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A minimal, plug-and-play workflow that generates sample data using n8n’s Code node (both JavaScript and Python versions included) and then fans out those records into individual items with Split Out. Perfect for testing downstream nodes, mapping, pagination, or prototyping list-based logic without connecting to real data sources.
✅ What this template does
- Generates 20 sample records with fields:
index,num, andtest - Writes the array to
item.json.barr - Uses Split Out to convert the array into one item per record
- Includes both JavaScript and Python implementations side-by-side
👤 Who’s it for
- Builders who need mock data to test mappings and loops
- Educators/demo makers who want a simple fan-out pattern
- Anyone who wants a clean scaffold for list processing in n8n
⚙️ How it works / What it does
- Generate Data Javascript: Produces
barr = [{ index, num, test }, ...]for 20 rows - Generate Data Python: Same output, written in Python
- Split Out Javascript / Python: Takes
barrand emits one item per element
Use either branch (JS or Python) depending on your preference.
🛠️ How to set up
No external setup required. Import the workflow and Execute.
Select either the JavaScript or Python branch to see fan-out items.
📋 Requirements
- n8n (Cloud or self-hosted)
- No credentials or third-party services
🎛️ Customize the workflow
- Change the number of rows: adjust the loop range (
0..N) - Rename or add fields to each record (e.g.,
name,price,tags) - Replace the static array with generated or randomized data
- Pipe the Split Out output into Set, Function, HTTP, or Sheets nodes for further testing
🗒️ Notes
- Sticky notes are included for in-editor guidance.
- Both implementations return the same structure so you can swap freely.
📬 Contact
Need help customizing this (e.g., shaping fields, adding randomizers, or exporting to CSV/Sheets)?