
Our Walmart product scraper extracts key data: URL, price, SKU, currency, GTIN, brand, reviews, description, name, category, image, rating, size, color, seller, nutrition, variants, etc. Supports category scraping; results in structured formats.
The Walmart Product Scraper lets you extract structured product data from Walmart in bulk using category URLs. Just enter one or more category links, and the scraper will automatically collect product listings and core product fields from those category pages. You can export the results in CSV or JSON format and use them for market research, category analysis, and shelf monitoring.
Compared with manually paging through category pages, this scraper makes it much faster to collect Walmart category data at scale and convert it into structured output for market scanning and product discovery.
| 📝 Product name | 🔗 Product URL, product ID |
| 💲 Price, currency | 🏷️ SKU, GTIN, UPC |
| 🌐 Brand | 📂 Category, category URL, category ID |
| ⭐ Rating, rating breakdown | 💬 Review count, review tags, review content |
| 🖼️ Product images, videos | 📝 Product description, short description |
| 🎨 Size, color, specifications | 🛍️ Seller information, offer details |
| 🥗 Nutrition information, ingredients | 🔀 Product variants, other identifiers |
The Walmart Product Scraper is designed to be simple to use, so you can start extracting data quickly even without prior scraping experience.
Enter the Walmart category URL you want to scrape. This version is best for discovering products in bulk within a category, tracking assortment changes, and analyzing category structure over time.
Supported input parameters:
category_url: The Walmart category URL to scrape.page_turning: The number of pages to scrape for broader category coverage.all_variations: Whether to extract all available product variants from products in that category.Recommended inputs: Food category URLs, electronics category URLs, baby product category URLs, household or cleaning category URLs
Not recommended: Single product detail page URLs, search result page URLs, or invalid category links
When the run is complete, the collected Walmart data is organized under the Output tab as a structured dataset. For easier review, results are displayed in tables and tabs, and can be downloaded in CSV or JSON format.
The Walmart Product Scraper automatically visits Walmart category pages and converts unstructured page content into structured CSV and JSON output. You only need to provide a category URL and related parameters, and the scraper handles the collection process for you.
No. The Walmart Product Scraper is a no-code solution built for both technical and non-technical users. You can configure tasks, run jobs, and download results through a simple graphical interface.
Yes. In addition to the visual dashboard, the scraper can also be integrated into API-based workflows, making it easier for developers to connect collection jobs to internal systems, data pipelines, or automation tasks.
Yes. Each run collects the latest publicly available Walmart data rather than relying on cached results, which helps keep the output fresh and useful.
Yes. You can use the page_turning parameter to define how many pages to scrape, which helps expand category coverage.
Yes. You can use the all_variations parameter to control whether all product variants should be extracted. This is especially useful for products with multiple sizes, colors, or packaging options.
The output can be exported in structured formats such as CSV and JSON, making it easy to use in spreadsheets, BI tools, databases, and internal systems.
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