SplitInBatches noItemsLeft: Batch Processing Loop Example

This workflow showcases how to implement a batch processing loop in n8n using the SplitInBatches node combined with its 'noItemsLeft' context variable. It starts with a Manual Trigger, followed by a Function node generating mock data (10 items), which is then split into batches of size 1 by the SplitInBatches node. An IF node checks if noItemsLeft is true, routing to a Set node to confirm completion when all batches are processed; otherwise, it loops back for the next batch.

The key innovation is leveraging the expression {{$node["SplitInBatches"].context["noItemsLeft"]}} in the IF node, which returns true only after all input items are exhausted. This prevents infinite loops and ensures clean termination, making it reliable for production use.

Benefits include avoiding workflow timeouts on large datasets, efficient API pagination, and scalable data transformations. Use cases: bulk email sends, database migrations, API rate limiting, or processing CSV/JSON exports. Replace the Function node with your data source (e.g., HTTP Request, Google Sheets) and adjust batch size for optimal performance.

Customization is straightforward: connect post-processing nodes (e.g., HTTP Request) to the false output of IF, and final actions to the true output. This pattern saves hours of manual scripting and is essential for enterprise-scale automations.