Why is JavaScript often recommended over Python in n8n?

JavaScript has access to more built-in n8n helper functions (like $helpers.httpRequest) and the Luxon library for dates, which are not currently available in the Python environment.

Can I use libraries like pandas or requests in n8n Python nodes?

No, n8n Python nodes are currently limited to the Python standard library. For HTTP requests, you should use the n8n HTTP Request node or switch to JavaScript.

How do I access webhook body data in the Python node?

Webhook data is nested. You should access it using _json['body'] rather than accessing _json directly, as n8n wraps the request payload in a body property.

What is the correct return format for n8n Python code?

You must always return a list of dictionaries where each dictionary has a 'json' key, for example: return [{'json': {'data': 'value'}}].

n8n Python Code Helper

Name: n8n Python Code Helper
Author: echoleesong

byecholeesong

Productivity & Workflow

Provides expert guidance for writing Python scripts within n8n Code nodes, focusing on data access and environment limitations.

About

This skill equips Claude with specialized knowledge for developing Python-based logic within n8n automation workflows. It ensures code follows n8n-specific syntax such as _input.all() and _json, enforces the mandatory list-of-dictionaries return format, and navigates the constraints of the n8n execution environment, such as the lack of external libraries. It is an essential companion for developers who need to perform complex data transformations or statistical analysis where Python's standard library outperforms JavaScript-based alternatives.

Key Features

n8n-specific Python syntax guidance (_input, _json, _node helpers)
Standard library constraint enforcement (no external packages)
Webhook data structure navigation (body nesting handling)
0 GitHub stars
Mandatory return format validation ([{'json': {...}}])
Execution mode selection (Run Once vs. Run for Each Item)

Use Cases

Advanced string processing and regex extraction within automation workflows
Basic statistical analysis using the Python statistics and math modules
Complex data transformations using Python list comprehensions and dictionaries

About

Key Features

n8n-specific Python syntax guidance (_input, _json, _node helpers)
Standard library constraint enforcement (no external packages)
Webhook data structure navigation (body nesting handling)
0 GitHub stars
Mandatory return format validation ([{'json': {...}}])
Execution mode selection (Run Once vs. Run for Each Item)

Use Cases

Advanced string processing and regex extraction within automation workflows
Basic statistical analysis using the Python statistics and math modules
Complex data transformations using Python list comprehensions and dictionaries