Create Array of Objects Using Function Nodes
Demonstrates generating mock data as an array of objects and transforming it into a single structured array using n8n Function nodes.
This workflow showcases a simple yet powerful technique in n8n for creating and manipulating arrays of objects using the Function node. It starts with a 'Mock Data' Function node that outputs three sample items, each containing a JSON object with 'id' and 'name' properties (e.g., Jim, Stefan, Hans). The second 'Create an array of objects' Function node then aggregates these items into a single output item, where 'data_object' holds the full array of all incoming JSON objects.
The benefits are clear for developers and automators: it teaches how to bypass per-item processing limitations of other nodes, enabling custom JavaScript logic to reshape data efficiently. This saves time on data preparation tasks, reduces node count in complex workflows, and provides a reusable pattern for batching or nesting data without external services.
Ideal use cases include preparing data for API payloads, email marketing lists (e.g., compiling customer arrays for Mailchimp), reporting dashboards, or any scenario needing dynamic array creation from scattered inputs. It's perfect for beginners learning n8n's code capabilities and pros optimizing transformations.
Extend it by replacing mock data with real inputs from triggers like webhooks or databases, making it versatile for production automation in marketing, IT, or dev tools.
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How to import this workflow into n8n
- 1Purchase or download the workflow to get the n8n workflow JSON file.
- 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
- 3Open each node marked with a credential warning and connect your own accounts and API keys.
- 4Run the workflow once manually to verify the data flow, then toggle it to Active.
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