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

A common mistake is accessing _json directly; webhook data is actually nested under the body property, so you should use _json['body']['your_field'].

Should I use JavaScript or Python in n8n?

JavaScript is recommended for 95% of use cases due to better helper functions and documentation. Use Python specifically for standard library features like complex regex, math, or statistics.

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

No, n8n Python nodes are restricted to the Python standard library. For HTTP requests, use the n8n HTTP Request node or switch to JavaScript which supports $helpers.httpRequest.

What is the mandatory return format for an n8n Python Code node?

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

n8n Python Logic Specialist

Name: n8n Python Logic Specialist
Author: AeyeOps

byAeyeOps

0•

Productivity & Workflow

Streamlines the development of Python scripts within n8n Code nodes for advanced data transformations and workflow logic.

The n8n Python Logic Specialist skill provides expert guidance for implementing Python scripts directly within n8n workflows. It helps developers navigate the platform's specific execution environment, ensuring correct usage of data accessors like _input and _node, adherence to the mandatory list-of-dictionaries return format, and efficient use of the Python standard library. By focusing on best practices for data transformation, regex processing, and statistical analysis, this skill prevents common errors such as attempting to import external libraries or mishandling nested webhook body structures.

Key Features

01Guidance on Python Standard Library implementation (re, datetime, statistics)

02Error prevention for webhook data structures and return format requirements

030 GitHub stars

04Expert patterns for n8n-specific Python accessors (_input, _json, _node)

05Standardized data transformation templates using list comprehensions

06Optimization for 'Run Once' vs 'Each Item' execution modes

Use Cases

01Performing complex statistical analysis on workflow data using the Python statistics module

02Advanced string manipulation and pattern extraction using Python's regex engine

03Cleaning and validating large datasets before transmission to external APIs

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add aeyeops/aeo-skill-marketplace n8n-code-python

For use in Claude.ai and ChatGPT

Download Skill