ba-n8n-python-code

To use Python in n8n Code nodes for data transformation, write scripts using only the Python standard library. Access input data via _input.all(), _input.first(), or _input.item, apply transformations, and return a list of dictionaries with a json key.

No, you cannot use external Python libraries in n8n Code nodes. The platform enforces a standard-library-only constraint, meaning you must implement data validations and lightweight logic using built-in Python modules within your workflow.

To handle webhook body data in n8n Python Code nodes, access the payload safely using _json["body"] and retrieve fields with the .get() method. This prevents key errors and ensures robust data validation before processing.

The correct return format for Python scripts in n8n is a list of dictionaries containing a json key. This structure ensures the workflow properly parses your transformed data and passes it to subsequent nodes.

Python code fails when referencing other nodes if you do not use the correct _node syntax. To pull data from specific workflow nodes, use _node to reference them properly and ensure standard library data transformations execute safely.

Yes, n8n supports Python data validation for webhook payloads. You can use standard library modules to validate incoming _json["body"] data, apply lightweight logic, and format the output before passing it downstream in the workflow.