Walmart Data Scraping Services

Extract comprehensive product data, pricing intelligence, inventory levels, and reviews from Walmart.com and Walmart Marketplace. Access both online and in-store product information across USA, Canada, and Mexico.

What We Extract from Walmart

Product Data

• Product Details: Titles, descriptions, brand, model numbers, UPC/EAN codes, item IDs
• Pricing: List prices, sale prices, rollback prices, savings badges, special offer pricing
• Images & Media: Product images, 360-degree views, video content, infographics
• Specifications: Technical specs, dimensions, warranty info, ingredients (food items)
• Categories: Department, category, aisle placement, browse path

Inventory & Availability

• Online Stock: In stock, out of stock, limited stock, pre-order status
• Store Availability: Check stock by zip code, store-specific inventory
• Pickup Options: Pickup today, pickup tomorrow, curbside available
• Delivery Options: 2-day shipping, next-day delivery, same-day delivery
• Fulfillment: Sold & shipped by Walmart, marketplace sellers, Walmart+

Customer Reviews

• Review Content: Full review text, star ratings, verified purchase badges
• Review Insights: Pros and cons, customer images, review helpfulness
• Rating Breakdown: 5-star to 1-star distribution, average rating
• Review Volume: Total review count, recent review trends

Marketplace Data

• Seller Information: Seller name, seller rating, seller performance metrics
• Offer Comparison: Multiple seller offers with pricing and shipping
• Buy Box: Current offer winning the buy box
• Seller Feedback: Seller reviews and ratings

Pricing Intelligence

• Price History: Historical pricing data, price trend analysis
• Competitor Pricing: “Compare with similar items” data
• Related Products: “Customers also considered”, “Similar items”
• Promotional Data: Rollback pricing, clearance items, special buys

API Endpoints

GET /api/v1/walmart/product/{item_id}
GET /api/v1/walmart/search?q={query}&page={page}
GET /api/v1/walmart/category/{category_id}
GET /api/v1/walmart/reviews/{item_id}
GET /api/v1/walmart/inventory/{item_id}?zip={zipcode}
GET /api/v1/walmart/store-availability/{item_id}?store={store_id}
GET /api/v1/walmart/price-history/{item_id}
GET /api/v1/walmart/trending

Use Cases

Retail Intelligence

• Competitive Pricing: Monitor Walmart’s pricing strategy across categories
• Assortment Analysis: Track product availability, new product launches
• Promotional Tracking: Identify rollback items, clearance patterns
• Market Share: Analyze category presence and competitive positioning

For Walmart Sellers

• Price Optimization: Stay competitive while maintaining profit margins
• Inventory Management: Avoid stock-outs, optimize reorder points
• Buy Box Monitoring: Track buy box win rate, optimize listings
• Review Management: Monitor product reviews, respond to customer feedback

For Brands & Manufacturers

• MAP Compliance: Monitor minimum advertised price violations
• Distribution Analysis: Track which sellers carry your products
• Brand Presence: Monitor brand representation, unauthorized sellers
• Content Monitoring: Ensure accurate product descriptions and images

Geographic Coverage

• United States: Walmart.com (primary marketplace)
• Canada: Walmart.ca
• Mexico: Walmart.com.mx
• Store Data: 4,700+ US stores, 400+ Canadian stores, 2,800+ Mexican stores

Technical Specifications

Data Freshness

• Price Updates: Every 15 minutes
• Inventory Updates: Every 30 minutes
• Review Updates: Hourly
• Store Availability: Real-time

Performance

• API Response Time: <300ms average
• Rate Limits: 100 requests/second (Enterprise)
• Uptime: 99.9% SLA
• Data Formats: JSON, CSV, XML

Code Examples

Python - Check Store Availability

import nextract

client = nextract.Client(api_key='your_api_key')

# Check product availability at specific store
availability = client.walmart.check_store_availability(
    item_id='12345678',
    zip_code='94105'
)

for store in availability['stores']:
    print(f"{store['name']}: {store['stock_status']}")
    print(f"  Distance: {store['distance']} miles")
    print(f"  Pickup: {'Available' if store['pickup_available'] else 'Not available'}")

Node.js - Track Price Changes

const Nextract = require('nextract');
const client = new Nextract.Client('your_api_key');

// Get price history for analysis
const priceHistory = await client.walmart.getPriceHistory('12345678', {
  days: 30
});

// Calculate price trends
const avgPrice = priceHistory.reduce((sum, day) => sum + day.price, 0) / priceHistory.length;
console.log(`Average price (30 days): $${avgPrice.toFixed(2)}`);