Can I use external libraries like Pandas or Requests in n8n Python nodes?

No, n8n Code nodes only support the Python standard library (e.g., json, datetime, re, math). For HTTP requests, use the native n8n HTTP Request node.

When should I use Python instead of JavaScript in n8n?

Use Python when you need specific standard library functions (like statistics), or when you are significantly more comfortable with Python syntax for complex data manipulation.

What is the correct return format for an n8n Python node?

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

How do I access data from a Webhook node in Python?

Webhook data is nested under the 'body' key. Use _json.get('body', {}) or _json['body'] to access the incoming payload safely.

n8n Python Code Node Expert

Name: n8n Python Code Node Expert
Author: ProfSynapse

byProfSynapse

•

생산성 및 워크플로

Guides the implementation of Python logic within n8n Code nodes while ensuring compliance with platform-specific data structures and library limitations.

This skill provides specialized assistance for developers writing Python within n8n automation workflows. It helps navigate the unique constraints of the n8n environment, such as the strict requirement to use only the Python standard library and the specific return format of list-wrapped dictionaries. By providing patterns for data access helpers like _input, _json, and _node, the skill ensures that developers can efficiently transform data, perform statistical analysis, and handle complex logic without common pitfalls like incorrect webhook nesting or illegal external imports. It is an essential companion for optimizing workflow performance between 'Run Once' and 'Each Item' execution modes.

주요 기능

01Comparison and selection logic for Python Beta vs. Native modes

0240 GitHub stars

03Error prevention for common webhook data nesting mistakes

04Standardized templates for n8n-compatible Python return formats

05Best practices for data transformation using the Python standard library

06Expert guidance on using n8n-specific helpers like _input and _node

사용 사례

01Conducting statistical analysis on workflow data using the built-in statistics module

02Performing complex data transformations and filtering with Pythonic list comprehensions

03Cleaning and validating input data from webhooks before routing to downstream APIs

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add profsynapse/pact-plugin n8n-code-python

For use in Claude.ai and ChatGPT

Download Skill