = operator.

For example, the following query is processed server side:

SELECT * FROM DealsPersonPhone
SELECT * FROM DealsPersonPhone WHERE DealsId = 2

Columns

Name	Type	Description
`DealsId [KEY]`	`Integer`	Deals ID.
`label`	`String`	Label.
`Value`	`String`	Value.
`Primary`	`Boolean`	Primary.

DealsPersons

Get details of deals persons.

Select

The connector will use the Pipedrive API to process WHERE clause conditions built with the following columns and operators. The rest of the filter is executed client side within the connector.

Id supports the = operator.
DealId supports the = operator.

For example, the following query is processed server side:

SELECT * FROM DealsPersons
SELECT * FROM DealsPersons WHERE DealId = 8

Columns

Name	Type	Description
`Id [KEY]`	`Integer`	Id.
`DealId`	`Integer`	Deal Id.
`ActivitiesCount`	`Integer`	ActivitiesCount.
`ActiveFlag`	`Boolean`	ActiveFlag.
`AddTime`	`Datetime`	AddTime.
`CcEmail`	`String`	CcEmail.
`ClosedDealsCount`	`Integer`	ClosedDealsCount.
`CompanyId`	`Integer`	CompanyId.
`DoneActivitiesCount`	`Integer`	DoneActivitiesCount.
`Email`	`String`	Email.
`EmailMessagesCount`	`Integer`	EmailMessagesCount.
`FilesCount`	`Integer`	FilesCount.
`Label`	`Integer`	label.
`LastActivityDate`	`Date`	LastActivityDate.
`LastActivityId`	`Integer`	LastActivityId.
`LastincomingMailTime`	`String`	LastincomingMailTime.
`Lastname`	`String`	Lastname.
`LastoutgoingMailTime`	`String`	LastoutgoingMailTime.
`LostdealsCount`	`Integer`	LostdealsCount.
`Name`	`String`	Name.
`NextActivityDate`	`Date`	nextActivityDate.
`NextActivityId`	`Integer`	nextActivityId.
`NextActivityTime`	`String`	nextActivityTime.
`NotesCount`	`Integer`	NotesCount.
`OpenDealsCount`	`Integer`	OpenDealsCount.
`OrgActiveFlag`	`Boolean`	OrgActiveFlag.
`OrgAddress`	`String`	OrgAddress.
`OrgCcEmail`	`String`	OrgCcEmail.
`OrgName`	`String`	OrgName.
`OrgownerId`	`Integer`	OrgownerId.
`OrgpeopleCount`	`Integer`	OrgpeopleCount.
`OrgId`	`Integer`	OrgId.
`OwnerActiveFlag`	`Boolean`	OwnerActiveFlag.
`OwnerEmail`	`String`	OwnerEmail.
`OwnerHasPic`	`Integer`	OwnerHasPic.
`OwnerId`	`Integer`	OwnerId.
`OwnerName`	`String`	OwnerName.
`OwnerPicHash`	`String`	OwnerPicHash.
`OwnerValue`	`Integer`	OwnerValue.
`ParticipantClosedDealsCount`	`Integer`	ClosedDealsCount.
`ParticipantOpenDealsCount`	`Integer`	OpenDealsCount.
`Phone`	`String`	Phone.
`PictureActiveFlag`	`Boolean`	PictureActiveFlag.
`PictureaddTime`	`Datetime`	PictureaddTime.
`PictureaddedByUserId`	`Integer`	PictureaddedByUserId.
`PictureItemId`	`Integer`	PictureItemId.
`PictureitemType`	`String`	PictureitemType.
`Picture128`	`String`	Picture128.
`Picture512`	`String`	Picture512.
`PictureupdateTime`	`String`	PictureupdateTime.
`Picturevalue`	`Integer`	Picturevalue.
`PictureId`	`String`	PictureId.
`RelatedclosedDealsCount`	`Integer`	RelatedclosedDealsCount.
`RelatedlostDealsCount`	`Integer`	RelatedlostDealsCount.
`RelatedopenDealsCount`	`Integer`	RelatedopenDealsCount.
`RelatedwonDealsCount`	`Integer`	RelatedwonDealsCount.
`UndoneActivitiesCount`	`Integer`	UndoneActivitiesCount.
`UpdateTime`	`Datetime`	UpdateTime.
`VisibleTo`	`String`	visibleTo.
`WonDealsCount`	`Integer`	WonDealsCount.
`FirstName`	`String`	First Name.
`FollowersCount`	`Integer`	Followers Count.
`PrimaryEmail`	`String`	Primary Email.
`FirstChar`	`String`	First Char.
`MarketingStatus`	`String`	Marketing Status.

DealsPersonsEmail

Get details of deals participants Person Email.

Columns

Name	Type	Description
`DealsPersonsId [KEY]`	`Integer`	Id.
`Label`	`String`	Label.
`Value`	`String`	Email.
`Primary`	`Boolean`	Boolean value Primary.

DealsPersonsPhone

Get details of deals participants Person Email.

Select

The connector will use the Pipedrive API to process WHERE clause conditions built with the following columns and operators. The rest of the filter is executed client side within the connector.

DealsPersonsId supports the = operator.

For example, the following query is processed server side:

SELECT * FROM DealsPersonsPhone WHERE DealsPersonsId = 2

Columns

Name	Type	Description
`DealsPersonsId [KEY]`	`Integer`	Id.
`Label`	`String`	Label.
`Value`	`String`	Value.
`Primary`	`Boolean`	Boolean value Primary.

DealsSummary

Return detils of deals summary.

Select

The connector will use the Pipedrive API to process WHERE clause conditions built with the following columns and operators. The rest of the filter is executed client side within the connector.

Status supports the = operator.
UserId supports the = operator.
FilterId supports the = operator.
StageId supports the = operator.

For example, the following query is processed server side:

SELECT * FROM DealsSummary WHERE UserId = 8230170

SELECT * FROM DealsSummary WHERE Status = 'open'

SELECT * FROM DealsSummary WHERE StageId = 1

SELECT * FROM DealsSummary WHERE FilterId = 1

Columns

Name	Type	Description
`TotalCount`	`Integer`	Total Count.
`Totalvalue`	`Double`	Total value.
`TotalValueFormatted`	`String`	Total Value Formatted.
`TotalWeightedValue`	`Double`	Total Weighted Value.
`TotalWeightedValueFormatted`	`String`	Total Weighted Value Formatted.
`EURCount`	`Integer`	EUR Count.
`EURValue`	`Integer`	EUR Value.
`EURConverted`	`Double`	EUR Converted.
`EURConvertedFormatted`	`String`	EUR Converted Formatted.
`EURFormatted`	`String`	EUR Formatted.
`USDCount`	`Integer`	USD Count.
`USDValue`	`Integer`	USD Value.
`USDConverted`	`Integer`	USD Converted.
`USDConvertedFormatted`	`String`	USD Converted Formatted.
`USDFormatted`	`String`	USD Formatted.
`WeightedEURCount`	`Integer`	Weighted EUR Count.
`WeightedEURValue`	`Integer`	Weighted EUR Value.
`WeightedEURValueFormatted`	`String`	Weighted EUR Value Formatted.
`WeightedUSDCount`	`Integer`	Weighted USD Count.
`WeightedUSD`	`Integer`	Weighted USD.
`WeightedUSDFormatted`	`String`	Weighted USD Formatted.

Pseudo-Columns

Pseudo column fields are used in the WHERE clause of SELECT statements and offer a more granular control over the tuples that are returned from the data source.

Name	Type	Description
`FilterId`	`Integer`	Filter Id.
`UserId`	`Integer`	User Id.
`StageId`	`Integer`	Stage Id.
`Status`	`String`	Status.

DealsTimeline

Usage information for the operation DealsTimeline.rsd.

Select

The connector will use the Pipedrive API to process WHERE clause conditions built with the following columns and operators. The rest of the filter is executed client side within the connector.

UserId supports the = operator.
ConvertCurrency supports the = operator.
ExcludeDeals supports the = operator.
FilterId supports the = operator.
PipelineId supports the = operator.
IntervalType supports the = operator.
Amount supports the = operator.
StartDate supports the = operator.
FieldKey supports the = operator.
IntervalType supports the = operator.

For example, the following query is processed server side:

Required fields: Amount, StartDate, FieldKey and IntervalType is required

SELECT * FROM DealsTimeline WHERE Amount = '3' AND StartDate = '2021-12-12' AND FieldKey = 'add_time' AND IntervalType = 'month'

Columns

Name	Type	Description
`Deals`	`String`	Deals
`PeriodEnd`	`Datetime`	Period End
`PeriodStart`	`Date`	Period Start
`Count`	`Integer`	Count
`OpenCount`	`Integer`	open Count
`OpenValuesEUR`	`Integer`	open Values EUR
`ValuesEUR`	`Integer`	Values EUR
`ValuesUSD`	`Integer`	Values USD
`WeightedOpenValuesEUR`	`Integer`	Weighted Open Values EUR
`WeightedValuesEUR`	`Integer`	Weighted Values EUR
`WeightedValuesUSD`	`Integer`	Weighted Values USD
`WonCount`	`Integer`	Won Count
`WonValuesUSD`	`Integer`	Won Values USD

Pseudo-Columns

Pseudo column fields are used in the WHERE clause of SELECT statements and offer a more granular control over the tuples that are returned from the data source.

Name	Type	Description
`StartDate`	`Date`	Date where the first interval starts. Format: YYYY-MM-DD.
`IntervalType`	`String`	Type Of Interval. The allowed values are day, week, month, quarter.
`Amount`	`Integer`	The number of given intervals, starting from start_date, to fetch E.g 3 months.
`FieldKey`	`String`	The date field key which deals will be retrieved from.
`UserId`	`Integer`	User id.
`FilterId`	`Integer`	Type Of Interval. The allowed values are day, week, month, quarter.
`ExcludeDeals`	`Integer`	Whether to exclude deals list 1 or not 0. The allowed values are 0, 1.
`ConvertCurrency`	`String`	3-letter currency code of any of the supported currencies.
`PipelineId`	`Integer`	Pipeline Id.

DealsTimelineDeals

Return details of DealsTimeline deals.

Columns

Name	Type	Description
`Id [KEY]`	`Integer`	Id.
`Active`	`Boolean`	Active.
`ActivitiesCount`	`Integer`	ActivitiesCount.
`AddTime`	`Datetime`	AddTime.
`CcEmail`	`String`	CcEmail.
`CloseTime`	`String`	CloseTime.
`CreatorUserId`	`Integer`	CreatorUserId.
`Currency`	`String`	Currency.
`Deleted`	`Boolean`	Deleted.
`DoneActivitiesCount`	`Integer`	DoneActivitiesCount.
`EmailMessagesCount`	`Integer`	EmailMessagesCount.
`ExpectedCloseDate`	`Date`	ExpectedCloseDate.
`FilesCount`	`Integer`	FilesCount.
`FirstWonTime`	`Datetime`	FirstWonTime.
`FollowersCount`	`Integer`	FollowersCount.
`FormattedValue`	`String`	FormattedValue.
`FormattedWeightedValue`	`String`	FormattedWeightedValue.
`Label`	`String`	Label.
`LastActivityDate`	`String`	LastActivityDate.
`LastActivityId`	`String`	LastActivityId.
`LastncomingMailTime`	`Datetime`	LastncomingMailTime.
`LastoutgoingMailTime`	`Datetime`	LastoutgoingMailTime.
`Lostreason`	`String`	Lostreason.
`LostTime`	`String`	LostTime.
`NextActivityDate`	`Date`	NextActivityDate.
`NextActivityDuration`	`Time`	NextActivityDuration.
`NextActivityId`	`Integer`	NextActivityId.
`NextActivityNote`	`String`	NextActivityNote.
`NextActivitySubject`	`String`	NextActivitySubject.
`NextActivityTime`	`Time`	NextActivityTime.
`NextActivityType`	`String`	NextActivityType.
`NotesCount`	`Integer`	NotesCount.
`OrgHidden`	`Boolean`	OrgHidden.
`OrgId`	`Integer`	OrgId.
`OrgName`	`String`	OrgName.
`OwnerName`	`String`	OwnerName.
`ParticipantsCount`	`Integer`	ParticipantsCount.
`PersonHidden`	`Boolean`	PersonHidden.
`PersonId`	`Integer`	PersonId.
`PersonName`	`String`	PersonName.
`PipelineId`	`Integer`	PipelineId.
`Probability`	`String`	Probability.
`ProductsCount`	`Integer`	ProductsCount.
`RottenTime`	`String`	RottenTime.
`StageChangeTime`	`Datetime`	StageChangeTime.
`StageId`	`Integer`	StageId.
`StageOrderNr`	`Integer`	StageOrderNr.
`Status`	`String`	Status.
`Title`	`String`	Title.
`UndoneActivitiesCount`	`Integer`	UndoneActivitiesCount.
`UpdateTime`	`Datetime`	UpdateTime.
`UserId`	`Integer`	UserId.
`Value`	`Integer`	Value.
`VisibleTo`	`String`	VisibleTo.
`WeightedValue`	`Integer`	WeightedValue.
`WeightedValueCurrency`	`String`	WeightedValueCurrency.
`WonTime`	`Datetime`	WonTime.

Pseudo-Columns

Pseudo column fields are used in the WHERE clause of SELECT statements and offer a more granular control over the tuples that are returned from the data source.

Name	Type	Description
`StartDate`	`Date`	Date where the first interval starts. Format: YYYY-MM-DD
`IntervalType`	`String`	Type Of Interval. The allowed values are day, week, month, quarter.
`Amount`	`Integer`	The number of given intervals, starting from start_date, to fetch E.g 3 months.
`FieldKey`	`String`	The date field key which deals will be retrieved from.
`FilterId`	`Integer`	Type Of Interval. The allowed values are day, week, month, quarter.
`ExcludeDeals`	`Integer`	Whether to exclude deals list 1 or not 0. The allowed values are 0, 1.
`ConvertCurrency`	`String`	3-letter currency code of any of the supported currencies.

DealsUpdates

Get details of deals updates.

Select

The connector will use the Pipedrive API to process WHERE clause conditions built with the following columns and operators. The rest of the filter is executed client side within the connector.

DealId supports the = operator.
AllChanges supports the = operator.
Items supports the '=,IN' operators.

For example, the following query is processed server side:

SELECT * FROM DealsUpdates WHERE DealId = 3
SELECT * FROM DealsUpdates WHERE DealId = 246 AND AllChanges = 1
SELECT * FROM DealsUpdates WHERE DealId = 246 AND Items IN ('activity', 'call')

Columns

Name	Type	Description
`Id`	`Integer`	Id.
`AccountId`	`String`	AccountId.
`ActiveFlag`	`Boolean`	ActiveFlag.
`AddTime`	`Datetime`	AddTime.
`AdditionalData`	`String`	AdditionalData.
`AssignedToUserId`	`Integer`	AssignedToUserId.
`Attachments`	`String`	Attachments.
`Attendees`	`String`	Attendees.
`Bcc`	`String`	Bcc.
`BodyUrl`	`String`	BodyUrl.
`BusyFlag`	`Boolean`	BusyFlag.
`IncludeContext`	`String`	IncludeContext.
`Cc`	`String`	Cc.
`ChangeSource`	`String`	ChangeSource.
`UserAgent`	`String`	UserAgent.
`CompanyId`	`Integer`	CompanyId.
`MeetingClient`	`String`	MeetingClient.
`MeetingId`	`String`	MeetingId.
`MeetingUrl`	`String`	MeetingUrl.
`CreatedByUserId`	`Integer`	CreatedByUserId.
`DealDropboxBcc`	`String`	DealDropboxBcc.
`DealId`	`Integer`	DealId.
`DealTitle`	`String`	DealTitle.
`DeletedFlag`	`Integer`	DeletedFlag.
`Done`	`Boolean`	Done.
`Draft`	`String`	Draft.
`DraftFlag`	`Integer`	DraftFlag.
`DueDate`	`Date`	DueDate.
`DueTime`	`Time`	DueTime.
`Duration`	`Time`	Duration.
`ExternalDeletedFlag`	`Integer`	ExternalDeletedFlag.
`FieldKey`	`String`	FieldKey.
`CleanName`	`String`	CleanName.
`FileId`	`String`	FileId.
`Url`	`String`	Url.
`From`	`String`	From.
`GcalEventId`	`String`	GcalEventId.
`GoogleCalendarEtag`	`String`	GoogleCalendarEtag.
`GoogleCalendarId`	`String`	GoogleCalendarId.
`AttachmentsFlag`	`Integer`	AttachmentsFlag.
`BodyFlag`	`Integer`	BodyFlag.
`InlineAttachmentsFlag`	`Integer`	InlineAttachmentsFlag.
`RealAttachmentsFlag`	`Integer`	RealAttachmentsFlag.
`IsBulkUpdateFlag`	`String`	IsBulkUpdateFlag.
`ItemId`	`Integer`	ItemId.
`ItemType`	`String`	ItemType.
`NotificationTime`	`Datetime`	NotificationTime.
`NotificationUserId`	`Integer`	NotificationUserId.
`LeadId`	`String`	LeadId.
`Location`	`String`	Location.
`AdminAreaLevel1`	`String`	AdminAreaLevel1.
`AdminAreaLevel2`	`String`	AdminAreaLevel2.
`Country`	`String`	Country.
`FormattedAddress`	`String`	FormattedAddress.
`Lat`	`Double`	Lat.
`Locality`	`String`	Locality.
`Long`	`Double`	Long.
`PostalCode`	`String`	PostalCode.
`Route`	`String`	Route.
`StreetNumber`	`String`	StreetNumber.
`Sublocality`	`String`	Sublocality.
`Subpremise`	`String`	Subpremise.
`LogTime`	`Datetime`	LogTime.
`TrackingEnabledFlag`	`Integer`	TrackingEnabledFlag.
`MailThreadId`	`Integer`	MailThreadId.
`MailTrackingStatus`	`String`	MailTrackingStatus.
`MarkedAsDoneTime`	`Datetime`	MarkedAsDoneTime.
`MessageTime`	`String`	MessageTime.
`MuaMessageId`	`String`	MuaMessageId.
`NewValue`	`String`	NewValue.
`Note`	`String`	Note.
`LanguageId`	`Integer`	LanguageId.
`NylasId`	`String`	NylasId.
`OldValue`	`Integer`	OldValue.
`OrgId`	`Integer`	OrgId.
`OrgName`	`String`	OrgName.
`OwnerName`	`String`	OwnerName.
`Participants`	`String`	Participants.
`PersonDropboxBcc`	`String`	PersonDropboxBcc.
`PersonId`	`Integer`	PersonId.
`PersonName`	`String`	PersonName.
`PublicDescription`	`String`	PublicDescription.
`ReadFlag`	`Integer`	ReadFlag.
`RecActivityId`	`String`	RecActivityId.
`RecRule`	`String`	RecRule.
`RecRuleExtension`	`String`	RecRuleExtension.
`ReferenceId`	`Integer`	ReferenceId.
`ReferenceType`	`String`	ReferenceType.
`S3Bucket`	`String`	S3Bucket.
`S3BucketPath`	`String`	S3BucketPath.
`SentFlag`	`Integer`	SentFlag.
`SentFromPipedriveFlag`	`Integer`	SentFromPipedriveFlag.
`Series`	`String`	Series.
`SmartBccFlag`	`Integer`	SmartBccFlag.
`Snippet`	`String`	Snippet.
`SourceTimezone`	`String`	SourceTimezone.
`Subject`	`String`	Subject.
`SyncedFlag`	`Integer`	SyncedFlag.
`TemplateId`	`String`	TemplateId.
`Timestamp`	`Datetime`	Timestamp.
`To`	`String`	To.
`Type`	`String`	Type.
`UpdateTime`	`Datetime`	UpdateTime.
`UpdateUserId`	`Integer`	UpdateUserId.
`UserId`	`Integer`	UserId.
`WriteFlag`	`Boolean`	WriteFlag.
`Object`	`String`	Object.

Pseudo-Columns

Pseudo column fields are used in the WHERE clause of SELECT statements and offer a more granular control over the tuples that are returned from the data source.

Name	Type	Description
`AllChanges`	`String`	Whether to show custom field updates or not. The allowed values are 1.
`Items`	`String`	Item specific updates. The allowed values are activity, plannedActivity, note, file, change, deal, follower, participant, mailMessage, mailMessageWithAttachment, invoice, activityFile, document.

DealsUpdatesAttachments

Get details of deals Updates Attachments.

Select

The connector will use the Pipedrive API to process WHERE clause conditions built with the following columns and operators. The rest of the filter is executed client side within the connector.

DealId supports the = operator.
AllChanges supports the = operator.
Items supports the '=,IN' operators.

For example, the following query is processed server side:

SELECT * FROM DealsUpdatesAttachments WHERE DealId = 3
SELECT * FROM DealsUpdatesAttachments WHERE DealId = 246 AND AllChanges = 1
SELECT * FROM DealsUpdatesAttachments WHERE DealId = 246 AND Items IN ('activity', 'call')

Columns

Name	Type	Description
`Id [KEY]`	`Integer`	Id.
`ActiveFlag`	`Boolean`	ActiveFlag.
`ActivityId`	`String`	ActivityId.
`AddTime`	`Datetime`	AddTime.
`Cid`	`String`	Cid.
`DealName`	`String`	DealName.
`DealId`	`Integer`	dealid.
`Description`	`String`	Description.
`FileName`	`String`	FileName.
`FileSize`	`Integer`	FileSize.
`FileType`	`String`	FileType.
`InlineFlag`	`Boolean`	InlineFlag.
`LogId`	`String`	LogId.
`MailMessageId`	`String`	MailMessageId.
`MailTemplateId`	`String`	MailTemplateId.
`Name`	`String`	Name.
`OrgId`	`Integer`	OrgId.
`OrgName`	`String`	OrgName.
`PeopleName`	`String`	PeopleName.
`PersonId`	`String`	PersonId.
`PersonName`	`String`	PersonName.
`ProductId`	`String`	ProductId.
`ProductName`	`String`	ProductName.
`RemoteId`	`String`	RemoteId.
`RemoteLocation`	`String`	RemoteLocation.
`S3Bucket`	`String`	S3Bucket.
`UpdateTime`	`Datetime`	UpdateTime.
`Url`	`String`	Url.
`UserId`	`Integer`	UserId.
`LeadId`	`Integer`	Lead Id.
`LeadName`	`Integer`	Lead Name.

Pseudo-Columns

Pseudo column fields are used in the WHERE clause of SELECT statements and offer a more granular control over the tuples that are returned from the data source.

Name	Type	Description
`AllChanges`	`String`	Whether to show custom field updates or not. The allowed values are 1.
`Items`	`String`	Item specific updates. The allowed values are Activity, plannedActivity, note, file, change, deal, follower, participant, mailMessage, mailMessageWithAttachment, invoice, activityFile, document.

DealsUpdatesAttendees

Get Details of Deals Activities Attendees.

Columns

Name	Type	Description
`DealId`	`Integer`	Deal Id.
`EmailAddress`	`String`	EmailAddress.
`IsOrganizer`	`Integer`	IsOrganizer.
`Name`	`String`	Name.
`Status`	`String`	Status.
`UserId`	`String`	UserId.

Pseudo-Columns

Pseudo column fields are used in the WHERE clause of SELECT statements and offer a more granular control over the tuples that are returned from the data source.

Name	Type	Description
`AllChanges`	`String`	Whether to show custom field updates or not. The allowed values are 1.
`Items`	`String`	Item specific updates. The allowed values are Activity, plannedActivity, note, file, change, deal, follower, participant, mailMessage, mailMessageWithAttachment, invoice, activityFile, document.

DealsUpdatesBcc

Get details of Deal updates Bcc.

Select

The connector will use the Pipedrive API to process WHERE clause conditions built with the following columns and operators. The rest of the filter is executed client side within the connector.

DealId supports the = operator.
AllChanges supports the = operator.
Items supports the '=,IN' operators.

For example, the following query is processed server side:

SELECT * FROM DealsUpdatesBcc WHERE DealId = 3
SELECT * FROM DealsUpdatesBcc WHERE DealId = 246 AND AllChanges = 1
SELECT * FROM DealsUpdatesBcc WHERE DealId = 246 AND Items IN ('activity', 'call')

Columns

Name	Type	Description
`Id [KEY]`	`Integer`	Id.
`DealId`	`Integer`	Deal Id.
`EmailAddress`	`String`	EmailAddress.
`PersonId`	`String`	PersonId.
`PersonName`	`String`	PersonName.
`MessagePartyId`	`Integer`	MessagePartyId.
`Name`	`String`	Name.

Pseudo-Columns

Pseudo column fields are used in the WHERE clause of SELECT statements and offer a more granular control over the tuples that are returned from the data source.

Name	Type	Description
`AllChanges`	`String`	Whether to show custom field updates or not. The allowed values are 1.
`Items`	`String`	item specific updates. The allowed values are Activity, plannedActivity, note, file, change, deal, follower, participant, mailMessage, mailMessageWithAttachment, invoice, activityFile, document.

DealsUpdatesCc

Get details of Deals Updates cc.

Select

The connector will use the Pipedrive API to process WHERE clause conditions built with the following columns and operators. The rest of the filter is executed client side within the connector.

DealId supports the = operator.
AllChanges supports the = operator.
Items supports the '=,IN' operators.

For example, the following query is processed server side:

SELECT * FROM DealsUpdatesCc WHERE DealId = 3
SELECT * FROM DealsUpdatesCc WHERE DealId = 246 AND AllChanges = 1
SELECT * FROM DealsUpdatesCc WHERE DealId = 246 AND Items IN ('activity', 'call')

Columns

Name	Type	Description
`Id [KEY]`	`Integer`	Id.
`PersonId`	`String`	PersonId.
`DealId`	`Integer`	Deal Id.
`EmailAddress`	`String`	EmailAddress.
`PersonName`	`String`	PersonName.
`MessagePartyId`	`Integer`	MessagePartyId.
`Name`	`String`	Name.

Pseudo-Columns

Pseudo column fields are used in the WHERE clause of SELECT statements and offer a more granular control over the tuples that are returned from the data source.

Name	Type	Description
`AllChanges`	`String`	Whether to show custom field updates or not. The allowed values are 1.
`Items`	`String`	item specific updates. The allowed values are Activity, plannedActivity, note, file, change, deal, follower, participant, mailMessage, mailMessageWithAttachment, invoice, activityFile, document.

DealsUpdatesFrom

Get details of Deals Updates From.

Select

The connector will use the Pipedrive API to process WHERE clause conditions built with the following columns and operators. The rest of the filter is executed client side within the connector.

