How to Scrape Walmart Product Data: Prices, Stock, and Reviews

A practical guide to pulling structured product data from Walmart.com using the NanoScrape Walmart Product Scraper on Apify. Provide product URLs or bare item IDs and get back price, list price, unit price, stock status, star ratings, seller type (1P vs 3P), shipping, pickup availability, high-resolution images, feature highlights, specifications, variants, and top reviews. The actor runs in Go, uses no browser, and costs about $1.30 per 1,000 products.

What you get

Each run returns one JSON object per Walmart product. The object includes 32 to 40 fields pulled directly from Walmart's internal __NEXT_DATA__ JSON block, so values come out clean with no fragile CSS selectors and no stray currency symbols.

• Pricing: price, listPrice (struck-through price when on sale), unitPrice (with unit label such as cents per fl oz).
• Stock and availability: inStock, availabilityStatus (IN_STOCK, OUT_OF_STOCK, or LIMITED_STOCK), stockText.
• Ratings: stars, reviewsCount, starsBreakdown (five-way histogram as fractions), answeredQuestions.
• Seller: sellerType (1P for sold by Walmart or 3P for a marketplace seller), seller.name, seller.id, seller.url.
• Fulfillment: shipping (method, cost, estimated days), pickup (store availability), delivery (home delivery estimate).
• Content: title, brand, description, features, specifications, breadCrumbs, highResolutionImages.
• Badges: isRollback, isClearance, isFlashDeal, isBestSeller.
• Variants and reviews: variantDetails (per-variant item IDs with prices and availability), topReviews (up to 8 reviews with stars, text, author, and date).

{
  "itemId": "5689919121",
  "url": "https://www.walmart.com/ip/Apple-AirPods-Pro-Wireless-Earbuds-MagSafe-Case-USB-C/5689919121",
  "title": "Apple, AirPods Pro, Wireless Earbuds with MagSafe Case (USB-C)",
  "brand": "Apple",
  "modelNumber": "MTJV3AM/A",
  "price": { "value": 199, "currency": "USD", "raw": "$199.00" },
  "listPrice": { "value": 249, "currency": "USD", "raw": "$249.00" },
  "stars": 4.4,
  "reviewsCount": 44416,
  "starsBreakdown": { "5star": 0.777, "4star": 0.073, "3star": 0.031, "2star": 0.021, "1star": 0.097 },
  "inStock": true,
  "availabilityStatus": "IN_STOCK",
  "seller": { "name": "Walmart.com", "type": "1P" },
  "sellerType": "1P",
  "categoryPath": "Electronics / Wireless / Headphones",
  "scrapedAt": "2026-07-30T09:12:44Z"
}

Prerequisites

• A free Apify account. Sign up at the actor page. Every account gets $5 of free monthly usage credit, enough for about 3,700 Walmart products.
• At least one Walmart product URL or item ID to scrape. You can find item IDs in any Walmart product URL, for example https://www.walmart.com/ip/product-name/10450114.

STEP 1

Open the actor and sign up

1. Open the NanoScrape Walmart Product Scraper on Apify.
2. Click Try for free. Sign up with Google or email. The free tier includes $5 of monthly credit with no payment method required to get started.
3. Once signed in, click Try for free again on the actor page. The Apify Console opens with the input form pre-loaded and ready to fill in.

Tip: the free $5 monthly credit covers roughly 3,700 Walmart products at $0.0013 per result. You only pay if you go over.

STEP 2

Add product URLs or item IDs

The actor accepts two types of input. Use startUrls for product page links, or itemIds for bare numeric item IDs. Both inputs can be combined in the same run and duplicates are removed automatically.

Using product URLs

Paste one or more Walmart product page links into the Start URLs field. Any URL format works: /ip/12345678, /ip/product-slug/12345678, or the full share URL copied from a browser.

