n8n-code-python

To write Python in n8n Code nodes safely, use _input.all() or _input.first() for data access, apply .get() for safe dictionary lookups, and return results as a list of objects each containing a json key to prevent workflow errors.

No, you cannot use external Python packages in n8n Code nodes. You are restricted to the Python standard library, using built-in modules like json, datetime, re, base64, and hashlib for data transformation and lightweight processing tasks.

The required return format for n8n Python scripts is a list of items where each item is an object containing a json key. This strict structure ensures your Code node correctly passes the processed data downstream to subsequent workflow nodes.

To handle webhook payload data in n8n Python Code nodes, access the data under the body key and use safe dictionary access with .get() to extract values. This prevents runtime errors if expected keys are missing from the incoming webhook request.

Python scripts in n8n Code nodes fail during data access when standard dictionary syntax is used instead of safe access methods. Use _input.item or _input.all() patterns with .get() to avoid KeyErrors and ensure reliable workflow execution.

Yes, n8n supports Python for batch processing in workflows using the Code node. You can process multiple items simultaneously by accessing the full dataset with _input.all() and returning a list of json objects for downstream automation.