Free Walmart Scraper Tool – Extract Product Listings & Pricing

Free Walmart Product Scraper

What is Free Walmart Product Scraper?

Free Walmart Product Scraper is a powerful Walmart data extraction tool built on Apify that allows you to scrape product listings, prices, reviews, and detailed product information directly from Walmart. It is designed for eCommerce businesses, marketers, and developers who want to automate product research, competitor analysis, price tracking, and data collection — without using Walmart’s official API.

➡️ Simply enter Walmart product URLs and extract structured product data including titles, prices, images, variants, reviews, and seller information.

Why Use This Walmart Scraper?

Use this scraper to:

• Extract product data from Walmart at scale
• Monitor competitor pricing and product listings
• Analyze product reviews and ratings
• Discover profitable products for eCommerce
• Automate data collection workflows

Features

• Scrapes detailed product information directly from Walmart product pages.
• Supports single and bulk product URLs in one run.
• Extracts comprehensive product-level data:
  • Product title
  • Price & discounts
  • Ratings & review count
  • Product description
  • Product images
  • Product URL
  • Product variants (size, color, options)
  • Availability / stock status
  • Seller information (when available)
• Structured output ready for JSON, CSV, or Excel export via Apify datasets.

How to Use Free Walmart Product Scraper on Apify

Using the Actor

To use this actor on Apify, follow these simple steps:

1. Go to the Free Walmart Product Scraper on the Apify platform.

2. Input Configuration:

   • Enter one or more Walmart product URLs you want to scrape.
   • Optionally enable review scraping and set a maximum number of items to process.

Input Configuration

The actor accepts the following input parameters (as used in your example):

{
  "productUrls": [
    "https://www.walmart.com/ip/XXXXXXXX"
  ],
  "scrapeReviews": true,
  "maxItems": 50
}

• productUrls (required): Array of Walmart product URLs to scrape.
• scrapeReviews (optional): Whether to scrape reviews and rating data (default: false if not provided).
• maxItems (optional): Maximum number of products to process in a single run.

3. Run the Actor:

   • Click the Start button to begin scraping.
   • The actor will visit each product URL, extract product data, and save it to a dataset.

4. Access Your Results:

   • Once complete, view your results in the Dataset tab.
   • Download the data in JSON, CSV, or Excel format.
   • Alternatively, access the data programmatically via the Apify API.

5. Schedule Regular Runs (Optional):

   • Schedule the actor to run periodically to track prices, stock, and catalog changes.
   • Use webhooks to trigger downstream automations when new data is available.

Output

All results are stored in Apify dataset storage. Each item typically includes:

• Product details (title, description, URL)
• Pricing information (price, discounts)
• Ratings and review counts (when scrapeReviews is enabled)
• Product images (one or more image URLs)
• Product variants (size, color, options) if available
• Availability / stock status
• Seller information when available

Example item (illustrative):

{
  "url": "https://www.walmart.com/ip/XXXXXXXX",
  "title": "Example Walmart Product",
  "price": "$24.99",
  "currency": "USD",
  "availability": "In stock",
  "images": ["https://i5.walmartimages.com/asr/..."],
  "description": "Full product description...",
  "variants": [],
  "rating": 4.6,
  "review_count": 132,
  "seller_info": { "name": "Walmart", "type": "First-party" }
}

You can:

• Export to JSON, CSV, or Excel
• Access via API
• Filter specific fields for analytics or automation

➡️ Output is clean, structured, and ready for analytics or automation workflows.

Use Cases

• 🛒 Walmart product research
• 📈 Competitor analysis
• 💰 Price monitoring
• 📊 Market research
• 🚀 Dropshipping product discovery
• 🤖 AI & data pipelines
• 📦 Inventory monitoring

Integrations & API

• Use as an API via Apify
• Integrate with Python & Node.js
• Connect with Zapier, Make, Google Sheets
• Automate workflows using webhooks
• Schedule recurring scraping tasks

Why Choose This Actor?

• Fast and scalable Walmart scraping
• Extracts product data, prices, and reviews
• No official Walmart API required
• Clean structured data for analytics and automation
• Built for serious eCommerce and research workflows

FAQ

How does Free Walmart Product Scraper work?

It extracts publicly available product data from Walmart listings by visiting product URLs, parsing the page structure, and converting the data into structured dataset items.

Can I scrape multiple Walmart products at once?

Yes. You can input multiple product URLs in productUrls and the actor will process them in a single run (subject to maxItems).

Does it require Walmart API?

No. It works independently without using Walmart’s official API.

Can I extract reviews and ratings?

Yes. When scrapeReviews is enabled, review and rating data is included where available.

Is the data accurate?

Yes. Data is extracted in real time from Walmart at the time of scraping.

Can I automate scraping?

Yes. Use the Apify API, scheduling, and integrations (Zapier, Make, etc.) to automate runs.

What formats are supported?

JSON, CSV, Excel via Apify dataset export, plus API output for programmatic access.

Can I use this Walmart scraper for AI or machine learning projects?

Yes. Structured product and review data is ideal for AI training, analytics, and automation workflows.

How can I find profitable products on Walmart?

By analyzing pricing, discounts, reviews, ratings, and competition across scraped products.

Does this scraper support price tracking?

Yes. You can schedule periodic runs to monitor price changes over time.

Can I scrape Walmart without getting blocked?

Yes. The scraper uses Apify’s infrastructure and can be combined with proxies for more stable performance; still, you should respect Walmart’s terms and robots policies.

Can I connect this scraper to Google Sheets?

Yes. You can export datasets or use integrations to feed data directly into Google Sheets and other tools.

Can I use this for competitor analysis?

Yes. Track competitor products, pricing, and reviews across Walmart listings.

Does it extract all product images?

Yes. All available product images are included where possible.

Is this useful for dropshipping businesses?

Yes. It is widely used for dropshipping product research and catalog building.

Can I customize output?

Yes. You can filter and select fields or post-process the dataset according to your needs.

Is scraping Walmart legal?

Scraping publicly available data is generally allowed, but you should follow Walmart’s terms of service and applicable laws.

Can I monitor product availability?

Yes. Stock status and availability are included in the extracted data where available.

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Actor permissions

This Actor is designed to work with limited permissions. It only reads input and writes to its default dataset; it does not access other user data or require full account access.

To set limited permissions in Apify Console:

1. Open your Actor on the Apify platform.
2. Go to the Source tab (or Settings).
3. Click Review permissions (or open Settings → Permissions).
4. Select Limited permissions and save.

Using limited permissions improves trust and can improve your Actor's quality score in the Store.

Limitations

• Walmart’s site structure may change, requiring updates to the scraper.
• Some seller or review data may not be available for all products.
• Large-scale or very frequent scraping may require higher Apify resource limits and careful proxy usage.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Get Started

Start extracting Walmart product data and automate your eCommerce workflows today. 🚀