For the complete documentation index, see llms.txt. This page is also available as Markdown.

Common Issues

Connection issues

Authentication failed or API token not accepted

Double-check that you copied the full API token from Apify Console under Settings > Integrations. Tokens are long strings — make sure there are no trailing spaces or missing characters. If you recently regenerated your token, update it in the Coupler.io source settings.

Data flow connects but returns no data

Confirm that the Dataset ID you entered matches an existing dataset in Storage > Datasets in Apify Console. If the actor run failed or produced zero output, the dataset will exist but be empty. Run the actor again in Apify and verify it has items before re-running the data flow.

Missing data

Only some items are returned, not all

Apify datasets can be very large. Coupler.io paginates through all items automatically, but if you interrupted a run or the actor run itself was incomplete, the dataset may not contain all expected records. Check the itemCount field on the Datasets entity to confirm the expected number of items.

Expected fields are missing from item collection output

Item fields are defined by the actor, not by Apify or Coupler.io. If a field you expect isn't showing up, the actor may not have produced it in that run (e.g., a page returned no price data). Check the raw dataset in Apify Console to confirm whether the field exists in the source data.

Website content crawler entity returns fewer fields than expected

The Item collection website content crawlers entity uses a fixed set of fields designed for Apify's official website content crawler actors. If you're using a custom or third-party actor that produces different output, use the Item collections entity instead to get all raw fields.

Permission errors

403 Forbidden or "Dataset not found" error

The dataset you're trying to access may belong to a different Apify user or organization. Your API token only grants access to datasets owned by your account. If you're working in a shared Apify organization, make sure you're using a token with the correct organization scope.

Data discrepancies

Item count in Coupler.io doesn't match Apify Console

Apify reports both itemCount (all items) and cleanItemCount (deduplicated, non-empty items). Coupler.io exports all items by default. If your destination shows fewer rows than itemCount, check whether any items were empty objects — these may be filtered depending on your destination settings.

Data from a previous actor run is still showing up

Each actor run creates a new dataset with a new ID. If your data flow is pointing to the old Dataset ID, it will keep returning data from the old run. After each actor run, update the Dataset ID in your Coupler.io source settings to point to the new dataset.

Rate limits

Requests are being throttled or failing intermittently

Apify's API enforces rate limits that vary by plan. If you're running multiple data flows pointing to different datasets simultaneously, you may hit these limits. Stagger your data flow schedules or consolidate related datasets using the Append transformation to reduce the number of API calls.

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