DealId supports the = operator.
AllChanges supports the = operator.
Items supports the '=,IN' operators.

For example, the following query is processed server side:

SELECT * FROM DealsUpdatesFrom WHERE DealId = 3
SELECT * FROM DealsUpdatesFrom WHERE DealId = 246 AND AllChanges = 1
SELECT * FROM DealsUpdatesFrom WHERE DealId = 246 AND Items IN ('activity', 'call')

Columns

Name	Type	Description
`Id [KEY]`	`Integer`	Id.
`DealId`	`Integer`	Deal Id.
`EmailAddress`	`String`	EmailAddress.
`PersonId`	`String`	PersonId.
`PersonName`	`String`	PersonName.
`MessagePartyId`	`Integer`	MessagePartyId.
`Name`	`String`	Name.

Pseudo-Columns

Pseudo column fields are used in the WHERE clause of SELECT statements and offer a more granular control over the tuples that are returned from the data source.

Name	Type	Description
`AllChanges`	`String`	Whether to show custom field updates or not The allowed values are 1.
`Items`	`String`	item specific updates The allowed values are Activity, plannedActivity, note, file, change, deal, follower, participant, mailMessage, mailMessageWithAttachment, invoice, activityFile, document.

DealsUpdatesParticipants

Get details of deals updates participants.

Columns

Name	Type	Description
`PersonId [KEY]`	`Integer`	PersonId.
`DealId`	`Integer`	Deal Id.
`PrimaryFlag`	`Boolean`	PrimaryFlag.

Pseudo-Columns

Pseudo column fields are used in the WHERE clause of SELECT statements and offer a more granular control over the tuples that are returned from the data source.

Name	Type	Description
`AllChanges`	`String`	Whether to show custom field updates or not. The allowed values are 1.
`Items`	`String`	Item specific updates. The allowed values are Activity, plannedActivity, note, file, change, deal, follower, participant, mailMessage, mailMessageWithAttachment, invoice, activityFile, document.

DealsUpdatesTo

Get details of Deals Updates to.

Select

The connector will use the Pipedrive API to process WHERE clause conditions built with the following columns and operators. The rest of the filter is executed client side within the connector.

DealId supports the = operator.
AllChanges supports the = operator.
Items supports the '=,IN' operators.

For example, the following query is processed server side:

SELECT * FROM DealsUpdatesTo WHERE DealId = 3
SELECT * FROM DealsUpdatesTo WHERE DealId = 246 AND AllChanges = 1
SELECT * FROM DealsUpdatesTo WHERE DealId = 246 AND Items IN ('activity', 'call')

Columns

Name	Type	Description
`Id [KEY]`	`Integer`	Id.
`DealId`	`Integer`	Deal Id.
`EmailAddress`	`String`	EmailAddress.
`PersonId`	`String`	PersonId.
`PersonName`	`String`	PersonName.
`MessagePartyId`	`Integer`	MessagePartyId.
`Name`	`String`	Name.

Pseudo-Columns

Pseudo column fields are used in the WHERE clause of SELECT statements and offer a more granular control over the tuples that are returned from the data source.

Name	Type	Description
`AllChanges`	`String`	Whether to show custom field updates or not. The allowed values are 1.
`Items`	`String`	item specific updates. The allowed values are Activity, plannedActivity, note, file, change, deal, follower, participant, mailMessage, mailMessageWithAttachment, invoice, activityFile, document.

FilterHelpers

Returns all supported filter helpers.

Columns

Name	Type	Description
`AdminAreaLevel1`	`String`	AdminAreaLevel1.
`AdminAreaLevel2`	`String`	AdminAreaLevel2.
`Country`	`String`	Country.
`FormattedAddress`	`String`	FormattedAddress.
`Locality`	`String`	Locality.
`PostalCode`	`String`	PostalCode.
`Route`	`String`	Route.
`StreetNumber`	`String`	StreetNumber.
`Sublocality`	`String`	Sublocality.
`Subpremise`	`String`	Subpremise.
`CurrencyNotEqual`	`String`	CurrencyNotEqual.
`CurrencyEqual`	`String`	CurrencyEqual.
`DateNotEqual`	`String`	DateNotEqual.
`DateLessThan`	`String`	DateLessThan.
`DateLessThanOrEqual`	`String`	DateLessThanOrEqual.
`DateEqual`	`String`	DateEqual.
`DateGreaterThan`	`String`	DateGreaterThan.
`DateGreaterThanOrEqual`	`String`	DateGreaterThanOrEqual.
`DateISNOTNULL`	`String`	DateISNOTNULL.
`DateISNULL`	`String`	DateISNULL.
`DateRangeNotEqual`	`String`	DateRangeNotEqual.
`DateRangeLessThan`	`String`	DateRangeLessThan.
`DateRangeLessThanOrEqual`	`String`	DateRangeLessThanOrEqual.
`DateRangeEqual`	`String`	DateRangeEqual.
`DateRangeGreaterThan`	`String`	DateRangeGreaterThan.
`DateRangeGreaterThanOrEqual`	`String`	DateRangeGreaterThanOrEqual.
`DateRangeDoesNotEndAt`	`String`	DateRangeDoesNotEndAt.
`DateRangeEndsAfter`	`String`	DateRangeEndsAfter.
`DateRangeEndsAt`	`String`	DateRangeEndsAt.
`DateRangeEndsBefore`	`String`	DateRangeEndsBefore.
`DateRangeEndsEAfter`	`String`	DateRangeEndsEAfter.
`DateRangeEndsEBefore`	`String`	DateRangeEndsEBefore.
`DateRangeincludes`	`String`	DateRangeincludes.
`DateRangeISNOTNULL`	`String`	DateRangeISNOTNULL.
`DateRangeISNULL`	`String`	DateRangeISNULL.
`DealNotEqual`	`String`	DealNotEqual.
`DealEqual`	`String`	DealEqual.
`DealISNOTNULL`	`String`	DealISNOTNULL.
`DealISNULL`	`String`	DealISNULL.
`DoubleNotEqual`	`String`	DoubleNotEqual.
`DoubleLessThan`	`String`	DoubleLessThan.
`DoubleLessThanOrEqual`	`String`	DoubleLessThanOrEqual.
`DoubleEqual`	`String`	DoubleEqual.
`DoubleGreaterThan`	`String`	DoubleGreaterThan.
`DoubleGreaterThanOrEqual`	`String`	DoubleGreaterThanOrEqual.
`DoubleISNOTNULL`	`String`	DoubleISNOTNULL.
`DoubleISNULL`	`String`	DoubleISNULL.
`EnteredStageNotEqual`	`String`	EnteredStageNotEqual.
`EnteredStageLessThan`	`String`	EnteredStageLessThan.
`EnteredStageLessThanOrEqual`	`String`	EnteredStageLessThanOrEqual.
`EnteredStageEqual`	`String`	EnteredStageEqual.
`EnteredStageGreaterThan`	`String`	EnteredStageGreaterThan.
`EnteredStageGreaterThanOrEqual`	`String`	EnteredStageGreaterThanOrEqual.
`EnumNotEqual`	`String`	EnumNotEqual.
`EnumEqual`	`String`	EnumEqual.
`EnumISNOTNULL`	`String`	EnumISNOTNULL.
`EnumISNULL`	`String`	EnumISNULL.
`IntNotEqual`	`String`	IntNotEqual.
`IntLessThan`	`String`	IntLessThan.
`IntLessThanOrEqual`	`String`	IntLessThanOrEqual.
`IntEqual`	`String`	IntEqual.
`IntGreaterThan`	`String`	IntGreaterThan.
`IntGreaterThanOrEqual`	`String`	IntGreaterThanOrEqual.
`IntISNOTNULL`	`String`	IntISNOTNULL.
`IntISNULL`	`String`	IntISNULL.
`MonetaryNotEqual`	`String`	MonetaryNotEqual.
`MonetaryLessThan`	`String`	MonetaryLessThan.
`MonetaryLessThanOrEqual`	`String`	MonetaryLessThanOrEqual.
`MonetaryEqual`	`String`	MonetaryEqual.
`MonetaryGreaterThan`	`String`	MonetaryGreaterThan.
`MonetaryGreaterThanOrEqual`	`String`	MonetaryGreaterThanOrEqual.
`MonetaryISNOTNULL`	`String`	MonetaryISNOTNULL.
`MonetaryISNULL`	`String`	MonetaryISNULL.
`OrganizationNotEqual`	`String`	OrganizationNotEqual.
`OrganizationEqual`	`String`	OrganizationEqual.
`OrganizationISNOTNULL`	`String`	OrganizationISNOTNULL.
`OrganizationISNULL`	`String`	OrganizationISNULL.
`PersonNotEqual`	`String`	PersonNotEqual.
`PersonEqual`	`String`	PersonEqual.
`PersonISNOTNULL`	`String`	PersonISNOTNULL.
`PersonISNULL`	`String`	PersonISNULL.
`PipelineNotEqual`	`String`	PipelineNotEqual.
`PipelineEqual`	`String`	PipelineEqual.
`ProductNotEqual`	`String`	ProductNotEqual.
`ProductEqual`	`String`	ProductEqual.
`ProductISNOTNULL`	`String`	ProductISNOTNULL.
`ProductISNULL`	`String`	ProductISNULL.
`SetNotEqual`	`String`	SetNotEqual.
`SetEqual`	`String`	SetEqual.
`SetContains`	`String`	SetContains.
`SetISNOTNULL`	`String`	SetISNOTNULL.
`SetISNULL`	`String`	SetISNULL.
`SetNotContains`	`String`	SetNotContains.
`StageNotEqual`	`String`	StageNotEqual.
`StageEqual`	`String`	StageEqual.
`StageHasBeen`	`String`	StageHasBeen.
`StatusNotEqual`	`String`	StatusNotEqual.
`StatusEqual`	`String`	StatusEqual.
`TimeNotEqual`	`String`	TimeNotEqual.
`TimeLessThan`	`String`	TimeLessThan.
`TimeLessThanOrEqual`	`String`	TimeLessThanOrEqual.
`TimeEqual`	`String`	TimeEqual.
`TimeGreaterThan`	`String`	TimeGreaterThan.
`TimeGreaterThanOrEqual`	`String`	TimeGreaterThanOrEqual.
`TimeISNOTNULL`	`String`	TimeISNOTNULL.
`TimeISNULL`	`String`	TimeISNULL.
`TimerangeNotEqual`	`String`	TimerangeNotEqual.
`TimerangeLessThan`	`String`	TimerangeLessThan.
`TimerangeLessThanOrEqual`	`String`	TimerangeLessThanOrEqual.
`TimerangeEqual`	`String`	TimerangeEqual.
`TimerangeGreaterThan`	`String`	TimerangeGreaterThan.
`TimerangeGreaterThanOrEqual`	`String`	TimerangeGreaterThanOrEqual.
`TimerangedoesNotEndAt`	`String`	TimerangeDoes_not_end_at.
`TimerangeEndsAfter`	`String`	TimerangeEndsAfter.
`TimerangeEndsAt`	`String`	TimerangeEndsAt.
`TimerangeEndsBefore`	`String`	TimerangeEndsBefore.
`TimerangeEndsEAfter`	`String`	TimerangeEndsEAfter.
`TimerangeEndsEBefore`	`String`	TimerangeEndsEBefore.
`TimerangeIncludes`	`String`	TimerangeIncludes.
`TimerangeISNOTNULL`	`String`	TimerangeISNOTNULL.
`TimerangeISNULL`	`String`	TimerangeISNULL.
`TitleEqual`	`String`	TitleEqual.
`TitleLIKE'$%'`	`String`	TitleLIKE'$%'.
`TitleLIKE'%$'`	`String`	TitleLIKE'%$'.
`TitleLIKE'%$%'`	`String`	TitleLIKE'%$%'.
`TitleNOTLIKE'$%'`	`String`	TitleNOTLIKE'$%'.
`TitleNOTLIKE'%$'`	`String`	TitleNOTLIKE'%$'.
`TitleNOTLIKE'%$%'`	`String`	TitleNOTLIKE'%$%'.
`UserNotEqual`	`String`	UserNotEqual.
`UserEqual`	`String`	UserEqual.
`UserBelongsToTeam`	`String`	User.belongs_to_team.
`UserISNOTNULL`	`String`	User.IS_NOT_NULL.
`UserISNULL`	`String`	User.IS_NULL.
`VarcharNotEqual`	`String`	VarcharNotEqual.
`VarcharEqual`	`String`	VarcharEqual.
`VarcharISNOTNULL`	`String`	VarcharISNOTNULL.
`VarcharISNULL`	`String`	VarcharISNULL.
`VarcharLIKE'$%'`	`String`	VarcharLIKE'$%'
`VarcharLIKE'%$'`	`String`	VarcharLIKE'%$'
`VarcharLIKE'%$%'`	`String`	VarcharLIKE'%$%'
`VarcharNOTLIKE'$%'`	`String`	VarcharNOTLIKE'$%'
`VarcharNOTLIKE'%$'`	`String`	VarcharNOTLIKE'%$'
`VarcharNOTLIKE'%$%'`	`String`	VarcharNOTLIKE'%$%'
`VisibletoNotEqual`	`String`	VisibletoNotEqual.
`VisibletoEqual`	`String`	VisibletoEqual.
`RottenTime`	`String`	RottenTime.
`LastMonth`	`String`	LastMonth.
`LastQuarter`	`String`	LastQuarter.
`LastWeek`	`String`	LastWeek.
`NextMonth`	`String`	NextMonth.
`NextWeek`	`String`	NextWeek.
`ThisMonth`	`String`	ThisMonth.
`ThisQuarter`	`String`	ThisQuarter.
`ThisWeek`	`String`	ThisWeek.
`OnemonthsAgo`	`String`	OnemonthsAgo.
`OneweekAgo`	`String`	OneweekAgo.
`TwoMonthsAgo`	`String`	TwoMonthsAgo.
`TwoWeeksAgo`	`String`	TwoWeeksAgo.
`ThreeMonthsAgo`	`String`	ThreeMonthsAgo.
`ThreeWeeksAgo`	`String`	ThreeWeeksAgo.
`FourMonthsAgo`	`String`	FourMonthsAgo.
`FiveMonthsAgo`	`String`	FiveMonthsAgo.
`SixMonthsAgo`	`String`	SixMonthsAgo.
`BeforeToday`	`String`	BeforeToday.
`BeforeTomorrow`	`String`	BeforeTomorrow.
`InOneMonth`	`String`	InOneMonth.
`InOneWeek`	`String`	InOneWeek.
`InTwoMonths`	`String`	InTwoMonths.
`InTwoWeeks`	`String`	InTwoWeeks.
`InThreeMonths`	`String`	InThreeMonths.
`InThreeWeeks`	`String`	InThreeWeeks.
`InFourMonths`	`String`	InFourMonths.
`InFiveMonths`	`String`	InFiveMonths.
`InSixMonths`	`String`	InSixMonths.
`LaterOrToday`	`String`	LaterOrToday.
`LaterOrTomorrow`	`String`	LaterOrTomorrow.
`Now`	`String`	Now.
`Today`	`String`	Today.
`Tomorrow`	`String`	Tomorrow.
`Yesterday`	`String`	Yesterday.

FindUsersByName

Finds users by their name.

Select

The connector will use the Pipedrive API to process WHERE clause conditions built with the following columns and operators. The rest of the filter is executed client side within the connector.

Id supports the = operator.
Term supports the = operator.
SearchByEmail supports the = operator.

For example, the following query is processed server side:

SELECT * FROM FindUsersByName WHERE Term = 'name'

Columns

Name	Type	Description
`Id [KEY]`	`Integer`	ID of the user.
`Activated`	`Boolean`	Activated.
`ActiveFlag`	`Boolean`	Whether the user is active or not. The default value is true.
`Created`	`Datetime`	Created.
`DefaultCurrency`	`String`	DefaultCurrency.
`Email`	`String`	Email of the user.
`Hascreatedcompany`	`Boolean`	Hascreatedcompany.
`IconUrl`	`String`	IconUrl.
`IsAdmin`	`Integer`	IsAdmin.
`IsYou`	`Boolean`	IsYou.
`Lang`	`Integer`	Lang.
`LastLogin`	`Datetime`	LastLogin.
`Locale`	`String`	Locale.
`Modified`	`Datetime`	Modified.
`Name`	`String`	Name of the user.
`Phone`	`String`	Phone.
`RoleId`	`Integer`	ID of the role.
`TimezoneName`	`String`	TimezoneName.
`TimezoneOffset`	`String`	TimezoneOffset.
`Access`	`String`	The access given to the user.
`Term`	`String`	The search term to look for.
`SearchByEmail`	`Integer`	When enabled, the term will only be matched against email addresses of users. The default value is false.

LeadSources

Returns all Lead Sources.

Select

The connector will use the Pipedrive API to process WHERE clause conditions built with the following columns and operators. The rest of the filter is executed client side within the connector.

For example, the following query is processed server side:

SELECT * FROM LeadSources

Columns

Name	Type	Description
`Name`	`String`	Name.

MailMessages

Returns data about a specific mail message.

Columns

Name	Type	Description
`Id [KEY]`	`Integer`	ID of the Mail Threads.
`PartiesTo`	`String`	To.
`PartiesFrom`	`String`	From.
`DraftParties`	`String`	Draft Parties.
`Folders`	`String`	Folders.
`AccountId`	`String`	Account Id.
`UserId`	`Integer`	User Id.
`Version`	`Integer`	Version.
`Subject`	`String`	Subject.
`Snippet`	`String`	Snippet.
`SnippetDraft`	`String`	SnippetDraft.
`SnippetSent`	`String`	SnippetSent.
`HasAttachmentsFlag`	`Integer`	HasAttachmentsFlag.
`HasInlineAttachmentsFlag`	`Integer`	HasInlineAttachmentsFlag.
`HasRealAttachmentsFlag`	`Integer`	HasRealAttachmentsFlag.
`HasDraftFlag`	`Integer`	HasDraftFlag.
`HasSentFlag`	`Integer`	HasSentFlag.
`ArchivedFlag`	`Integer`	ArchivedFlag.
`DeletedFlag`	`Integer`	DeletedFlag.
`SyncedFlag`	`Integer`	SyncedFlag.
`ExternalDeletedFlag`	`Integer`	ExternalDeletedFlag.
`SmartBccFlag`	`Integer`	SmartBccFlag.
`FirstMessageToMeFlag`	`Integer`	FirstMessageToMeFlag.
`MailLinkTrackingEnabledFlag`	`Integer`	MailLinkTrackingEnabledFlag.
`LastMessageTimestamp`	`String`	LastMessageTimestamp.
`FirstMessageTimestamp`	`String`	FirstMessageTimestamp.
`LastMessageSentTimestamp`	`String`	LastMessageSentTimestamp.
`LastMessageReceivedTimestamp`	`String`	LastMessageReceivedTimestamp.
`AddTime`	`String`	AddTime.
`UpdateTime`	`String`	UpdateTime.
`DealId`	`Integer`	DealId.
`DealStatus`	`Integer`	DealStatus.
`AllMessagesSentFlag`	`Integer`	AllMessagesSentFlag.

Pseudo-Columns

Pseudo column fields are used in the WHERE clause of SELECT statements and offer a more granular control over the tuples that are returned from the data source.

Name	Type	Description
`Folder`	`String`	The type of folder to fetch.

MailThreadMessages

Returns all the mail messages inside a specified mail thread..

Select

The connector will use the Pipedrive API to process WHERE clause conditions built with the following columns and operators. The rest of the filter is executed client side within the connector.

Id supports the = operator.
MailThreadId supports the = operator.

For example, the following query is processed server side:

SELECT * FROM MailThreadMessages WHERE MailThreadId = 145

Columns

Name	Type	Description
`Id [KEY]`	`Integer`	ID of the Mail Thread Messages.
`MailThreadId`	`Integer`	ID of the Mail Thread.
`To`	`String`	To.
`From`	`String`	From.
`Cc`	`String`	Cc.
`Bcc`	`String`	Bcc.
`BodyUrl`	`String`	Body URL.
`AccountId`	`String`	Account Id.
`UserId`	`Integer`	User Id.
`Subject`	`String`	Subject.
`Snippet`	`String`	Snippet.
`MailTrackingStatus`	`String`	Mail Tracking status.
`MailLinkTrackingEnabledFlag`	`Integer`	MailLinkTrackingEnabledFlag.
`ReadFlag`	`Integer`	Readflag.
`Draft`	`String`	Draft.
`DraftFlag`	`Integer`	Draft flag.
`SyncedFlag`	`Integer`	Synced flag.
`DeletedFlag`	`Integer`	Deleted flag.
`HasBodyFlag`	`Integer`	Has body flag.
`SentFlag`	`Integer`	Sent flag.
`SentFromPipeDriveFlag`	`Integer`	SentFromPipeDriveFlag.
`SmartBccFlag`	`Integer`	SmartBccFlag.
`MessageTime`	`String`	MessageTime.
`AddTime`	`String`	AddTime.
`UpdateTime`	`String`	UpdateTime.
`HasAttachmentsFlag`	`Integer`	HasAttachmentsFlag.
`HasInlineAttachmentsFlag`	`Integer`	HasInlineAttachmentsFlag.
`HasRealAttachmentsFlag`	`Integer`	HasRealAttachmentsFlag.

MailThreadMessagesFrom

Returns all the mail messages inside a specified mail thread.

Select

The connector will use the Pipedrive API to process WHERE clause conditions built with the following columns and operators. The rest of the filter is executed client side within the connector.

MailThreadId supports the = operator.

For example, the following query is processed server side:

SELECT * FROM MailThreadMessagesFrom WHERE MailThreadId = 2

Columns

Name	Type	Description
`Id [KEY]`	`Integer`	ID of the Mail Thread Messages.
`MailThreadId`	`Integer`	ID of the Mail Thread.
`EmailAddress`	`String`	Email address.
`Name`	`String`	Name.
`LinkedPersonId`	`Integer`	Linked Person Id.
`LinkedPersonName`	`String`	Linked Person Name.
`MailMessagePartyId`	`Integer`	Mail message Party Id.

MailThreadMessagesTo

Returns all the mail messages inside a specified mail thread.

Select

The connector will use the Pipedrive API to process WHERE clause conditions built with the following columns and operators. The rest of the filter is executed client side within the connector.

MailThreadId supports the = operator.

For example, the following query is processed server side:

SELECT * FROM MailThreadMessagesTo WHERE MailThreadId = 2

Columns

Name	Type	Description
`Id [KEY]`	`Integer`	ID of the Mail Thread Messages.
`MailThreadId`	`Integer`	ID of the Mail Thread.
`EmailAddress`	`String`	Email address.
`Name`	`String`	Name.
`LinkedPersonId`	`Integer`	Linked Person Id.
`LinkedPersonName`	`String`	Linked Person Name.
`MailMessagePartyId`	`Integer`	Mail message Party Id.

MailThreadsFrom

Get details of the user who sent the mail.

Select

The connector will use the Pipedrive API to process WHERE clause conditions built with the following columns and operators. The rest of the filter is executed client side within the connector.

Id supports the = operator.
Folder supports the = operator.

For example, the following query is processed server side:

SELECT * FROM MailThreadsFrom WHERE Folder = 'inbox'

Columns

Name	Type	Description
`Id [KEY]`	`Integer`	ID.
`Name`	`String`	Name.
`LatestSent`	`Boolean`	LatestSent.
`EmailAddress`	`String`	EmailAddress.
`MessageTime`	`String`	MessageTime.
`LinkedPersonId`	`Integer`	LinkedPersonId.
`LinkedPersonName`	`String`	LinkedPersonName.
`LinkedOrganizationId`	`String`	LinkedOrganizationId.
`MailMessagePartyId`	`Integer`	MailMessagePartyId.

Pseudo-Columns

Pseudo column fields are used in the WHERE clause of SELECT statements and offer a more granular control over the tuples that are returned from the data source.

Name	Type	Description
`Folder`	`String`	The type of folder to fetch.

MailThreadsTo

Get details of the user to whom sent the mail.

Select

The connector will use the Pipedrive API to process WHERE clause conditions built with the following columns and operators. The rest of the filter is executed client side within the connector.

Id supports the = operator.
Folder supports the = operator.

For example, the following query is processed server side:

SELECT * FROM MailThreadsTo WHERE Folder = 'inbox'

Columns

Name	Type	Description
`Id [KEY]`	`Integer`	ID.
`Name`	`String`	Name.
`LatestSent`	`Boolean`	LatestSent.
`EmailAddress`	`String`	EmailAddress.
`MessageTime`	`String`	MessageTime.
`LinkedPersonId`	`Integer`	LinkedPersonId.
`LinkedPersonName`	`String`	LinkedPersonName.
`LinkedOrganizationId`	`String`	LinkedOrganizationId.
`MailMessagePartyId`	`Integer`	MailMessagePartyId.

Pseudo-Columns

Pseudo column fields are used in the WHERE clause of SELECT statements and offer a more granular control over the tuples that are returned from the data source.

Name	Type	Description
`Folder`	`String`	The type of folder to fetch.

NoteFields

Returns data about all note fields.

Select

The connector will use the Pipedrive API to process WHERE clause conditions built with the following columns and operators. The rest of the filter is executed client side within the connector.

For example, the following query is processed server side:

SELECT * FROM NoteFields

Columns

Name	Type	Description
`Id [KEY]`	`Integer`	Id.
`ActiveFlag`	`Boolean`	ActiveFlag.
`BulkEditAllowed`	`Boolean`	BulkEditAllowed.
`EditFlag`	`Boolean`	EditFlag.
`FieldType`	`String`	FieldType.
`Key`	`String`	Key.
`MandatoryFlag`	`Boolean`	MandatoryFlag.
`Name`	`String`	Name.
`Options`	`String`	Options.

NoteFieldsOptions

Returns data about all note fields options.

Select

The connector will use the Pipedrive API to process WHERE clause conditions built with the following columns and operators. The rest of the filter is executed client side within the connector.

For example, the following query is processed server side:

SELECT * FROM NoteFieldsOptions

Columns

Name	Type	Description
`Id [KEY]`	`Integer`	Id.
`Label`	`String`	Label.

OrganizationFieldsOptions

Returns data about all organization fields options.

Select

The connector will use the Pipedrive API to process WHERE clause conditions built with the following columns and operators. The rest of the filter is executed client side within the connector.

Id supports the = operator.

For example, the following query is processed server side:

SELECT * FROM OrganizationFieldsOptions

Columns

Name	Type	Description
`Id [KEY]`	`Integer`	ID of the field.
`Label`	`String`	Label.

