How to Fix "Module Returned Invalid Data" in Make (Integromat)

• Examine Module Configuration: Open the module that failed and carefully review its settings. Ensure that every field is mapped correctly to the expected values and data types. For instance, if a module expects a number and you provided a string, the module will result in invalid data.
• Validate Input Data Format: Use Make’s built-in data viewers and output logs to inspect the data coming into and out of your modules. Compare the actual received data with what the module expects. If a module expects a JSON object with specific keys, confirm that all keys are present and correctly named.
• Use the Data Transformation or Tools Modules: Sometimes, you need a little bit of data formatting to convert the output of one module into the valid data expected by another.
  • Example: If you have JSON data that needs to be parsed, you can use a Code module to handle that. Ensure you use the correct functions to parse and validate your data.
• Apply Error Handling Techniques: It can help to wrap transformation logic in a try-catch block so any unexpected data types or syntax errors are caught. This gives you a cleaner error message that reveals what went wrong.
  • Example Code:
• Test with Simple Output: Replace complex outputs with a known, simple hard-coded value to see whether the module works properly. If it works with the simple value, then the issue lies in your dynamic data or its formatting.
• Use JSON Parsing If Needed: If the module returns JSON, ensure the JSON string is valid and all keys match the expected schema. You can test the JSON format using online validators or by using a Code module to parse it.
  • Example Code:

// Example: Validate JSON and ensure proper data format in a Code module in Make
try {
  // 'inputData' is the JSON string coming from a previous module
  var parsedData = JSON.parse(inputData);
  
  // Check if a required key exists (e.g., 'result')
  if (!parsedData.result) {
    throw new Error("Missing 'result' key in JSON output");
  }
  
  // Return the validated data to be used by subsequent modules
  return parsedData;
} catch(e) {
  // Log the error message to help in debugging and fix the source of invalid data
  throw new Error("Data validation error: " + e.message);
}

• Review Module Documentation and Schemas: Consult the Make module documentation to confirm you are following the exact data structure requirements. The documentation will outline mandatory fields, expected data types, and any optional parameters you might need to set.
• Re-run and Monitor: After making changes, execute a test run of your scenario. Use Make's logging and debugging features to monitor that each step now returns valid data. If an error persists, use the logs to pinpoint which module is the problematic one and adjust accordingly.

• Implement Filters to Catch Unexpected Data: Set up filter modules between steps so that if any module returns data that does not match the expected structure, you can branch the flow to handle errors separately. This method avoids cascading errors in subsequent modules.