Generate and split sample data records using JavaScript and Python

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Important notice

This workflow is provided as-is. Please review and test before using in production.

1. Workflow Overview

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 Ou...

Best for

Engineering automation workflows
intermediate n8n builders looking for reusable templates

Tools used

n8n-nodes-base.stickynote, n8n-nodes-base.code, n8n-nodes-base.manualtrigger, n8n-nodes-base.splitout

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Robert Breen.

Original n8n.io source

1.1 Workflow description

Title: Generate and split sample data records using JavaScript and Python
Workflow name: 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.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 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)?

📧 [email protected]
🔗 Robert Breen — https://www.linkedin.com/in/robert-breen-29429625/
🌐 ynteractive.com — https://ynteractive.com

1.2 Logical Blocks

This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.

2. Block-by-Block Analysis

Block 1 - Sticky Note1

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 2 - Sticky Note10

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 3 - Generate Data Javascript

Type / Role: n8n-nodes-base.code - code
Config choices: Version 2

Block 4 - Generate Data Python

Type / Role: n8n-nodes-base.code - code
Config choices: Version 2

Block 5 - Start Workflow

Type / Role: n8n-nodes-base.manualTrigger - manualTrigger
Config choices: Version 1

Block 6 - Split Out Javascript

Type / Role: n8n-nodes-base.splitOut - splitOut
Config choices: Version 1

Block 7 - Split Out Python

Type / Role: n8n-nodes-base.splitOut - splitOut
Config choices: Version 1

3. Summary Table

Workflow	Generate and split sample data records using JavaScript and Python
Complexity	intermediate
Nodes	7
Categories	Engineering
Author	Robert Breen
Published	03 Sept 2025

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/8230/8230.json as the source template for this automation.
2. Import the template into n8n

Open n8n, import the downloaded JSON, and review each node before activating the workflow.
3. Configure credentials and variables

Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
4. Test with sample data

Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
5. Activate and monitor

Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.

Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.

Download workflow JSON Original n8n.io source Engineering workflows

Frequently asked questions

What does Generate and split sample data records using JavaScript and Python do?

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Engineering use case.

Robert Breen

90 workflows

Nodes

n8n-nodes-base.stickynote n8n-nodes-base.code n8n-nodes-base.manualtrigger n8n-nodes-base.splitout

Complexity

intermediate

Published 03 Sept 2025

Likes 0

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Install path: /data/workflows/8230/8230.json

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Generate and split sample data records using JavaScript and Python

Workflow preview

Important notice

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

✅ What this template does

👤 Who’s it for

⚙️ How it works / What it does

🛠️ How to set up

📋 Requirements

🎛️ Customize the workflow

🗒️ Notes

📬 Contact

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - Sticky Note1

Block 2 - Sticky Note10

Block 3 - Generate Data Javascript

Block 4 - Generate Data Python

Block 5 - Start Workflow

Block 6 - Split Out Javascript

Block 7 - Split Out Python

3. Summary Table

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

2. Import the template into n8n

3. Configure credentials and variables

4. Test with sample data

5. Activate and monitor

5. General Notes & Resources

Frequently asked questions