A powerful browser userscript designed for Amazon sellers and power users. This tool reveals third-party seller identities, origin countries, and hybrid ratings directly on Amazon search results and bestseller pages.
- Hybrid Ratings: Displays both Product Ratings and Seller Feedback percentages (e.g.,
4.1 / 87%) at a glance. - Auto-CSV Collection: Automatically gathers data for every product you scroll past. No manual entry required.
- Bestseller Support: Optimized to work seamlessly on Amazon Bestseller grid layouts.
- Instant Navigation: Clickable ratings that scroll you directly to the product's customer reviews section.
- Smart Caching: Local storage integration to speed up load times and reduce network requests.
- Multi-Domain Support: Works across global Amazon domains (.com, .in, .uk, .de, .jp, etc.).
- Multilingual Metadata: Fully localized names and descriptions for major Amazon regions.
- Install a Userscript Manager:
- Tampermonkey (Recommended)
- Violentmonkey
- Install the Script:
- Click on the
reveal-seller.user.jsfile in this repository. - Click the Raw button.
- Your userscript manager will prompt you to install it. Click Install.
- Click on the
- Browse Amazon: Search for products or visit any Bestseller category.
- View Insights: Look for the small information box under product titles/prices showing the seller name and ratings.
- Manage Data:
- Scroll down to the footer of the page to find the ⚙️ SoldBy (Settings), 📥 CSV (Download), and 🔄 Reset buttons.
- CSV (Count): Click to download all collected product data in a
.csvformat for Excel or Google Sheets. - Reset CSV: Clears the current list of collected items without refreshing the page.
- Settings: Customize country highlighting, hide specific products, or manage the data cache via the settings menu.
- License: MIT
- Grant:
GM.getValue,GM.setValue(Used for persistent configuration) - Require:
GM_config(For the settings interface)
Have a question or a sourcing tip to share? Join our GitHub Discussions!
Feel free to fork this project, open issues, or submit pull requests to improve the extraction logic or add support for new Amazon layouts.
Author: Smartrwl
Disclaimer: This tool is for educational and data research purposes. Please adhere to Amazon's Terms of Service while using automation tools.