n8n-code-python

To write Python logic inside n8n Code nodes, access incoming data via _input.all() or _input.first(), use Python's standard library for transformations, and return a list of dictionaries each containing a "json" key.

No, you cannot use external Python packages in n8n Code nodes. You must rely exclusively on Python's built-in standard library modules to perform tasks like JSON handling, datetime calculations, and regex parsing.

The required return format for Python code in n8n workflows is a list of dictionaries, where each dictionary contains a "json" key, such as [{"json": {"processed": true}}], ensuring n8n correctly parses the output items.

To handle webhook payloads in an n8n Python Code node, access the incoming payload data using safe access patterns like _input.first(), validate the fields using standard library tools, and return the transformed data in the required json dictionary format.

Yes, n8n supports per-item processing with Python by using _input.item to access the current item data, allowing you to perform per-item enrichment safely within Run Once for Each Item mode using standard library functions.

To aggregate values from multiple items in an n8n Python Code node, retrieve all items using _input.all(), iterate through the list to compute totals or counts using standard library logic, and return the aggregated result inside a json dictionary.