AI-Powered Web Scraping

One-click Walmart Scraper for product research

Open any Walmart search or product page and click once. Thunderbit's AI agent proposes the fields it finds — prices, sellers, ratings, delivery — and follows each product link on its own. No selectors, no setup, nothing to learn before your first table.

Need more ways to scrape at scale?

A quick playground: Try it yourself.

From Walmart search to a usable table

Start with the page you already browse and let the agent handle the repetitive work.

Start without setup

Open a Walmart search, category, or product page and run One Click Extract. Thunderbit recommends the data types that fit the page, and you can adjust them in plain English.

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Keep every offer organized

Prices, sellers, ratings, delivery options, and product links land in separate columns. Conditional values stay blank, so the table is ready to filter without a cleanup project.

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Move through long result lists

Let Thunderbit continue across Walmart result pages and collect the products it finds. You get one continuous dataset instead of a stack of copied browser tabs.

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Walmart research without the browser-tab marathon

Replace repetitive copying with one AI agent run.

Manual product research

Slow to build and hard to repeat
Copy each product card
Open seller details by hand
Clean prices after pasting
Repeat for every result page
One Click Extract

Thunderbit Agent Mode

A clean table from the pages you choose
Recommended data types
Linked product details
Consistent price columns
Automatic result-page progress

What to put in a Walmart assortment table

Pick up to 30 visible details, from offer and seller context to delivery and store availability.

  • Product Name
  • Product URL
  • Primary Image URL
  • Brand
  • Category
  • Current Price
  • Original Price
  • Unit Price
  • Savings Amount
  • Rollback Badge
  • Sponsored Badge
  • Star Rating
  • Review Count
  • Seller Name
  • Sold and Shipped By
  • Availability
  • Shipping Cost
  • Delivery Estimate
  • Pickup Availability
  • Selected Store
  • Variant Name
  • Size
  • Color
  • Pack Quantity
  • Walmart Product ID
  • Model Number
  • Short Description
  • Key Features
  • Return Information
  • Captured At

See why users choose Thunderbit

Watch customers explain how Thunderbit turns product pages into structured data they can review, share, and reuse.

Questions about scraping Walmart

What to expect when turning visible Walmart pages into structured data.

Add competitor shelves to the same workbook

Pair the Walmart assortment with Amazon marketplaces, Target fulfillment, Costco packs, or Best Buy electronics.

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