Walmart Price Scraper

What does it do?

Walmart Price Scraper extracts product listings from Walmart.com, the largest brick-and-mortar retailer in the world. It searches by keyword and collects detailed product information including names, current prices, previous prices, rollback status, star ratings, review counts, seller information, and availability status. The scraper handles multiple search terms and pagination automatically so you can gather large datasets quickly.

Why use this scraper?

Walmart.com hosts millions of products across every consumer category from electronics to groceries. This scraper enables competitive pricing analysis, rollback and sale tracking, product availability monitoring, and retail market research at scale. Whether you are comparing Walmart prices against Amazon or Target, monitoring rollback promotions for deal arbitrage, tracking seller marketplace activity, or building a price intelligence platform, this tool provides the structured data you need without manual browsing.

How to use

1. Navigate to the Walmart Price Scraper on Apify.
2. Enter your search keywords in the input configuration.
3. Set the maximum number of results per search term.
4. Click "Start" to begin scraping.
5. Download results in JSON, CSV, or Excel format.

Use the Apify API for automated workflows, scheduled runs, and integration with your existing data pipelines and business intelligence tools.

Input configuration

Parameter	Type	Description
searchTerms	Array	Keywords to search on Walmart.com (default: laptop, headphones, running shoes)
maxResults	Integer	Maximum products per search term (default: 100)
proxyConfig	Object	Proxy settings for the scraper

Output data

The scraper outputs a dataset with the following fields:

{
  "name": "HP 15.6 Laptop Intel Core i5 8GB 256GB SSD",
  "price": "$349.00",
  "wasPrice": "$449.00",
  "rollback": "Yes",
  "rating": 4.3,
  "reviewCount": 2156,
  "seller": "Walmart",
  "availability": "In Stock",
  "url": "https://www.walmart.com/ip/HP-15-Laptop/123456789",
  "searchTerm": "laptop",
  "scrapedAt": "2026-02-19T10:00:00.000Z"
}

Cost of usage

This scraper uses Cheerio for fast, lightweight HTML parsing. Approximate cost is $0.75 per 1,000 products scraped using Apify proxy. Actual costs depend on the number of search terms and result depth. The lightweight Cheerio-based architecture ensures minimal compute usage and fast execution times compared to browser-based scrapers.

Tips

• Use specific product names or model numbers for precise price lookups.
• Track rollback status to identify promotional pricing opportunities automatically.
• Schedule daily runs to build historical price databases for trend analysis.
• Compare Walmart prices with other retailer scrapers for price matching intelligence.
• Filter results by seller to distinguish Walmart direct listings from marketplace sellers.
• Export data to spreadsheets or databases for dashboards and reporting.
• Use the wasPrice field to calculate discount percentages and identify the best deals.

---

Built with Crawlee and Apify SDK. See more scrapers by consummate_mandala on Apify Store.