Amazon Reviews + Stats Scraper

Amazon Reviews Scraper | Product Reviews + Rating Stats by ASIN

Related: Amazon Link Collection Scraper

Amazon reviews scraper for structured customer reviews, star ratings, and review statistics by product ASIN across major Amazon marketplaces. Export clean JSON/CSV for sentiment analysis, reputation monitoring, competitor research, and BI dashboards.

Supported Amazon domains:

• amazon.com
• amazon.ca
• amazon.co.jp
• amazon.co.uk
• amazon.in
• amazon.de
• amazon.ae
• amazon.nl
• amazon.fr
• amazon.it
• amazon.es
• amazon.com.mx

Collect reviews with filters for star rating, verified purchase, sort order, product format, and media (text / image / video reviews). Page limits follow Amazon’s available review pages for the selected filters.

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Why use this Amazon review scraper?

• Multi-marketplace — scrape Amazon reviews from US, UK, Canada, EU, India, Japan, UAE, Mexico, and more from one actor.
• Reviews + stats in one run — get individual review text and aggregate rating distribution (5★–1★), average rating, and rating counts.
• Filterable — verified purchases only, star filters, recent vs helpful sort, current format vs all formats, image/video-only reviews.
• Analysis-ready output — consistent field names for CSV, Excel, Google Sheets, Power BI, Looker, and custom pipelines.
• ASIN-based — point at any product ASIN; no manual copy-paste from Amazon review pages.

Ideal keywords this actor covers: Amazon product reviews scraper, Amazon ASIN reviews export, Amazon rating histogram, verified purchase reviews, marketplace review monitoring, e-commerce sentiment data.

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What this actor does

Given a product ASIN and an Amazon domain, the actor:

1. Opens the product’s customer reviews for that marketplace.
2. Applies your filters (stars, verified purchase, sort, format, media).
3. Collects matching reviews up to your maxPages setting (or until no more reviews are available).
4. Returns:
   • A list of reviews with title, body, rating, date, reviewer, badges, and more.
   • Aggregate stats (average rating, global/total rating counts, 5-star–1-star percentages).

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Typical use cases

• Monitor product reputation and rating trends over time.
• Analyze customer sentiment, complaints, and feature requests.
• Compare review patterns across regions (e.g. .com vs .co.uk vs .de).
• Track competitors’ ASINs and star-distribution shifts.
• Export Amazon reviews to CSV/JSON for BI tools, NLP, and data science.
• Build dashboards for rating distribution, Vine reviews, and verified-purchase mix.
• Research marketplace localization (language, country labels, variant feedback).

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Input

The actor accepts a JSON object with the following fields:

Field	Type	Required	Default	Description
asin	string	Yes	–	Amazon Standard Identification Number, e.g. "B08N5WRWNW".
domain	string	Yes	"ca"	Marketplace without the amazon. prefix. One of: com, ca, co.jp, co.uk, in, de, ae, nl, fr, it, es, com.mx.
maxPages	integer	No	10	Maximum number of review pages to collect. Stops earlier if fewer pages exist for the filter.
sortBy	string	No	"recent"	"recent" or "helpful" (Top Rated).
filterByStar	string	No	"all_stars"	"all_stars", "five_star", "four_star", "three_star", "two_star", "one_star".
reviewerType	string	No	"all_reviews"	"all_reviews" or "avp_only_reviews" (Verified Purchase only).
formatType	string	No	"all_formats"	"all_formats" or "current_format".
mediaType	string	No	"all_contents"	"all_contents" (text, images, videos) or "media_reviews_only" (image/video reviews only).

Filter availability can vary slightly by marketplace. Unsupported combinations simply return fewer or no matching reviews.

Example input

{
  "asin": "B08N5WRWNW",
  "domain": "com",
  "maxPages": 10,
  "sortBy": "recent",
  "filterByStar": "all_stars",
  "reviewerType": "avp_only_reviews",
  "formatType": "all_formats",
  "mediaType": "all_contents"
}

Example: five-star reviews with media only

{
  "asin": "B08N5WRWNW",
  "domain": "de",
  "maxPages": 5,
  "filterByStar": "five_star",
  "mediaType": "media_reviews_only",
  "sortBy": "helpful"
}

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Output

Results are written to the default Apify dataset (download as JSON, CSV, Excel, or via API).

Each review item includes fields such as:

{
  "Domain": "com",
  "Asin": "B0DF74L6N2",
  "Product Name": "Cordless Vacuum Cleaner, 600W 50KPA 70Mins Vacuum Cleaners for Home, Stick Vacuum with Charging Dock Station, Anti-tangle Wireless Vacumm, Rechargeable Cordless Vacuum for Pet Hair/Carpet/Hard Floor",
  "Review ID": "R123EXAMPLE",
  "Total Rating Count": "1,965",
  "Rating": 5,
  "Title": "Solid Vacuum!",
  "Review": "This vacuum works very well. The suction is good, the brush motor is strong enough to still spin even if pressure is applied to it, the battery is removable, and it’s lightweight. Even our 5 year old can maneuver it with ease.",
  "Badge": "Verified Purchase",
  "Helpful": "",
  "Username": "Amazon Customer",
  "Review Date": "2025-11-13",
  "Country Name": "United States",
  "Variants": "",
  "Vine Customer": "",
  "Global Rating Count": "2,629",
  "Average Rating": "4.6",
  "5 Star %": 81,
  "4 Star %": 10,
  "3 Star %": 3,
  "2 Star %": 2,
  "1 Star %": 4,
  "Date of Crawling": "2025-11-15"
}

Some fields may be empty or missing depending on the marketplace and the review (for example, not every review has a variant or helpful vote count).

When a product has no matching reviews for your filters, the dataset may contain a short status message instead of review rows.

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How limits work

• The actor paginates review results up to maxPages.
• If Amazon has fewer pages for your filters, it stops when results end.
• Star, verified-purchase, format, and media filters reduce the set before pagination.
• Global rating counts and star percentages reflect Amazon’s product-level stats where available; they may differ from the number of individual review rows returned under a tight filter.

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Tips for better results

• Use the correct marketplace domain for the ASIN’s listing country.
• Start with maxPages: 1 to validate filters, then raise the page count.
• Prefer avp_only_reviews when you need higher-signal purchase feedback.
• Use media_reviews_only when you care about photo/video social proof.
• Schedule recurring runs on Apify to track rating and review changes over time.

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Notes & disclaimer

• This actor is not affiliated with or endorsed by Amazon.
• Use it responsibly and in accordance with Amazon’s Terms of Service and your local laws.
• Avoid excessive request volume; schedule runs thoughtfully for production monitoring.

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