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AI-powered fake review detector. 1) Go to any Amazon product 2) Click extension icon 3) Extract reviews 4) Get authenticity analysis How to Use Null Fake - Amazon Review Analyzer Step 1: Install the extension from the Chrome Web Store. After installation, click the extension icon in your browser toolbar and go to Settings. Enter your API key from nullfake.com and save it. Step 2: Go to Amazon.com (or any Amazon website) and find a product you want to check. You'll see a small button appear in the bottom-right corner of your screen that says "Extract Reviews". Step 3: Click the "Extract Reviews" button. Amazon will take you to the reviews page and the extension will automatically collect the first 10 reviews. You'll see the number on the button update to show how many reviews have been collected. Step 4: Scroll down to the bottom of the page and click Amazon's "Next Page" button to see more reviews. The extension automatically collects these new reviews. Keep clicking "Next Page" and letting it collect reviews until you have enough (we recommend at least 30-50 reviews for best results). Step 5: When you're done collecting reviews, click the "Analyze Reviews" button on the floating button in the bottom-right corner. Wait about 30-60 seconds while our AI analyzes the reviews. When it's finished, click "View Analysis Results" and you'll be taken to nullfake.com where you can see the full report showing which reviews are fake and which are real. We welcome feedback! New features, additions and improvements are planned such as browser notification. The extension will submit all the reviews that Amazon allows for analysis. Note that Amazon has made stringent efforts recently to hinder and deter automated review analysis, which makes a chrome extension the perfect way to extract and analyze product reviews.
Jan 28, 2026
rating_count is the Chrome Web Store ratings count, not a written-review count.
Media assets
Screenshots and videos on the listing.
Has promo video
Whether the listing includes at least one video.
Languages
Declared language locales.
Developer website
Listing exposes a developer website URL.
Contact email
Listing exposes a contact email.
Keyword in name
Case-insensitive substring match in the name.
Keyword in description
Case-insensitive substring match in the description.
Keyword occurrences in description
Count of case-insensitive occurrences in the description.
Category user-count percentile
Share of same-category extensions with fewer users (null if unknown).
These are transparent listing completeness / keyword signals, not a prediction of Chrome Web Store search ranking.