Common Issues

Connection issues

chevron-rightWhy don't I see any data flows in the dropdown?hashtag

The Coupler.io source dropdown only shows data flows you created personally. If you're on a shared team account, you'll only see your own flows—not flows created by other team members.

If you need access to another user's flow, ask them to create a new data flow or request that they recreate it under your account so you can reference it.

chevron-rightI'm getting an "Invalid API key" error.hashtag

Verify that the API key you copied is correct and hasn't been revoked or rotated. Log into your Coupler.io account settings and copy a fresh API key. Make sure there are no extra spaces or truncated characters when pasting.

chevron-rightThe source data flow I want to use isn't available in the dropdown.hashtag

Your source data flow must have completed at least one successful manual run before it can be selected. Check that the flow has run without errors. If it's never run or failed on its last attempt, complete a manual run first.

Missing data

chevron-rightWhy is my Coupler.io source showing old data?hashtag

Coupler.io pulls from the most recent successful run of your source data flow. If the source flow hasn't been run recently, you're seeing stale data.

Always run your source data flow first, then run the dependent Coupler.io flow. Don't assume running the Coupler.io flow alone will refresh upstream data.

chevron-rightNo data is appearing in my Coupler.io source, even though the source flow has data.hashtag

Check that your source data flow completed successfully on its last run. If it failed or was cancelled, no data will be available to pull. Review the source flow's run history and address any errors.

Also confirm that the source flow's destination contains data. If it was set to Google Sheets, verify the sheet isn't empty and the correct tab was used.

Permission errors

chevron-rightWhy can't I see other team members' data flows?hashtag

Coupler.io sources only reference your own data flows. To use a flow created by a colleague, they must share the data with you through a different method (e.g., by adding it to a shared Google Sheet or exporting it) or recreate the flow under your account.

Data discrepancies

chevron-rightI'm seeing duplicate rows or missing data after appending multiple Coupler.io sources.hashtag

When appending data from multiple data flows, ensure each source ran on the same schedule or on compatible schedules. If one flow updated but another hasn't run yet, you may get incomplete or outdated data in your append.

Consider staggering your schedules so all source flows complete before your combining flow runs.

chevron-rightThe data in my Coupler.io source doesn't match the original source system.hashtag

Coupler.io shows exactly what your source data flow imported—including any filters, transformations, or data type mismatches that exist in the original flow.

If you see unexpected data, trace back to the source flow and verify:

  • Date range filters are correct

  • No transformation errors occurred (check the flow's preview)

  • The destination (Google Sheets, etc.) wasn't edited manually

  • The source flow's last run completed without errors

Rate limits

chevron-rightWill using Coupler.io as a source count against my API limits?hashtag

No. Coupler.io sources don't make new API calls to your original data source. They only read data that was already imported by your source data flow. Your only API usage is from the initial import by the source flow, not from the Coupler.io source itself.

This is one of the key benefits of chaining flows—you reduce redundant API calls.

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