{
  "startUrls": [
    { "url": "https://www.walmart.com/ip/Great-Value-Whole-Vitamin-D-Milk-1-Gallon-128-fl-oz/10450114" },
    { "url": "https://www.walmart.com/ip/Apple-AirPods-Pro-Wireless-Earbuds-MagSafe-Case-USB-C/5689919121" }
  ]
}

Using bare item IDs

If you have a list of item IDs (the 5 to 12 digit number at the end of any Walmart URL), paste them into the Item IDs field, one per line. This is the faster input method when you already have a SKU catalog.

{
  "itemIds": ["10450114", "5689919121", "14566603957", "2513765448"]
}

STEP 4

Run and download results

Click Save and Run at the bottom of the form. A progress log appears on the right side of the Console. Most runs finish in under 30 seconds for a handful of products.

Open the Dataset tab to see results in a table. Click Export at the top right to download:

• JSON for code, databases, or automation tools like n8n, Make, and Zapier.
• CSV for Google Sheets, Excel, or Airtable.
• JSONL for streaming pipelines and large result sets.

Invalid item IDs: Walmart product pages for delisted or invalid item IDs contain a null product node in the internal data block. The actor detects this and skips the item without charging you for it.

Automate with the API

Call the actor from your own code or data pipeline using the Apify REST API. Replace YOUR_TOKEN with the Personal API token found in Apify Console, under Settings, then Integrations.

curl -sS -X POST \
  'https://api.apify.com/v2/acts/santamaria-automations~walmart-scraper/run-sync-get-dataset-items?token=YOUR_TOKEN' \
  -H 'Content-Type: application/json' \
  -d '{
    "itemIds": ["10450114", "5689919121"],
    "scrapeReviewSample": true,
    "scrapeVariants": false
  }'

The run-sync-get-dataset-items endpoint starts the actor, waits for it to finish, and returns the full dataset in one HTTP response. For larger batches use the async run endpoint and poll the run status until it reaches SUCCEEDED.

Use with AI agents via MCP

Connect the actor to any MCP-compatible AI client such as Claude Desktop, Claude.ai, Cursor, VS Code, LangChain, or LlamaIndex using the Apify MCP server URL:

https://mcp.apify.com?tools=santamaria-automations/walmart-scraper

Example prompt once connected: "Use walmart-scraper to fetch the current price, rating, stock status, and seller type for Walmart item IDs 10450114, 5689919121, and 14566603957. Return a markdown table with columns: itemId, title, price, stars, reviewsCount, sellerType, stockText." Clients that support dynamic tool discovery such as Claude.ai and Cursor receive the full input schema automatically.

Common use cases

• Repricing: pull price, listPrice, unitPrice, and isRollback daily for a catalog of SKUs. Compare against your own pricing or against competitor listings on other platforms.
• Stock monitoring: track inStock, availabilityStatus, pickup.available, and delivery.available to trigger restock alerts or update your fulfillment logic.
• 1P vs 3P monitoring: watch sellerType and seller.id to detect when Walmart hands a listing to a marketplace seller. Transitions from 1P to 3P often signal a price change or fulfillment shift.
• Competitive intelligence: compare stars, reviewsCount, starsBreakdown, and topReviews across competing item IDs to benchmark product quality and customer sentiment.
• Rollback tracking: filter by isRollback: true and calculate the ratio of listPrice to price to find live Walmart promotions and temporary price cuts.
• Catalog enrichment: pull features, specifications, shortDescription, and highResolutionImages to populate your own product feed without manual copy work.
• Variant discovery: use variantDetails to enumerate all sibling SKUs of a parent listing with their prices and availability. Pass the variant IDs in a follow-up run to enrich each one separately.

What it costs

• Actor start: $0.001 per run. The actor uses 128 MB of RAM, so each run costs $0.001 to start regardless of how many products you request.
• Per product: $0.0013 per result returned. Invalid or delisted item IDs that return no data are not charged.
• In practice: 1,000 products costs about $1.30 total (start fee plus per-result cost). The $5 free monthly credit covers roughly 3,700 products.

FAQ

Related resources

• Walmart Product Scraper on Apify: Full actor documentation with all input fields, output field reference, and pricing details.
• How to Scrape eBay Product Listings: Companion tutorial for scraping eBay active listings across 8 regional marketplaces. Useful for cross-platform price comparison.