Amazon Reviews Scraper — Ratings, Text & Verified Purchases

Scrape Amazon product reviews by ASIN or product URL and export ratings, review text, authors, dates, verified-purchase status, helpful votes, images, and Vine labels.

What you get from the Amazon Reviews Scraper

Turn written Amazon customer reviews into analysis-ready rows without copying pages by hand or connecting an Amazon account. Add one or many Amazon product URLs or ASINs, choose the review order and result limit, and download the dataset as JSON, CSV, Excel, XML, RSS, or HTML.

Amazon US is the recommended market and can return hundreds of written reviews for products with enough review volume. The Actor deduplicates reviews automatically when multiple review feeds overlap.

Quick start

1. Add Amazon product URLs or 10-character ASINs.
2. Keep United States selected for the broadest reliable coverage.
3. Choose Most Recent or Most Helpful.
4. Set the maximum reviews per product and click Start.
5. Open the dataset to filter, export, schedule, or connect the results to another workflow.

Amazon review output fields

Field	Description
review_id	Stable review identifier when the source provides one
asin	Amazon Standard Identification Number for the product
country	Selected Amazon market code
rating	Review rating from 1 to 5
title	Review headline
text	Full written review text
author	Public reviewer display name
date	Public review date or date label
verified_purchase	Whether Amazon marks the review as a verified purchase
vine_review	Whether the review is marked as an Amazon Vine review, when available
helpful_votes	Numeric helpful-vote count, when available
helpful_votes_text	Original helpful-vote label, when available
image_urls	Images attached to the review, when available
media_urls	Other media attached to the review, when available
url	Amazon product or review URL
source	Public source label for the review record, when available

Fields can be empty when a reviewer did not provide that information or the selected Amazon market does not expose it publicly.

Example Amazon review output

{
  "review_id": "R2X9P4M7K3L8Q1",
  "asin": "B0D1XD1ZV3",
  "country": "us",
  "rating": 5,
  "title": "Comfortable and easy to use",
  "text": "Setup took only a few minutes and the product has worked reliably every day.",
  "author": "Morgan",
  "date": "Reviewed in the United States on June 18, 2026",
  "verified_purchase": true,
  "vine_review": false,
  "helpful_votes": 7,
  "image_urls": [],
  "media_urls": [],
  "url": "https://www.amazon.com/dp/B0D1XD1ZV3",
  "source": "woot-amazon-reviews"
}

Amazon Reviews Scraper input parameters

Parameter	Required	Default	Description
productUrlsOrAsins	Yes	Example ASIN	Amazon product URLs or 10-character ASINs. Multiple products can be processed in one run.
country	No	us	Amazon market: us, uk, in, de, fr, es, it, ca, jp, au, ae, or sa. US provides the strongest coverage.
maxReviewsPerProduct	No	25	Maximum written review rows per product. Accepts 1–700.
sortBy	No	recent	Review order: recent or helpful.
proxyConfiguration	No	Preconfigured	Connection settings used for non-US Amazon markets. Most users should keep the default.

Example input

{
  "productUrlsOrAsins": [
    "B0D1XD1ZV3",
    "https://www.amazon.com/dp/B09V3KXJPB"
  ],
  "country": "us",
  "maxReviewsPerProduct": 100,
  "sortBy": "recent"
}

Amazon review data use cases

• Brand and product teams: Find recurring complaints, feature requests, and product strengths.
• Marketplace sellers: Compare customer experience across your catalog and competing ASINs.
• Market researchers: Build review corpora for category, positioning, and trend analysis.
• Data and AI teams: Feed written feedback into sentiment analysis, topic modeling, or classification pipelines.
• Customer-experience teams: Schedule recurring runs to monitor newly posted reviews.

Amazon Reviews Scraper limitations

• Amazon US provides the recommended and most complete no-login path. Other storefronts are best effort because anonymous review availability varies by market.
• The Actor returns written reviews, not star-only ratings. Amazon's displayed rating count can therefore be higher than the number of available review records.
• A product may return fewer rows than requested when fewer written reviews are publicly available.
• Review author names are public display names. Handle personal data lawfully and only for a legitimate purpose.
• Amazon can change public availability without notice; retry later if a normally accessible product temporarily returns no reviews.

Compared to other Amazon review scrapers

• Compared with crawlerbros/amazon-reviews-scraper, this Actor can retrieve substantially more than the small inline-review sample for supported Amazon US products and does not require users to configure residential access for the recommended US mode.
• Compared with broader Amazon product crawlers, this Actor is focused on written review analysis, including verified-purchase, Vine, helpful-vote, and attached-media fields where available.
• If you need prices, offers, availability, and product specifications rather than review text, use Amazon Product Scraper.

Amazon Reviews Scraper FAQ

Can I scrape Amazon reviews using only an ASIN?

Yes. Add a 10-character ASIN to productUrlsOrAsins; a full product URL is not required.

Does it scrape verified-purchase reviews?

Yes. Each result includes verified_purchase when that label is publicly available. The Actor does not filter exclusively to verified purchases.

Can it scrape reviews from multiple Amazon products?

Yes. Add multiple URLs or ASINs to the same run. maxReviewsPerProduct is applied separately to every product.

Why are there fewer reviews than Amazon's rating count?

Amazon combines written reviews and star-only ratings in its headline count. This Actor returns written review records, so the totals are not expected to match.

Can I schedule Amazon review monitoring?

Yes. Use an Apify schedule to run the Actor daily, weekly, or monthly, then send new datasets through webhooks or integrations.

Can I use the results through an API?

Yes. Every run produces a default dataset accessible through the Apify API, JavaScript and Python clients, webhooks, Make, Zapier, and other Apify integrations.

Related Thirdwatch Actors

• Amazon Product Scraper — prices, ratings, availability, and product details
• Shopify Reviews Scraper — product reviews from Shopify stores
• Google Maps Reviews Scraper — local business review data

Explore more data tools from Thirdwatch.

Last verified: 2026-07