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Amazon Reviews Scraper

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No Code Web Scraper
4.2(28 ratings)·1,000+ users·Productivity
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What is the Amazon Reviews Scraper?

The Amazon Reviews Scraper by No Code Web Scraper turns any product’s reviews into a clean spreadsheet. Click a review once and every one — with reviewer, rating, title, text, date and verified badge — exports to Excel or CSV. No code, no API keys, and everything runs in your browser.

Capture the full review from any Amazon product page

Reviewer NamePublic name of the reviewer
Star RatingRating from 1 to 5 stars
Review TitleThe headline of the review
Review TextThe full written review
Review DateWhen the review was posted
Verified PurchaseWhether the buyer is verified
Helpful VotesHow many found it helpful
VariantSize, color or style reviewed

How to Scrape Amazon Reviews Data in 3 Steps

1

Open an Amazon Product

Go to any Amazon product page and open its reviews section.

2

Select the Review Fields

Launch No Code Web Scraper and click the reviewer, rating, title and text — every review on the list is detected automatically.

3

Export All Reviews

Follow pagination through the reviews and download them all as Excel or CSV.

Who Uses Amazon Reviews Scraper?

Product Research

Read hundreds of reviews at once to find what customers love and hate.

Competitor Analysis

Study reviews of competing products to spot gaps you can win on.

Sentiment Analysis

Export reviews into a spreadsheet to score sentiment and themes.

Product Development

Turn recurring complaints into a roadmap for a better product.

Frequently Asked Questions

Yes. No Code Web Scraper is free to install and use for exporting Amazon reviews to Excel or CSV.

Reviewer name, star rating, review title, review text, date, verified purchase status, helpful votes and variant.

Yes. Follow the review pagination and every page stacks into one export.

No. You click the review fields you want and export — no scripts or API keys.

Download your selected reviews as an Excel or CSV file with one click.

Collecting publicly visible reviews is generally acceptable for research. Respect Amazon’s terms and avoid misusing personal data.