OrganizationsActivities

Get details of organizations activities.

Select

The connector will use the Pipedrive API to process WHERE clause conditions built with the following columns and operators. The rest of the filter is executed client side within the connector.

Id supports the = operator.
Done supports the = operator.
Exclude supports the '=,IN' operators.

For example, the following query is processed server side:

SELECT * FROM OrganizationsActivities WHERE Id = 246
SELECT * FROM OrganizationsActivities WHERE Id = 246 AND done = 0
SELECT * FROM OrganizationsActivities WHERE ID = 246 AND Exclude IN ('240', '241')

Columns

Name	Type	Description
`Id [KEY]`	`Integer`	Id.
`ActiveFlag`	`Boolean`	ActiveFlag.
`AddTime`	`Datetime`	AddTime.
`AssignedTouserId`	`Integer`	AssignedTouserId.
`Attendees`	`String`	Attendees.
`BusyFlag`	`Boolean`	BusyFlag.
`IncludeContext`	`String`	IncludeContext.
`CompanyId`	`Integer`	CompanyId.
`MeetingClient`	`String`	MeetingClient.
`MeetingId`	`String`	MeetingId.
`MeetingUrl`	`String`	MeetingUrl.
`CreatedByUserId`	`Integer`	CreatedByUserId.
`DealDropboxBcc`	`String`	DealDropboxBcc.
`DealId`	`Integer`	DealId.
`DealTitle`	`String`	DealTitle.
`Done`	`Boolean`	Done.
`DueDate`	`Date`	DueDate.
`DueTime`	`Time`	DueTime.
`Duration`	`Time`	Duration.
`FileCleanName`	`String`	FileCleanName.
`FileId`	`String`	FileId.
`FileUrl`	`String`	FileUrl.
`GcaleventId`	`String`	GcaleventId.
`GoogleCalendarEtag`	`String`	GoogleCalendarEtag.
`GoogleCalendarId`	`String`	GoogleCalendarId.
`LastNotificationTime`	`Datetime`	LastNotificationTime.
`LastNotificationUserId`	`Integer`	LastNotificationUserId.
`LeadId`	`String`	LeadId.
`Location`	`String`	Location.
`AdminAreaLevel1`	`String`	AdminAreaLevel1.
`AdminAreaLevel2`	`String`	AdminAreaLevel2.
`Country`	`String`	Country.
`FormattedAddress`	`String`	FormattedAddress.
`Lat`	`Double`	Lat.
`Locality`	`String`	Locality.
`Long`	`Double`	Long.
`PostalCode`	`String`	PostalCode.
`Route`	`String`	Route.
`StreetNumber`	`String`	StreetNumber.
`Sublocality`	`String`	Sublocality.
`Subpremise`	`String`	Subpremise.
`MarkedAsDoneTime`	`Datetime`	MarkedAsDoneTime.
`Note`	`String`	Note.
`NotificationLanguageId`	`Integer`	NotificationLanguageId.
`OrgId`	`Integer`	OrgId.
`OrgName`	`String`	OrgName.
`OwnerName`	`String`	OwnerName.
`Participants`	`String`	Participants.
`PersonDropboxBcc`	`String`	PersonDropboxBcc.
`PersonId`	`Integer`	PersonId.
`PersonName`	`String`	PersonName.
`PublicDescription`	`String`	PublicDescription.
`MasterActivityId`	`String`	MasterActivityId.
`Rule`	`String`	Rule.
`RuleExtension`	`String`	RuleExtension.
`ReferenceId`	`Integer`	ReferenceId.
`ReferenceType`	`String`	ReferenceType.
`Series`	`String`	Series.
`SourceTimezone`	`String`	SourceTimezone.
`Subject`	`String`	Subject.
`Type`	`String`	Type.
`UpdateTime`	`Datetime`	UpdateTime.
`UpdateUserId`	`Integer`	UpdateUserId.
`UserId`	`Integer`	UserId.

Pseudo-Columns

Pseudo column fields are used in the WHERE clause of SELECT statements and offer a more granular control over the tuples that are returned from the data source.

Name	Type	Description
`Exclude`	`String`	A comma-separated string of activity IDs to exclude from result.

OrganizationsActivitiesAttendees

Get details of organizations activities attendees.

Select

The connector will use the Pipedrive API to process WHERE clause conditions built with the following columns and operators. The rest of the filter is executed client side within the connector.

OrgId supports the = operator.

For example, the following query is processed server side:

SELECT * FROM OrganizationsActivitiesAttendees
SELECT * FROM OrganizationsActivitiesAttendees WHERE OrgId = 2

Columns

Name	Type	Description
`OrgId`	`Integer`	OrgId.
`EmailAddress`	`String`	Email Address.
`IsOrganizer`	`Integer`	IsOrganizer.
`Name`	`String`	Name.
`PersonId`	`Integer`	PersonId.
`Status`	`String`	Status.
`UserId`	`String`	UserId.

Pseudo-Columns

Pseudo column fields are used in the WHERE clause of SELECT statements and offer a more granular control over the tuples that are returned from the data source.

Name	Type	Description
`Exclude`	`String`	A comma-separated string of activity IDs to exclude from result.

OrganizationsActivitiesParticipants

Get details of organizations activities participants.

Select

The connector will use the Pipedrive API to process WHERE clause conditions built with the following columns and operators. The rest of the filter is executed client side within the connector.

OrgId supports the = operator.

For example, the following query is processed server side:

SELECT * FROM OrganizationsActivitiesParticipants
SELECT * FROM OrganizationsActivitiesParticipants WHERE OrgId = 2

Columns

Name	Type	Description
`OrgId`	`Integer`	OrgId.
`PersonId`	`Integer`	PersonId.
`PrimaryFlag`	`Boolean`	Primary Flag.

Pseudo-Columns

Pseudo column fields are used in the WHERE clause of SELECT statements and offer a more granular control over the tuples that are returned from the data source.

Name	Type	Description
`Exclude`	`String`	A comma-separated string of activity IDs to exclude from result.

OrganizationsDeals

Get details of organization deals.

Select

The connector will use the Pipedrive API to process WHERE clause conditions built with the following columns and operators. The rest of the filter is executed client side within the connector.

Id supports the = operator.
Status supports the = operator.
OnlyPrimaryAssociation supports the '=,IN' operators.

For example, the following query is processed server side:

SELECT * FROM OrganizationsDeals WHERE Id = 246
SELECT * FROM OrganizationsDeals WHERE Id = 246 AND Status = 'open'
SELECT * FROM OrganizationsDeals WHERE ID = 246 AND OnlyPrimaryAssociation = 1

Columns

Name	Type	Description
`Id [KEY]`	`Integer`	Id.
`Active`	`Boolean`	Active.
`ActivitiesCount`	`Integer`	ActivitiesCount.
`AddTime`	`Datetime`	AddTime.
`CcEmail`	`String`	CcEmail.
`CloseTime`	`String`	CloseTime.
`CreatoractiveFlag`	`Boolean`	CreatoractiveFlag.
`Creatoremail`	`String`	Creatoremail.
`CreatorhasPic`	`Boolean`	CreatorhasPic.
`Creatorid`	`Integer`	Creatorid.
`Creatorname`	`String`	Creatorname.
`CreatorPicHash`	`String`	CreatorPicHash.
`Creatorvalue`	`Integer`	Creatorvalue.
`Currency`	`String`	Currency.
`Deleted`	`Boolean`	Deleted.
`DoneActivitiesCount`	`Integer`	DoneActivitiesCount.
`EmailMessagesCount`	`Integer`	EmailMessagesCount.
`ExpectedCloseDate`	`Date`	ExpectedCloseDate.
`FilesCount`	`Integer`	FilesCount.
`FirstWonTime`	`Datetime`	FirstWonTime.
`FollowersCount`	`Integer`	FollowersCount.
`FormattedValue`	`String`	FormattedValue.
`FormattedWeightedValue`	`String`	FormattedWeightedValue.
`Label`	`String`	Label.
`LastActivityDate`	`String`	LastActivityDate.
`LastActivityId`	`String`	LastActivityId.
`LastIncomingMailTime`	`Datetime`	LastIncomingMailTime.
`LastOutgoingMailTime`	`Datetime`	LastOutgoingMailTime.
`LostReason`	`String`	LostReason.
`LostTime`	`String`	LostTime.
`NextActivityDate`	`Date`	NextActivityDate.
`NextActivityDuration`	`Time`	NextActivityDuration.
`NextActivityId`	`Integer`	NextActivityId.
`NextActivitynote`	`String`	NextActivitynote.
`NextActivitysubject`	`String`	NextActivitysubject.
`NextActivitytime`	`Time`	NextActivitytime.
`NextActivitytype`	`String`	NextActivitytype.
`NotesCount`	`Integer`	NotesCount.
`OrgHidden`	`Boolean`	OrgHidden.
`OrgActive_flag`	`Boolean`	OrgActive_flag.
`OrgAddress`	`String`	OrgAddress.
`OrgCcEmail`	`String`	OrgCcEmail.
`OrgIdName`	`String`	OrgName.
`OrgOwnerId`	`Integer`	OrgOwnerId.
`OrgPeopleCount`	`Integer`	OrgPeopleCount.
`OrgId`	`Integer`	OrgValue.
`OwnerName`	`String`	OwnerName.
`ParticipantsCount`	`Integer`	ParticipantsCount.
`PersonHidden`	`Boolean`	PersonHidden.
`PersonActiveFlag`	`Boolean`	PersonActiveFlag.
`PersonEmail`	`String`	PersonEmail.
`PersonName`	`String`	PersonName.
`PersonPhone`	`String`	PersonPhone.
`PersonValue`	`Integer`	PersonValue.
`PipelineId`	`Integer`	PipelineId.
`Probability`	`String`	Probability.
`ProductsCount`	`Integer`	ProductsCount.
`RottenTime`	`String`	RottenTime.
`StageChangeTime`	`Datetime`	StageChangeTime.
`StageId`	`Integer`	StageId.
`StageOrderNr`	`Integer`	StageOrderNr.
`Status`	`String`	Only fetch deals with specific status.. The allowed values are open, won, lost, deleted, all_not_deleted.
`Title`	`String`	Title.
`UndoneActivitiesCount`	`Integer`	UndoneActivitiesCount.
`UpdateTime`	`Datetime`	UpdateTime.
`UserActiveFlag`	`Boolean`	UserActiveFlag.
`UserEmail`	`String`	UserEmail.
`UserHasPic`	`Boolean`	UserHasPic.
`UserId`	`Integer`	UserId.
`UserName`	`String`	UserName.
`UserPicHash`	`String`	UserPicHash.
`UserValue`	`Integer`	UserValue.
`Value`	`Integer`	Value.
`VisibleTo`	`String`	VisibleTo.
`WeightedValue`	`Integer`	WeightedValue.
`WeightedValueCurrency`	`String`	WeightedValueCurrency.
`WonTime`	`Datetime`	WonTime.
`OrgName`	`String`	Org Name.

Pseudo-Columns

Pseudo column fields are used in the WHERE clause of SELECT statements and offer a more granular control over the tuples that are returned from the data source.

Name	Type	Description
`OnlyPrimaryAssociation`	`Integer`	If set, only deals that are directly associated to the organization are fetched. The allowed values are 0, 1.

OrganizationsDealsPersonEmail

get details of deals person email.

Select

The connector will use the Pipedrive API to process WHERE clause conditions built with the following columns and operators. The rest of the filter is executed client side within the connector.

OrgId supports the = operator.
Status supports the = operator.
OnlyPrimaryAssociation supports the '=,IN' operators.

For example, the following query is processed server side:

SELECT * FROM OrganizationsDealsPersonEmail WHERE OrgId = 246
SELECT * FROM OrganizationsDealsPersonEmail WHERE OrgId = 246 AND Status = 'open'
SELECT * FROM OrganizationsDealsPersonEmail WHERE OrgId = 246 AND OnlyPrimaryAssociation = 1

Columns

Name	Type	Description
`OrgId [KEY]`	`Integer`	Org Id.
`Label`	`String`	Label.
`Primary`	`Boolean`	Primary.
`Value`	`String`	Value.

Pseudo-Columns

Pseudo column fields are used in the WHERE clause of SELECT statements and offer a more granular control over the tuples that are returned from the data source.

Name	Type	Description
`Status`	`String`	Only fetch deals with specific status. The allowed values are open, won, lost, deleted, all_not_deleted. The default value is all_not_deleted.
`OnlyPrimaryAssociation`	`Integer`	If set, only deals that are directly associated to the organization are fetched. The allowed values are 0, 1.

OrganizationsDealsPersonphone

get details of deals person phone.

Select

The connector will use the Pipedrive API to process WHERE clause conditions built with the following columns and operators. The rest of the filter is executed client side within the connector.

OrgId supports the = operator.
Status supports the = operator.
OnlyPrimaryAssociation supports the '=,IN' operators.

For example, the following query is processed server side:

SELECT * FROM OrganizationsDealsPersonphone WHERE OrgId = 246
SELECT * FROM OrganizationsDealsPersonphone WHERE OrgId = 246 AND Status = open
SELECT * FROM OrganizationsDealsPersonphone WHERE OrgId = 246 AND OnlyPrimaryAssociation = 1

Columns

Name	Type	Description
`OrgId [KEY]`	`Integer`	Org Id.
`Label`	`String`	Label.
`Primary`	`Boolean`	Primary.
`Value`	`String`	Value.

Pseudo-Columns

Pseudo column fields are used in the WHERE clause of SELECT statements and offer a more granular control over the tuples that are returned from the data source.

Name	Type	Description
`Status`	`String`	Only fetch deals with specific status. The allowed values are open, won, lost, deleted, all_not_deleted. The default value is all_not_deleted.
`OnlyPrimaryAssociation`	`Integer`	If set, only deals that are directly associated to the organization are fetched The allowed values are 0, 1.

OrganizationsFiles

Get details of deals file.

Select

The connector will use the Pipedrive API to process WHERE clause conditions built with the following columns and operators. The rest of the filter is executed client side within the connector.

OrgId supports the = operator.

For example, the following query is processed server side:

SELECT * FROM OrganizationsFiles WHERE OrgId = 6

Columns

Name	Type	Description
`Id [KEY]`	`Integer`	ID of the organizations.
`ActiveFlag`	`Boolean`	Active Flag.
`ActivityId`	`String`	Activity Id.
`AddTime`	`Datetime`	AddTime.
`Cid`	`String`	Cid.
`DealId`	`String`	Deal Id.
`DealName`	`String`	DealName.
`Description`	`String`	Description.
`FileName`	`String`	File Name.
`FileSize`	`Integer`	File Size.
`FileType`	`String`	File Type.
`InlineFlag`	`Boolean`	Inline Flag.
`LogId`	`String`	Log Id.
`MailMessageId`	`String`	MailMessage Id.
`MailTemplateId`	`String`	MailTemplate Id.
`Name`	`String`	Name.
`OrgId`	`Integer`	Org Id.
`OrgName`	`String`	Org Name.
`PeopleName`	`String`	People Name.
`PersonId`	`String`	PersonId.
`PersonName`	`String`	Person Name.
`ProductId`	`String`	Produc tId.
`ProductName`	`String`	Product Name.
`RemoteId`	`String`	Remote Id.
`RemoteLocation`	`String`	Remote Location.
`S3Bucket`	`String`	S3Bucket.
`UpdateTime`	`Datetime`	Update Time.
`Url`	`String`	Url.
`UserId`	`Integer`	UserId.
`LeadId`	`String`	LeadId.
`LeadName`	`String`	LeadName.

OrganizationsMailMessages

Get details of organizations mail Messages.

Select

The connector will use the Pipedrive API to process WHERE clause conditions built with the following columns and operators. The rest of the filter is executed client side within the connector.

OrgId supports the = operator.

For example, the following query is processed server side:

SELECT * FROM OrganizationsMailMessages WHERE OrgId = 246

Columns

Name	Type	Description
`Id [KEY]`	`Integer`	Org id.
`OrgId`	`Integer`	Activities ID.
`AccountId`	`String`	AccountId.
`AddTime`	`Datetime`	addTime.
`Bcc`	`String`	Bcc.
`BodyUrl`	`String`	bodyUrl.
`Cc`	`String`	cc.
`CompanyId`	`Integer`	companyId.
`DeletedFlag`	`Boolean`	DeletedFlag.
`Draft`	`String`	Draft.
`DraftFlag`	`Boolean`	DraftFlag.
`ExternalDeletedFlag`	`Boolean`	External DeletedFlag.
`From`	`String`	From.
`AttachmentsFlag`	`Boolean`	AttachmentsFlag.
`BodyFlag`	`Boolean`	BodyFlag.
`InlineAttachmentsFlag`	`Boolean`	InlineAttachmentsFlag.
`RealAttachmentsFlag`	`Boolean`	RealAttachmentsFlag.
`ItemType`	`String`	ItemType.
`TrackingEnabledFlag`	`Boolean`	TrackingEnabledFlag.
`ThreadId`	`Integer`	ThreadId.
`TrackingStatus`	`String`	TrackingStatus.
`MessageTime`	`String`	MessageTime.
`MessageId`	`String`	MessageId.
`NylasId`	`String`	NylasId.
`ReadFlag`	`Boolean`	ReadFlag.
`S3Bucket`	`String`	S3Bucket.
`S3BucketPath`	`String`	S3BucketPath.
`SentFlag`	`Boolean`	SentFlag.
`SentFromPipedriveFlag`	`Boolean`	SentFromPipedriveFlag.
`SmartBccFlag`	`Boolean`	SmartBccFlag.
`Snippet`	`String`	Snippet.
`Subject`	`String`	Subject.
`SyncedFlag`	`Boolean`	SyncedFlag.
`TemplateId`	`String`	TemplateId.
`Timestamp`	`Datetime`	Timestamp.
`To`	`String`	To.
`UpdateTime`	`Datetime`	UpdateTime.
`UserId`	`Integer`	UserId.
`WriteFlag`	`Boolean`	writeFlag.
`Object`	`String`	Object.

OrganizationsMailMessagesBcc

Get details of organizations mail Messages.

Select

The connector will use the Pipedrive API to process WHERE clause conditions built with the following columns and operators. The rest of the filter is executed client side within the connector.

OrgId supports the = operator.

For example, the following query is processed server side:

SELECT * FROM OrganizationsMailMessagesBcc WHERE OrgId = 246

Columns

Name	Type	Description
`Id [KEY]`	`Integer`	id.
`OrgId`	`Integer`	Org Id.
`EmailAddress`	`String`	EmailAddress.
`PersonId`	`Integer`	PersonId.
`PersonName`	`String`	PersonName.
`MessagePartyId`	`Integer`	MessagePartyId.
`Name`	`String`	Name.

OrganizationsMailMessagesCc

Get details of organizations mail Messages.

Select

The connector will use the Pipedrive API to process WHERE clause conditions built with the following columns and operators. The rest of the filter is executed client side within the connector.

OrgId supports the = operator.

For example, the following query is processed server side:

SELECT * FROM OrganizationsMailMessagesCc WHERE OrgId = 246

Columns

Name	Type	Description
`Id [KEY]`	`Integer`	Id.
`OrgId`	`Integer`	Org Id.
`EmailAddress`	`String`	EmailAddress.
`PersonId`	`String`	PersonId.
`PersonName`	`String`	PersonName.
`MessagePartyId`	`Integer`	MessagePartyId.
`Name`	`String`	Name.

OrganizationsMailMessagesFrom

Get details of organizations mail Messages.

Select

The connector will use the Pipedrive API to process WHERE clause conditions built with the following columns and operators. The rest of the filter is executed client side within the connector.

OrgId supports the = operator.

For example, the following query is processed server side:

SELECT * FROM OrganizationsMailMessagesFrom WHERE OrgId = 246

Columns

Name	Type	Description
`Id [KEY]`	`Integer`	Id.
`OrgId`	`Integer`	Org Id.
`EmailAddress`	`String`	EmailAddress.
`PersonId`	`String`	PersonId.
`PersonName`	`String`	PersonName.
`MessagePartyId`	`Integer`	MessagePartyId.
`Name`	`String`	Name.

OrganizationsMailMessagesTo

Get details of organizations mail Messages.

Select

The connector will use the Pipedrive API to process WHERE clause conditions built with the following columns and operators. The rest of the filter is executed client side within the connector.

OrgId supports the = operator.

For example, the following query is processed server side:

SELECT * FROM OrganizationsMailMessagesTo WHERE OrgId = 246

Columns

Name	Type	Description
`Id [KEY]`	`Integer`	Id.
`OrgId`	`Integer`	Org Id.
`EmailAddress`	`String`	EmailAddress.
`PersonId`	`String`	PersonId.
`PersonName`	`String`	PersonName.
`MessagePartyId`	`Integer`	MessagePartyId.
`Name`	`String`	Name.

OrganizationsPermittedUsers

Get details of permitted users of organizations.

Select

The connector will use the Pipedrive API to process WHERE clause conditions built with the following columns and operators. The rest of the filter is executed client side within the connector.

OrgId supports the = operator.

For example, the following query is processed server side:

SELECT * FROM OrganizationsPermittedUsers WHERE OrgId = 10

Columns

Name	Type	Description
`OrgId`	`Integer`	Organization Id.
`UserId`	`Integer`	User Id.

OrganizationsPersons

Get details of organizations persons

Select

The connector will use the Pipedrive API to process WHERE clause conditions built with the following columns and operators. The rest of the filter is executed client side within the connector.

OrgId supports the = operator.
Id supports the = operator.

For example, the following query is processed server side:

SELECT * FROM OrganizationsPersons WHERE OrgId = 10

Columns

Name	Type	Description
`Id [KEY]`	`Integer`	Id
`ActivitiesCount`	`Integer`	ActivitiesCount
`ActiveFlag`	`Boolean`	ActiveFlag
`AddTime`	`Datetime`	AddTime
`CcEmail`	`String`	CcEmail
`ClosedDealsCount`	`Integer`	ClosedDealsCount
`CompanyId`	`Integer`	CompanyId
`DoneActivitiesCount`	`Integer`	DoneActivitiesCount
`Email`	`String`	Email
`EmailMessagesCount`	`Integer`	EmailMessagesCount
`FilesCount`	`Integer`	FilesCount
`Label`	`Integer`	label
`LastActivityDate`	`Date`	LastActivityDate
`LastActivityId`	`Integer`	LastActivityId
`LastincomingMailTime`	`String`	LastincomingMailTime
`Lastname`	`String`	Lastname
`LastoutgoingMailTime`	`String`	LastoutgoingMailTime
`LostdealsCount`	`Integer`	LostdealsCount
`Name`	`String`	Name
`NextActivityDate`	`Date`	nextActivityDate
`NextActivityId`	`Integer`	nextActivityId
`NextActivityTime`	`String`	nextActivityTime
`NotesCount`	`Integer`	NotesCount
`OpenDealsCount`	`Integer`	OpenDealsCount
`OrgActiveFlag`	`Boolean`	OrgActiveFlag
`OrgAddress`	`String`	OrgAddress
`OrgCcEmail`	`String`	OrgCcEmail
`OrgIdName`	`String`	OrgName
`OrgownerId`	`Integer`	OrgownerId
`OrgpeopleCount`	`Integer`	OrgpeopleCount
`OrgId`	`Integer`	OrgId
`OwnerActiveFlag`	`Boolean`	OwnerActiveFlag
`OwnerEmail`	`String`	OwnerEmail
`OwnerHasPic`	`Boolean`	OwnerHasPic
`OwnerId`	`Integer`	OwnerId
`OwnerName`	`String`	OwnerName
`OwnerPicHash`	`String`	OwnerPicHash
`OwnerValue`	`Integer`	OwnerValue
`ParticipantClosedDealsCount`	`Integer`	ParticipantClosedDealsCount
`ParticipantOpenDealsCount`	`Integer`	ParticipantOpenDealsCount
`Phone`	`String`	Phone
`PictureActiveFlag`	`Boolean`	PictureActiveFlag
`PictureaddTime`	`Datetime`	PictureaddTime
`PictureaddedByUserId`	`Integer`	PictureaddedByUserId
`PictureItemId`	`Integer`	PictureItemId
`PictureitemType`	`String`	PictureitemType
`Picture128`	`String`	Picture128
`Picture512`	`String`	Picture512
`PictureupdateTime`	`String`	PictureupdateTime
`Picturevalue`	`Integer`	Picturevalue
`PictureId`	`String`	PictureId
`RelatedclosedDealsCount`	`Integer`	RelatedclosedDealsCount
`RelatedlostDealsCount`	`Integer`	RelatedlostDealsCount
`RelatedopenDealsCount`	`Integer`	RelatedopenDealsCount
`RelatedwonDealsCount`	`Integer`	RelatedwonDealsCount
`UndoneActivitiesCount`	`Integer`	UndoneActivitiesCount
`UpdateTime`	`Datetime`	UpdateTime
`VisibleTo`	`String`	visibleTo
`WonDealsCount`	`Integer`	WonDealsCount
`FirstName`	`String`	First name.
`FollowersCount`	`Integer`	Followes Count.
`PrimaryEmail`	`String`	Primary Email.
`FirstChar`	`String`	First Char.
`MarketingStatus`	`String`	Marketing Status.
`OrgName`	`String`	Org name.

OrganizationsPersonsEmail

Get details of organizations persons email

Select

The connector will use the Pipedrive API to process WHERE clause conditions built with the following columns and operators. The rest of the filter is executed client side within the connector.

OrgId supports the = operator.

For example, the following query is processed server side:

SELECT * FROM OrganizationsPersonsEmail WHERE OrgId = 10

Columns

Name	Type	Description
`OrgId [KEY]`	`Integer`	OrgId
`Value`	`String`	Value.
`Primary`	`Boolean`	Primary.
`Label`	`String`	Label.

OrganizationsPersonsPhone

Get details of organizations persons phone

Select

The connector will use the Pipedrive API to process WHERE clause conditions built with the following columns and operators. The rest of the filter is executed client side within the connector.

OrgId supports the = operator.

For example, the following query is processed server side:

SELECT * FROM OrganizationsPersonsPhone WHERE OrgId = 10

Columns

Name	Type	Description
`OrgId [KEY]`	`Integer`	OrgId
`Value`	`String`	Value.
`Primary`	`Boolean`	Primary.
`Label`	`String`	Label.

OrganizationsUpdates

Get details of organizations updates..

Select

The connector will use the Pipedrive API to process WHERE clause conditions built with the following columns and operators. The rest of the filter is executed client side within the connector.

OrgId supports the = operator.
AllChanges supports the = operator.
Items supports the '=,IN' operators.

