Automated Airtable Batch Processing Workflow

This n8n workflow automates batch processing of records in Airtable, supporting insert, update, and upsert operations for efficient data management. Starting with a manual trigger, the workflow splits incoming data into batches of 10 records for manageable processing. It utilizes a subprocess to handle Airtable API calls for each batch, ensuring each operation (insert, update, or upsert) is executed correctly based on the specified mode. The workflow intelligently manages rate limits by incorporating wait periods and retry mechanisms, preventing API throttling and errors. Sticky notes within the workflow provide guidance on configuration and API limits, making it user-friendly for setup and customization. This automation is particularly useful for regularly syncing or updating large datasets in Airtable, such as bulk data imports or synchronized records from other systems.