Walmart Product Monitor — Search, Prices, Reviews & Stock

Keyless Walmart scraper covering the whole product surface in one actor: search results, full product details, customer reviews, and a watch mode built for scheduled price-drop and stock monitoring.

E-com sellers, arbitrage resellers, and price-intelligence teams run this data on schedules — this actor was built to be the thing they schedule.

Mode	What it does
search	Product search — name, price, was-price, rating, review count, seller, stock status, sponsored flag
product	Full product detail by item ID or URL — price, brand, category, fulfillment options, description
reviews	Newest customer reviews per product — rating, text, date, verified purchase + full star-count histogram
watch	Snapshot rows with priceDropped flag — price, was-price, rating, review count, stock per product

No API key. No login. Pay only per row returned.

Why monitor Walmart?

• Price-drop alerts — watch on a schedule → wasPrice/price diff catches competitor markdowns same-day
• Competitor tracking — monitor rival sellers' prices, ratings, and stock on your product lines
• Review velocity — numberOfReviews growth between snapshots = sales-velocity proxy
• Catalog research — search maps a keyword's competitive landscape: prices, sellers, ratings, stock
• Stock watching — stockStatus flips signal restocks on constrained SKUs
• Arbitrage sourcing — find underpriced inventory: search + maxPrice + sort: price_low

How it works

The actor reads Walmart.com's public product pages — the same data the store shows a browser, extracted from embedded structured data. No authentication required.

Example inputs

Keyword search with filters

{
  "mode": "search",
  "query": "air fryer",
  "maxResults": 100,
  "sort": "price_low",
  "maxPrice": 80
}

Product details (IDs or URLs)

{
  "mode": "product",
  "itemIds": ["18611919209", "https://www.walmart.com/ip/Some-Product/547940186"]
}

Review mining

{
  "mode": "reviews",
  "itemIds": ["18611919209"],
  "maxReviews": 10
}

Daily price/stock watch (the money mode)

{
  "mode": "watch",
  "itemIds": ["18611919209", "547940186", "149503642"]
}

Schedule this hourly or daily — each run emits one product_snapshot row per item with price, wasPrice, priceDropped, rating, reviewCount, stockStatus. Diff across runs for alerts.

Example output

{
  "recordType": "product_snapshot",
  "itemId": "18611919209",
  "name": "HP 14 inch HD Windows Laptop Intel Processor N150 4GB",
  "price": 199.0,
  "wasPrice": 259.0,
  "priceDropped": true,
  "rating": 4.1,
  "reviewCount": 1534,
  "seller": "Walmart.com",
  "stockStatus": "IN_STOCK",
  "scrapedAt": "2026-10-14T17:05:00+00:00"
}

{
  "recordType": "review",
  "itemId": "18611919209",
  "rating": 5,
  "content": "I love the color, it's fast enough for schoolwork...",
  "date": "9/30/2026",
  "verifiedPurchase": true,
  "totalReviewCount": 1534,
  "productRating": 4.1,
  "scrapedAt": "2026-10-14T17:06:00+00:00"
}

Pricing

$0.001 per result — a 100-SKU daily watch run costs $0.10/day ($3/month). Search: 100 products ≈ $0.10. Compare: dedicated retail-intelligence platforms start at $100+/month.

Honest limits

• Reviews returns the ~10 reviews embedded per product page (full review pagination isn't offered rather than promised). The star-count histogram + total count cover aggregate sentiment.
• Walmart rate-limits datacenter IPs — for frequent/large schedules, enable Proxy configuration (residential recommended).
• search caps at one page of embedded results per query (~60-80 items).

FAQ

Do I need a Walmart API key? No — everything comes from Walmart's public web pages. No auth, no developer account.

What IDs work? Numeric item IDs (18611919209) or any Walmart product URL containing /ip/.../{id} — the actor extracts the ID automatically.

What does priceDropped mean? watch rows set priceDropped: true when the current price is below the listed wasPrice — instant markdown detection.

Is it legal to scrape this data? The actor only accesses publicly available product pages — the same listings a browser sees. Scraping public data for research, monitoring, and analysis is common practice, but platform Terms of Service and the rules in your jurisdiction still apply to how you use it. Consult legal counsel for your specific case.

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Not affiliated with Walmart Inc. Uses publicly accessible pages — respect Walmart's Terms of Service.