For example, the following query is processed server side:

SELECT * FROM OrganizationsUpdates WHERE OrgId = 246

SELECT * FROM OrganizationsUpdates WHERE OrgId = 10 AND AllChanges = 1

SELECT * FROM OrganizationsUpdates WHERE OrgId = 10 AND Items IN ('activity', 'plannedActivity')

Columns

Name	Type	Description
`Id [KEY]`	`Integer`	Id.
`ActiveFlag`	`Boolean`	ActiveFlag.
`ActivityId`	`String`	ActivityId.
`AddTime`	`Datetime`	AddTime.
`NewValueFormatted`	`String`	NewValueFormatted.
`OldValueFormatted`	`String`	OldValueFormatted.
`AssignedToUserId`	`Integer`	AssignedToUserId.
`Attendees`	`String`	Attendees.
`BusyFlag`	`Boolean`	BusyFlag.
`IncludeContext`	`String`	IncludeContext.
`ChangeSource`	`String`	ChangeSource.
`User_agent`	`String`	User_agent.
`Cid`	`String`	Cid.
`CompanyId`	`Integer`	CompanyId.
`ConferenceMeetingClient`	`String`	ConferenceMeetingClient.
`ConferenceMeetingId`	`String`	ConferenceMeetingId.
`ConferenceMeetingUrl`	`String`	ConferenceMeetingUrl.
`CreatedByUserId`	`Integer`	CreatedByUserId.
`DealDropboxBcc`	`String`	DealDropboxBcc.
`DealId`	`Integer`	DealId.
`DealName`	`String`	DealName.
`DealTitle`	`String`	DealTitle.
`Description`	`String`	Description.
`Done`	`Boolean`	Done.
`DueDate`	`Date`	DueDate.
`DueTime`	`Time`	DueTime.
`Duration`	`Time`	Duration.
`FieldKey`	`String`	FieldKey.
`FileCleanName`	`String`	FileCleanName.
`FileId`	`String`	FileId.
`FileUrl`	`String`	FileUrl.
`FileName`	`String`	FileName.
`FileSize`	`Integer`	FileSize.
`FileType`	`String`	FileType.
`GcalEventId`	`String`	GcalEventId.
`GoogleCalendarEtag`	`String`	GoogleCalendarEtag.
`GoogleCalendarId`	`String`	GoogleCalendarId.
`InlineFlag`	`Boolean`	InlineFlag.
`IsBulkUpdateFlag`	`String`	IsBulkUpdateFlag.
`ItemId`	`Integer`	ItemId.
`LastNotificationTime`	`Datetime`	LastNotificationTime.
`LastNotificationUserId`	`Integer`	LastNotificationUserId.
`LeadId`	`String`	LeadId.
`Location`	`String`	Location.
`AdminAreaLevel1`	`String`	AdminAreaLevel1.
`AdminAreaLevel2`	`String`	AdminAreaLevel2.
`Country`	`String`	Country.
`FormattedAddress`	`String`	FormattedAddress.
`Lat`	`Double`	Lat.
`Locality`	`String`	Locality.
`Long`	`Double`	Long.
`PostalCode`	`String`	PostalCode.
`Route`	`String`	Route.
`StreetNumber`	`String`	StreetNumber.
`Sublocality`	`String`	Sublocality.
`Subpremise`	`String`	Subpremise.
`LogId`	`String`	LogId.
`LogTime`	`Datetime`	LogTime.
`MessageId`	`String`	MessageId.
`TemplateId`	`String`	TemplateId.
`MarkedAsDoneTime`	`Datetime`	MarkedAsDoneTime.
`Name`	`String`	Name.
`NewValue`	`String`	NewValue.
`Note`	`String`	Note.
`NotificationLanguageId`	`Integer`	NotificationLanguageId.
`OldValue`	`Integer`	OldValue.
`OrgId`	`Integer`	OrgId.
`OrgName`	`String`	OrgName.
`OwnerName`	`String`	OwnerName.
`Participants`	`String`	Participants.
`PeopleName`	`String`	PeopleName.
`PersonDropboxBcc`	`String`	PersonDropboxBcc.
`PersonId`	`Integer`	PersonId.
`PersonName`	`String`	PersonName.
`ProductId`	`String`	ProductId.
`ProductName`	`String`	ProductName.
`PublicDescription`	`String`	PublicDescription.
`RecActivityId`	`String`	RecActivityId.
`RecRule`	`String`	RecRule.
`RecRuleExtension`	`String`	RecRuleExtension.
`ReferenceId`	`Integer`	ReferenceId.
`ReferenceType`	`String`	ReferenceType.
`RemoteId`	`String`	RemoteId.
`RemoteLocation`	`String`	RemoteLocation.
`S3Bucket`	`String`	S3Bucket.
`Series`	`String`	Series.
`Sourcetimezone`	`String`	Sourcetimezone.
`Subject`	`String`	Subject.
`Type`	`String`	Type.
`UpdateTime`	`Datetime`	UpdateTime.
`UpdateUserId`	`Integer`	UpdateUserId.
`Url`	`String`	Url.
`UserId`	`Integer`	UserId.
`Object`	`String`	Object.
`Timestamp`	`Datetime`	Timestamp.

Pseudo-Columns

Pseudo column fields are used in the WHERE clause of SELECT statements and offer a more granular control over the tuples that are returned from the data source.

Name	Type	Description
`AllChanges`	`String`	Whether to show custom field updates or not. The allowed values are 1.
`Items`	`String`	item specific updates. The allowed values are activity, plannedActivity, note, file, change, deal, follower, participant, mailMessage, mailMessageWithAttachment, invoice, activityFile, document.

OrganizationsUpdatesAttendees

Get details of all attendees of organizations.

Select

The connector will use the Pipedrive API to process WHERE clause conditions built with the following columns and operators. The rest of the filter is executed client side within the connector.

OrgId supports the = operator.
AllChanges supports the = operator.
Items supports the '=,IN' operators.

For example, the following query is processed server side:

SELECT * FROM OrganizationsUpdatesAttendees WHERE OrgId = 246

SELECT * FROM OrganizationsUpdatesAttendees WHERE OrgId = 10 AND AllChanges = 1

SELECT * FROM OrganizationsUpdatesAttendees WHERE OrgId = 10 AND Items IN ('activity', 'plannedActivity')

Columns

Name	Type	Description
`OrgId [KEY]`	`Integer`	Activities ID.
`EmailAddress`	`String`	EmailAddress.
`IsOrganizer`	`Boolean`	IsOrganizer.
`Name`	`String`	Name.
`PersonId`	`Integer`	PersonId.
`Status`	`String`	Status.
`UserId`	`String`	UserId.

Pseudo-Columns

Pseudo column fields are used in the WHERE clause of SELECT statements and offer a more granular control over the tuples that are returned from the data source.

Name	Type	Description
`AllChanges`	`String`	Whether to show custom field updates or not. The allowed values are 1.
`Items`	`String`	item specific updates. The allowed values are activity, plannedActivity, note, file, change, deal, follower, participant, mailMessage, mailMessageWithAttachment, invoice, activityFile, document.

OrganizationsUpdatesParticipants

Getdetails of activities participants.

Select

The connector will use the Pipedrive API to process WHERE clause conditions built with the following columns and operators. The rest of the filter is executed client side within the connector.

OrgId supports the = operator.
AllChanges supports the = operator.
Items supports the '=,IN' operators.

For example, the following query is processed server side:

SELECT * FROM OrganizationsUpdatesParticipants WHERE OrgId = 246

SELECT * FROM OrganizationsUpdatesParticipants WHERE OrgId = 10 AND AllChanges = 1

SELECT * FROM OrganizationsUpdatesParticipants WHERE OrgId = 10 AND Items IN ('activity', 'plannedActivity')

Columns

Name	Type	Description
`OrgId [KEY]`	`Integer`	Activities ID.
`PersonId`	`Integer`	PersonId.
`PrimaryFlag`	`Boolean`	PrimaryFlag.

Pseudo-Columns

Pseudo column fields are used in the WHERE clause of SELECT statements and offer a more granular control over the tuples that are returned from the data source.

Name	Type	Description
`AllChanges`	`String`	Whether to show custom field updates or not. The allowed values are 1.
`Items`	`String`	item specific updates. The allowed values are activity, plannedActivity, note, file, change, deal, follower, participant, mailMessage, mailMessageWithAttachment, invoice, activityFile, document.

PermissionSets

Get all permissions.

Select

The connector will use the Pipedrive API to process WHERE clause conditions built with the following columns and operators. The rest of the filter is executed client side within the connector.

Id supports the = operator.

For example, the following query is processed server side:

SELECT * FROM PermissionSets WHERE ID = 'a3d3f720-154f-11ec-905b-d96b2abf3c60'

Columns

Name	Type	Description
`Id [KEY]`	`String`	ID of the permission set.
`AssignmentCount`	`Integer`	AssignmentCount.
`Name`	`String`	Name.
`Type`	`String`	Type.
`Description`	`String`	Description.
`App`	`String`	App.

PermissionSetsAssignments

.

Columns

Name	Type	Description
`Id [KEY]`	`String`	ID of the permission set Assignments.
`Name`	`String`	Name.
`PermissionSetId`	`String`	PermissionSetId.
`UserId`	`Integer`	UserId.

PersonFieldsOptions

Returns data about all person fields options.

Select

The connector will use the Pipedrive API to process WHERE clause conditions built with the following columns and operators. The rest of the filter is executed client side within the connector.

Id supports the = operator.

For example, the following query is processed server side:

SELECT * FROM PersonFieldsOptions

Columns

Name	Type	Description
`Id [KEY]`	`Integer`	ID of the field.
`Label`	`String`	Label.

PersonsActivities

Get all Persons Activities assigned to a particular Persons.

Select

The connector will use the Pipedrive API to process WHERE clause conditions built with the following columns and operators. The rest of the filter is executed client side within the connector.

PersonId supports the = operator.
Done supports the = operator.
Exclude supports the '=,IN' operators.

For example, the following query is processed server side:

SELECT * FROM PersonsActivities WHERE PersonId = 113

SELECT * FROM PersonsActivities WHERE PersonId = 113 AND Done = 0

SELECT * FROM PersonsActivities WHERE PersonId = 113 AND Exclude IN ('240', '241')

Columns

Name	Type	Description
`Id [KEY]`	`Integer`	Id.
`ActiveFlag`	`Boolean`	Active Flag.
`AddTtime`	`Datetime`	Add Ttime.
`AssignedToUserId`	`Integer`	Assigned To UserId.
`Attendees`	`String`	Attendees.
`BusyFlag`	`Boolean`	BusyFlag.
`IncludeContext`	`String`	Include Context.
`CompanyId`	`Integer`	Company Id.
`MeetingClient`	`String`	Meeting Client.
`MeetingId`	`String`	Meeting Id.
`MeetingUrl`	`String`	Meeting Url.
`CreatedByUserId`	`Integer`	CreatedBy UserId.
`DealDropboxBcc`	`String`	Deal Dropbox Bcc.
`DealId`	`Integer`	Deal Id.
`DealTitle`	`String`	Deal Title.
`Done`	`Boolean`	Whether the activity is done or not 0 = Not done, 1 = Done If omitted returns both Done and Not done activities. The allowed values are 0, 1.
`DueDate`	`Date`	Due Date.
`DueTime`	`Time`	Due Time.
`Duration`	`Time`	Duration.
`FileCleanName`	`String`	FileCleanName.
`FileId`	`String`	FileId.
`FileUrl`	`String`	FileUrl.
`EventId`	`String`	eventId.
`CalendarEtag`	`String`	CalendarEtag.
`CalendarId`	`String`	Calendar Id.
`NotificationTime`	`Datetime`	Notification Time.
`NotificationUserId`	`Integer`	Notification UserId.
`LeadId`	`String`	Lead Id.
`Location`	`String`	Location.
`AreaLevel1`	`String`	AreaLevel1.
`AreaLevel2`	`String`	AreaLevel2.
`Country`	`String`	Country.
`FormattedAddress`	`String`	FormattedAddress.
`Lat`	`Double`	Lat.
`Locality`	`String`	Locality.
`Long`	`Double`	Long.
`PostalCode`	`String`	PostalCode.
`Route`	`String`	Route.
`StreetNumber`	`String`	StreetNumber.
`Sublocality`	`String`	Sublocality.
`Subpremise`	`String`	Subpremise.
`MarkedAsDoneTime`	`Datetime`	MarkedAsDoneTime.
`Note`	`String`	Note.
`NotificationLanguageId`	`Integer`	NotificationLanguageId.
`OrgId`	`Integer`	OrgId.
`OrgName`	`String`	OrgName.
`OwnerName`	`String`	OwnerName.
`Participants`	`String`	Participants.
`PersonDropboxBcc`	`String`	Person Dropbox Bcc.
`PersonId`	`Integer`	PersonId.
`PersonName`	`String`	PersonName.
`PublicDescription`	`String`	PublicDescription.
`MasterActivityId`	`String`	MasterActivityId.
`Rule`	`String`	Rule.
`RuleExtension`	`String`	RuleExtension.
`ReferenceId`	`Integer`	ReferenceId.
`ReferenceType`	`String`	ReferenceType.
`Series`	`String`	Series.
`SourceTimezone`	`String`	SourceTimezone.
`Subject`	`String`	Subject.
`Type`	`String`	Type.
`UpdateTime`	`Datetime`	UpdateTime..
`UpdateUserId`	`Integer`	UpdateUserId..
`UserId`	`Integer`	UserId..

Pseudo-Columns

Pseudo column fields are used in the WHERE clause of SELECT statements and offer a more granular control over the tuples that are returned from the data source.

Name	Type	Description
`Exclude`	`String`	A comma-separated string of activity IDs to exclude from result..

PersonsActivitiesAttendees

Get Details of Persons Activities Attendees.

Select

The connector will use the Pipedrive API to process WHERE clause conditions built with the following columns and operators. The rest of the filter is executed client side within the connector.

PersonId supports the = operator.
Done supports the = operator.
Exclude supports the '=,IN' operators.

For example, the following query is processed server side:

SELECT * FROM PersonsActivitiesAttendees WHERE PersonId = 113

SELECT * FROM PersonsActivitiesAttendees WHERE PersonId = 113 AND Done = 0

SELECT * FROM PersonsActivitiesAttendees WHERE PersonId = 113 AND Exclude IN ('240', '241')

Columns

Name	Type	Description
`PersonId [KEY]`	`Integer`	PersonId.
`EmailAddress`	`String`	EmailAddress.
`IsOrganizer`	`Integer`	IsOrganizer.
`Name`	`String`	Name.
`Status`	`String`	Status.
`UserId`	`String`	UserId.

Pseudo-Columns

Pseudo column fields are used in the WHERE clause of SELECT statements and offer a more granular control over the tuples that are returned from the data source.

Name	Type	Description
`Done`	`Boolean`	Whether the activity is done or not 0 = Not done, 1 = Done If omitted returns both Done and Not done activities. The allowed values are 0, 1.
`Exclude`	`String`	A comma-separated string of activity IDs to exclude from result.

PersonsActivitiesParticipants

Get details of Persons activities participants.

Select

The connector will use the Pipedrive API to process WHERE clause conditions built with the following columns and operators. The rest of the filter is executed client side within the connector.

PersonId supports the = operator.
Done supports the = operator.
Exclude supports the '=,IN' operators.

For example, the following query is processed server side:

SELECT * FROM PersonsActivitiesParticipants WHERE PersonId = 113

SELECT * FROM PersonsActivitiesParticipants WHERE PersonId = 113 AND Done = 0

SELECT * FROM PersonsActivitiesParticipants WHERE PersonId = 113 AND Exclude IN ('240', '241')

Columns

Name	Type	Description
`PersonId [KEY]`	`Integer`	PersonId.
`PrimaryFlag`	`Boolean`	PrimaryFlag.

Pseudo-Columns

Pseudo column fields are used in the WHERE clause of SELECT statements and offer a more granular control over the tuples that are returned from the data source.

Name	Type	Description
`Done`	`Boolean`	Whether the activity is done or not 0 = Not done, 1 = Done If omitted returns both Done and Not done activities. The allowed values are 0, 1.
`Exclude`	`String`	A comma-separated string of activity IDs to exclude from result.

PersonsDeals

Get details of Persons deals.

Select

The connector will use the Pipedrive API to process WHERE clause conditions built with the following columns and operators. The rest of the filter is executed client side within the connector.

Id supports the = operator.
Status supports the = operator.

For example, the following query is processed server side:

SELECT * FROM PersonsDeals WHERE Id = 246

SELECT * FROM PersonsDeals WHERE Id = 246 AND Status = 'open'

Columns

Name	Type	Description
`Id [KEY]`	`Integer`	Id.
`Active`	`Boolean`	Active.
`ActivitiesCount`	`Integer`	ActivitiesCount.
`AddTime`	`Datetime`	AddTime.
`CcEmail`	`String`	CcEmail.
`CloseTime`	`String`	CloseTime.
`CreatoractiveFlag`	`Boolean`	CreatoractiveFlag.
`Creatoremail`	`String`	Creatoremail.
`CreatorhasPic`	`Boolean`	CreatorhasPic.
`Creatorid`	`Integer`	Creatorid.
`Creatorname`	`String`	Creatorname.
`CreatorPicHash`	`String`	CreatorPicHash.
`Creatorvalue`	`Integer`	Creatorvalue.
`Currency`	`String`	Currency.
`Deleted`	`Boolean`	Deleted.
`DoneActivitiesCount`	`Integer`	DoneActivitiesCount.
`EmailMessagesCount`	`Integer`	EmailMessagesCount.
`ExpectedCloseDate`	`Date`	ExpectedCloseDate.
`FilesCount`	`Integer`	FilesCount.
`FirstWonTime`	`Datetime`	FirstWonTime.
`FollowersCount`	`Integer`	FollowersCount.
`FormattedValue`	`String`	FormattedValue.
`FormattedWeightedValue`	`String`	FormattedWeightedValue.
`Label`	`String`	Label.
`LastActivityDate`	`String`	LastActivityDate.
`LastActivityId`	`String`	LastActivityId.
`LastIncomingMailTime`	`Datetime`	LastIncomingMailTime.
`LastOutgoingMailTime`	`Datetime`	LastOutgoingMailTime.
`LostReason`	`String`	LostReason.
`LostTime`	`String`	LostTime.
`NextActivityDate`	`Date`	NextActivityDate.
`NextActivityDuration`	`Time`	NextActivityDuration.
`NextActivityId`	`Integer`	NextActivityId.
`NextActivitynote`	`String`	NextActivitynote.
`NextActivitysubject`	`String`	NextActivitysubject.
`NextActivitytime`	`Time`	NextActivitytime.
`NextActivitytype`	`String`	NextActivitytype.
`NotesCount`	`Integer`	NotesCount.
`OrgHidden`	`Boolean`	OrgHidden.
`OrgActive_flag`	`Boolean`	OrgActive_flag.
`OrgAddress`	`String`	OrgAddress.
`OrgCcEmail`	`String`	OrgCcEmail.
`OrgIdName`	`String`	OrgName.
`OrgOwnerId`	`Integer`	OrgOwnerId.
`OrgPeopleCount`	`Integer`	OrgPeopleCount.
`OrgValue`	`Integer`	OrgValue.
`OwnerName`	`String`	OwnerName.
`ParticipantsCount`	`Integer`	ParticipantsCount.
`PersonHidden`	`Boolean`	PersonHidden.
`PersonActiveFlag`	`Boolean`	PersonActiveFlag.
`PersonEmail`	`String`	PersonEmail.
`PersonIdName`	`String`	PersonName.
`PersonPhone`	`String`	PersonPhone.
`PersonValue`	`Integer`	PersonValue.
`PipelineId`	`Integer`	PipelineId.
`Probability`	`String`	Probability.
`ProductsCount`	`Integer`	ProductsCount.
`RottenTime`	`String`	RottenTime.
`StageChangeTime`	`Datetime`	StageChangeTime.
`StageId`	`Integer`	StageId.
`StageOrderNr`	`Integer`	StageOrderNr.
`Status`	`String`	Only fetch deals with specific status. The allowed values are open, won, lost, deleted, all_not_deleted. The default value is all_not_deleted.
`Title`	`String`	Title.
`UndoneActivitiesCount`	`Integer`	UndoneActivitiesCount.
`UpdateTime`	`Datetime`	UpdateTime.
`UserActiveFlag`	`Boolean`	UserActiveFlag.
`UserEmail`	`String`	UserEmail.
`UserHasPic`	`Boolean`	UserHasPic.
`UserId`	`Integer`	UserId.
`UserName`	`String`	UserName.
`UserPicHash`	`String`	UserPicHash.
`UserValue`	`Integer`	UserValue.
`Value`	`Integer`	Value.
`VisibleTo`	`String`	VisibleTo.
`WeightedValue`	`Integer`	WeightedValue.
`WeightedValueCurrency`	`String`	WeightedValueCurrency.
`WonTime`	`Datetime`	WonTime.
`PersonName`	`String`	Person Name.
`OrgName`	`String`	Org Name.

PersonsDealsEmail

Get details of Persons deals email.

Select

The connector will use the Pipedrive API to process WHERE clause conditions built with the following columns and operators. The rest of the filter is executed client side within the connector.

PersonsDealsId supports the = operator.

For example, the following query is processed server side:

SELECT * FROM PersonsDealsEmail
SELECT * FROM PersonsDealsEmail WHERE PersonsDealsId = 2

Columns

Name	Type	Description
`PersonsDealsId [KEY]`	`Integer`	Id.
`Label`	`String`	Label.
`Value`	`String`	Value.
`Primary`	`Boolean`	Primary.

PersonsDealsPhone

Get details of Persons deals phone.

Select

The connector will use the Pipedrive API to process WHERE clause conditions built with the following columns and operators. The rest of the filter is executed client side within the connector.

PersonsDealsId supports the = operator.

For example, the following query is processed server side:

SELECT * FROM PersonsDealsPhone
SELECT * FROM PersonsDealsPhone WHERE PersonsDealsId = 2

Columns

Name	Type	Description
`PersonsDealsId [KEY]`	`Integer`	Id.
`Label`	`String`	Label.
`Value`	`String`	Value.
`Primary`	`Boolean`	Primary.

PersonsEmails

Get all emails asscociated with persons.

Columns

Name	Type	Description
`PersonId`	`Integer`	Persons Id.
`label`	`String`	Label.
`Value`	`String`	Value.
`Primary`	`Boolean`	Primary.

Pseudo-Columns

Pseudo column fields are used in the WHERE clause of SELECT statements and offer a more granular control over the tuples that are returned from the data source.

Name	Type	Description
`FirstChar`	`String`	If supplied, only persons whose name starts with the specified letter will be returned.
`FilterId`	`Integer`	Filter Id.
`UserId`	`Integer`	User Id.

PersonsFiles

Get details of Persons file.

Select

The connector will use the Pipedrive API to process WHERE clause conditions built with the following columns and operators. The rest of the filter is executed client side within the connector.

PersonId supports the = operator.

For example, the following query is processed server side:

SELECT * FROM PersonsFiles WHERE PersonId = 6

Columns

Name	Type	Description
`Id [KEY]`	`Integer`	Id of the files.
`ActiveFlag`	`Boolean`	Active Flag.
`ActivityId`	`String`	Activity Id.
`AddTime`	`Datetime`	AddTime.
`Cid`	`String`	Cid.
`DealId`	`String`	Deal Id.
`DealName`	`String`	DealName.
`Description`	`String`	Description.
`FileName`	`String`	File Name.
`FileSize`	`Integer`	File Size.
`FileType`	`String`	File Type.
`InlineFlag`	`Boolean`	Inline Flag.
`LogId`	`String`	Log Id.
`MailMessageId`	`String`	MailMessage Id.
`MailTemplateId`	`String`	MailTemplate Id.
`Name`	`String`	Name.
`OrgId`	`Integer`	Org Id.
`OrgName`	`String`	Org Name.
`PeopleName`	`String`	People Name.
`PersonId`	`String`	PersonId.
`PersonName`	`String`	Person Name.
`ProductId`	`String`	Produc tId.
`ProductName`	`String`	Product Name.
`RemoteId`	`String`	Remote Id.
`RemoteLocation`	`String`	Remote Location.
`S3Bucket`	`String`	S3Bucket.
`UpdateTime`	`Datetime`	Update Time.
`Url`	`String`	Url.
`UserId`	`Integer`	UserId.
`LeadId`	`String`	LeadId.
`LeadName`	`String`	LeadName.

PersonsMailMessages

Get details of organizations mail Messages.

Select

The connector will use the Pipedrive API to process WHERE clause conditions built with the following columns and operators. The rest of the filter is executed client side within the connector.

PersonId supports the = operator.

For example, the following query is processed server side:

SELECT * FROM PersonsMailMessages WHERE PersonId = 246

Columns

Name	Type	Description
`Id [KEY]`	`Integer`	Id.
`PersonId`	`Integer`	Persons Id.
`AccountId`	`String`	AccountId.
`AddTime`	`Datetime`	addTime.
`Bcc`	`String`	Bcc.
`BodyUrl`	`String`	bodyUrl.
`Cc`	`String`	cc.
`CompanyId`	`Integer`	companyId.
`DeletedFlag`	`Boolean`	DeletedFlag.
`Draft`	`String`	Draft.
`DraftFlag`	`Boolean`	DraftFlag.
`ExternalDeletedFlag`	`Boolean`	ExternalDeletedFlag.
`From`	`String`	From.
`AttachmentsFlag`	`Boolean`	AttachmentsFlag.
`BodyFlag`	`Boolean`	BodyFlag.
`InlineAttachmentsFlag`	`Boolean`	InlineAttachmentsFlag.
`RealAttachmentsFlag`	`Boolean`	RealAttachmentsFlag.
`ItemType`	`String`	ItemType.
`TrackingEnabledFlag`	`Boolean`	TrackingEnabledFlag.
`ThreadId`	`Integer`	ThreadId.
`TrackingStatus`	`String`	TrackingStatus.
`MessageTime`	`String`	MessageTime.
`MessageId`	`String`	MessageId.
`NylasId`	`String`	NylasId.
`ReadFlag`	`Boolean`	ReadFlag.
`S3Bucket`	`String`	S3Bucket.
`S3BucketPath`	`String`	S3BucketPath.
`SentFlag`	`Boolean`	SentFlag.
`SentFromPipedriveFlag`	`Boolean`	SentFromPipedriveFlag.
`SmartBccFlag`	`Boolean`	SmartBccFlag.
`Snippet`	`String`	Snippet.
`Subject`	`String`	Subject.
`SyncedFlag`	`Boolean`	SyncedFlag.
`TemplateId`	`String`	TemplateId.
`Timestamp`	`Datetime`	Timestamp.
`To`	`String`	To.
`UpdateTime`	`Datetime`	UpdateTime.
`UserId`	`Integer`	UserId.
`WriteFlag`	`Boolean`	writeFlag.
`Object`	`String`	Object.

