Automated Airtable Data Upsert Workflow

This n8n workflow automates the process of batching and upserting data into Airtable. It is designed to efficiently manage large datasets by splitting records into batches, processing each batch, and upserting data via Airtable’s API. The workflow starts with a trigger (Batch_Airtable), splitting data into smaller chunks for batch processing. It uses switch nodes to direct flow based on mode, then summarizes and compiles records for each batch. The main steps involve inserting or updating records in Airtable, with logical branching for batch processing, making it suitable for scenarios where bulk data synchronization or periodic updates are needed. This workflow is ideal for automating data management tasks like importing CRM contacts, product data, or other large datasets into Airtable, ensuring efficiency and consistency.