This n8n workflow automates the process of retrieving and processing customer data in batches upon manual trigger. It starts with a manual trigger to initiate the workflow, then fetches all customer records from a custom datastore node. The data is split into batches for efficient processing, and a looping mechanism iterates through each batch. The workflow includes a wait node to control pacing between iterations, and checks if all data has been processed to determine whether to continue looping. The collected data is merged at the end for further use. This setup is ideal for managing large datasets, performing batch updates, or ongoing data analysis in a customer management system.
Automated Customer Data Processing Loop
Node Count | 6 – 10 Nodes |
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Nodes Used | code, if, manualTrigger, n8nTrainingCustomerDatastore, noOp, splitInBatches, wait |
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