CData Python Connector for Pipedrive

Build 25.0.9539

ActivitiesParticipants

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.

  • ActivitiesId supports the '=' operator.
  • FilterId supports the '=' operator.
  • OwnerId supports the '=' operator.
  • DealId supports the '=' operator.
  • LeadId supports the '=' operator.
  • PersonId supports the '=' operator.
  • OrgId supports the '=' operator.
  • Done supports the '=' operator.

For example, the following query is processed server side:

SELECT * FROM ActivitiesParticipants WHERE ActivitiesId = 246

SELECT * FROM ActivitiesParticipants WHERE Done = true

SELECT * FROM ActivitiesParticipants WHERE PersonId = 1
 
SELECT * FROM ActivitiesParticipants WHERE DealId = 2

SELECT * FROM ActivitiesParticipants WHERE OrgId = 1                  

Columns

Name Type References Description
ParticipantPersonId [KEY] Integer ParticipantPersonId
ActivitiesId [KEY] Integer

Activities.Id

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
FilterId Integer The ID of the Filter to use.
OwnerId Integer The id of the owner of the activity.
DealId Integer The id of the deal corresponding to the activity
LeadId String The Id of the lead corresponding to the activity.
PersonId Integer The id of the person corresponding to the activity.
OrgId Integer The id of the organisation corresponding to the activity.
Done Boolean Whether the Activity is done or not. If omitted, returns both Done and Not done activities.

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Build 25.0.9539