Walmart Scraper

What Walmart Scraper can do

• Reviews and offers ride the same request as the product page. Every walmart.com product page ships its reviews and its seller offers in the same document as the product itself, so this actor returns them from one detail read instead of a separate call per review or per offer.
• A listing page returns full product rows for free. A search or browse page carries its whole result grid as structured data, so a listing-level pull returns price, was-price, rating, review count, seller and stock for every card with no per-product request at all.
• Filters that are actually true. The storefront's own sort and filter parameters are sent with the request, so filtering narrows results before they count against your item cap. Sponsored tiles are injected into the grid regardless of the active filters, and this actor re-checks every row so "hide sponsored" and "sold by Walmart" mean what they say.
• Search keywords and pasted links in one run. Mix keyword searches with pasted search, browse, shop or category links; each is walked on its own, page by page, with the storefront's own pagination bound.
• Monitoring built in. Label every record NEW, UPDATED, REAPPEARED or EXPIRED across scheduled runs, resume an interrupted crawl, and export results through MCP connectors.
• Structured failures. A run the storefront refuses fails loudly with a clear message instead of returning an empty dataset that looks like a search with no matches.

Choose what to collect

These inputs let you configure Walmart Scraper - Products, Prices, Sellers & Reviews. Open the actor on Apify to enter your values and review the current options.

Fields in the output

The documented dataset includes the fields below. Availability can depend on the source page and selected mode.

Example output

An example from this actor’s documentation. Values are illustrative; this is not a fresh live result.

{
  "kind": "product",
  "itemId": "000000000000",
  "url": "https://www.walmart.com/ip/Sample-Product-Name/000000000000",
  "title": "Sample Product Name 15-inch Laptop",
  "brand": "Sample Brand",
  "model": "SAMPLE-MODEL-01",
  "upc": "0000000000000",
  "shortDescription": "A sample product description written for this example.",
  "price": 199,
  "wasPrice": 249,
  "currency": "USD",
  "rating": 4.5,
  "reviewCount": 123,
  "ratingHistogram": {
    "1": 3,
    "2": 5,
    "3": 10,
    "4": 25,
    "5": 80
  },
  "recommendedPercentage": 90,
  "sellerName": "Sample Seller",
  "sellerType": "INTERNAL",
  "offerCount": 2,
  "offers": [
    {
      "sellerName": "Sample Seller",
      "price": 199,
      "condition": "New",
      "fulfilledByWalmart": false,
      "isBuyBoxWinner": true
    },
    {
      "sellerName": "Sample Reseller",
      "price": 209.5,
      "condition": "New",
      "fulfilledByWalmart": true,
      "isBuyBoxWinner": false
    }
  ],
  "availabilityStatus": "IN_STOCK",
  "inStock": true,
  "condition": "New",
  "categoryPath": "Electronics / Sample Category / Sample Subcategory",
  "badges": [
    "Sample badge"
  ],
  "sponsored": false,
  "fulfillmentOptions": [
    "DELIVERY",
    "PICKUP",
    "SHIPPING"
  ],
  "returnPolicy": {
    "returnable": true,
    "freeReturns": true,
    "windowDays": 90,
    "text": "Free 90 day returns"
  },
  "specifications": [
    {
      "name": "Sample specification",
      "value": "Sample value"
    }
  ],
  "reviews": [
    {
      "reviewId": "000000000",
      "rating": 5,
      "title": "Sample review title",
      "text": "Sample review text written for this example.",
      "submittedAt": "1/1/2026",
      "authorNickname": "SampleShopper",
      "verifiedPurchase": true,
      "helpfulVotes": 3
    }
  ],
  "priceScope": {
    "postalCode": "00000",
    "city": "Sample City",
    "state": "ST",
    "storeId": "00000"
  },
  "searchQuery": "sample keyword",
  "sourceUrl": "https://www.walmart.com/search?q=sample+keyword",
  "resultPage": 1,
  "resultPosition": 4,
  "changeType": "NEW",
  "changedFields": [],
  "firstSeenAt": "2026-09-04T02:00:00+00:00",
  "lastSeenAt": "2026-09-04T02:00:00+00:00"
}

Ways to use this data

• Price and stock monitoring: track prices, was-prices and availability for a product list or a category, and get alerted only to what actually changed.
• Marketplace and seller research: compare offers, seller types and fulfillment options across the same product to study competition on a listing.
• Catalog and assortment analysis: pull a whole category or search result to study assortment, brand coverage and pricing bands.
• Review and reputation analysis: collect ratings, rating breakdowns and customer review text for products you sell or compete with.
• Comparison shopping and repricing tools: feed live prices and seller data into your own pricing or comparison app through the API.

Before you run

Start with a small input and check the resulting records against your expected fields. Source content and actor options can change; the current Apify listing is the reference for availability and pricing.

Questions about this actor