Walmart Reviews Scraper - Export Walmart Customer Reviews, Ratings & Photos

Walmart Reviews Scraper extracts customer reviews from Walmart.com as JSON, CSV, Excel, XML, or an API feed: star rating, title, review text, date, verified-purchase flag, helpful votes, photos, and the seller's response. Start from a product URL, item ID, reviews URL, search keyword, or category URL, and filter by star rating, verified purchases, and posting date. No Walmart account, cookies, or API key is needed.

This Actor is an independent tool, not affiliated with, endorsed by, or sponsored by Walmart. Its filters and output fields were last verified against live Walmart pages on 13 September 2026.

What does Walmart Reviews Scraper do?

It turns Walmart's review pages into one flat row per review, joined to its product on usItemId. Three things set it apart:

• Filters run on Walmart's side. Star-rating and verified-purchase filters are sent to Walmart, so you only download the reviews you asked for instead of paging through every review and throwing most away.
• Reviews for a whole search or category. Enter a keyword such as air fryer or paste a category URL, and the Actor collects reviews for the top products Walmart lists, up to the number of products you set.
• Only new reviews. Set a start date and each product stops at its first older review, which keeps scheduled monitoring runs short.

Features

• Scrape Walmart product reviews by product URL or item ID
• Scrape Walmart reviews for every product in a search or category
• Export Walmart reviews with rating, title, text and date
• Filter Walmart reviews by star rating, for example only 1- and 2-star reviews
• Get only verified purchase reviews from Walmart
• Scrape only Walmart reviews posted since a date
• Sort Walmart reviews by newest, oldest, most helpful, highest or lowest rating
• Get Walmart review photos and seller responses
• Get helpful and not-helpful vote counts for each review
• See which product variant each review was written for
• Export Walmart reviews to JSON, CSV or Excel, or pull them from the Apify API
• Use it as a Walmart reviews API alternative with no API key

Use cases

• Voice of the customer: sentiment analysis and topic mining on review text for your own or competing products.
• Negative review monitoring: a scheduled run with 1- and 2-star ratings and a start date surfaces new complaints to answer.
• Product research: compare what buyers praise and criticize across the top products of a category before sourcing or launching.
• Seller and brand reporting: verified-purchase share, helpful votes and seller responses over time.
• Machine learning datasets: labeled review text with star ratings for classification and summarization models.

How to use Walmart Reviews Scraper

1. Click Try for free to open the Actor in Apify Console.
2. Paste Walmart product URLs, or enter item IDs or search keywords.
3. Set Maximum products and Maximum reviews per product.
4. Optionally pick a sort order, star ratings, Verified purchases only, or a start date.
5. Click Start, then download the reviews from the Dataset tab or fetch them from the API.

Input parameters

Parameter	Type	Description
startUrls	array	Walmart product (/ip/), reviews (/reviews/product/), search or category (/browse/, /cp/) URLs
itemIds	string[]	Walmart item IDs, the number at the end of a product URL
searchTerms	string[]	Keywords; reviews are collected for the top products Walmart returns
maxProducts	integer	Products whose reviews are scraped, across all inputs (default 20); product URLs and item IDs come first, searches fill the rest
maxReviewsPerProduct	integer	Reviews per product (default 100, max 10,000)
reviewsSort	string	relevancy, helpful, submission-desc, submission-asc, rating-desc, rating-asc
reviewRatings	string[]	Star ratings to keep, e.g. ["1", "2"]
verifiedPurchasesOnly	boolean	Only verified-purchase reviews
reviewsSince	string	Only reviews posted on or after this date, YYYY-MM-DD
sortBy	string	Product order for search and category inputs, e.g. best_seller
proxyConfiguration	object	Apify proxy settings; keep the US residential default

includeRawData and maxConcurrency round out the Input tab.

