Automated Data Sync Between Airtable and Postgres

This n8n workflow automates data synchronization between Airtable and a Postgres database, with additional webhooks and data validation. It begins by receiving webhook triggers to handle incoming data from Airtable or other sources. The workflow includes steps to validate database credentials, fetch schemas, and detect existing tables. It then processes each data item through batch looping, conditionally creating, updating, or deleting records in both Airtable and Postgres based on user or system criteria. The workflow also includes error handling, success/failure messaging, and webhook responses, making it ideal for dynamic data management scenarios. Practical use cases include automating CRM data updates, synchronizing project management tools, and maintaining data consistency across multiple platforms without manual intervention.