n8n-code-python

Writing Python in n8n Code nodes requires using only the standard library, leveraging built-ins like json, datetime, and re for data transformations. You must avoid external packages and use safe data access patterns to ensure production-ready workflows.

The required return format for n8n Code nodes is an array of objects, each containing a json key: [{"json": {...}}]. Enforcing this exact structure ensures your Python transformations output data correctly to downstream workflow nodes.

Safely accessing webhook data in n8n Python nodes involves retrieving payloads through the body field and using safe dictionary access with .get(). This prevents KeyError exceptions when handling missing or nested data in webhook payloads.

You cannot use external Python packages like pandas in n8n Code nodes. The environment enforces standard library only usage, meaning you must rely on built-in modules such as json, math, statistics, and urllib.parse for data processing.

Batch and per-item processing in n8n Python Code nodes is handled using _input.all() for batch transformations and _input.item for per-item processing. Testing across All Items and Each Item modes ensures robust data access.

n8n Python code fails with KeyError when accessing missing dictionary keys directly. Prevent these errors by using .get() for safe dictionary access and guarded list indexing, ensuring robust handling of unpredictable input data structures.