Output example

A real review row:

{
  "type": "review",
  "usItemId": "18638703162",
  "productName": "HP 15.6 inch HD Windows Laptop Intel Processor N250 4GB 128GB UFS Moonlight Blue",
  "productUrl": "https://www.walmart.com/ip/18638703162",
  "reviewId": "426909885",
  "rating": 5,
  "title": "Buy This Computer",
  "text": "This laptop is light to carry and has a streamlined display thanks to Windows 11. The battery power is plentiful. I cannot think of anything I don't like about this laptop, or the experience of purchasing from Walmart.",
  "date": "2026-05-28",
  "userNickname": "anonymous",
  "userLocation": null,
  "verifiedPurchase": true,
  "incentivized": false,
  "recommended": null,
  "positiveFeedback": 11,
  "negativeFeedback": 0,
  "media": [],
  "sellerResponse": null,
  "fulfilledBy": "Walmart",
  "sellerName": "Walmart.com",
  "reviewedItemId": "18638703162",
  "variantFeatures": {
    "Color": "Moonlight blue"
  },
  "syndicationSource": null,
  "sourceUrl": "https://www.walmart.com/reviews/product/18638703162?sort=relevancy&page=1",
  "scrapedAt": "2026-09-12T17:49:23.017488+00:00"
}

media lists photo URLs, variantFeatures and reviewedItemId name the variant the review was written for, and syndicationSource is set when Walmart shows a review collected on another site.

How much does it cost?

Pay per event, no subscription. Apify platform usage (compute, proxy, storage) is included in the event prices.

Event	Charged for	Price
Actor start	Once per run	$0.001
Review	One review row	$0.0005

• 10,000 reviews of one product: 10,000 × $0.0005 + $0.001 = $5.00.
• 20 products with 100 reviews each: 2,000 × $0.0005 + $0.001 = $1.00.

Filters are applied by Walmart, so reviews you filter out are never downloaded or charged.

A measured run on Apify with US residential proxies at 1 GB returned 220 one-star, verified-purchase reviews for 4 products in 10 seconds, about $0.11 at these prices.

Limitations

• Up to 10,000 reviews per product for each sort order and filter. Walmart does not list more. For a product with more reviews, run one star rating at a time; each rating is its own list.
• Only reviews with text. Walmart's review count includes star ratings without a written review, which Walmart does not list.
• Reviews are pooled across variants. Walmart shows the same reviews on every size or color of a product; variantFeatures and reviewedItemId show which variant each review was written for.
• Search and category inputs cover the products Walmart lists, about 40 per page.
• Not supported: walmart.ca, seller storefront pages and review photos as files (photo URLs are included).
• Review rows include public reviewer nicknames. Handle personal data according to the rules that apply to you.

FAQ

Do I need a Walmart API key or account?

No. The Actor reads public Walmart review pages, so there is no login, cookie, or API key, and no daily call limit.

How many reviews can I get for one product?

Up to 10,000 for each sort order and filter, 50 per page. For more, run the star ratings separately, for example 1 to 4 stars in one run and 5 stars in another.

Why do I get fewer reviews than the product's review count?

Walmart's count includes star ratings left without a written review. Those are not listed anywhere, so they cannot be scraped.

Can I get only negative reviews?

Yes. Set Star ratings to 1 and 2 stars, or sort by lowest rating first.

Can I get only reviews posted since my last run?

Yes. Set Reviews posted since to a date. Reviews are sorted newest first and each product stops at its first older review.

Can I scrape reviews for all products in a Walmart category?

Yes. Paste the category URL or enter a keyword, and set Maximum products. Use Product order to start from best sellers or top-rated products.

Is it legal to scrape Walmart reviews?

The Ninth Circuit held that accessing publicly available web data does not violate the Computer Fraud and Abuse Act (hiQ Labs v. LinkedIn, 2022). This Actor only reads public pages and never logs in. That is not legal advice: review Walmart's terms and the privacy rules that apply to reviewer data.

Which proxies should I use?

US residential, the default and the configuration the Actor is tested with. When Walmart rejects a session, the Actor retries the request on a fresh proxy session, up to three per page.

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