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docs(apify): note the 10MB task output limit for large datasets
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‎docs/guides/examples/apify-actor-run.mdx‎

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@@ -213,6 +213,10 @@ Trigger the task from the Trigger.dev dashboard with the same payload as Example
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These examples aren't retry-safe: retries always start a new Actor run. In production, store the Actor run ID and resume that run on retry rather than starting over.
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</Note>
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<Note>
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[Task outputs](/limits#task-payloads-and-outputs) are limited to 10MB. Both examples return every dataset item, so a large crawl can fail the task even when the Actor succeeds. For big datasets, return only `datasetId` and read the items with `apify.dataset(datasetId).listItems({ offset, limit })` in the next step.
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</Note>
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## Learn more
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- [Wait for token](/wait-for-token)

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