Airtable Batch Processing Automated Workflow

This n8n workflow automates batch processing of records between a custom data source and Airtable, supporting upsert, insert, or update operations. It enables seamless handling of large datasets by splitting data into manageable batches, ensuring efficient API usage and compliance with rate limits. The workflow begins with manual trigger or test data simulation, then processes records through various nodes including splitting, batching, and conditional logic for operation mode. It integrates Airtable’s API for data manipulation, incorporating retry mechanisms and rate limiting to prevent API throttling. Practical use cases include maintaining large Airtable bases with synchronized external data sources or automating bulk data updates for data integrity and workflow efficiency.