PersonsMailMessagesBcc

Get details of Persons mail Messages.

Select

The connector will use the Pipedrive API to process WHERE clause conditions built with the following columns and operators. The rest of the filter is executed client side within the connector.

PersonId supports the = operator.

For example, the following query is processed server side:

SELECT * FROM PersonsMailMessagesBcc WHERE PersonId = 246

Columns

Name	Type	Description
`Id [KEY]`	`Integer`	Id.
`EmailAddress`	`String`	EmailAddress.
`PersonId`	`String`	PersonId.
`PersonName`	`String`	PersonName.
`MessagePartyId`	`Integer`	MessagePartyId.
`Name`	`String`	Name.

PersonsMailMessagesCc

Get details of persons mail Messages.

Select

The connector will use the Pipedrive API to process WHERE clause conditions built with the following columns and operators. The rest of the filter is executed client side within the connector.

PersonId supports the = operator.

For example, the following query is processed server side:

SELECT * FROM PersonsMailMessagesCc WHERE PersonId = 246

Columns

Name	Type	Description
`Id [KEY]`	`Integer`	Id.
`EmailAddress`	`String`	EmailAddress.
`PersonId`	`String`	PersonId.
`PersonName`	`String`	PersonName.
`MessagePartyId`	`Integer`	MessagePartyId.
`Name`	`String`	Name.

PersonsMailMessagesFrom

Get details of persons mail Messages.

Select

The connector will use the Pipedrive API to process WHERE clause conditions built with the following columns and operators. The rest of the filter is executed client side within the connector.

PersonId supports the = operator.

For example, the following query is processed server side:

SELECT * FROM PersonsMailMessagesFrom WHERE PersonId = 246

Columns

Name	Type	Description
`Id [KEY]`	`Integer`	Id.
`EmailAddress`	`String`	EmailAddress.
`PersonId`	`String`	PersonId.
`PersonName`	`String`	PersonName.
`MessagePartyId`	`Integer`	MessagePartyId.
`Name`	`String`	Name.

PersonsMailMessagesTo

Get details of Persons mail Messages.

Select

The connector will use the Pipedrive API to process WHERE clause conditions built with the following columns and operators. The rest of the filter is executed client side within the connector.

PersonId supports the = operator.

For example, the following query is processed server side:

SELECT * FROM PersonsMailMessagesTo WHERE PersonId = 246

Columns

Name	Type	Description
`Id [KEY]`	`Integer`	Id.
`EmailAddress`	`String`	EmailAddress.
`PersonId`	`String`	PersonId.
`PersonName`	`String`	PersonName.
`MessagePartyId`	`Integer`	MessagePartyId.
`Name`	`String`	Name.

PersonsPermittedUsers

Get details of permitted users of persons.

Select

The connector will use the Pipedrive API to process WHERE clause conditions built with the following columns and operators. The rest of the filter is executed client side within the connector.

PersonId supports the = operator.

For example, the following query is processed server side:

SELECT * FROM PersonsPermittedUsers WHERE PersonId = 6

Columns

Name	Type	Description
`PersonId`	`Integer`	Persons Id.
`Data`	`String`	Users permitted to access an organization.

PersonsPhone

Get all phone asscociated with persons.

Select

The connector will use the Pipedrive API to process WHERE clause conditions built with the following columns and operators. The rest of the filter is executed client side within the connector.

PersonId supports the = operator.
FirstChar supports the LIKE operator.
Phone supports the LIKE operator.
FilterId supports the = operator.
UserId supports the = operator.

For example, the following query is processed server side:

SELECT * FROM PersonsPhone WHERE PersonId = 14

SELECT * FROM PersonsPhone WHERE FirstChar = 'c'

SELECT * FROM PersonsPhone WHERE FilterId = 1

SELECT * FROM PersonsPhone WHERE UserId = 1

Columns

Name	Type	Description
`PersonId`	`Integer`	Persons ID.
`label`	`String`	Label.
`Value`	`String`	Value.
`Primary`	`Boolean`	Primary.

Pseudo-Columns

Pseudo column fields are used in the WHERE clause of SELECT statements and offer a more granular control over the tuples that are returned from the data source.

Name	Type	Description
`FirstChar`	`String`	If supplied, only persons whose name starts with the specified letter will be returned.
`FilterId`	`Integer`	Filter Id.
`UserId`	`Integer`	User Id.

PersonsProducts

Get details of Persons Products.

Select

The connector will use the Pipedrive API to process WHERE clause conditions built with the following columns and operators. The rest of the filter is executed client side within the connector.

DealPersonId supports the = operator.

For example, the following query is processed server side:

SELECT * FROM PersonsProducts WHERE DealPersonId = 113

Columns

Name	Type	Description
`ProductId [KEY]`	`Integer`	ProductId.
`DealActive`	`Boolean`	DealActive.
`DealActivitiesCount`	`Integer`	DealActivitiesCount.
`DealAddTime`	`Datetime`	DealAddTime.
`DealCloseTime`	`String`	DealCloseTime.
`DealCompanyId`	`Integer`	DealCompanyId.
`DealCreatorUserId`	`Integer`	DealCreatorUserId.
`DealCurrency`	`String`	DealCurrency.
`DealDeleted`	`Boolean`	DealDeleted.
`DealDoneActivitiesCount`	`Integer`	DealDoneActivitiesCount.
`DealEmailMessagesCount`	`Integer`	DealEmailMessagesCount.
`DealExpectedCloseDate`	`String`	DealExpectedCloseDate.
`DealFilesCount`	`Integer`	DealFilesCount.
`DealFirstAddtime`	`Datetime`	DealFirstAddtime.
`DealFirstWonTime`	`String`	DealFirstWonTime.
`DealFollowersCount`	`Integer`	DealFollowersCount.
`DealId`	`Integer`	DealId.
`DealLabel`	`String`	DealLabel.
`DealLastActivityDate`	`String`	DealLastActivityDate.
`DealLastActivityId`	`String`	DealLastActivityId.
`DealLastIncomingMailTime`	`Datetime`	DealLastIncomingMailTime.
`DealLastOutgoingMailTime`	`Datetime`	DealLastOutgoingMailTime.
`DealLostReason`	`String`	DealLostReason.
`DealLostTime`	`String`	DealLostTime.
`DealNextActivityDate`	`Date`	DealNextActivityDate.
`DealNextActivityId`	`Integer`	DealNextActivityId.
`DealNextActivityTime`	`String`	DealNextActivityTime.
`DealNotesCount`	`Integer`	DealNotesCount.
`DealOrgId`	`Integer`	DealOrgId.
`DealParticipantsCount`	`Integer`	DealParticipantsCount.
`DealPersonId`	`Integer`	persons Id.
`DealPipelineId`	`Integer`	DealPipelineId.
`DealProbability`	`String`	DealProbability.
`DealProductsCount`	`Integer`	DealProductsCount.
`DealStageChangetime`	`Datetime`	DealStageChangetime.
`DealStageId`	`Integer`	DealStageId.
`DealStatus`	`String`	DealStatus.
`DealTitle`	`String`	DealTitle.
`UndoneActivitiescount`	`Integer`	UndoneActivitiescount.
`DealUpdateTime`	`Datetime`	DealUpdateTime.
`DealUserId`	`Integer`	DealUserId.
`DealValue`	`Double`	DealValue.
`DealVisibleTo`	`String`	DealVisibleTo.
`DealWonTime`	`String`	DealWonTime.
`ProductActiveFlag`	`Boolean`	ProductActiveFlag.
`ProductAddTime`	`Datetime`	ProductAddTime.
`ProductCategory`	`String`	ProductCategory.
`ProductCode`	`String`	ProductCode.
`ProductCompanyId`	`Integer`	ProductCompanyId.
`ProductDealId`	`Integer`	ProductDealId.
`ProductDescription`	`String`	ProductDescription.
`ProductFilesCount`	`String`	ProductFilesCount.
`ProductFirstChar`	`String`	ProductFirstChar.
`ProductFollowersCount`	`Integer`	ProductFollowersCount.
`ProductName`	`String`	ProductName.
`ProductOwnerId`	`Integer`	ProductOwnerId.
`ProductSelectable`	`Boolean`	ProductSelectable.
`ProductTax`	`Integer`	ProductTax.
`ProductUnit`	`String`	ProductUnit.
`ProductUpdateTime`	`Datetime`	ProductUpdateTime.
`ProductVisibleTo`	`String`	ProductVisibleTo.

PersonsUpdates

Get details of persons updates.

Select

The connector will use the Pipedrive API to process WHERE clause conditions built with the following columns and operators. The rest of the filter is executed client side within the connector.

PersonId supports the = operator.
AllChanges supports the = operator.
Items supports the '=,IN' operators.

For example, the following query is processed server side:

SELECT * FROM PersonsUpdates WHERE PersonId = 246

SELECT * FROM PersonsUpdates WHERE PersonId = 10 AND AllChanges = 1

SELECT * FROM PersonsUpdates WHERE PersonId = 10 AND Items IN ('activity', 'plannedActivity')

Columns

Name	Type	Description
`Id [KEY]`	`Integer`	Id.
`ActiveFlag`	`Boolean`	ActiveFlag.
`AddTime`	`Datetime`	AddTime.
`NewValueFormatted`	`String`	NewValueFormatted.
`AssignedToUserId`	`Integer`	AssignedToUserId.
`Attendees`	`String`	Attendees.
`BusyFlag`	`Boolean`	BusyFlag.
`SyncIncludecontext`	`String`	SyncIncludecontext.
`changeSource`	`String`	changeSource.
`UserAgent`	`String`	UserAgent.
`CompanyId`	`Integer`	CompanyId.
`MeetingClient`	`String`	MeetingClient.
`MeetingId`	`String`	MeetingId.
`MeetingUrl`	`String`	MeetingUrl.
`CreatedByUserId`	`Integer`	CreatedByUserId.
`DealDropboxBcc`	`String`	DealDropboxBcc.
`DealId`	`Integer`	DealId.
`DealTitle`	`String`	DealTitle.
`Done`	`Boolean`	Done.
`DueDate`	`Date`	DueDate.
`DueTime`	`Time`	DueTime.
`Duration`	`Time`	Duration.
`FieldKey`	`String`	FieldKey.
`Fileclean_name`	`String`	Fileclean_name.
`FileId`	`String`	FileId.
`FileUrl`	`String`	FileUrl.
`GcaleventId`	`String`	GcaleventId.
`GoogleCalendarEtag`	`String`	GoogleCalendarEtag.
`GoogleCalendarId`	`String`	GoogleCalendarId.
`IsBulkUpdateFlag`	`String`	IsBulkUpdateFlag.
`ItemId`	`Integer`	ItemId.
`NotificationTime`	`Datetime`	NotificationTime.
`NotificationUserId`	`Integer`	NotificationUserId.
`LeadId`	`String`	LeadId.
`Location`	`String`	Location.
`AdminAreaLevel1`	`String`	AdminAreaLevel1.
`AdminAreaLevel2`	`String`	AdminAreaLevel2.
`Country`	`String`	Country.
`FormattedAddress`	`String`	FormattedAddress.
`Lat`	`Double`	Lat.
`Locality`	`String`	Locality.
`Long`	`Double`	Long.
`PostalCode`	`String`	PostalCode.
`Route`	`String`	Route.
`StreetNumber`	`String`	StreetNumber.
`Sublocality`	`String`	Sublocality.
`Subpremise`	`String`	Subpremise.
`LogTime`	`Datetime`	LogTime.
`MarkedAsDoneTime`	`Datetime`	MarkedAsDoneTime.
`NewValue`	`String`	NewValue.
`Note`	`String`	Note.
`LanguageId`	`Integer`	LanguageId.
`OldValue`	`String`	OldValue.
`OrgId`	`Integer`	Organizations Id.
`OrgName`	`String`	Organizations Name.
`OwnerName`	`String`	Owner Name.
`Participants`	`String`	Participants.
`PersonDropboxBcc`	`String`	Person Dropbox Bcc.
`PersonId`	`Integer`	Persons Id.
`PersonName`	`String`	PersonName.
`Publicdescription`	`String`	Publicdescription.
`RecMasterActivityId`	`String`	RecMasterActivityId.
`RecRule`	`String`	RecRule.
`RecRuleExtension`	`String`	RecRuleExtension.
`ReferenceId`	`Integer`	ReferenceId.
`ReferenceType`	`String`	ReferenceType.
`Series`	`String`	Series.
`SourceTimezone`	`String`	SourceTimezone.
`Subject`	`String`	Subject.
`Type`	`String`	Type.
`UpdateTime`	`Datetime`	UpdateTime.
`UpdateUserId`	`Integer`	UpdateUserId.
`UserId`	`Integer`	UserId.
`Object`	`String`	Object.
`Timestamp`	`Datetime`	Timestamp.

Pseudo-Columns

Pseudo column fields are used in the WHERE clause of SELECT statements and offer a more granular control over the tuples that are returned from the data source.

Name	Type	Description
`AllChanges`	`String`	Whether to show custom field updates or not. The allowed values are 1.
`Items`	`String`	item specific updates. The allowed values are activity, plannedActivity, note, file, change, deal, follower, participant, mailMessage, mailMessageWithAttachment, invoice, activityFile, document.

PersonsUpdatesAttendees

Get details of Deals Activities Attendees.

Select

The connector will use the Pipedrive API to process WHERE clause conditions built with the following columns and operators. The rest of the filter is executed client side within the connector.

PersonId supports the = operator.
AllChanges supports the = operator.
Items supports the '=,IN' operators.

For example, the following query is processed server side:

SELECT * FROM PersonsUpdatesAttendees WHERE PersonId = 246

SELECT * FROM PersonsUpdatesAttendees WHERE PersonId = 10 AND AllChanges = 1

SELECT * FROM PersonsUpdatesAttendees WHERE PersonId = 10 AND Items IN ('activity', 'plannedActivity')

Columns

Name	Type	Description
`PersonId [KEY]`	`Integer`	PersonId.
`EmailAddress`	`String`	EmailAddress.
`IsOrganizer`	`Integer`	IsOrganizer.
`Name`	`String`	Name.
`Status`	`String`	Status.
`UserId`	`String`	UserId.

Pseudo-Columns

Pseudo column fields are used in the WHERE clause of SELECT statements and offer a more granular control over the tuples that are returned from the data source.

Name	Type	Description
`AllChanges`	`String`	Whether to show custom field updates or not. The allowed values are 1.
`Items`	`String`	Item specific updates. The allowed values are activity, plannedActivity, note, file, change, deal, follower, participant, mailMessage, mailMessageWithAttachment, invoice, activityFile, document.

PersonsUpdatesParticipants

Get details of activities participants

Select

The connector will use the Pipedrive API to process WHERE clause conditions built with the following columns and operators. The rest of the filter is executed client side within the connector.

PersonId supports the = operator.
AllChanges supports the = operator.
Items supports the '=,IN' operators.

For example, the following query is processed server side:

SELECT * FROM PersonsUpdatesParticipants WHERE PersonId = 10

SELECT * FROM PersonsUpdatesParticipants WHERE PersonId = 10 AND AllChanges = 1

SELECT * FROM PersonsUpdatesParticipants WHERE PersonId = 10 AND Items IN ('activity', 'plannedActivity')

Columns

Name	Type	Description
`PersonId [KEY]`	`Integer`	PersonId.
`PrimaryFlag`	`Boolean`	PrimaryFlag.

Pseudo-Columns

Pseudo column fields are used in the WHERE clause of SELECT statements and offer a more granular control over the tuples that are returned from the data source.

Name	Type	Description
`AllChanges`	`String`	Whether to show custom field updates or not The allowed values are 1.
`Items`	`String`	item specific updates The allowed values are activity, plannedActivity, note, file, change, deal, follower, participant, mailMessage, mailMessageWithAttachment, invoice, activityFile, document.

PipelineDeals

Lists deals in a specific pipeline across all its stages.

Select

The connector will use the Pipedrive API to process WHERE clause conditions built with the following columns and operators. The rest of the filter is executed client side within the connector.

Id supports the = operator.
PipelineId supports the = operator.

For example, the following query is processed server side:

SELECT * FROM PipelineDeals WHERE PipelineId = 4

Columns

Name	Type	Description
`Id [KEY]`	`Integer`	ID of the pipeline.
`Active`	`Boolean`	Active.
`ActivitiesCount`	`Integer`	ActivitiesCount.
`AddTime`	`Datetime`	AddTime.
`CcEmail`	`String`	CcEmail.
`CloseTime`	`String`	CloseTime.
`CreatorUserId`	`Integer`	CreatorUserId.
`Currency`	`String`	Currency.
`Deleted`	`Boolean`	Deleted.
`DoneActivitiesCount`	`Integer`	DoneActivitiesCount.
`EmailMessagesCount`	`Integer`	EmailMessagesCount.
`ExpectedCloseDate`	`Date`	ExpectedCloseDate.
`FilesCount`	`Integer`	FilesCount.
`FirstWonTime`	`Datetime`	FirstWonTime.
`FollowersCount`	`Integer`	FollowersCount.
`FormattedValue`	`String`	FormattedValue.
`FormattedWeightedValue`	`String`	FormattedWeightedValue.
`Label`	`String`	Label.
`LastActivityDate`	`String`	LastActivityDate.
`LastActivityId`	`String`	LastActivityId.
`LastIncomingMailTime`	`Datetime`	LastIncomingMailTime.
`LastOutgoingMailTime`	`Datetime`	LastOutgoingMailTime.
`LostReason`	`String`	LostReason.
`LostTime`	`String`	LostTime.
`NextActivityDate`	`Date`	NextActivityDate.
`NextActivityDuration`	`Time`	NextActivityDuration.
`NextActivityId`	`Integer`	NextActivityId.
`NextActivityNote`	`String`	NextActivityNote.
`NextActivitySubject`	`String`	NextActivitySubject.
`NextActivityTime`	`Time`	NextActivityTime.
`NextActivityType`	`String`	NextActivityType.
`NotesCount`	`Integer`	NotesCount.
`OrgHidden`	`Boolean`	OrgHidden.
`OrgId`	`Integer`	OrgId.
`OrgName`	`String`	OrgName.
`OwnerName`	`String`	OwnerName.
`ParticipantsCount`	`Integer`	ParticipantsCount.
`PersonHidden`	`Boolean`	PersonHidden.
`PersonId`	`Integer`	PersonId.
`PersonName`	`String`	PersonName.
`PipelineId`	`Integer`	PipelineId.
`Probability`	`String`	Probability.
`ProductsCount`	`Integer`	ProductsCount.
`RottenTime`	`String`	RottenTime.
`StageChangeTime`	`Datetime`	StageChangeTime.
`StageId`	`Integer`	If supplied, only deals within the given stage will be returned.
`StageOrderNr`	`Integer`	StageOrderNr.
`Status`	`String`	Status.
`Title`	`String`	Title.
`UndoneActivitiesCount`	`Integer`	UndoneActivitiesCount.
`UpdateTime`	`Datetime`	UpdateTime.
`UserId`	`Integer`	UserId.
`Value`	`Integer`	Value.
`VisibleTo`	`String`	VisibleTo.
`WeightedValue`	`Integer`	WeightedValue.
`WeightedValueCurrency`	`String`	WeightedValueCurrency.
`WonTime`	`Datetime`	WonTime.

Pseudo-Columns

Pseudo column fields are used in the WHERE clause of SELECT statements and offer a more granular control over the tuples that are returned from the data source.

Name	Type	Description
`FilterId`	`Integer`	If supplied, only deals matching the given filter will be returned.

PipelineDealsConversionRates

Returns statistics for deals movements for given time period.

Select

The connector will use the Pipedrive API to process WHERE clause conditions built with the following columns and operators. The rest of the filter is executed client side within the connector.

PipelineId supports the = operator.

For example, the following query is processed server side:

SELECT * FROM PipelineDealsConversionRates WHERE PipelineId = 4

Columns

Name	Type	Description
`PipelineId`	`Integer`	ID of the pipeline.
`LostConversion`	`Integer`	LostConversion.
`StageConversions`	`String`	StageConversions.
`WonConversion`	`Integer`	WonConversion.

Pseudo-Columns

Pseudo column fields are used in the WHERE clause of SELECT statements and offer a more granular control over the tuples that are returned from the data source.

Name	Type	Description
`UserId`	`Integer`	ID of the user who's pipeline statistics to fetch.
`StartDate`	`Datetime`	Start of the period.
`EndDate`	`Datetime`	End of the period.

PipelineDealsMovements

Returns statistics for deals movements for given time period.

Select

The connector will use the Pipedrive API to process WHERE clause conditions built with the following columns and operators. The rest of the filter is executed client side within the connector.

PipelineId supports the = operator.

For example, the following query is processed server side:

SELECT * FROM PipeLineDealsMovements WHERE PipelineId = 4

Columns

Name	Type	Description
`PipelineId`	`Integer`	ID of the pipeline.
`AverageAgeInDaysAcrossAllStages`	`Integer`	AverageAgeInDaysAcrossAllStages.
`AverageAgeInDaysByStages`	`String`	AverageAgeInDaysByStages.
`DealsLeftOpenCount`	`Integer`	DealsLeftOpenCount.
`DealsLeftOpenDealsIds`	`String`	DealsLeftOpenDealsIds.
`DealsLeftOpenFormattedValuesUSD`	`String`	DealsLeftOpenFormattedValuesUSD.
`DealsLeftOpenValuesUSD`	`Integer`	DealsLeftOpenValuesUSD.
`LostDealsCount`	`Integer`	LostDealsCount.
`LostDealsDealsIds`	`String`	LostDealsDealsIds.
`LostDealsFormattedValuesUSD`	`String`	LostDealsFormattedValuesUSD.
`LostDealsValuesUSD`	`Integer`	LostDealsValuesUSD.
`MovementsBetweenStagesCount`	`Integer`	MovementsBetweenStagesCount.
`NewDealsCount`	`Integer`	NewDealsCount.
`NewDealsDealsIds`	`String`	NewDealsDealsIds.
`NewDealsFormattedValuesUSD`	`String`	NewDealsFormattedValuesUSD.
`NewDealsValuesUSD`	`Integer`	NewDealsValuesUSD.
`WonDealsCount`	`Integer`	WonDealsCount.
`WonDealsDealsIds`	`String`	WonDealsDealsIds.
`WonDealsFormattedValuesUSD`	`String`	WonDealsFormattedValuesUSD.
`WonDealsValuesUSD`	`Integer`	WonDealsValuesUSD.

Pseudo-Columns

Pseudo column fields are used in the WHERE clause of SELECT statements and offer a more granular control over the tuples that are returned from the data source.

Name	Type	Description
`UserId`	`Integer`	ID of the user who's pipeline statistics to fetch.
`StartDate`	`Datetime`	Start of the period. Date in format of YYYY-MM-DD
`EndDate`	`Datetime`	End of the period. Date in format of YYYY-MM-DD

PipelineDealsMovementsAverageAgeInDaysByStages

Returns statistics for deals movements for given time period average age in days.

Select

The connector will use the Pipedrive API to process WHERE clause conditions built with the following columns and operators. The rest of the filter is executed client side within the connector.

PipelineId supports the = operator.
UserId supports the = operator.
StartDate supports the = operator.
EndDate supports the = operator.

For example, the following query is processed server side:

SELECT * FROM PipelineDealsMovementsAverageAgeInDaysByStages WHERE StartDate='2022-05-18' and EndDate='2023-05-18'

Columns

Name	Type	Description
`PipelineId`	`Integer`	ID of the pipeline.
`StageId`	`Integer`	AverageAgeInDaysAcrossAllStages.
`Value`	`Integer`	AverageAgeInDaysAcrossAllStages.

Pseudo-Columns

Pseudo column fields are used in the WHERE clause of SELECT statements and offer a more granular control over the tuples that are returned from the data source.

Name	Type	Description
`UserId`	`Integer`	ID of the user who's pipeline statistics to fetch.
`StartDate`	`Datetime`	Start of the period. Date in format of YYYY-MM-DD
`EndDate`	`Datetime`	End of the period. Date in format of YYYY-MM-DD

PipelineDealsStageConversions

Returns statistics for deals movements for given time period

Select

The connector will use the Pipedrive API to process WHERE clause conditions built with the following columns and operators. The rest of the filter is executed client side within the connector.

PipelineId supports the = operator.

For example, the following query is processed server side:

SELECT * FROM PipelineDealsStageConversions

SELECT * FROM PipelineDealsStageConversions WHERE PipelineId = 4

Columns

Name	Type	Description
`PipelineId`	`Integer`	ID of the pipeline
`ConversionRate`	`Integer`	ConversionRate
`FromStageId`	`String`	FromStageId
`ToStageId`	`Integer`	ToStageId

Pseudo-Columns

Pseudo column fields are used in the WHERE clause of SELECT statements and offer a more granular control over the tuples that are returned from the data source.

Name	Type	Description
`UserId`	`Integer`	ID of the user who's pipeline statistics to fetch
`StartDate`	`Date`	Start of the period
`EndDate`	`Date`	End of the period

ProductFieldsOptions

Returns data about all product fields options.

Select

The connector will use the Pipedrive API to process WHERE clause conditions built with the following columns and operators. The rest of the filter is executed client side within the connector.

Id supports the = operator.

For example, the following query is processed server side:

SELECT * FROM ProductFieldsOptions

Columns

Name	Type	Description
`Id [KEY]`	`Integer`	ID of the Product Field Options.
`Label`	`String`	Label.

ProductsDeals

Get details of Products Deals.

Select

The connector will use the Pipedrive API to process WHERE clause conditions built with the following columns and operators. The rest of the filter is executed client side within the connector.

Id supports the = operator.
Status supports the = operator.

