Why Does My n8n Workflow Halt Unexpectedly During Hubspot Engagement Migration?

Below are a few troubleshooting tips and considerations to help narrow down the issue with your looping workflow for Hubspot Engagements:

1. Check Loop Termination Conditions

• Verify the “hasMore” Check:
  Make sure that the IF node (e.g., your If2 node) is configured correctly to evaluate the “hasMore” property on the correct portion of the incoming data. You may want to inspect the node’s output to ensure the property exists and has a boolean value.

• Data Passing Between Iterations:
  Confirm that the data from each iteration is being correctly passed along the loop. Sometimes, if the structure changes unexpectedly, the IF node may receive data that doesn’t match the expected shape.

2. Node Configuration Details

• HTTP Request Node:
  Given that you use the HTTP Request node for looping to avoid Hubspot’s rate limits, double-check if you need to include delays between iterations—either by adding a Wait node after each request or by using the built-in batching options (if applicable). This can prevent overwhelming the API and help prevent intermittent failures.

• Code Node Behavior:
  If the Code node stops processing past a certain iteration, examine the code for potential issues such as:

  • Edge cases where the expected property is missing.
  • Memory or performance issues due to accumulating data over many iterations.

• Execute Once Parameter:
  If you have nodes that are meant to run only once (like those fetching mapping data), verify that the “Execute Once” setting (found under the Settings tab) is enabled. This ensures that the node isn’t trying to process multiple items when it only should handle a single, static data set.

3. Debugging and Error Handling

• Inspect Node Execution Details:
  Use n8n’s execution view to inspect the output at each node. This can give you insight into whether the workflow is hanging because the expected data isn’t present or if an error is occurring that isn’t being surfaced.

• Add Debug Nodes:
  Try inserting temporary nodes (such as Set nodes) before and after the problematic nodes (If2 and Code node) to capture the state of your data. These nodes can help you see the exact payload being passed along the workflow.

• Consider Rate Limits & API Delays:
  Since you mentioned that the workflow initially works and then stops after several iterations, it might be worth double-checking if a hidden rate-limit or a transient API issue is causing one of the requests to return unexpected data. Setting up a retry mechanism on the HTTP Request node or adding a Wait node after a failed iteration might be helpful.

4. Testing with Minimal Data

• Reduce the Number of Iterations/Test with a Smaller Batch:
  Temporarily test the workflow with a limited dataset. If the workflow completes successfully with fewer iterations, it might indicate an issue with data volume or memory that comes into play only after several loop cycles.

Summary

Your workflow seems conceptually correct—with one loop that continues until “hasMore” is false and separate one-time flows fetching the mapping data. The stopping at different nodes (either the IF node or the Code node) suggests either a mismatch in data structure or a node configuration issue (such as missing parameters, inadequate error handling, or a timing issue due to rate limits). By examining the execution details and confirming that each node is receiving the data format it expects, you should be able to pinpoint the problem.

If you continue to face issues, consider isolating the problematic part of the loop in a smaller test workflow to troubleshoot it further.