Automate JSON aggregation with n8n's Function node to transform scattered records into structured arrays, streamlining API integrations and boosting data processing efficiency.
This workflow demonstrates how to collect and aggregate multiple individual JSON objects into a single array, nested within a single output item. The initial "Mock Data" node serves as a data source, generating three separate n8n items, each containing a distinct JSON object with `id` and `name` properties. This simulates a common scenario where data arrives as individual records. The subsequent "Create an array of objects" Function node then processes these incoming items. It iterates through each item, extracts its core JSON data, and consolidates them into a new, single array. This array is then assigned to a property named `data_object` within a *single* final JSON output item. This pattern is highly useful for preparing data to be sent to APIs or services that expect an array of objects in a single payload, effectively transforming a stream of individual records into a batch-ready structure.
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Automate JSON aggregation with n8n's Function node to transform scattered records into structured arrays, streamlining API integrations and boosting data processing efficiency.
Click the "Download Workflow" button above to get the JSON file.
In your n8n instance, go to Workflows → Import and select the JSON file.
Set up your Function and other service credentials in n8n.
Activate the workflow and test it to ensure everything works correctly.
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