What is the mandatory return format for Python in n8n?

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

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

No, n8n Python nodes currently only support the Python Standard Library (e.g., json, datetime, re, math). For HTTP requests, you should use the n8n HTTP Request node or JavaScript.

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

Webhook data is nested under the 'body' key. Use _json['body']['field_name'] or _json.get('body', {}).get('field_name') for safer access.

What is the difference between Python (Beta) and Python (Native)?

Python (Beta) includes n8n-specific helpers like _input and _now, making it easier to integrate with the workflow. Python (Native) is restricted to standard Python variables like _items.

n8n Python Code Expert

Name: n8n Python Code Expert
Author: sromeroubisos

bysromeroubisos

0•

生産性とワークフロー

Streamlines the creation and debugging of Python scripts within n8n Code nodes using platform-specific syntax and best practices.

This skill provides expert guidance for implementing Python logic within n8n workflows, focusing on the unique requirements of n8n’s internal execution environment. It helps developers navigate the differences between Python (Beta) and Python (Native) modes, ensures data is returned in the mandatory list-of-dictionaries format, and prevents common pitfalls such as attempting to use external libraries. Whether you are performing complex data transformations, statistical analysis, or advanced string processing, this skill ensures your Python code is optimized for performance and reliability within the n8n ecosystem.

主な機能

010 GitHub stars

02Expert guidance on n8n-specific Python helpers like _input, _json, and _node

03Validation of return formats to ensure [{"json": {}}] compliance

04Detailed patterns for data transformation and list comprehensions

05Guidance on utilizing the Python standard library within platform constraints

06Troubleshooting for common errors like Webhook body nesting and import failures

ユースケース

01Performing advanced statistical calculations using the built-in statistics module

02Bulk data transformation and filtering using Pythonic list comprehensions

03Complex regex-based string parsing and data extraction from unstructured text

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add sromeroubisos/grupo-22-scores n8n-code-python

For use in Claude.ai and ChatGPT

主な機能

010 GitHub stars

02Expert guidance on n8n-specific Python helpers like _input, _json, and _node

03Validation of return formats to ensure [{"json": {}}] compliance

04Detailed patterns for data transformation and list comprehensions

05Guidance on utilizing the Python standard library within platform constraints

06Troubleshooting for common errors like Webhook body nesting and import failures

ユースケース

01Performing advanced statistical calculations using the built-in statistics module

02Bulk data transformation and filtering using Pythonic list comprehensions

03Complex regex-based string parsing and data extraction from unstructured text