Export an Apify dataset to Airtable
alaudin burki
Writes a dataset's rows into an Airtable table, appending them or updating existing records by a key you choose. Point it at a dataset ID and a base, and the rows land with the field mapping you set.
Input
Output fields
Sign up on Apify or log in
The Dataset to Airtable — Reliable Field Mapping Actor is ready to run with the inputs already set for "Export an Apify dataset to Airtable". Sign up or log in and you'll land in Apify Console with a copy of this exact task.
Start the "Export an Apify dataset to Airtable" task
The Dataset to Airtable — Reliable Field Mapping Actor will start running based on the input automatically. You can also change all the input fields, like base id and table name or id, to match your specific use case.
Receive the "Export an Apify dataset to Airtable" output
Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as item index, status, airtable record id, and more.
Integrate into your workflow
The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Export an Apify dataset to Airtable" task via API.