For example, the following query is processed server side:

SELECT * FROM ProductsDeals WHERE Id = 10

SELECT * FROM ProductsDeals WHERE ID = 10 AND status = 'open'

Columns

Name	Type	Description
`Id [KEY]`	`Integer`	Id.
`ProductId`	`Integer`	Products Id.
`Active`	`Boolean`	Active.
`ActivitiesCount`	`Integer`	ActivitiesCount.
`AddTime`	`Datetime`	AddTime.
`CcEmail`	`String`	CcEmail.
`CloseTime`	`String`	CloseTime.
`CreatorActiveFlag`	`Boolean`	CreatorActiveFlag.
`CreatorEmail`	`String`	CreatorEmail.
`CreatorHasPic`	`Boolean`	CreatorHasPic.
`CreatorId`	`Integer`	CreatorId.
`CreatorName`	`String`	CreatorName.
`CreatorPicHash`	`String`	CreatorPicHash.
`CreatorValue`	`Integer`	CreatorValue.
`Currency`	`String`	Currency.
`Deleted`	`Boolean`	Deleted.
`DoneActivitiesCount`	`Integer`	DoneActivitiesCount.
`EmailMessagesCount`	`Integer`	EmailMessagesCount.
`ExpectedCloseDate`	`String`	ExpectedCloseDate.
`FilesCount`	`Integer`	FilesCount.
`FirstWonTime`	`String`	FirstWonTime.
`FollowersCount`	`Integer`	FollowersCount.
`FormattedValue`	`String`	FormattedValue.
`FormattedWeightedValue`	`String`	FormattedWeightedValue.
`Label`	`String`	Label.
`LastActivityDate`	`String`	LastActivityDate.
`LastActivityId`	`String`	LastActivityId.
`LastIncomingMailTime`	`String`	LastIncomingMailTime.
`LastOutgoingMailTime`	`String`	LastOutgoingMailTime.
`LostReason`	`String`	LostReason.
`LostTime`	`String`	LostTime.
`NextActivityDate`	`Date`	NextActivityDate.
`NextActivityDuration`	`Time`	NextActivityDuration.
`NextActivityId`	`Integer`	NextActivityId.
`NextActivityNote`	`String`	NextActivityNote.
`NextActivitySubject`	`String`	NextActivitySubject.
`NextActivityTime`	`Time`	NextActivityTime.
`NextActivityType`	`String`	NextActivityType.
`NotesCount`	`Integer`	NotesCount.
`OrgHidden`	`Boolean`	OrgHidden.
`OrgIdName`	`String`	OrgId Name.
`OrgIdPeopleCount`	`Integer`	OrgId People count.
`OrgIdOwnerId`	`Integer`	OrgId Owner Id.
`OrgIdAddress`	`String`	OrgId Address.
`OrgIdActiveFlag`	`Boolean`	OrgId Active flag.
`OrgIdCcEmail`	`String`	OrgId CcEmail.
`OrgIdValue`	`Integer`	OrgId Value.
`OrgName`	`String`	OrgName.
`OwnerName`	`String`	OwnerName.
`ParticipantsCount`	`Integer`	ParticipantsCount.
`PersonHidden`	`Boolean`	PersonHidden.
`PersonActiveFlag`	`Boolean`	PersonActiveFlag.
`PersonEmail`	`String`	PersonEmail.
`PersonIdName`	`String`	PersonName.
`PersonPhone`	`String`	PersonPhone.
`PersonValue`	`Integer`	PersonValue.
`PipelineId`	`Integer`	PipelineId.
`Probability`	`String`	Probability.
`ProductsCount`	`Integer`	ProductsCount.
`RottenTime`	`String`	RottenTime.
`StageChangeTime`	`String`	StageChangeTime.
`StageId`	`Integer`	StageId.
`StageOrderNr`	`Integer`	StageOrderNr.
`Status`	`String`	Only fetch deals with specific status. The allowed values are open, won, lost, deleted, all_not_deleted. The default value is all_not_deleted.
`Title`	`String`	Title.
`UndoneActivitiesCount`	`Integer`	UndoneActivitiesCount.
`UpdateTime`	`Datetime`	UpdateTime.
`UserActiveFlag`	`Boolean`	UserActiveFlag.
`UserEmail`	`String`	UserEmail.
`UserHasPic`	`Boolean`	UserHasPic.
`UserId`	`Integer`	UserId.
`UserName`	`String`	UserName.
`UserPicHash`	`String`	UserPicHash.
`Uservalue`	`Integer`	Uservalue.
`Value`	`Double`	Value.
`VisibleTo`	`String`	VisibleTo.
`WeightedValue`	`Double`	WeightedValue.
`WeightedValueCurrency`	`String`	WeightedValueCurrency.
`WonTime`	`String`	WonTime.
`PersonName`	`String`	Person name.

ProductsDealsPersonEmail

Get details of Products Deals person email.

Select

The connector will use the Pipedrive API to process WHERE clause conditions built with the following columns and operators. The rest of the filter is executed client side within the connector.

ProductId supports the = operator.
Status supports the = operator.

For example, the following query is processed server side:

SELECT * FROM ProductsDealsPersonEmail WHERE ProductId = 10

SELECT * FROM ProductsDealsPersonEmail WHERE ProductId = 10 AND status = 'open'

Columns

Name	Type	Description
`ProductId`	`Integer`	Products Id.
`Label`	`String`	Label.
`Primary`	`Boolean`	Primary.
`Value`	`String`	Value.

Pseudo-Columns

Pseudo column fields are used in the WHERE clause of SELECT statements and offer a more granular control over the tuples that are returned from the data source.

Name	Type	Description
`Status`	`String`	Only fetch deals with specific status. The allowed values are open, won, lost, deleted, all_not_deleted. The default value is all_not_deleted.

ProductsDealsPersonphone

Get details of deals person phone.

Select

The connector will use the Pipedrive API to process WHERE clause conditions built with the following columns and operators. The rest of the filter is executed client side within the connector.

ProductId supports the = operator.
Status supports the = operator.

For example, the following query is processed server side:

SELECT * FROM ProductsDealsPersonphone WHERE ProductId = 10

SELECT * FROM ProductsDealsPersonphone WHERE ProductId = 10 AND status = 'open'

Columns

Name	Type	Description
`ProductId`	`Integer`	Products Id.
`Label`	`String`	Label.
`Primary`	`Boolean`	Primary.
`Value`	`String`	Value.

Pseudo-Columns

Pseudo column fields are used in the WHERE clause of SELECT statements and offer a more granular control over the tuples that are returned from the data source.

Name	Type	Description
`Status`	`String`	Only fetch deals with specific status. The allowed values are open, won, lost, deleted, all_not_deleted. The default value is all_not_deleted.

ProductsFiles

Get details of Persons file.

Select

The connector will use the Pipedrive API to process WHERE clause conditions built with the following columns and operators. The rest of the filter is executed client side within the connector.

ProductId supports the = operator.
IncludeDeletedFiles supports the = operator.

For example, the following query is processed server side:

SELECT * FROM ProductsFiles WHERE ProductId = 6

SELECT * FROM ProductsFiles WHERE ProductId = 6 AND IncludeDeletedFiles = 0

Columns

Name	Type	Description
`Id [KEY]`	`Integer`	Id of the products.
`ActiveFlag`	`Boolean`	Active Flag.
`ActivityId`	`String`	Activity Id.
`AddTime`	`Datetime`	AddTime.
`Cid`	`String`	Cid.
`DealId`	`String`	Deal Id.
`DealName`	`String`	DealName.
`Description`	`String`	Description.
`FileName`	`String`	File Name.
`FileSize`	`Integer`	File Size.
`FileType`	`String`	File Type.
`InlineFlag`	`Boolean`	Inline Flag.
`LogId`	`String`	Log Id.
`MailMessageId`	`String`	MailMessage Id.
`MailTemplateId`	`String`	MailTemplate Id.
`Name`	`String`	Name.
`OrgId`	`Integer`	Org Id.
`OrgName`	`String`	Org Name.
`PeopleName`	`String`	People Name.
`PersonId`	`String`	PersonId.
`PersonName`	`String`	Person Name.
`ProductId`	`String`	Product Id.
`ProductName`	`String`	Product Name.
`RemoteId`	`String`	Remote Id.
`RemoteLocation`	`String`	Remote Location.
`S3Bucket`	`String`	S3Bucket.
`UpdateTime`	`Datetime`	Update Time.
`Url`	`String`	Url.
`UserId`	`Integer`	UserId.

Pseudo-Columns

Pseudo column fields are used in the WHERE clause of SELECT statements and offer a more granular control over the tuples that are returned from the data source.

Name	Type	Description
`IncludeDeletedFiles`	`Integer`	When enabled, the list of files will also include deleted files. The allowed values are 0, 1.

ProductsPermittedUsers

Get details of users permitted to access a Product.

Select

The connector will use the Pipedrive API to process WHERE clause conditions built with the following columns and operators. The rest of the filter is executed client side within the connector.

ProductId supports the = operator.

For example, the following query is processed server side:

SELECT * FROM ProductsPermittedUsers WHERE ProductId = 6

Columns

Name	Type	Description
`ProductId`	`Integer`	Products Id.
`Data`	`String`	Data.

ProductsPrices

Get details of Products Prices.

Select

The connector will use the Pipedrive API to process WHERE clause conditions built with the following columns and operators. The rest of the filter is executed client side within the connector.

Id supports the = operator.
Code supports the LIKE operator.
Name supports the LIKE operator.
FirstChar supports the = operator.
FilterId supports the = operator.
UserId supports the = operator.
GetSummary supports the = operator.
Ids supports the '=,IN' operators.

For example, the following query is processed server side:

SELECT * FROM ProductsPrices WHERE Id = 14

SELECT * FROM ProductsPrices WHERE Name LIKE '%Cdata%'

SELECT * FROM ProductsPrices WHERE code LIKE '%123%'

SELECT * FROM ProductsPrices WHERE FirstChar = 'c'

SELECT * FROM ProductsPrices WHERE FilterId = 1

SELECT * FROM ProductsPrices WHERE UserId = 1

SELECT * FROM ProductsPrices WHERE GetSummary = 1

SELECT * FROM ProductsPrices WHERE Ids IN (1, 2)

Columns

Name	Type	Description
`Id [KEY]`	`Integer`	Id.
`Cost`	`Integer`	Cost.
`Currency`	`String`	Currency.
`OverheadCost`	`String`	OverheadCost.
`Price`	`Integer`	Price.
`ProductId`	`Integer`	ProductId.

Pseudo-Columns

Pseudo column fields are used in the WHERE clause of SELECT statements and offer a more granular control over the tuples that are returned from the data source.

Name	Type	Description
`FirstChar`	`String`	If supplied only Products whose name starts with the specified letter will be returned.
`UserId`	`Integer`	User Id.
`FilterId`	`Integer`	Filter Id.
`GetSummary`	`Boolean`	Get Summary.
`Ids`	`Integer`	The Ids of the Products that should be returned in the response.

Recents

Returns data about all recent changes occurred after given timestamp.

Select

The connector will use the Pipedrive API to process WHERE clause conditions built with the following columns and operators. The rest of the filter is executed client side within the connector.

Id supports the = operator.
Item supports the = operator.
SinceTimestamp supports the = operator.

For example, the following query is processed server side:

SELECT * FROM Recents
SELECT * FROM Recents WHERE Id = 2
SELECT * FROM Recents WHERE ID = 2 and SinceTimestamp = '022-01-01 01:29:32'

Columns

Name	Type	Description
`Id`	`Integer`	Id.
`DataActive`	`Boolean`	DataActive.
`DataActiveFlag`	`Boolean`	DataActiveFlag.
`DataActivitiesCount`	`Integer`	DataActivitiesCount.
`DataAddTime`	`Datetime`	DataAddTime.
`DataAssignedToUserId`	`Integer`	DataAssignedToUserId.
`DataAttendees`	`String`	DataAttendees.
`DataBusyFlag`	`String`	Data BusyFlag.
`DataCalendarSyncContext`	`String`	DataCalendarSyncContext.
`DataCcEmail`	`String`	DataCcEmail.
`DataCloseTime`	`String`	DataCloseTime.
`DataCompanyId`	`Integer`	DataCompanyId.
`DataConferenceMeetingClient`	`String`	DataConferenceMeetingClient.
`DataConferenceMeetingId`	`String`	DataConferenceMeetingId.
`DataConferenceMeetingUrl`	`String`	DataConferenceMeetingUrl.
`DataCreatedByUserId`	`Integer`	DataCreatedByUserId.
`DataCreatorUserId`	`Integer`	DataCreatorUserId.
`DataCurrency`	`String`	DataCurrency.
`DataDealDropboxBcc`	`String`	DataDealDropboxBcc.
`DataDealId`	`String`	DataDealId.
`DataDealTitle`	`String`	DataDealTitle.
`DataDeleted`	`Boolean`	DataDeleted.
`DataDone`	`Boolean`	DataDone.
`DataDoneActivitiesCount`	`Integer`	DataDoneActivitiesCount.
`DataDueDate`	`Date`	DataDueDate.
`DataDueTime`	`Datetime`	DataDueTime.
`DataDuration`	`Datetime`	DataDuration.
`DataEmailMessagesCount`	`Integer`	DataEmailMessagesCount.
`DataExpectedCloseDate`	`Date`	DataExpectedCloseDate.
`DataFileId`	`String`	DataFile Id.
`DataFileCleanName`	`String`	DataFile clean name.
`DataFileUrl`	`String`	DataFile URL.
`DataFilesCount`	`Integer`	DataFilesCount.
`DataFirstWonTime`	`String`	DataFirstWonTime.
`DataFollowersCount`	`Integer`	DataFollowersCount.
`DataFormattedValue`	`String`	DataFormattedValue.
`DataFormattedWeightedValue`	`String`	DataFormattedWeightedValue.
`DataGcalEventId`	`String`	DataGcalEventId.
`DataGoogleCalendarEtag`	`String`	DataGoogleCalendarEtag.
`DataGoogleCalendarId`	`String`	DataGoogleCalendarId.
`DataId`	`Integer`	DataId.
`DataLabel`	`String`	DataLabel.
`ActivityDate`	`String`	ActivityDate.
`ActivityId`	`String`	ActivityId.
`IncomingMailTime`	`String`	IncomingMailTime.
`LastNotificationTime`	`String`	Last_notification_time.
`LastNotificationUserId`	`String`	Last_notification_user_id.
`LastOutgoingMailTime`	`String`	Last_outgoing_mail_time.
`LeadId`	`String`	LeadId.
`LeadTitle`	`String`	LeadTitle.
`Location`	`String`	Location.
`AreaLevel1`	`String`	AreaLevel1.
`AreaLevel2`	`String`	AreaLevel2.
`LocationCountry`	`String`	LocationCountry.
`LocationFormattedAddress`	`String`	LocationFormattedAddress.
`Locationlocality`	`String`	Locationlocality.
`LocationPostalCode`	`String`	LocationPostalCode.
`LocationRoute`	`String`	LocationRoute.
`LocationStreetNumber`	`String`	LocationStreetNumber.
`LocationSublocality`	`String`	LocationSublocality.
`LocationSubpremise`	`String`	LocationSubpremise.
`LostReason`	`String`	LostReason.
`LostTime`	`String`	LostTime.
`MarkedAsDoneTime`	`String`	MarkedAsDoneTime.
`NextActivityDate`	`String`	NextActivityDate.
`NextActivityDuration`	`String`	NextActivityDuration.
`NextActivityId`	`String`	NextActivityId.
`NextActivityNote`	`String`	NextActivityNote.
`NextActivitySubject`	`String`	NextActivitySubject.
`NextActivityTime`	`String`	NextActivityTime.
`NextActivityType`	`String`	NextActivityType.
`Note`	`String`	Note.
`NotesCount`	`Integer`	NotesCount.
`NotificationLanguageId`	`Integer`	NotificationLanguageId.
`OrgHidden`	`Boolean`	OrgHidden.
`OrgId`	`Integer`	OrgId.
`OrgName`	`String`	OrgName.
`OwnerName`	`String`	OwnerName.
`Participants`	`String`	Participants.
`ParticipantsCount`	`Integer`	ParticipantsCount.
`PersonDropboxBcc`	`String`	PersonDropboxBcc.
`PersonHidden`	`Boolean`	PersonHidden.
`PersonId`	`Integer`	PersonId.
`PersonName`	`String`	PersonName.
`PipelineId`	`Integer`	PipelineId.
`Probability`	`String`	Probability.
`ProductsCount`	`Integer`	ProductsCount.
`PublicDescription`	`String`	PublicDescription.
`RecMasterActivityId`	`String`	RecMasterActivityId.
`RecRule`	`String`	RecRule.
`RecRuleExtension`	`String`	RecRuleExtension.
`ReferenceId`	`String`	ReferenceId.
`ReferenceType`	`String`	ReferenceType.
`RottenTime`	`String`	RottenTime.
`Series`	`String`	Series.
`SourceTimezone`	`String`	SourceTimezone.
`StageChangeTime`	`String`	StageChangeTime.
`StageId`	`Integer`	StageId.
`StageOrderNr`	`Integer`	StageOrderNr.
`Status`	`String`	Status.
`Subject`	`String`	Subject.
`DataTitle`	`String`	DataTitle.
`DataType`	`String`	DataType.
`UndoneActivitiesCount`	`Integer`	UndoneActivitiesCount.
`UpdateTime`	`Datetime`	UpdateTime.
`UpdateUserId`	`String`	UpdateUserId.
`UserId`	`Integer`	UserId.
`Value`	`Integer`	Value.
`VisibleTo`	`String`	VisibleTo.
`WeightedValue`	`Integer`	WeightedValue.
`WeightedValueCurrency`	`String`	WeightedValueCurrency.
`WonTime`	`String`	WonTime.
`Item`	`String`	Item.

Pseudo-Columns

Pseudo column fields are used in the WHERE clause of SELECT statements and offer a more granular control over the tuples that are returned from the data source.

Name	Type	Description
`SinceTimestamp`	`Datetime`	Timestamp in UTC. The default value is 2000-01-01 01:29:32.

RecentsAttendees

Returns data about all recent changes occurred after given timestamp attendees.

Select

The connector will use the Pipedrive API to process WHERE clause conditions built with the following columns and operators. The rest of the filter is executed client side within the connector.

SinceTimestamp supports the = operator.

For example, the following query is processed server side:

SELECT * FROM RecentsAttendees WHERE SinceTimestamp = '022-01-01 01:29:32'

Columns

Name	Type	Description
`EmailAddress`	`String`	Email Address.
`IsOrganizer`	`Integer`	Is Organizer.
`Name`	`String`	Name.
`PersonId`	`Integer`	Person Id.
`Status`	`String`	Status.
`UserId`	`Integer`	UserId.

Pseudo-Columns

Pseudo column fields are used in the WHERE clause of SELECT statements and offer a more granular control over the tuples that are returned from the data source.

Name	Type	Description
`SinceTimestamp`	`Datetime`	Timestamp in UTC. The default value is 2000-01-01 01:29:32.

RecentsParticipants

Returns data about all recent changes occurred after given timestamp participants.

Select

The connector will use the Pipedrive API to process WHERE clause conditions built with the following columns and operators. The rest of the filter is executed client side within the connector.

SinceTimestamp supports the = operator.

For example, the following query is processed server side:

SELECT * FROM RecentsParticipants WHERE SinceTimestamp = '022-01-01 01:29:32'

Columns

Name	Type	Description
`PersonId`	`Integer`	Person Id.
`PrimaryFlag`	`Boolean`	Primary Flag.

Pseudo-Columns

Pseudo column fields are used in the WHERE clause of SELECT statements and offer a more granular control over the tuples that are returned from the data source.

Name	Type	Description
`SinceTimestamp`	`Datetime`	Timestamp in UTC. The default value is 2000-01-01 01:29:32.

RolesPipelinesVisibility

Get the list of either visible or hidden pipeline IDs for a specific role.

Select

The connector will use the Pipedrive API to process WHERE clause conditions built with the following columns and operators. The rest of the filter is executed client side within the connector.

RoleId supports the = operator.

For example, the following query is processed server side:

SELECT * FROM RolesPipelinesVisibility WHERE RoleId = 2

Columns

Name	Type	Description
`RoleId [KEY]`	`Integer`	ID of the Role.
`PipelineIds`	`String`	Ids of the Pipeline.
`Visible`	`Boolean`	Visible.

StagesDeals

Get deals in a specific stage.

Select

The connector will use the Pipedrive API to process WHERE clause conditions built with the following columns and operators. The rest of the filter is executed client side within the connector.

StageId supports the = operator.

For example, the following query is processed server side:

SELECT * FROM StagesDeals WHERE StageId = 2

Columns

Name	Type	Description
`Id [KEY]`	`Integer`	Stages Deals Id.
`StageId`	`Integer`	Stage Id.
`Active`	`Boolean`	Active.
`ActivitiesCount`	`Integer`	Activities count.
`AddTime`	`String`	Added time of Stage deals.
`CcEmail`	`String`	Cc Email.
`CloseTime`	`String`	Close time of Stages deals.
`CreatorUserId`	`Integer`	Creator user id.
`Currency`	`String`	Currency.
`Deleted`	`Boolean`	Boolean value that represents stage deals is deleted or not.
`DoneActivitiesCount`	`Integer`	Count of done activities.
`EmailMessagesCount`	`Integer`	Count of email messages.
`ExpectedCloseDate`	`Date`	Expected close date.
`FilesCount`	`Integer`	Count of files.
`FirstWonTime`	`String`	First won time.
`FollowersCount`	`Integer`	Count of followers.
`FormattedValue`	`String`	Formatted value.
`FormattedWeightedValue`	`String`	Formatted weighted value.
`Label`	`String`	Label.
`LastActivityDate`	`String`	Last activity date.
`LastActivityId`	`String`	Last activity id.
`LastIncomingMailTime`	`String`	Last incoming mail time.
`LastOutgoingMailTime`	`String`	Last outgoing mail time.
`LostReason`	`String`	Lost reason.
`LostTime`	`String`	Lost time.
`NextAactivityDate`	`Date`	Next activity date.
`NextActivityDuration`	`String`	Next activity duration.
`NextActivityId`	`Integer`	Next activity id.
`NextActivityNote`	`String`	Next activity note.
`NextActivitySubject`	`String`	Next activity subject.
`NextActivityTime`	`String`	Next activity time.
`NextActivityType`	`String`	Next activity type.
`NotesCount`	`Integer`	Notes count.
`OrgHidden`	`Boolean`	Org hidden.
`OrgId`	`Integer`	Org Id.
`OrgName`	`String`	Org Name.
`OwnerName`	`String`	Owner name.
`ParticipantsCount`	`Integer`	Participants count.
`PersonHidden`	`Boolean`	Person hidden.
`PersonId`	`Integer`	Person id.
`PersonName`	`String`	Person name.
`PipelineId`	`Integer`	Pipeline id.
`Probability`	`Unknown`	Probability.
`ProductsCount`	`Integer`	Products count.
`RottenTime`	`String`	Rotten time.
`StageChangeTime`	`String`	Stage change time.
`StageOrderNr`	`Integer`	Stage order nr.
`Status`	`String`	Status.
`Title`	`String`	Title.
`UndoneActivitiesCount`	`Integer`	Count of undone activities.
`UpdateTime`	`Datetime`	Updated time.
`UserId`	`Integer`	User id.
`Value`	`Integer`	Value.
`VisibleTo`	`String`	Visible to.
`WeightedValue`	`Integer`	Weighted value.
`WeightedValueCurrency`	`String`	Weighted value currency.
`WonTime`	`String`	Won time.

Pseudo-Columns

Pseudo column fields are used in the WHERE clause of SELECT statements and offer a more granular control over the tuples that are returned from the data source.

Name	Type	Description
`FilterId`	`Integer`	Filter id.
`Everyone`	`String`	Everyone.

SubscriptionPayments

Returns all payments of an installment or recurring subscription.

Select

The connector will use the Pipedrive API to process WHERE clause conditions built with the following columns and operators. The rest of the filter is executed client side within the connector.

SubscriptionId supports the = operator.

For example, the following query is processed server side:

SELECT * FROM SubscriptionPayments WHERE SubscriptionId = 2

Columns

Name	Type	Description
`Id [KEY]`	`Integer`	ID of the Subscription Payments.
`SubscriptionId`	`Integer`	ID of the Subscription.
`DealId`	`Integer`	Deal Id.
`IsActive`	`Boolean`	Is Active.
`Amount`	`Integer`	Amount.
`Currency`	`String`	Currency.
`ChangeAmount`	`Integer`	Change amount.
`DueAt`	`Date`	Due at.
`RevenueMovementType`	`String`	Revenue movement type.
`PaymentType`	`String`	Payment type.
`Description`	`String`	Description.
`AddTime`	`String`	Add time.
`UpdateTime`	`String`	Update time.

UserConnection

The data of user connections.

Select

The connector will use the Pipedrive API to process WHERE clause conditions built with the following columns and operators. The rest of the filter is executed client side within the connector

For example, the following query is processed server side:

SELECT * FROM UserConnection

Columns

Name	Type	Description
`Google`	`String`	Google.

UsersAccess

Returns data about all users within the company access.

Select

The connector will use the Pipedrive API to process WHERE clause conditions built with the following columns and operators. The rest of the filter is executed client side within the connector.

Id supports the = operator.

For example, the following query is processed server side:

SELECT * FROM UsersAccess

Columns

Name	Type	Description
`App`	`String`	ID of the user.
`Admin`	`Boolean`	Admin.
`PermissionSetId`	`String`	Permission Set Id.

UserSettings

List settings of an authorized user.

Select

The connector will use the Pipedrive API to process WHERE clause conditions built with the following columns and operators. The rest of the filter is executed client side within the connector

For example, the following query is processed server side:

SELECT * FROM UserSettings

Columns

Name	Type	Description
`ExpectedCloseDate`	`String`	ExpectedCloseDate.
`BetaApp`	`String`	BetaApp.
`CalltoLink`	`String`	CalltoLink.
`FileUploadDestination`	`String`	FileUploadDestination.
`ListLimit`	`Integer`	ListLimit.
`MarketplaceCustomUrl`	`String`	MarketplaceCustomUrl.
`MarketplaceExtensionsVendor`	`String`	MarketplaceExtensionsVendor.
`MarketplaceTeam`	`String`	MarketplaceTeam.
`PersonDuplicateCondition`	`String`	PersonDuplicateCondition.
`SalesphoneCalltoOverride`	`String`	SalesphoneCalltoOverride.

UsersFollowers

Lists the followers of a specific user.

Select

The connector will use the Pipedrive API to process WHERE clause conditions built with the following columns and operators. The rest of the filter is executed client side within the connector.

UserId supports the = operator.

For example, the following query is processed server side:

SELECT * FROM UsersFollowers WHERE UserId = 2

Columns

Name	Type	Description
`UserId`	`Integer`	ID of the user.
`Data`	`Integer`	Data.

UsersPermissions

Lists the followers of a specific user.

Select

The connector will use the Pipedrive API to process WHERE clause conditions built with the following columns and operators. The rest of the filter is executed client side within the connector.

