Extract customer reviews and ratings for any Walmart product.
Provide urls of Walmart category, search or product pages.
Enter the maximum number of products you want to scrape per each star URL.
Enter the maximum number of reviews you want to scrape per each product.
Choose how to order the reviews. Note: 'Review Date From' filter only works with 'Newest to Oldest' sort type.
Search all reviews with date from this limit, for example 2024-01-30 will return reviews with date >= 2024-01-30. Only works when sort type is set to 'Newest to Oldest' (submission-desc).
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.
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Pricing
Scrape customer reviews from any Walmart product, category, or search URL. Get review text, ratings, submission dates, and helpfulness scores to analyze customer sentiment and product feedback.
This tool extracts customer reviews directly from Walmart.com, turning anecdotal feedback into structured data. It's designed for anyone who needs to understand what real customers are saying about products, from brand managers tracking a new launch to market researchers analyzing category trends. ### How it works You can start with specific product page URLs or go broader with links to category or search result pages. The tool will find the products and then extract the reviews associated with them. You have control over the scale, setting limits on how many products to check and how many reviews to pull from each one. This allows for both targeted analysis of a single item and broad sweeps of a market segment. ### What you get For each review, you receive the core data: the star rating, review title, full text, and the reviewer's nickname. Crucially, you also get metadata like the submission date, the number of 'helpful' and 'not helpful' votes, and whether the customer would recommend the product. This data can be sorted by relevance, helpfulness, date, or rating, and you can even filter to get only reviews submitted after a specific date, which is ideal for tracking sentiment over time.
Paste one or more Walmart URLs into the 'Start urls' field. These can be links to products, categories, or search results.
Set the maximum number of products you want to scrape from each starting URL.
Define the maximum number of reviews you want to extract from each individual product.
Choose how to sort the reviews, such as by date, helpfulness, or rating.
Optionally, add a start date to only collect reviews published recently. This requires sorting by 'Newest to Oldest'.
Run the tool and download your collected review data in CSV, JSON, or Excel format.