The Resume Error Handler in Make.com provides a powerful solution for handling automation failures due to missing or invalid data from third-party modules. By implementing this error handling approach, you can ensure your automations continue running smoothly even when encountering common issues like missing audio in Instagram reels.
This error handling technique is particularly valuable for complex automations that rely on external data sources and need to maintain operational continuity despite potential failures.
In my video, I demonstrate how to implement the Resume Error Handler using a practical example involving Instagram viral reel processing:
Understanding the Automation Context
The example scenario involves an automation that processes viral Instagram reels, where it first scrapes competitor content through Apify, imports the data into Google Sheets, and then processes the reels for content creation. The automation extracts audio, transcribes it, analyzes images, and uses GPT-4 to create variations of viral content.
The Error Handling Challenge
A common issue arose when the automation encountered reels without audio content. This would cause the Cloud Convert service to fail during audio extraction, resulting in the entire scenario stopping and becoming disabled.
Implementing the Resume Error Handler
To solve this issue, I implemented these steps:
- Added a Resume Error Handler to the problematic module
- Created a specific error filter for “no audio in reel” errors
- Uploaded a substitute audio file containing the message “no audio”
- Configured the handler to substitute the missing audio with the prepared file
How the Resume Error Handler Works
The Resume Error Handler’s primary function is to replace module output with substitute data when an error occurs. In this case, when a reel without audio is detected, the handler provides alternative audio file data, allowing the automation to continue processing rather than failing completely.
