Amazon Review Scraper — Deep Extract

Scrape Amazon product reviews at scale using a real Playwright browser session. No review cap. Bypasses the anti-bot detection that blocks every proxy-based scraper on the market.

Why this scraper works when others don't

Amazon aggressively blocks proxy-based scrapers in 2025-2026. Most review scrapers on Apify return 0-10 reviews or fail outright. This one uses a real Playwright browser with authenticated sessions on residential IPs — indistinguishable from a normal user browsing Amazon.

Result: reliable extraction of hundreds or thousands of reviews per product, even on heavily protected listings.

Features

• No review limit — scrape 10, 500, or 5,000+ reviews per product
• Multiple products per run — pass a list of URLs, scrape them all
• Sort by recent or helpful — choose your sort order
• Filter by star rating — scrape only 1-star, 5-star, positive, critical, or all
• Rich data extraction — rating, title, full text, date, verified purchase, Vine reviewer, variant, images, helpful count, reviewer profile, review URL
• Deduplication — no duplicate reviews in output
• Real browser — Playwright on residential IP, not HTTP requests through datacenter proxies

Input

Field	Type	Required	Default	Description
productUrls	array	Yes	—	List of Amazon product URLs or ASINs. Accepts full URLs or plain 10-character ASINs.
maxReviews	integer	No	200	Max reviews to scrape per product. No cap.
sort	string	No	recent	Sort order: recent or helpful.
filterByRating	string	No	all_stars	Filter: all_stars, five_star, four_star, three_star, two_star, one_star, positive, critical.

Example input

{
  "productUrls": [
    { "url": "https://www.amazon.com/dp/B0D1XD1ZV3" },
    { "url": "https://www.amazon.com/dp/B09V3KXJPB" }
  ],
  "maxReviews": 500,
  "sort": "recent",
  "filterByRating": "all_stars"
}

Output

Each review in the dataset contains:

Field	Type	Description
reviewId	string	Unique Amazon review ID
reviewTitle	string	Review headline
reviewDescription	string	Full review text
ratingScore	number	Numeric rating (1-5)
reviewedIn	string	Full date string with location (e.g., "Reviewed in the United States on February 10, 2026")
date	string	Parsed date portion
isVerified	boolean	Verified purchase
isAmazonVine	boolean	Amazon Vine reviewer
variant	string	Product variant (color, size, etc.)
reviewImages	array	URLs of images attached to the review
reviewReaction	string	Helpful vote count
reviewUrl	string	Direct link to the review
userProfileLink	string	Link to reviewer's Amazon profile
userId	string	Amazon user ID
position	number	Position in scrape results
productAsin	string	Product ASIN
totalCategoryRatings	number	Total ratings for the product
totalCategoryReviews	number	Total reviews for the product
filterByRating	string	Rating filter used
input	string	Original product URL
country	string	Country (currently US)

Example output

{
  "reviewId": "R2YPIEJ3LA31PS",
  "reviewTitle": "This thing is incredible",
  "reviewDescription": "I've tried three other brands and they all broke within a month. This one has lasted 6 months and counting. The pressure is perfect — not too soft, not painful.",
  "ratingScore": 5,
  "reviewedIn": "Reviewed in the United States on February 10, 2026",
  "date": "February 10, 2026",
  "isVerified": true,
  "isAmazonVine": false,
  "variant": "Color: Black",
  "reviewImages": ["https://images-na.ssl-images-amazon.com/images/I/..."],
  "reviewReaction": "42",
  "reviewUrl": "https://www.amazon.com/gp/customer-reviews/R2YPIEJ3LA31PS",
  "userProfileLink": "https://www.amazon.com/gp/profile/amzn1.account.ABC123",
  "userId": "amzn1.account.ABC123",
  "position": 1,
  "productAsin": "B0D1XD1ZV3",
  "totalCategoryRatings": 2490,
  "totalCategoryReviews": 664,
  "filterByRating": "all_stars",
  "input": "https://www.amazon.com/dp/B0D1XD1ZV3",
  "country": "United States"
}

Use cases

• Ad creative research — mine customer language for ad hooks and angles
• Competitor analysis — understand what customers love/hate about competing products
• Product validation — check real customer sentiment before sourcing
• Sentiment analysis — aggregate ratings and review text for ML workflows
• Review monitoring — track sentiment over time
• Market research — identify gaps and opportunities from customer feedback
• UGC content mining — find review images for ad creative inspiration

Supported URL formats

All of these work:

• https://www.amazon.com/dp/B0D1XD1ZV3
• https://www.amazon.com/Some-Product-Name/dp/B0D1XD1ZV3
• https://www.amazon.com/product-reviews/B0D1XD1ZV3
• B0D1XD1ZV3 (plain ASIN)

Limits

• US Amazon (amazon.com) only
• Scrape time scales with review count (~1-2 min for 200 reviews, ~5 min for 1000+)

FAQ

Why not just use the Amazon Product Advertising API? The Amazon PA API doesn't expose review text. This scraper gets the actual review content, images, and metadata.

Why does this work when other scrapers don't? Other scrapers use HTTP requests through datacenter proxies. Amazon fingerprints and blocks these. This scraper uses a full Playwright browser with residential IPs and real authenticated sessions — the same way a human browses Amazon.

Can I scrape multiple products in one run? Yes. Pass multiple URLs in productUrls. Each product is scraped sequentially.

What if a product has fewer reviews than maxReviews? The scraper stops when it runs out of reviews and returns whatever it found.