Walmart Scraper (Pay-Per-Event)

Scrape Walmart product data including prices, ratings, reviews, seller info, brand, and deal badges from search results.

What does Walmart Scraper do?

Walmart Scraper extracts product data from Walmart search results. For every keyword you provide, it returns one structured record per unique product including current price, original "was" price, savings amount and percent, rating, review count, seller name, deal badges (Rollback, Best seller, "100+ bought since yesterday"), brand, and the direct product URL.

Use it for price monitoring, competitive intelligence, dropshipping research, market analysis, and deal tracking — without managing proxies, retries, or HTML parsing yourself.

Run it once on demand or schedule it to track price changes over time. Results download as JSON, CSV, or Excel, or stream live via the Apify API.

Who is it for?

• E-commerce analysts building competitive pricing dashboards
• Dropshippers finding products with strong ratings and pricing gaps
• Price comparison services cross-referencing Walmart against Amazon, Target, and others
• Market researchers analyzing product availability and seller distribution
• Deal trackers finding Rollback and Clearance items in specific categories

Use cases

• Price monitoring — track current vs original prices, savings, and discount percentages over time.
• Competitive intelligence — research product listings, seller distribution, and pricing strategies.
• Dropshipping research — find high-rated products with strong margins.
• Market analysis — analyze availability, rating distributions, and seller competition across categories.
• Deal tracking — monitor Rollback deals, Clearance items, and "Best seller" badges.
• E-commerce analytics — build price-history datasets by keyword and category.

Why use Walmart Scraper?

• Rich data extraction — price, original price, savings, discount percent, rating, review count, seller, deal badge, brand, thumbnail, product URL.
• Run-level deduplication — duplicate products that appear in overlapping searches or sponsored-then-organic placements are written once and billed once, not twice.
• Numeric prices — price and wasPriceValue are returned as numbers, ready for math without string parsing.
• Computed discountPercent — Walmart returns the savings dollar amount; we also calculate the percentage so you can sort by deepest discount directly.
• Multiple sort options — best match, best seller, price low/high, highest rating, new arrivals.
• Multi-page pagination — up to 25 pages per keyword (~1000 products).
• Residential proxy — uses Apify's residential proxy for reliability against Walmart's bot detection.
• Pay-per-event pricing — only pay for products written to the dataset. No monthly subscription.

What data can you extract?

Each product in the output includes:

Field	Description
usItemId	Walmart item identifier (stable across pages — used for deduplication)
name	Product name
price	Current price as a number (USD)
priceString	Formatted price string (e.g., "$23.78")
wasPrice	Original price as a string (e.g., "$29.38")
wasPriceValue	Original price as a number — easier to math against
savings	Savings text (e.g., "SAVE $5.60")
onSale	Whether the product is discounted
discountPercent	Computed discount percentage (1 decimal place)
rating	Average rating (0–5)
reviewCount	Number of customer reviews
seller	Seller name (e.g., "Walmart.com")
fulfillmentType	Delivery / fulfillment method
flag	Deal badge (e.g., "Rollback", "Best seller", "100+ bought since yesterday")
thumbnail	Product image URL
url	Direct link to the Walmart product page
isSponsored	Whether the listing is a sponsored placement
brand	Product brand. Best-effort: read from Walmart when present, otherwise inferred from the first token of name against a generic-word denylist. Null when neither path is confident.
currency	ISO 4217 currency code (always "USD")
pageNumber	Which search result page this product appeared on
searchQuery	Which input keyword surfaced this product
scrapedAt	ISO 8601 timestamp when the record was extracted

Output example

{
  "usItemId": "17828556665",
  "name": "JLab Go Air Pop Bluetooth Earbuds, True Wireless with Charging Case",
  "price": 23.78,
  "priceString": "$23.78",
  "wasPrice": "$29.38",
  "wasPriceValue": 29.38,
  "savings": "SAVE $5.60",
  "onSale": true,
  "discountPercent": 19.1,
  "rating": 4.5,
  "reviewCount": 34286,
  "seller": "Walmart.com",
  "fulfillmentType": "Free shipping, arrives tomorrow",
  "flag": "500+ bought since yesterday",
  "thumbnail": "https://i5.walmartimages.com/seo/...",
  "url": "https://www.walmart.com/ip/JLab-Go-Air-Pop-Bluetooth-Earbuds/...",
  "isSponsored": false,
  "brand": "JLab",
  "currency": "USD",
  "pageNumber": 1,
  "searchQuery": "wireless earbuds",
  "scrapedAt": "2026-05-22T13:40:32.821Z"
}

Input parameters

Parameter	Type	Default	Description
searchQueries	array	—	Required. List of keywords to search on Walmart. Each keyword runs a separate search.
maxProductsPerSearch	integer	100	Maximum number of unique products to return for each keyword.
maxSearchPages	integer	5	Max search result pages per keyword (capped at 25; ~40 products per page).
sort	string	"best_match"	One of best_match, best_seller, price_low, price_high, rating_high, new.
maxRequestRetries	integer	5	Number of retry attempts for failed requests (1–10).
proxyConfiguration	object	residential	Apify proxy configuration. Residential is strongly recommended.

