Generate and Split Sample Data Records Using JavaScript and Python
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`, and `test` - Writes the array to `item.json` - 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 `barr` and 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)? - 📧 **rbreen@ynteractive.com** - 📞 **Robert Breen** - https://www.linkedin.com/in/robert-breen-29429625/ - 🌐 **ynteractive.com** - https://ynteractive.com
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 - 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 elementUse 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)?
- 📧 rbreen@ynteractive.com
- 📞 Robert Breen - https://www.linkedin.com/in/robert-breen-29429625/
- 🌐 ynteractive.com - https://ynteractive.com
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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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