Build an Amazon Review Dataset to Feed an LLM
Fredrik Hansson
Collect a sizeable, structured review dataset from a product to ground an LLM summary or Q&A. Raise the per-URL cap and concurrency; add retries so CAPTCHAs rotate the proxy automatically.
Input
Output fields
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The Amazon Reviews Scraper Actor is ready to run with the inputs already set for "Build an Amazon Review Dataset to Feed an LLM". Sign up or log in and you'll land in Apify Console with a copy of this exact task.
Start the "Build an Amazon Review Dataset to Feed an LLM" task
The Amazon Reviews Scraper Actor will start running based on the input automatically. You can also change all the input fields, like amazon urls, to match your specific use case.
Receive the "Build an Amazon Review Dataset to Feed an LLM" output
Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as product, stars, title, and more.
Integrate into your workflow
The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Build an Amazon Review Dataset to Feed an LLM" task via API.
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