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Enter a Walmart product URL to extract product details and related data, including price, SKU, brand, rating, reviews, and more. Ideal for single-product research, price tracking, and product data management. Supports structured export and third-party integrations.
The Walmart Product Data Scraper lets you extract structured product data from Walmart in bulk using product URLs. Just enter one or more product links, and the scraper will automatically collect the core fields for each target item. You can export the results in CSV or JSON format and use them for product research, single-product monitoring, and operational analysis.
Compared with manually opening product pages one by one, this scraper makes it much faster to locate target products by URL and turn Walmart data into structured output for validation, monitoring, and analysis.
| 📝 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 Data Scraper is designed to be simple to use, so you can start extracting data quickly even without prior scraping experience.
Enter the Walmart product URL you want to scrape. This version is best for cases where you already know the product link and need a fast, reliable way to locate the target product and extract structured detail-page data.
Supported input parameters:
url: The Walmart product URL to scrape.all_variations: Whether to extract all available product variants.Recommended inputs: Public product detail page URLs, competitor product URLs, target products you want to monitor over time
Not recommended: Category URLs, search result page URLs, invalid links, or redirect-broken product pages
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 URL version is the most direct choice when you already know the exact Walmart product page you want to scrape. It is especially useful for competitor benchmarking, single-product analysis, product archiving, and ongoing monitoring of priority items.
Yes. The current input setup supports submitting multiple URLs in a single job, so you can scrape several Walmart product detail pages at once.
The keyword version is better for product discovery and broader search-based collection. The URL version is better for precise detail-page extraction when the target products are already known.
Yes. The all_variations parameter controls whether all available variants should be extracted, which is useful for products with multiple sizes, flavors, colors, or packaging options.
In addition to price, SKU, brand, and rating, the current field set can also include rating breakdowns, related page data, seller information, nutrition facts, ingredients, product identifiers, videos, and customer review data.
CSV is ideal for operations, analysis, and market teams working in spreadsheets. JSON is better for engineering teams that want to connect the output to databases, data pipelines, BI tools, or automation systems.
The current tool description indicates that each run pulls the latest publicly available Walmart data rather than relying on cached results, which helps keep the output fresh and aligned with the live site.
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