Batch processing of records in Airtable

• Automate bulk updates to Airtable records
• Efficiently insert new records into Airtable tables
• Perform upserts based on existing record conditions
• Manage data synchronization between different applications
• Handle rate limits and retries for reliable data processing

Trigger the workflow manually or automatically based on a defined event Generate random data or use existing data for processing Split records into manageable batches for processing Determine the action (update, insert, or upsert) based on conditions Send requests to Airtable for each batch and handle responses Implement rate limiting and retry mechanisms to ensure successful data processing

1. 1
   Import the workflow template into your n8n instance
2. 2
   Configure Airtable credentials for authentication
3. 3
   Set the base ID and table name for your Airtable records
4. 4
   Define the fields to merge on for upsert operations
5. 5
   Test the workflow to ensure it processes records as expected