UserId supports the = operator.

For example, the following query is processed server side:

SELECT * FROM UsersPermissions WHERE UserId = 13822542

Columns

Name	Type	Description
`UserId`	`Integer`	ID of the user.
`CanAddCustomFields`	`Boolean`	CanAddCustomFields.
`CanBulkEditItems`	`Boolean`	CanBulkEditItems.
`CanChangeVisibilityOfItems`	`Boolean`	CanChangeVisibilityOfItems.
`CanCreateOwnWorkflow`	`Boolean`	CanCreateOwnWorkflow.

UsersRoleAssignments

Lists role assignments for a user.

Select

The connector will use the Pipedrive API to process WHERE clause conditions built with the following columns and operators. The rest of the filter is executed client side within the connector.

UserId supports the = operator.

For example, the following query is processed server side:

SELECT * FROM UsersRoleAssignments WHERE UserId = 2

Columns

Name	Type	Description
`UserId`	`Integer`	ID of the user.
`RoleId`	`Integer`	Role Id.
`ParentRoleId`	`Integer`	Parent Role Id.
`Name`	`String`	Name.
`ActiveFlag`	`Boolean`	Active flag.
`Type`	`String`	Type.

UsersRoleSettings

Lists the settings of user assigned role.

Select

The connector will use the Pipedrive API to process WHERE clause conditions built with the following columns and operators. The rest of the filter is executed client side within the connector.

UserId supports the = operator.

For example, the following query is processed server side:

SELECT * FROM UsersRoleSettings WHERE UserId = 2

Columns

Name	Type	Description
`UserId`	`Integer`	ID of the user.
`DealDefaultVisibility`	`Integer`	Deal Default Visibility.
`LeadDefaultVisibility`	`Integer`	Lead Default Visibility.
`OrgDefaultVisibility`	`Integer`	Org Default Visibility.
`PersonDefaultVisibility`	`Integer`	Person Default Visibility.
`ProductDefaultVisibility`	`Integer`	Product Default Visibility.

Stored Procedures

Stored procedures are function-like interfaces that extend the functionality of the connector beyond simple SELECT/INSERT/UPDATE/DELETE operations with Pipedrive.

Stored procedures accept a list of parameters, perform their intended function, and then return any relevant response data from Pipedrive, along with an indication of whether the procedure succeeded or failed.

Pipedrive Connector Stored Procedures

Name	Description
`AddAudioFile`	Adds an audio recording to the call log.
`AddChannel`	Adds a new messaging channel, only admins are able to register new channels.
`AddFile`	Upload a file and associate it with Deal, Person, Organization, Activity or Product.
`AddPersonPicture`	Add Person Picture.
`CancelRecurringSubscription`	Cancels a recurring subscription.
`CreateRemoteFile`	Creates a new empty file in the remote location (googledrive).
`DealsDuplicate`	Duplicate deals.It will create new record for the particular deal.
`DeleteChannel`	Deletes an existing messenger’s channel and all related entities (conversations and messages).
`DeletePersonPictures`	Delete person picture.
`DownloadFile`	Adds an audio recording to the call log.
`GetOAuthAccessToken`	Gets an authentication token from PipeDrive.
`GetOAuthAuthorizationURL`	Gets the authorization URL that must be opened separately by the user to grant access to your application. Only needed when developing Web apps. You will request the OAuthAccessToken from this URL.
`LinkRemoteFile`	Links an existing remote file (googledrive).
`MergeDeals`	Merge two deals in one deal.
`MergeOrganizations`	Merges an organization with another organization.
`MergePersons`	Adds an audio recording to the call log.
`RefreshOAuthAccessToken`	Refreshes the OAuth access token used for authentication with Pipedrive.

AddAudioFile

Adds an audio recording to the call log.

Stored Procedure Specific Information

Pipedrive allows only a small subset of columns to be used in the EXEC query. These columns can typically be used with only = comparison. The required columns in AddAudioFile are ID and Filelocation. For example:

EXECUTE AddAudioFile ID = '123436', FileLocation = 'C:\Users\Downloads\file_example_MP3_1MG.mp3'

Input

Name	Type	Required	Description
`Id`	`String`	True	ID of call logs.
`FileLocation`	`String`	False	File to upload.

Result Set Columns

Name	Type	Description
`Status`	`String`	Execution status of the stored procedure.

AddChannel

Adds a new messaging channel, only admins are able to register new channels.

Stored Procedure Specific Information

Pipedrive allows only a small subset of columns to be used in the Exec query. These columns can typically be used with only = comparison. The required columns in AddFile are FileLocation . For example:

EXECUTE AddChannel Name = 'Test', ProviderChannelId = '123'

Input

Name	Type	Required	Description
`Name`	`String`	True	The name of the channel.
`ProviderChannelId`	`String`	True	The channel ID.
`AvatarUrl`	`String`	False	The URL for an icon that represents your channel.
`TemplateSupport`	`Boolean`	False	If true, enables templates logic on UI.
`ProviderType`	`String`	False	It controls the icons (like the icon next to the conversation).

Result Set Columns

Name	Type	Description
`Status`	`String`	Execution status of the stored procedure.

AddFile

Upload a file and associate it with Deal, Person, Organization, Activity or Product.

Stored Procedure Specific Information

Pipedrive allows only a small subset of columns to be used in the EXEC query. These columns can typically be used with only = comparison. The required columns in AddFile are FileLocation . For example:

EXECUTE AddFile DealId = '12', FileLocation = 'C:\Users\Downloads\file_example_MP3_1MG.mp3'

Input

Name	Type	Required	Description
`DealId`	`Integer`	False	ID of the deal to associate file(s) with.
`PersonId`	`Integer`	False	ID of the person to associate file(s) with.
`OrgId`	`Integer`	False	ID of the organization to associate file(s) with.
`ProductId`	`Integer`	False	ID of the product to associate file(s) with.
`ActivityId`	`Integer`	False	ID of the activity to associate file(s) with.
`FileLocation`	`String`	False	File to upload.

Result Set Columns

Name	Type	Description
`Status`	`String`	Execution status of the stored procedure.

AddPersonPicture

Add Person Picture.

Stored Procedure Specific Information

Pipedrive allows only a small subset of columns to be used in the EXEC query. These columns can typically be used with only = comparison. The required columns in AddPersonPicture are ID and FileLocation. For example:

EXECUTE AddPersonPicture ID = '1', FileLocation = 'C:\Users\Downloads\download.jpg'

Input

Name	Type	Required	Description
`Id`	`Integer`	True	ID of a person.
`CropX`	`Integer`	False	X coordinate to where start cropping form in pixels.
`CropY`	`Integer`	False	Y coordinate to where start cropping form in pixels.
`CropWidth`	`Integer`	False	Width of cropping area in pixels.
`CropHeight`	`Integer`	False	Height of cropping area in pixels.
`FileLocation`	`String`	False	File to upload.

Result Set Columns

Name	Type	Description
`Status`	`String`	Execution status of the stored procedure.

CancelRecurringSubscription

Cancels a recurring subscription.

Stored Procedure Specific Information

Pipedrive allows only a small subset of columns to be used in the Exec query. These columns can typically be used with only = comparison. The required columns in AddFile are FileLocation . For example:

EXECUTE CancelRecurringSubscription ID = '2'

Input

Name	Type	Required	Description
`Id`	`Integer`	True	The ID of the Subscription.
`EndDate`	`String`	False	The subscription termination date. All payments after specified date will be deleted. Default value is the current date.

Result Set Columns

Name	Type	Description
`Status`	`String`	Execution status of the stored procedure.

CreateRemoteFile

Creates a new empty file in the remote location (googledrive).

Stored Procedure Specific Information

Pipedrive allows only a small subset of columns to be used in the EXEC query. These columns can typically be used with only = comparison. The required columns in CreateRemoteFile are Filetype, Title,Itemid , Remotelocation and Itemtype. For example:

EXECUTE CreateRemoteFile Filetype = 'gdoc',  Title = 'tests', Itemid = '8230170', Remotelocation = 'googledrive', Itemtype = 'deal'

Input

Name	Type	Required	Description
`ItemId`	`Integer`	True	ID of the item to associate the file with.
`FileType`	`String`	True	File type. The allowed values are gdoc, gslides, gsheet, gform, gdraw.
`Title`	`String`	True	ID of call logs.
`ItemType`	`String`	True	Item type. The allowed values are deal, organization, person.
`RemoteLocation`	`String`	True	The location type to send the file to. Only googledrive is currently supported. The allowed values are googledrive.

Result Set Columns

Name	Type	Description
`Status`	`String`	Execution status of the stored procedure

DealsDuplicate

Duplicate deals.It will create new record for the particular deal.

Stored Procedure Specific Information

Pipedrive allows only a small subset of columns to be used in the EXEC query. These columns can typically be used with only = comparison. The required columns in DealsDuplicate are Id. For example:

EXECUTE DealsDuplicate ID = '2'

Input

Name	Type	Required	Description
`Id`	`Integer`	True	The ID of the deals.

Result Set Columns

Name	Type	Description
`Status`	`String`	Execution status of the stored procedure.

DeleteChannel

Deletes an existing messenger’s channel and all related entities (conversations and messages).

Stored Procedure Specific Information

Pipedrive allows only a small subset of columns to be used in the Exec query. These columns can typically be used with only = comparison. The required columns in AddFile are FileLocation . For example:

EXECUTE DeleteChannel ID = '123'

Input

Name	Type	Required	Description
`Id`	`String`	True	The ID of the channel provided by the integration.

Result Set Columns

Name	Type	Description
`Success`	`String`	Execution status of the stored procedure.

DeletePersonPictures

Delete person picture.

Stored Procedure Specific Information

Pipedrive allows only a small subset of columns to be used in the EXEC query. These columns can typically be used with only = comparison. The required columns in DeletePersonPictures are Id. For example:

EXECUTE DeletePersonPictures ID = 6

Input

Name	Type	Required	Description
`Id`	`Integer`	True	ID of a person.

Result Set Columns

Name	Type	Description
`Status`	`String`	Execution status of the stored procedure.

DownloadFile

Adds an audio recording to the call log.

Stored Procedure Specific Information

Pipedrive allows only a small subset of columns to be used in the EXEC query. These columns can typically be used with only = comparison. The required columns in DownloadFile are ID and DownloadLocation. For example:

EXECUTE DownloadFile ID = 6, DownloadLocation = 'D:\test\download.txt'

Input

Name	Type	Required	Description
`Id`	`Integer`	True	ID of the file.
`DownloadLocation`	`String`	False	Download location. For example: C:\File.mp4
`Encoding`	`String`	False	The FileData input encoding type. The allowed values are NONE, BASE64. The default value is BASE64.

Result Set Columns

Name	Type	Description
`Status`	`String`	Execution status of the stored procedure.
`FileData`	`String`	If the DownloadLocation and FileStream are not provided, this contains the content of the file.

GetOAuthAccessToken

Gets an authentication token from PipeDrive.

Input

Name	Type	Required	Description
`AuthMode`	`String`	False	The type of authentication mode to use. Select App for getting authentication tokens via a desktop app. Select Web for getting authentication tokens via a Web app. The allowed values are APP, WEB. The default value is APP.
`Scope`	`String`	False	A comma-separated list of permissions to request from the user. Please check the PipeDrive API for a list of available permissions.
`CallbackUrl`	`String`	False	The URL the user will be redirected to after authorizing your application. This value must match the Redirect URL you have specified in the PipeDrive app settings. Only needed when the Authmode parameter is Web.
`Verifier`	`String`	False	The verifier returned from PipeDrive after the user has authorized your app to have access to their data. This value will be returned as a parameter to the callback URL.
`State`	`String`	False	Indicates any state which may be useful to your application upon receipt of the response. Your application receives the same value it sent, as this parameter makes a round-trip to the PipeDrive authorization server and back. Uses include redirecting the user to the correct resource in your site, nonces, and cross-site-request-forgery mitigations.

Result Set Columns

Name	Type	Description
`OAuthAccessToken`	`String`	The access token used for communication with PipeDrive.
`OAuthRefreshToken`	`String`	The OAuth refresh token. This is the same as the access token in the case of PipeDrive.
`ExpiresIn`	`String`	The remaining lifetime on the access token. A -1 denotes that it will not expire.

GetOAuthAuthorizationURL

Gets the authorization URL that must be opened separately by the user to grant access to your application. Only needed when developing Web apps. You will request the OAuthAccessToken from this URL.

Input

Name	Type	Required	Description
`CallbackUrl`	`String`	False	The URL the user will be redirected to after authorizing your application. This value must match the Redirect URL in the Pipedrive app settings.
`Scope`	`String`	False	A comma-separated list of scopes to request from the user. Please check the Pipedrive API documentation for a list of available permissions.
`State`	`String`	False	Indicates any state which may be useful to your application upon receipt of the response. Your application receives the same value it sent, as this parameter makes a round-trip to the Pipedrive authorization server and back. Uses include redirecting the user to the correct resource in your site, nonces, and cross-site-request-forgery mitigations.

Result Set Columns

Name	Type	Description
`URL`	`String`	The authorization URL, entered into a Web browser to obtain the verifier token and authorize your app.

LinkRemoteFile

Links an existing remote file (googledrive).

Stored Procedure Specific Information

Pipedrive allows only a small subset of columns to be used in the EXEC query. These columns can typically be used with only = comparison. The required columns in DownloadFile are RemoteId ,ItemType ,Itemid ,Remotelocation. For example:

EXECUTE LinkRemoteFile RemoteId = 1Kh8s-KfS02dYfw2dnEXCal8q0AZ7Wt7T0qn5pJ2PqGM, ItemType = deal, itemid = 8230170, remotelocation = googledrive

Input

Name	Type	Required	Description
`ItemId`	`Integer`	True	ID of the item to associate the file with.
`RemoteId`	`String`	True	The remote item id.
`ItemType`	`String`	True	Item type. The allowed values are deal, organization, person.
`RemoteLocation`	`String`	True	The location type to send the file to. Only googledrive is currently supported. The allowed values are googledrive.

Result Set Columns

Name	Type	Description
`Status`	`String`	Execution status of the stored procedure

MergeDeals

Merge two deals in one deal.

Stored Procedure Specific Information

Pipedrive allows only a small subset of columns to be used in the EXEC query. These columns can typically be used with only = comparison. The required columns in MergeDeals are ID and MergeWithId. For example:

EXECUTE MergeDeals ID = 1, MergeWithId = 2

Input

Name	Type	Required	Description
`Id`	`Integer`	True	ID of a Deal.
`MergeWithId`	`Integer`	True	ID of the deal that the deal will be merged with.

Result Set Columns

Name	Type	Description
`Status`	`String`	Execution status of the stored procedure.

MergeOrganizations

Merges an organization with another organization.

Input

Name	Type	Required	Description
`Id`	`Integer`	True	The ID of the Organization.
`MergeWithId`	`Integer`	True	The ID of the Organization that the Organization will be merged with.

Result Set Columns

Name	Type	Description
`Status`	`String`	Execution status of the stored procedure.

MergePersons

Adds an audio recording to the call log.

Stored Procedure Specific Information

Pipedrive allows only a small subset of columns to be used in the EXEC query. These columns can typically be used with only = comparison. The required columns in MergePersons are ID and MergeWithId. For example:

EXECUTE MergePersons ID = 1, MergeWithId = 2

Input

Name	Type	Required	Description
`Id`	`Integer`	True	ID of a person.
`MergeWithId`	`Integer`	True	The ID of the Person that will not be overwritten This Person data will be prioritized in case of conflict with the other Person.

Result Set Columns

Name	Type	Description
`Status`	`String`	Execution status of the stored procedure.

RefreshOAuthAccessToken

Refreshes the OAuth access token used for authentication with Pipedrive.

Input

Name	Type	Required	Description
`OAuthRefreshToken`	`String`	True	Set this to the token value that expired.

Result Set Columns

Name	Type	Description
`OAuthAccessToken`	`String`	The authentication token returned from Pipedrive. This can be used in subsequent calls to other operations for this particular service.
`OAuthRefreshToken`	`String`	This is the same as the access token.
`ExpiresIn`	`String`	The remaining lifetime on the access token.

System Tables

You can query the system tables described in this section to access schema information, information on data source functionality, and batch operation statistics.

Schema Tables

The following tables return database metadata for Pipedrive:

sys_catalogs: Lists the available databases.
sys_schemas: Lists the available schemas.
sys_tables: Lists the available tables and views.
sys_tablecolumns: Describes the columns of the available tables and views.
sys_procedures: Describes the available stored procedures.
sys_procedureparameters: Describes stored procedure parameters.
sys_keycolumns: Describes the primary and foreign keys.
sys_indexes: Describes the available indexes.

Data Source Tables

The following tables return information about how to connect to and query the data source:

sys_connection_props: Returns information on the available connection properties.
sys_sqlinfo: Describes the SELECT queries that the connector can offload to the data source.

Query Information Tables

The following table returns query statistics for data modification queries, including batch operations:

sys_identity: Returns information about batch operations or single updates.

sys_catalogs

Lists the available databases.

The following query retrieves all databases determined by the connection string:

SELECT * FROM sys_catalogs

Columns

Name	Type	Description
`CatalogName`	`String`	The database name.

sys_schemas

Lists the available schemas.

The following query retrieves all available schemas:

SELECT * FROM sys_schemas

Columns

Name	Type	Description
`CatalogName`	`String`	The database name.
`SchemaName`	`String`	The schema name.

sys_tables

Lists the available tables.

The following query retrieves the available tables and views:

SELECT * FROM sys_tables

Columns

Name	Type	Description
`CatalogName`	`String`	The database containing the table or view.
`SchemaName`	`String`	The schema containing the table or view.
`TableName`	`String`	The name of the table or view.
`TableType`	`String`	The table type (table or view).
`Description`	`String`	A description of the table or view.
`IsUpdateable`	`Boolean`	Whether the table can be updated.

sys_tablecolumns

Describes the columns of the available tables and views.

The following query returns the columns and data types for the Deals table:

SELECT ColumnName, DataTypeName FROM sys_tablecolumns WHERE TableName='Deals'

Columns

Name	Type	Description
`CatalogName`	`String`	The name of the database containing the table or view.
`SchemaName`	`String`	The schema containing the table or view.
`TableName`	`String`	The name of the table or view containing the column.
`ColumnName`	`String`	The column name.
`DataTypeName`	`String`	The data type name.
`DataType`	`Int32`	An integer indicating the data type. This value is determined at run time based on the environment.
`Length`	`Int32`	The storage size of the column.
`DisplaySize`	`Int32`	The designated column's normal maximum width in characters.
`NumericPrecision`	`Int32`	The maximum number of digits in numeric data. The column length in characters for character and date-time data.
`NumericScale`	`Int32`	The column scale or number of digits to the right of the decimal point.
`IsNullable`	`Boolean`	Whether the column can contain null.
`Description`	`String`	A brief description of the column.
`Ordinal`	`Int32`	The sequence number of the column.
`IsAutoIncrement`	`String`	Whether the column value is assigned in fixed increments.
`IsGeneratedColumn`	`String`	Whether the column is generated.
`IsHidden`	`Boolean`	Whether the column is hidden.
`IsArray`	`Boolean`	Whether the column is an array.
`IsReadOnly`	`Boolean`	Whether the column is read-only.
`IsKey`	`Boolean`	Indicates whether a field returned from sys_tablecolumns is the primary key of the table.

sys_procedures

Lists the available stored procedures.

The following query retrieves the available stored procedures:

SELECT * FROM sys_procedures

Columns

Name	Type	Description
`CatalogName`	`String`	The database containing the stored procedure.
`SchemaName`	`String`	The schema containing the stored procedure.
`ProcedureName`	`String`	The name of the stored procedure.
`Description`	`String`	A description of the stored procedure.
`ProcedureType`	`String`	The type of the procedure, such as PROCEDURE or FUNCTION.

sys_procedureparameters

Describes stored procedure parameters.

The following query returns information about all of the input parameters for the AddFile stored procedure:

SELECT * FROM sys_procedureparameters WHERE ProcedureName='AddFile' AND Direction=1 OR Direction=2

Columns

Name	Type	Description
`CatalogName`	`String`	The name of the database containing the stored procedure.
`SchemaName`	`String`	The name of the schema containing the stored procedure.
`ProcedureName`	`String`	The name of the stored procedure containing the parameter.
`ColumnName`	`String`	The name of the stored procedure parameter.
`Direction`	`Int32`	An integer corresponding to the type of the parameter: input (1), input/output (2), or output(4). input/output type parameters can be both input and output parameters.
`DataTypeName`	`String`	The name of the data type.
`DataType`	`Int32`	An integer indicating the data type. This value is determined at run time based on the environment.
`Length`	`Int32`	The number of characters allowed for character data. The number of digits allowed for numeric data.
`NumericPrecision`	`Int32`	The maximum precision for numeric data. The column length in characters for character and date-time data.
`NumericScale`	`Int32`	The number of digits to the right of the decimal point in numeric data.
`IsNullable`	`Boolean`	Whether the parameter can contain null.
`IsRequired`	`Boolean`	Whether the parameter is required for execution of the procedure.
`IsArray`	`Boolean`	Whether the parameter is an array.
`Description`	`String`	The description of the parameter.
`Ordinal`	`Int32`	The index of the parameter.

sys_keycolumns

Describes the primary and foreign keys.

The following query retrieves the primary key for the Deals table:

SELECT * FROM sys_keycolumns WHERE IsKey='True' AND TableName='Deals'

Columns

Name	Type	Description
`CatalogName`	`String`	The name of the database containing the key.
`SchemaName`	`String`	The name of the schema containing the key.
`TableName`	`String`	The name of the table containing the key.
`ColumnName`	`String`	The name of the key column.
`IsKey`	`Boolean`	Whether the column is a primary key in the table referenced in the TableName field.
`IsForeignKey`	`Boolean`	Whether the column is a foreign key referenced in the TableName field.
`PrimaryKeyName`	`String`	The name of the primary key.
`ForeignKeyName`	`String`	The name of the foreign key.
`ReferencedCatalogName`	`String`	The database containing the primary key.
`ReferencedSchemaName`	`String`	The schema containing the primary key.
`ReferencedTableName`	`String`	The table containing the primary key.
`ReferencedColumnName`	`String`	The column name of the primary key.

sys_foreignkeys

Describes the foreign keys.

The following query retrieves all foreign keys which refer to other tables:

SELECT * FROM sys_foreignkeys WHERE ForeignKeyType = 'FOREIGNKEY_TYPE_IMPORT'

Columns

Name	Type	Description
`CatalogName`	`String`	The name of the database containing the key.
`SchemaName`	`String`	The name of the schema containing the key.
`TableName`	`String`	The name of the table containing the key.
`ColumnName`	`String`	The name of the key column.
`PrimaryKeyName`	`String`	The name of the primary key.
`ForeignKeyName`	`String`	The name of the foreign key.
`ReferencedCatalogName`	`String`	The database containing the primary key.
`ReferencedSchemaName`	`String`	The schema containing the primary key.
`ReferencedTableName`	`String`	The table containing the primary key.
`ReferencedColumnName`	`String`	The column name of the primary key.
`ForeignKeyType`	`String`	Designates whether the foreign key is an import (points to other tables) or export (referenced from other tables) key.

sys_primarykeys

Describes the primary keys.

The following query retrieves the primary keys from all tables and views:

SELECT * FROM sys_primarykeys

Columns

Name	Type	Description
`CatalogName`	`String`	The name of the database containing the key.
`SchemaName`	`String`	The name of the schema containing the key.
`TableName`	`String`	The name of the table containing the key.
`ColumnName`	`String`	The name of the key column.
`KeySeq`	`String`	The sequence number of the primary key.
`KeyName`	`String`	The name of the primary key.

sys_indexes

Describes the available indexes. By filtering on indexes, you can write more selective queries with faster query response times.

The following query retrieves all indexes that are not primary keys:

SELECT * FROM sys_indexes WHERE IsPrimary='false'

Columns

Name	Type	Description
`CatalogName`	`String`	The name of the database containing the index.
`SchemaName`	`String`	The name of the schema containing the index.
`TableName`	`String`	The name of the table containing the index.
`IndexName`	`String`	The index name.
`ColumnName`	`String`	The name of the column associated with the index.
`IsUnique`	`Boolean`	True if the index is unique. False otherwise.
`IsPrimary`	`Boolean`	True if the index is a primary key. False otherwise.
`Type`	`Int16`	An integer value corresponding to the index type: statistic (0), clustered (1), hashed (2), or other (3).
`SortOrder`	`String`	The sort order: A for ascending or D for descending.
`OrdinalPosition`	`Int16`	The sequence number of the column in the index.

sys_connection_props

Returns information on the available connection properties and those set in the connection string.

When querying this table, the config connection string should be used:

jdbc:cdata:pipedrive:config:

This connection string enables you to query this table without a valid connection.

The following query retrieves all connection properties that have been set in the connection string or set through a default value:

SELECT * FROM sys_connection_props WHERE Value <> ''

Columns

Name	Type	Description
`Name`	`String`	The name of the connection property.
`ShortDescription`	`String`	A brief description.
`Type`	`String`	The data type of the connection property.
`Default`	`String`	The default value if one is not explicitly set.
`Values`	`String`	A comma-separated list of possible values. A validation error is thrown if another value is specified.
`Value`	`String`	The value you set or a preconfigured default.
`Required`	`Boolean`	Whether the property is required to connect.
`Category`	`String`	The category of the connection property.
`IsSessionProperty`	`String`	Whether the property is a session property, used to save information about the current connection.
`Sensitivity`	`String`	The sensitivity level of the property. This informs whether the property is obfuscated in logging and authentication forms.
`PropertyName`	`String`	A camel-cased truncated form of the connection property name.
`Ordinal`	`Int32`	The index of the parameter.
`CatOrdinal`	`Int32`	The index of the parameter category.
`Hierarchy`	`String`	Shows dependent properties associated that need to be set alongside this one.
`Visible`	`Boolean`	Informs whether the property is visible in the connection UI.
`ETC`	`String`	Various miscellaneous information about the property.

sys_sqlinfo

Describes the SELECT query processing that the connector can offload to the data source.

Discovering the Data Source's SELECT Capabilities

Below is an example data set of SQL capabilities. Some aspects of SELECT functionality are returned in a comma-separated list if supported; otherwise, the column contains NO.

