3 items
Export product reviews from Amazon to CSV and Json in 1 click. Fast, Free, clean, and perfect for research, sellers & insights. Table of content: # 🛠️ Amazon Review Extractor - # ✨ Features - # 💡 Use Cases - # 🧠 How to Use - # ⚠️ Note/Disclaimer - # ❤️ Support & Feedback # 🛠️ Amazon Review Extractor – 🔍 Export Amazon Reviews to CSV (Fast & Free) Easily extract Amazon product reviews, Export Amazon reviews to CSV and download them as a clean CSV file in seconds. Perfect for Amazon sellers, researchers, and marketers, or just organize and analyze product feedback from Amazon. # ✨ Features ✅ Extract reviews from any Amazon product page ✅ Download as a structured CSV file and Json file ✅ Download Images as ZIP file ✅ Includes reviewer name, rating, review text, date, and more ✅ Works with most Amazon regional domains (US, UK, DE, etc.) ✅ Lightweight and easy to use – No login required, works instantly # 💡 Use Cases Drop shipping - market analysis Product research & market analysis Competitor review analysis Gathering testimonials Amazon FBA seller insights Sentiment analysis or NLP tasks # 🧠 How to Use Go to any Amazon product page Go to the reviews tab (URL usually looks like this https:/amazon.com/product-reviews/{product ASIN cod} ) Open the extension Click “Extract Reviews” Download your CSV and Json instantly! # ⚠️ Note/Disclaimer This tool is designed for personal or research use. Be mindful of Amazon’s terms of service when using the data. # ❤️ Support & Feedback Have a feature request or bug report? Reach out to: https://forms.gle/mQ2YjbvoSwtHGvjj6 Or leave a review and help others discover it! Want to support my journey and more tools for other? Buy me a Coffee: https://buymeacoffee.com/shahafedri
Jul 31, 2025
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.