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Extract user reviews data from AliExpress. Save as CSV/JSON/Excel.get AI-driven summaries powered by ChatGPT without coding. AliExpress Reviews Extractor is a browser extension designed to provide comprehensive data extraction, allowing you to gather user names, ratings, comments, additional comments, comment images, comment times, order info, and scrape times. The data can be saved in CSV, JSON, or XLSX (Excel) formats, making it easy to organize and analyze. With no need for programming knowledge, you can easily organize and analyze this data for market research, trend analysis, or customer feedback insights. Using the extension is incredibly simple. Step-by-Step Process: 1. Open any product page on AliExpress.com or AliExpress.us. 2. Click the “Download Reviews” button next to the “CUSTOMER REVIEWS” number to start scraping. 3. Wait for the process to complete and then download the data in your preferred format. 4. (Optional) Click the “AI Review Summary” button for an in-depth analysis of the reviews. AI Review Summary Enhance your data analysis with our ChatGPT-Powered review summary feature, which provides: - Advantages: Key positive aspects of the product. - Disadvantages: Noteworthy negative aspects. - Improvement Suggestions: Areas where the product could be improved. - To Buy or Not to Buy: A concise recommendation on whether to purchase the product. The extraction process starts immediately after you make a request, with the duration varying based on the volume of data. Data Privacy The data you work with remains confined to your local machine and does not traverse our servers at any point. Disclaimer This extension is an independently developed product by ExtensionsBox and has no association with AliExpress.
Jul 24, 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.