Overview
This Data Flow template is made up of two Data Operations that allow app builders to update a record in Airtable.This is achieved by connecting with the Airtable integration, passing data to this Data Flow and then updating a record with such data.
In Connections Builder, Data Flow templates can be found with pre-populated sample data. However, to meet the requirements of their Journey, app builders should perform the necessary adjustments, such as adding other Data Ops.
Bear in mind that in order to use the Airtable API as a datasource, credentials must be set in Settings > Integrations to connect the corresponding account.
Data Operations
This Data Flow contains four parts:
Inputs
The Start pane keeps track of the inputs required by the Data Flow.
- Service: Airtable API
- Method: PATCH - to update adding new data
- URL: URL endpoint for the request
- Allow non-compliant HTTP headers: box unchecked
- Content-Type: “application/json”
- Headers: HTTP Parameter
- Body: passing “fields” and “id” as JSON objects to the requested body
- Query Parameters: no parameter set
- Form Parameters: no parameter set
- Had paging?: box unchecked
- Run Results: AirData Variable of type Any that is automatically created to hold the results of this Operation.
- result
- rawResult
- request
- Transform Expression: Airscript expression to merge records by ID in Airtable
- Output Format: Variable
- Type: Text
- Run Results: transform output Variable of type Any that is automatically created to hold the result of this Operation.
Output
The End step is where variables from the Data Flow can be used as an output.
- Sample Return Value: transform of type Any
Use Cases
- Allow app builders to update a record in Airtable.