Export eBay product and seller reviews for market research and sentiment analysis.
URLs to start with, accepts: - **Product URLs** (containing product ID) - - **Seller feedback URLs** (containing seller username and product ID) -
Maximum number of reviews to scrape per start URL. If you want to set a limit across all reviews use 'Options' -> 'Maximum charged results'
Results to deliver
400 creditsThis agent actively searches live listings — results may vary. You are only charged for what is delivered, up to this number.
Lagic Proxy
Pricing
Extract customer feedback from any eBay product or seller page. Get review text, ratings, submission dates, and item prices to analyze competitor performance or monitor your own brand reputation.
This tool extracts customer reviews from eBay, targeting either specific product listings or a seller's overall feedback profile. It's designed for e-commerce sellers, brand managers, and market researchers who need a structured way to analyze customer sentiment and competitor performance. By providing a list of eBay URLs, you can collect detailed feedback data, including the reviewer's username, their overall feedback score, the specific star rating given, the full text of their comment, and the date it was submitted. The output also includes details about the product being reviewed, such as its name and price, linking the feedback directly to a specific item. This is particularly useful for understanding the reasons behind positive or negative feedback. You can identify common complaints about a competitor's product, spot quality control issues in your own inventory by monitoring recent reviews, or gather positive testimonials for marketing materials. The ability to scrape both individual item reviews and seller-wide feedback allows for both granular product analysis and broader assessment of a seller's reputation and customer service.
Find the eBay product page or seller feedback page you want to analyze.
Copy the URL(s) and paste them into the 'Start URLs' field.
Specify the maximum number of reviews you want to collect from each URL.
Run the tool to begin the extraction process.
Download the collected review data as a spreadsheet or JSON file.