Amazon Reviews Scraper

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Pull hundreds of real Amazon customer reviews per product as clean structured rows - across all five star ratings, deduped and newest-first. Drop in product IDs or paste product URLs, pick a marketplace, star filter and sort order, and export sortable, filterable rows ready for CSV, Excel or JSON. No HTML parsing, no anti-bot headaches. No subscription, pay only per review.

What it does

Give it any mix of ASINs and/or Amazon product URLs and it pulls the customer reviews for each product (up to 800 each), with every field structured:

• ⭐ Star rating the reviewer gave (1-5)
• 📝 Title and 💬 full review text
• 👤 Reviewer name and 📅 date
• ✅ Verified Purchase flag and 🍃 Amazon Vine flag
• 👍 Helpful votes
• 🖼 Review photos (all attached images)
• 🌍 Country the review was written in

Narrow the result with the star filter (all stars, a single rating, or positive / critical sentiment) and choose most recent or most helpful ordering. Set a soft cap per product to keep runs quick and cheap, or pull up to 800 per product for a deep dataset. Flip on featured reviews to also grab the highlighted reviews shown on the product page.

Reviews are deduped across all five star ratings and both sort orders. Smaller products come back in full; very large products return the most-recent and most-helpful slice.

Input

{
"products":["B0FQFB8FMG","https://www.amazon.com/dp/B09B8V1LZ3"],
"country":"us",
"starFilter":"all_stars",
"sort":"recent",
"maxReviewsPerAsin":300,
"includeTopReviewsFallback":false,
"stopOnError":false
}

Provide at least one product - an ASIN or a product URL - or the run fails fast with a clear message.

Output

One flat row per review, with the full raw review object under data. The dataset ships with a ready-made Reviews table tab, so the results read as a clean spreadsheet you can sort, filter and export to CSV / Excel / JSON in one click.

A real review row:

{
"asin":"B0FQFB8FMG",
"author":"Jordan M.",
"rating":5,
"title":"Best earbuds I've owned",
"text":"Battery life is excellent and the noise cancelling is...",
"date":"Reviewed in the United States on March 14, 2026",
"country":"us",
"verified_purchase":true,
"vine":false,
"helpful_count":12,
"images":["https://m.media-amazon.com/images/I/..."],
"image_url":"https://m.media-amazon.com/images/I/...",
"data":{"...":"full review object"}
}

Console columns on the Reviews tab include asin, rating, title, text, author, date, verified_purchase, vine, helpful_count and country. Error rows carry an error_code and are free - you only pay for real reviews.

A run-summary record (OUTPUT key) reports the review count, error count and estimated cost. Live per-event pricing is shown on this actor's Apify Store page.

Why this actor

• Hundreds of reviews per product - across all five star ratings, deduped and newest-first, up to 800 each.
• Every review field structured - rating, title, text, author, date, verified-purchase, Vine, helpful votes, photos, country.
• 8 marketplaces - us, uk, de, fr, it, es, ca, jp.
• Star + sentiment filters - all stars, any single rating, or positive / critical, sorted by recent or helpful.
• ASINs or URLs in one field - feed product IDs or paste product links; the ASIN is extracted for you.
• Fast cached responses - repeat pulls return quickly; competitors scrape live at 3+ seconds.
• You only pay for results - errors and your own misconfigurations are never charged.

Need help? Enterprise plans? Custom scraping?

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