Name	Description	Possible Values
`AGGREGATE_FUNCTIONS`	Supported aggregation functions.	`AVG`, `COUNT`, `MAX`, `MIN`, `SUM`, `DISTINCT`
`COUNT`	Whether COUNT function is supported.	`YES`, `NO`
`IDENTIFIER_QUOTE_OPEN_CHAR`	The opening character used to escape an identifier.	`[`
`IDENTIFIER_QUOTE_CLOSE_CHAR`	The closing character used to escape an identifier.	`]`
`SUPPORTED_OPERATORS`	A list of supported SQL operators.	`=`, `>`, `<`, `>=`, `<=`, `<>`, `!=`, `LIKE`, `NOT LIKE`, `IN`, `NOT IN`, `IS NULL`, `IS NOT NULL`, `AND`, `OR`
`GROUP_BY`	Whether GROUP BY is supported, and, if so, the degree of support.	`NO`, `NO_RELATION`, `EQUALS_SELECT`, `SQL_GB_COLLATE`
`STRING_FUNCTIONS`	Supported string functions.	`LENGTH`, `CHAR`, `LOCATE`, `REPLACE`, `SUBSTRING`, `RTRIM`, `LTRIM`, `RIGHT`, `LEFT`, `UCASE`, `SPACE`, `SOUNDEX`, `LCASE`, `CONCAT`, `ASCII`, `REPEAT`, `OCTET`, `BIT`, `POSITION`, `INSERT`, `TRIM`, `UPPER`, `REGEXP`, `LOWER`, `DIFFERENCE`, `CHARACTER`, `SUBSTR`, `STR`, `REVERSE`, `PLAN`, `UUIDTOSTR`, `TRANSLATE`, `TRAILING`, `TO`, `STUFF`, `STRTOUUID`, `STRING`, `SPLIT`, `SORTKEY`, `SIMILAR`, `REPLICATE`, `PATINDEX`, `LPAD`, `LEN`, `LEADING`, `KEY`, `INSTR`, `INSERTSTR`, `HTML`, `GRAPHICAL`, `CONVERT`, `COLLATION`, `CHARINDEX`, `BYTE`
`NUMERIC_FUNCTIONS`	Supported numeric functions.	`ABS`, `ACOS`, `ASIN`, `ATAN`, `ATAN2`, `CEILING`, `COS`, `COT`, `EXP`, `FLOOR`, `LOG`, `MOD`, `SIGN`, `SIN`, `SQRT`, `TAN`, `PI`, `RAND`, `DEGREES`, `LOG10`, `POWER`, `RADIANS`, `ROUND`, `TRUNCATE`
`TIMEDATE_FUNCTIONS`	Supported date/time functions.	`NOW`, `CURDATE`, `DAYOFMONTH`, `DAYOFWEEK`, `DAYOFYEAR`, `MONTH`, `QUARTER`, `WEEK`, `YEAR`, `CURTIME`, `HOUR`, `MINUTE`, `SECOND`, `TIMESTAMPADD`, `TIMESTAMPDIFF`, `DAYNAME`, `MONTHNAME`, `CURRENT_DATE`, `CURRENT_TIME`, `CURRENT_TIMESTAMP`, `EXTRACT`
`REPLICATION_SKIP_TABLES`	Indicates tables skipped during replication.
`REPLICATION_TIMECHECK_COLUMNS`	A string array containing a list of columns which will be used to check for (in the given order) to use as a modified column during replication.
`IDENTIFIER_PATTERN`	String value indicating what string is valid for an identifier.
`SUPPORT_TRANSACTION`	Indicates if the provider supports transactions such as commit and rollback.	`YES`, `NO`
`DIALECT`	Indicates the SQL dialect to use.
`KEY_PROPERTIES`	Indicates the properties which identify the uniform database.
`SUPPORTS_MULTIPLE_SCHEMAS`	Indicates if multiple schemas may exist for the provider.	`YES`, `NO`
`SUPPORTS_MULTIPLE_CATALOGS`	Indicates if multiple catalogs may exist for the provider.	`YES`, `NO`
`DATASYNCVERSION`	The Data Sync version needed to access this driver.	`Standard`, `Starter`, `Professional`, `Enterprise`
`DATASYNCCATEGORY`	The Data Sync category of this driver.	`Source`, `Destination`, `Cloud Destination`
`SUPPORTSENHANCEDSQL`	Whether enhanced SQL functionality beyond what is offered by the API is supported.	`TRUE`, `FALSE`
`SUPPORTS_BATCH_OPERATIONS`	Whether batch operations are supported.	`YES`, `NO`
`SQL_CAP`	All supported SQL capabilities for this driver.	`SELECT`, `INSERT`, `DELETE`, `UPDATE`, `TRANSACTIONS`, `ORDERBY`, `OAUTH`, `ASSIGNEDID`, `LIMIT`, `LIKE`, `BULKINSERT`, `COUNT`, `BULKDELETE`, `BULKUPDATE`, `GROUPBY`, `HAVING`, `AGGS`, `OFFSET`, `REPLICATE`, `COUNTDISTINCT`, `JOINS`, `DROP`, `CREATE`, `DISTINCT`, `INNERJOINS`, `SUBQUERIES`, `ALTER`, `MULTIPLESCHEMAS`, `GROUPBYNORELATION`, `OUTERJOINS`, `UNIONALL`, `UNION`, `UPSERT`, `GETDELETED`, `CROSSJOINS`, `GROUPBYCOLLATE`, `MULTIPLECATS`, `FULLOUTERJOIN`, `MERGE`, `JSONEXTRACT`, `BULKUPSERT`, `SUM`, `SUBQUERIESFULL`, `MIN`, `MAX`, `JOINSFULL`, `XMLEXTRACT`, `AVG`, `MULTISTATEMENTS`, `FOREIGNKEYS`, `CASE`, `LEFTJOINS`, `COMMAJOINS`, `WITH`, `LITERALS`, `RENAME`, `NESTEDTABLES`, `EXECUTE`, `BATCH`, `BASIC`, `INDEX`
`PREFERRED_CACHE_OPTIONS`	A string value specifies the preferred cacheOptions.
`ENABLE_EF_ADVANCED_QUERY`	Indicates if the driver directly supports advanced queries coming from Entity Framework. If not, queries will be handled client side.	`YES`, `NO`
`PSEUDO_COLUMNS`	A string array indicating the available pseudo columns.
`MERGE_ALWAYS`	If the value is true, The Merge Mode is forcibly executed in Data Sync.	`TRUE`, `FALSE`
`REPLICATION_MIN_DATE_QUERY`	A select query to return the replicate start datetime.
`REPLICATION_MIN_FUNCTION`	Allows a provider to specify the formula name to use for executing a server side min.
`REPLICATION_START_DATE`	Allows a provider to specify a replicate startdate.
`REPLICATION_MAX_DATE_QUERY`	A select query to return the replicate end datetime.
`REPLICATION_MAX_FUNCTION`	Allows a provider to specify the formula name to use for executing a server side max.
`IGNORE_INTERVALS_ON_INITIAL_REPLICATE`	A list of tables which will skip dividing the replicate into chunks on the initial replicate.
`CHECKCACHE_USE_PARENTID`	Indicates whether the CheckCache statement should be done against the parent key column.	`TRUE`, `FALSE`
`CREATE_SCHEMA_PROCEDURES`	Indicates stored procedures that can be used for generating schema files.

The following query retrieves the operators that can be used in the WHERE clause:

SELECT * FROM sys_sqlinfo WHERE Name = 'SUPPORTED_OPERATORS'

Note that individual tables may have different limitations or requirements on the WHERE clause; refer to the Data Model section for more information.

Columns

Name	Type	Description
`NAME`	`String`	A component of SQL syntax, or a capability that can be processed on the server.
`VALUE`	`String`	Detail on the supported SQL or SQL syntax.

sys_identity

Returns information about attempted modifications.

The following query retrieves the Ids of the modified rows in a batch operation:

SELECT * FROM sys_identity

Columns

Name	Type	Description
`Id`	`String`	The database-generated ID returned from a data modification operation.
`Batch`	`String`	An identifier for the batch. 1 for a single operation.
`Operation`	`String`	The result of the operation in the batch: INSERTED, UPDATED, or DELETED.
`Message`	`String`	SUCCESS or an error message if the update in the batch failed.

sys_information

Describes the available system information.

The following query retrieves all columns:

SELECT * FROM sys_information

Columns

Name	Type	Description
`Product`	`String`	The name of the product.
`Version`	`String`	The version number of the product.
`Datasource`	`String`	The name of the datasource the product connects to.
`NodeId`	`String`	The unique identifier of the machine where the product is installed.
`HelpURL`	`String`	The URL to the product's help documentation.
`License`	`String`	The license information for the product. (If this information is not available, the field may be left blank or marked as 'N/A'.)
`Location`	`String`	The file path location where the product's library is stored.
`Environment`	`String`	The version of the environment or rumtine the product is currently running under.
`DataSyncVersion`	`String`	The tier of Sync required to use this connector.
`DataSyncCategory`	`String`	The category of Sync functionality (e.g., Source, Destination).

Advanced Configurations Properties

The advanced configurations properties are the various options that can be used to establish a connection. This section provides a complete list of the options you can configure. Click the links for further details.

Authentication

Property	Description
`AuthScheme`	Whether to use Basic Authentication or OAuth Authentication when connecting to PipeDrive.
`CompanyDomain`	The company domain used for accessing your Pipedrive account.
`APIToken`	The API Token used for accessing your PipeDrive account.

OAuth

Property	Description
`InitiateOAuth`	Set this property to initiate the process to obtain or refresh the OAuth access token when you connect.
`OAuthClientId`	The client ID assigned when you register your application with an OAuth authorization server.
`OAuthClientSecret`	The client secret assigned when you register your application with an OAuth authorization server.
`OAuthAccessToken`	The access token for connecting using OAuth.
`OAuthSettingsLocation`	The location of the settings file where OAuth values are saved when InitiateOAuth is set to GETANDREFRESH or REFRESH . Alternatively, you can hold this location in memory by specifying a value starting with `'memory://'`.
`CallbackURL`	The OAuth callback URL to return to when authenticating. This value must match the callback URL you specify in your app settings.
`OAuthVerifier`	The verifier code returned from the OAuth authorization URL.
`OAuthRefreshToken`	The OAuth refresh token for the corresponding OAuth access token.
`OAuthExpiresIn`	The lifetime in seconds of the OAuth AccessToken.
`OAuthTokenTimestamp`	The Unix epoch timestamp in milliseconds when the current Access Token was created.

SSL

Property	Description
`SSLServerCert`	The certificate to be accepted from the server when connecting using TLS/SSL.

Schema

Property	Description
`Location`	A path to the directory that contains the schema files defining tables, views, and stored procedures.
`BrowsableSchemas`	This property restricts the schemas reported to a subset of the available schemas. For example, BrowsableSchemas=SchemaA, SchemaB, SchemaC.
`Tables`	This property restricts the tables reported to a subset of the available tables. For example, Tables=TableA, TableB, TableC.
`Views`	Restricts the views reported to a subset of the available tables. For example, Views=ViewA, ViewB, ViewC.

Miscellaneous

Property	Description
`IncludeCustomFields`	Set to true to retrieve custom fields values for deals, organizations, persons and products.
`MaxRows`	Limits the number of rows returned when no aggregation or GROUP BY is used in the query. This takes precedence over LIMIT clauses.
`Other`	These hidden properties are used only in specific use cases.
`PseudoColumns`	This property indicates whether or not to include pseudo columns as columns to the table.
`Timeout`	The value in seconds until the timeout error is thrown, canceling the operation.
`UserDefinedViews`	A filepath pointing to the JSON configuration file containing your custom views.

Authentication

This section provides a complete list of authentication properties you can configure.

Property	Description
`AuthScheme`	Whether to use Basic Authentication or OAuth Authentication when connecting to PipeDrive.
`CompanyDomain`	The company domain used for accessing your Pipedrive account.
`APIToken`	The API Token used for accessing your PipeDrive account.

AuthScheme

Whether to use Basic Authentication or OAuth Authentication when connecting to PipeDrive.

Possible Values

Auto, Basic, OAuth

Data Type

string

Default Value

Auto

Remarks

Whether to use Basic Authentication or OAuth Authentication when connecting to PipeDrive.

CompanyDomain

The company domain used for accessing your Pipedrive account.

Data Type

string

Default Value

""

Remarks

The company Domain used for accessing your Pipedrive account. You can get it manually from the Pipedrive app by logging into your Developer Sandbox account and seeing the URL.

APIToken

The API Token used for accessing your PipeDrive account.

Data Type

string

Default Value

""

Remarks

The API Token can be found in PipeDrive by going to account name (on the top right) -> Company settings -> Personal preferences -> API.

OAuth

This section provides a complete list of OAuth properties you can configure.

Property	Description
`InitiateOAuth`	Set this property to initiate the process to obtain or refresh the OAuth access token when you connect.
`OAuthClientId`	The client ID assigned when you register your application with an OAuth authorization server.
`OAuthClientSecret`	The client secret assigned when you register your application with an OAuth authorization server.
`OAuthAccessToken`	The access token for connecting using OAuth.
`OAuthSettingsLocation`	The location of the settings file where OAuth values are saved when InitiateOAuth is set to GETANDREFRESH or REFRESH . Alternatively, you can hold this location in memory by specifying a value starting with `'memory://'`.
`CallbackURL`	The OAuth callback URL to return to when authenticating. This value must match the callback URL you specify in your app settings.
`OAuthVerifier`	The verifier code returned from the OAuth authorization URL.
`OAuthRefreshToken`	The OAuth refresh token for the corresponding OAuth access token.
`OAuthExpiresIn`	The lifetime in seconds of the OAuth AccessToken.
`OAuthTokenTimestamp`	The Unix epoch timestamp in milliseconds when the current Access Token was created.

InitiateOAuth

Set this property to initiate the process to obtain or refresh the OAuth access token when you connect.

Possible Values

OFF, GETANDREFRESH, REFRESH

Data Type

string

Default Value

OFF

Remarks

The following options are available:

OFF: Indicates that the OAuth flow will be handled entirely by the user. An OAuthAccessToken will be required to authenticate.
GETANDREFRESH: Indicates that the entire OAuth Flow will be handled by the connector. If no token currently exists, it will be obtained by prompting the user via the browser. If a token exists, it will be refreshed when applicable.
REFRESH: Indicates that the connector will only handle refreshing the OAuthAccessToken. The user will never be prompted by the connector to authenticate via the browser. The user must handle obtaining the OAuthAccessToken and OAuthRefreshToken initially.

OAuthClientId

The client ID assigned when you register your application with an OAuth authorization server.

Data Type

string

Default Value

""

Remarks

As part of registering an OAuth application, you will receive the OAuthClientId value, sometimes also called a consumer key, and a client secret, the OAuthClientSecret.

OAuthClientSecret

The client secret assigned when you register your application with an OAuth authorization server.

Data Type

string

Default Value

""

Remarks

As part of registering an OAuth application, you will receive the OAuthClientId, also called a consumer key. You will also receive a client secret, also called a consumer secret. Set the client secret in the OAuthClientSecret property.

OAuthAccessToken

The access token for connecting using OAuth.

Data Type

string

Default Value

""

Remarks

The OAuthAccessToken property is used to connect using OAuth. The OAuthAccessToken is retrieved from the OAuth server as part of the authentication process. It has a server-dependent timeout and can be reused between requests.

The access token is used in place of your user name and password. The access token protects your credentials by keeping them on the server.

OAuthSettingsLocation

The location of the settings file where OAuth values are saved when InitiateOAuth is set to GETANDREFRESH or REFRESH . Alternatively, you can hold this location in memory by specifying a value starting with 'memory://'.

Data Type

string

Default Value

%APPDATA%\Pipedrive Data Provider\OAuthSettings.txt

Remarks

When InitiateOAuth is set to GETANDREFRESH or REFRESH, the connector saves OAuth values to avoid requiring the user to manually enter OAuth connection properties and to allow the credentials to be shared across connections or processes.

Instead of specifying a file path, you can use memory storage. Memory locations are specified by using a value starting with 'memory://' followed by a unique identifier for that set of credentials (for example, memory://user1). The identifier can be anything you choose but should be unique to the user. Unlike file-based storage, where credentials persist across connections, memory storage loads the credentials into static memory, and the credentials are shared between connections using the same identifier for the life of the process. To persist credentials outside the current process, you must manually store the credentials prior to closing the connection. This enables you to set them in the connection when the process is started again. You can retrieve OAuth property values with a query to the sys_connection_props system table. If there are multiple connections using the same credentials, the properties are read from the previously closed connection.

The default location is "%APPDATA%\Pipedrive Data Provider\OAuthSettings.txt" with %APPDATA% set to the user's configuration directory. The default values are

Windows: "register://%DSN"
Unix: "%AppData%..."
Mac: "%AppData%..."

where DSN is the name of the current DSN used in the open connection.

The following table lists the value of %APPDATA% by OS:

Platform	%APPDATA%
`Windows`	The value of the APPDATA environment variable
`Mac`	~/Library/Application Support
`Linux`	~/.config

CallbackURL

The OAuth callback URL to return to when authenticating. This value must match the callback URL you specify in your app settings.

Data Type

string

Default Value

""

Remarks

During the authentication process, the OAuth authorization server redirects the user to this URL. This value must match the callback URL you specify in your app settings.

OAuthVerifier

The verifier code returned from the OAuth authorization URL.

Data Type

string

Default Value

""

Remarks

The verifier code returned from the OAuth authorization URL. This can be used on systems where a browser cannot be launched such as headless systems.

Authentication on Headless Machines

See to obtain the OAuthVerifier value.

Set OAuthSettingsLocation along with OAuthVerifier. When you connect, the connector exchanges the OAuthVerifier for the OAuth authentication tokens and saves them, encrypted, to the specified location. Set InitiateOAuth to GETANDREFRESH to automate the exchange.

Once the OAuth settings file has been generated, you can remove OAuthVerifier from the connection properties and connect with OAuthSettingsLocation set.

To automatically refresh the OAuth token values, set OAuthSettingsLocation and additionally set InitiateOAuth to REFRESH.

OAuthRefreshToken

The OAuth refresh token for the corresponding OAuth access token.

Data Type

string

Default Value

""

Remarks

The OAuthRefreshToken property is used to refresh the OAuthAccessToken when using OAuth authentication.

OAuthExpiresIn

The lifetime in seconds of the OAuth AccessToken.

Data Type

string

Default Value

""

Remarks

Pair with OAuthTokenTimestamp to determine when the AccessToken will expire.

OAuthTokenTimestamp

The Unix epoch timestamp in milliseconds when the current Access Token was created.

Data Type

string

Default Value

""

Remarks

Pair with OAuthExpiresIn to determine when the AccessToken will expire.

SSL

This section provides a complete list of SSL properties you can configure.

Property	Description
`SSLServerCert`	The certificate to be accepted from the server when connecting using TLS/SSL.

SSLServerCert

The certificate to be accepted from the server when connecting using TLS/SSL.

Data Type

string

Default Value

""

Remarks

If using a TLS/SSL connection, this property can be used to specify the TLS/SSL certificate to be accepted from the server. Any other certificate that is not trusted by the machine is rejected.

This property can take the following forms:

Description	Example
A full PEM Certificate (example shortened for brevity)	`-----BEGIN CERTIFICATE----- MIIChTCCAe4CAQAwDQYJKoZIhv......Qw== -----END CERTIFICATE-----`
A path to a local file containing the certificate	`C:\\cert.cer`
The public key (example shortened for brevity)	`-----BEGIN RSA PUBLIC KEY----- MIGfMA0GCSq......AQAB -----END RSA PUBLIC KEY-----`
The MD5 Thumbprint (hex values can also be either space or colon separated)	`ecadbdda5a1529c58a1e9e09828d70e4`
The SHA1 Thumbprint (hex values can also be either space or colon separated)	`34a929226ae0819f2ec14b4a3d904f801cbb150d`

If not specified, any certificate trusted by the machine is accepted.

Certificates are validated as trusted by the machine based on the System's trust store. The trust store used is the 'javax.net.ssl.trustStore' value specified for the system. If no value is specified for this property, Java's default trust store is used (for example, JAVA_HOME\lib\security\cacerts).

Use '*' to signify to accept all certificates. Note that this is not recommended due to security concerns.

Schema

This section provides a complete list of schema properties you can configure.

Property	Description
`Location`	A path to the directory that contains the schema files defining tables, views, and stored procedures.
`BrowsableSchemas`	This property restricts the schemas reported to a subset of the available schemas. For example, BrowsableSchemas=SchemaA, SchemaB, SchemaC.
`Tables`	This property restricts the tables reported to a subset of the available tables. For example, Tables=TableA, TableB, TableC.
`Views`	Restricts the views reported to a subset of the available tables. For example, Views=ViewA, ViewB, ViewC.

Location

A path to the directory that contains the schema files defining tables, views, and stored procedures.

Data Type

string

Default Value

%APPDATA%\Pipedrive Data Provider\Schema

Remarks

The path to a directory which contains the schema files for the connector (.rsd files for tables and views, .rsb files for stored procedures). The folder location can be a relative path from the location of the executable. The Location property is only needed if you want to customize definitions (for example, change a column name, ignore a column, and so on) or extend the data model with new tables, views, or stored procedures.

If left unspecified, the default location is "%APPDATA%\Pipedrive Data Provider\Schema" with %APPDATA% being set to the user's configuration directory:

Platform	%APPDATA%
`Windows`	The value of the APPDATA environment variable
`Mac`	~/Library/Application Support
`Linux`	~/.config

BrowsableSchemas

This property restricts the schemas reported to a subset of the available schemas. For example, BrowsableSchemas=SchemaA,SchemaB,SchemaC.

Data Type

string

Default Value

""

Remarks

Listing the schemas from databases can be expensive. Providing a list of schemas in the connection string improves the performance.

Tables

This property restricts the tables reported to a subset of the available tables. For example, Tables=TableA,TableB,TableC.

Data Type

string

Default Value

""

Remarks

Listing the tables from some databases can be expensive. Providing a list of tables in the connection string improves the performance of the connector.

This property can also be used as an alternative to automatically listing views if you already know which ones you want to work with and there would otherwise be too many to work with.

Specify the tables you want in a comma-separated list. Each table should be a valid SQL identifier with any special characters escaped using square brackets, double-quotes or backticks. For example, Tables=TableA,[TableB/WithSlash],WithCatalog.WithSchema.`TableC With Space`.

Note that when connecting to a data source with multiple schemas or catalogs, you will need to provide the fully qualified name of the table in this property, as in the last example here, to avoid ambiguity between tables that exist in multiple catalogs or schemas.

Views

Restricts the views reported to a subset of the available tables. For example, Views=ViewA,ViewB,ViewC.

Data Type

string

Default Value

""

Remarks

Listing the views from some databases can be expensive. Providing a list of views in the connection string improves the performance of the connector.

This property can also be used as an alternative to automatically listing views if you already know which ones you want to work with and there would otherwise be too many to work with.

Specify the views you want in a comma-separated list. Each view should be a valid SQL identifier with any special characters escaped using square brackets, double-quotes or backticks. For example, Views=ViewA,[ViewB/WithSlash],WithCatalog.WithSchema.`ViewC With Space`.

Note that when connecting to a data source with multiple schemas or catalogs, you will need to provide the fully qualified name of the table in this property, as in the last example here, to avoid ambiguity between tables that exist in multiple catalogs or schemas.

Miscellaneous

This section provides a complete list of miscellaneous properties you can configure.

Property	Description
`IncludeCustomFields`	Set to true to retrieve custom fields values for deals, organizations, persons and products.
`MaxRows`	Limits the number of rows returned when no aggregation or GROUP BY is used in the query. This takes precedence over LIMIT clauses.
`Other`	These hidden properties are used only in specific use cases.
`PseudoColumns`	This property indicates whether or not to include pseudo columns as columns to the table.
`Timeout`	The value in seconds until the timeout error is thrown, canceling the operation.
`UserDefinedViews`	A filepath pointing to the JSON configuration file containing your custom views.

IncludeCustomFields

Set to true to retrieve custom fields values for deals, organizations, persons and products.

Data Type

bool

Default Value

true

Remarks

Set to true to retrieve custom fields values for deals, organizations, persons and products.

MaxRows

Limits the number of rows returned when no aggregation or GROUP BY is used in the query. This takes precedence over LIMIT clauses.

Data Type

int

Default Value

-1

Remarks

Limits the number of rows returned when no aggregation or GROUP BY is used in the query. This takes precedence over LIMIT clauses.

Other

These hidden properties are used only in specific use cases.

Data Type

string

Default Value

""

Remarks

The properties listed below are available for specific use cases. Normal driver use cases and functionality should not require these properties.

Specify multiple properties in a semicolon-separated list.

Integration and Formatting

Property	Description
`DefaultColumnSize`	Sets the default length of string fields when the data source does not provide column length in the metadata. The default value is 2000.
`ConvertDateTimeToGMT`	Determines whether to convert date-time values to GMT, instead of the local time of the machine.
`RecordToFile=filename`	Records the underlying socket data transfer to the specified file.

PseudoColumns

This property indicates whether or not to include pseudo columns as columns to the table.

Data Type

string

Default Value

""

Remarks

This setting is particularly helpful in Entity Framework, which does not allow you to set a value for a pseudo column unless it is a table column. The value of this connection setting is of the format "Table1=Column1, Table1=Column2, Table2=Column3". You can use the "*" character to include all tables and all columns; for example, "*=*".

Timeout

The value in seconds until the timeout error is thrown, canceling the operation.

Data Type

int

Default Value

60

Remarks

If Timeout = 0, operations do not time out. The operations run until they complete successfully or until they encounter an error condition.

If Timeout expires and the operation is not yet complete, the connector throws an exception.

UserDefinedViews

A filepath pointing to the JSON configuration file containing your custom views.

Data Type

string

Default Value

""

Remarks

User Defined Views are defined in a JSON-formatted configuration file called UserDefinedViews.json. The connector automatically detects the views specified in this file.

You can also have multiple view definitions and control them using the UserDefinedViews connection property. When you use this property, only the specified views are seen by the connector.

This User Defined View configuration file is formatted as follows:

Each root element defines the name of a view.
Each root element contains a child element, called query, which contains the custom SQL query for the view.

For example:

{
    "MyView": {
        "query": "SELECT * FROM Deals WHERE MyColumn = 'value'"
    },
    "MyView2": {
        "query": "SELECT * FROM MyTable WHERE Id IN (1,2,3)"
    }
}

Use the UserDefinedViews connection property to specify the location of your JSON configuration file. For example:

"UserDefinedViews", C:\Users\yourusername\Desktop\tmp\UserDefinedViews.json

Note that the specified path is not embedded in quotation marks.