
Extract detailed Walmart product data using product SKUs, including price, SKU, brand, rating, nutrition information, and product variants. Ideal for product validation, product mapping, and structured product management. Supports structured data export.
The Walmart Product Scraper lets you extract structured product data from Walmart in bulk using SKUs. Just enter one or more product SKUs, and the scraper will automatically collect the core product fields for each item. You can export the results in CSV or JSON format and use them for product identification, SKU-level monitoring, and operational analysis.
Compared with manually searching product pages, this scraper makes it much faster to locate target products by SKU and convert 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 Scraper is designed to be simple to use, so you can start extracting data quickly even without prior scraping experience.
Enter the Walmart product SKU you want to scrape. This version is best for cases where you already know the SKU and need a fast, reliable way to locate the target product and extract structured product details.
Supported input parameters:
sku: The Walmart product SKU to scrape.all_variations: Whether to extract all available product variants.Recommended inputs: Known Walmart SKUs, SKUs used for internal product mapping, target SKUs you want to monitor over time Not recommended: Product titles, category URLs, search keywords, or invalid SKU values
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. Below is an example of SKU-based output:
The Walmart Product Scraper automatically accesses Walmart product result pages or product detail pages and converts unstructured content into structured CSV and JSON output. You only need to provide the SKU and related parameters, and the scraper handles the collection process for you.
The scraper can typically return product URLs, prices, SKUs, currency, GTINs, UPCs, brands, reviews, descriptions, product names, categories, images, ratings, sizes, colors, seller information, nutrition facts, product variants, videos, and other related fields. Exact fields may vary depending on the product type and page content.
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.
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. 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.
Publicly available product data is commonly used for research, analytics, and business intelligence. That said, users should still comply with local data privacy regulations and review the target website’s terms of service and compliance requirements.
Explore more popular scrapers from our marketplace
by CoreClaw
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.
by CoreClaw
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.
by CoreClaw
Extract detailed product data from Walmart, including prices, SKUs, brands, ratings, reviews, seller information, nutrition facts, and product variants. Ideal for product research, price monitoring, and competitor analysis. Supports structured exports, API access, and third-party integrations.