Amazon Reviews Scraper

Scrape Amazon product reviews by product URL or ASIN — fast, clean and cheap. This Amazon review scraper extracts every field you need (star rating, title, full review text, author, date, verified-purchase badge, helpful votes and the purchased variant) and exports to JSON, CSV or Excel. Perfect for product research, review monitoring, sentiment analysis, competitor tracking and AI/LLM training data.

• 🛒 Input Amazon product URLs and/or ASINs (mix both)
• 🌍 Works across marketplaces: amazon.com, amazon.co.uk, amazon.de, amazon.fr, amazon.it, amazon.es, amazon.ca, amazon.co.jp, amazon.in and more
• ⭐ Full review data: rating, title, text, author, date, verified purchase, helpful votes, variant
• 📅 FREE date filter — keep only reviews newer than a date (the popular competitor charges extra for filtering)
• 💸 $0.0019 per review and no per-run minimum (a well-known alternative charges $0.006/review with a $0.50 minimum)
• 🔒 Residential proxy built in for reliable extraction — no cookies or login required

What it returns: the product's publicly listed reviews (Amazon's top most-recent / most-helpful reviews, typically ~8-10 per product shown to anonymous visitors). Amazon sign-in walls the full paginated list, so no scraper can read every review without an account — this Actor grabs the public ones cleanly and cheaply, with every field parsed.

Why this scraper

	This Actor	Typical competitor
Price per review	$0.0019	$0.006
Minimum per run	none	$0.50
Date filtering	free	paid add-on
Output	clean, flat, ready for CSV/Excel	—

Input

Field	Type	Description
startUrls	array	Amazon product URLs (ASIN auto-detected). Use this and/or asins.
asins	array	10-character ASIN strings, e.g. B07PGL2N7J.
country	string	Marketplace: US (default), UK, DE, FR, IT, ES, CA, JP, IN, MX, BR, AU, NL, …
maxReviews	integer	Max reviews per product (default 100).
sortBy	string	recent (default) or helpful.
dateNewerThan	string	Optional ISO date, e.g. 2024-01-01. Keeps only reviews on/after it. Free.

Example input

{
  "startUrls": ["https://www.amazon.com/dp/B07PGL2N7J"],
  "asins": ["B09G9FPHY6"],
  "country": "US",
  "maxReviews": 100,
  "sortBy": "recent",
  "dateNewerThan": "2024-01-01"
}

Output

One dataset item per review:

{
  "productAsin": "B07PGL2N7J",
  "productUrl": "https://www.amazon.com/dp/B07PGL2N7J",
  "reviewId": "R2EXAMPLEID123",
  "title": "Works great, highly recommend",
  "text": "I have used this for three months and it still works perfectly...",
  "rating": 5,
  "author": "Jane D.",
  "date": "2024-05-12",
  "verifiedPurchase": true,
  "helpfulVotes": 14,
  "variant": "Color: Black | Size: Large",
  "country": "United States"
}

Export the dataset as JSON, CSV, Excel, XML or HTML from the run's Storage tab, or via the Apify API.

Tips

• Amazon has strong anti-bot protection, so this Actor uses residential proxy automatically and crawls politely. If a product returns 0 reviews, re-run it — a fresh proxy session usually succeeds.
• You only pay per review actually returned — never for empty results, and there's no minimum per run.
• Pass many startUrls/asins at once to pull the public reviews for a whole catalog in one run.
• Use dateNewerThan to keep only recent reviews for free — great for ongoing review monitoring and sentiment tracking.

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