How to scrape Walmart products

1. Open Walmart Scraper in Apify Console.
2. Enter one or more search keywords (e.g., laptop, wireless earbuds).
3. Choose a sort order.
4. Set maxProductsPerSearch and maxSearchPages.
5. Click Start and download results as JSON, CSV, or Excel.

How much does it cost to scrape Walmart?

Walmart Scraper uses pay-per-event pricing — you only pay for products written to the dataset. Duplicates across keywords and pages are deduplicated by usItemId and not double-billed.

Event	Price (Free / Bronze)	Price (Business Gold, –48%)
Actor start (per run)	$0.001	$0.001
Product scraped	$4.60 / 1,000	$2.40 / 1,000

Cost examples:

• 40 products (1 page): ~$0.18
• 100 products (2–3 pages): ~$0.46
• 200 products (5 pages): ~$0.92
• 1000 products (25 pages): ~$4.60

Platform usage costs (compute, residential proxy) are included in the per-event price.

API usage

Node.js

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });

const run = await client.actor('prodiger/walmart-scraper').call({
    searchQueries: ['laptop'],
    maxProductsPerSearch: 40,
    sort: 'price_low',
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((product) => {
    console.log(`$${product.price} - ${product.name} (${product.rating}/5, ${product.reviewCount} reviews)`);
});

Python

from apify_client import ApifyClient

client = ApifyClient('YOUR_APIFY_TOKEN')

run = client.actor('prodiger/walmart-scraper').call(run_input={
    'searchQueries': ['laptop'],
    'maxProductsPerSearch': 40,
    'sort': 'price_low',
})

for product in client.dataset(run['defaultDatasetId']).list_items().items:
    print(f"${product['price']} - {product['name']} ({product['rating']}/5, {product['reviewCount']} reviews)")

cURL

curl "https://api.apify.com/v2/acts/prodiger~walmart-scraper/runs" \
  -X POST \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_API_TOKEN" \
  -d '{
    "searchQueries": ["organic coffee"],
    "maxProductsPerSearch": 40,
    "sort": "best_match"
  }'

Use with AI agents via MCP

Walmart Scraper is available as a tool for AI assistants that support the Model Context Protocol (MCP).

Setup for Claude Code

claude mcp add --transport http apify "https://mcp.apify.com?tools=prodiger/walmart-scraper"

Setup for Claude Desktop, Cursor, or VS Code

{
    "mcpServers": {
        "apify": {
            "url": "https://mcp.apify.com?tools=prodiger/walmart-scraper"
        }
    }
}

Example prompts

• "Search Walmart for organic coffee and show me the cheapest 20 products."
• "Find the best-selling laptops on Walmart sorted by rating."
• "Compare Walmart prices for these 10 product keywords."

Integrations

Walmart Scraper works with all standard Apify integrations:

• Webhooks — get notified when a run finishes.
• API — start runs and fetch results programmatically.
• Scheduling — run daily to build price history datasets.
• Storage — export as JSON, CSV, or Excel; push to Google Sheets, Slack, or email.
• Zapier / Make / n8n — connect Walmart data to thousands of apps.

Tips and best practices

• Use price_low to surface deep discounts first.
• Check onSale and discountPercent to filter for genuine deals — discountPercent is computed for you.
• Filter by seller === "Walmart.com" to isolate first-party listings from third-party marketplace sellers.
• Schedule daily with the same keywords to build a price history. At ~$0.0046 per product, tracking 200 products daily costs about $0.92/day on Free tier or $0.48/day on Business Gold.
• Combine keywords — passing multiple keywords in one run is cheaper than starting multiple runs because of run-level deduplication on overlapping items.

Limitations

• Walmart uses aggressive bot detection. The scraper uses residential proxies and automatic retries. Increase maxRequestRetries to 7–10 for noisier IP pools.
• Returns ~40 products per page, up to 25 pages (~1000 products per keyword).
• brand may be null for sponsored placements that omit it.
• Walmart.com (US) only. Does not support international Walmart sites.
• Does not scrape individual product pages, reviews, or seller profiles.

FAQ

The scraper returns 0 results for my keyword. What's wrong? Walmart's bot detection may temporarily block a request. Try increasing maxRequestRetries to 7–10 and re-running. Verify the keyword returns results on walmart.com directly — very niche or misspelled terms may return empty pages.

Are duplicate products charged twice? No. We deduplicate by usItemId across the whole run, so the same item showing up under two keywords (or as sponsored on page 1 and organic on page 2) is written and billed exactly once.

Can I filter by seller (Walmart.com vs third-party)? There's no input filter for seller, but the output includes the seller field. Filter in your pipeline by seller === "Walmart.com" to isolate first-party listings.

Legality

Scraping publicly accessible product data from Walmart.com — prices, ratings, and other information visible to any shopper without logging in — is generally legal based on established case law (notably hiQ Labs v. LinkedIn, 9th Cir. 2022).

Walmart Scraper:

• Does not require authentication or bypass any login
• Does not access private account data or restricted pages
• Does not download or reproduce copyrighted content beyond facts (prices, ratings, product names)
• Uses publicly visible search results that any shopper can see

Walmart's Terms of Use prohibit scraping. For personal research or small-scale use, enforcement is rare. For enterprise or legally sensitive use cases, consult legal counsel about the specific application.