Amazon Review Scraper
Collect the review behind the rating
Follow review fields when Amazon moves them, open the accessible review views, and combine feedback from multiple products.
Find review fields when Amazon moves them
Review text, ratings, dates, badges, and helpful votes do not always stay in the same position. Thunderbit identifies those fields by meaning instead of relying only on one fixed selector layout.
Open the review views that hold the details
Thunderbit can work through accessible Amazon review views and linked pages to collect the visible text, rating, date, reviewer, variation, helpful votes, and product context needed for the export.
Build one review table from many products
Supply the Amazon product or review URLs you want to study. Thunderbit can process the accessible pages and combine the requested visible review fields into one structured table.
Review collection should not stop at the first visible page
Traditional review scrapers depend on selectors. Thunderbit follows visible feedback across accessible pages.
A scraper tied to one review layout
More pages mean more maintenanceReview rows collected by Thunderbit
Visible feedback stays organizedWhat data can you extract with an Amazon review scraper?
Choose from 30 fields covering review text, ratings, dates, reviewers, variations, helpful votes, media, and product details.
- Product title
- ASIN
- Product URL
- Brand or store name
- Primary product image URL
- Current product price
- Overall star rating
- Global rating count
- Five-star share
- Four-star share
- Three-star share
- Two-star share
- One-star share
- Customer-say summary
- Review topic or aspect
- Aspect mention count
- Positive aspect count
- Negative aspect count
- Reviewer display name
- Review star rating
- Review title
- Full review text
- Review date
- Review country or marketplace
- Verified Purchase label
- Vine review label
- Variation name
- Variation value
- Helpful vote count
- Review source URL
What people say after trying Thunderbit
Hear directly from users about the browser work they simplified and the data workflows they were able to move forward.
Questions that come up when collecting Amazon reviews
Review visibility, pagination, variations, marketplace settings, and Amazon's own summaries can all affect the resulting table.
Connect customer feedback with the product behind it
Pair review collection with Amazon product or ASIN data when the analysis needs specifications, offers, or identifiers too.
No-Code Amazon Scraper for Products, Prices, and Reviews
Collect visible Amazon product names, ASINs, prices, sellers, availability, ratings, reviews, images, and more with One Click Extract. Thunderbit recommends the fields, follows linked pages when needed, and exports the results without code.
Learn more ->Amazon Product Scraper for Prices, Specs, and Variants
Build a useful Amazon product table from details scattered across the page: identifiers, specifications, images, sellers, variants, ratings, and availability. There is no need to map each layout first.
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Amazon Price Scraper
Track the Amazon prices a shopper can actually act on: the current offer, discount, seller, availability, and variation. Extract the page now, or schedule another check for later.
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Amazon ASIN Scraper
Create an Amazon identifier list from the products you are researching. Capture ASINs, parent ASINs, titles, product URLs, brands, and visible variant relationships without opening each listing by hand.
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HKTVmall Scraper
Extract product names, prices, ratings, and more from HKTVmall listings in 2 clicks — no coding required. Export directly to Excel, Google Sheets, or Notion and turn HKTVmall data into actionable insights.
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BestPrice GR Scraper
Thunderbit's AI-powered BestPrice GR Scraper enables you to extract product listings, prices, and detailed information from BestPrice.gr in just a few clicks. Perfect for sales, marketing, and e-commerce teams looking to gather structured data quickly and efficiently.
Learn more ->Ready to supercharge your data extraction?
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