Batch Processing with Conditional Loop in n8n

This workflow demonstrates an efficient way to process data in batches within n8n, with a conditional check to determine when to terminate processing. Starting with a manual trigger, the workflow generates a list of 10 items using a Function node, which are then split into individual batches of one item each with the SplitInBatches node. As each item is processed, an If node checks whether the current batch index equals 5, signaling the halfway point. If the condition is met, a Set node updates the message to indicate the loop has ended. This setup is particularly useful for scenarios requiring batch processing with conditional control, such as managing large datasets, performing phased updates, or controlling processing flow based on runtime conditions.