Walmart Scraper

Slug: fatihtahta/walmart-scraper
Price: $1.00 per 1,000 saved products

This actor scrapes structured product data from Walmart.com. It processes search results, category pages, product listings, and direct product URLs, outputting clean, normalized data ready for analysis or integration.

Overview

The scraper turns Walmart's public product pages into a structured feed. It's built for tasks like price monitoring, catalog enrichment, competitor tracking, and market research. You're billed based on the number of products successfully saved to the dataset.

Key Features

• Flexible Targeting: Scrape from search queries (query), category URLs, curated lists, or direct product links (startUrls).
• Structured Output: Data is normalized into consistent fields (e.g., price, availability, specifications), eliminating manual cleanup.
• Comprehensive Data: Captures product details, variants, seller info, shipping options, and category paths.
• Fast Execution: Optimized for performance, even for large runs (default limit is 5000 items).
• Multiple Export Formats: Download results as JSON, CSV, Excel, or access them via the Apify API.

How to Use

1. Go to the actor on Apify: Walmart Scraper | $1 / 1k | Fast & Reliable (Slug: fatihtahta/walmart-scraper).
2. In the Input tab, configure your startUrls, query, and limit.
3. Start the actor and monitor the run in the console.
4. Once complete, download your dataset from the Storage tab in your preferred format.

Input Configuration

Configure the run using these key input fields:

• startUrls (array of strings): List of Walmart URLs to scrape (e.g., product pages, category pages).
• query (array of strings, optional): Keywords to search on Walmart.com.
• limit (integer, optional, default 5000): Maximum total number of products to scrape in the run.

Example Input:

{
  "startUrls": [
    "https://www.walmart.com/browse/electronics/laptops/3944_3951_1089430"
  ],
  "query": ["2 in 1 laptop"],
  "limit": 300
}

Output

Each item in the dataset represents a Walmart product. The output includes fields such as:

• id, name, brand, description, productUrl
• imageUrls[], price, priceCurrency, listPrice
• rating, reviewCount, availability (e.g., IN_STOCK)
• seller, shippingOptions[], variantAttributes[]
• breadcrumbs[], specifications (key-value pairs)
• crawlTs (ISO timestamp of when the data was scraped)

Data is available for download in JSON, CSV, Excel, or via the Apify API.

Pricing & Responsible Use

• Pricing: You are charged $1.00 per 1,000 products saved to the dataset.
• Responsible Use: This tool collects publicly available data. You are responsible for complying with Walmart's Terms of Service, and any applicable data protection regulations (like GDPR or CCPA) based on your jurisdiction and use case.

Support

For help, feature requests, or custom workflow inquiries, use the Issues tab on the actor's Apify page.