What problem does it solve?
Manually copying product information from Walmart item pages is slow and error-prone, especially when you need complete data like specifications, variants, fulfillment options, and review breakdowns across many products.
Core Features & Use Cases
- Full Product Extraction: Pull itemId, title, brand, model, UPC, price, wasPrice, availability, category path, seller info, images, descriptions, specifications, variants, fulfillment options, return policy, and review summary from any walmart.com/ip/ page.
- Structured JSON Output: Data is returned as a clean JSON object parsed from the page's NEXT_DATA, ready for catalogs, price monitoring, or competitive research.
- Batch Processing Guidance: Built-in instructions for serial batch scraping with rate-limit awareness, error resumption, and multi-session distribution.
- Use Case: Given a list of 50 Walmart product URLs, loop through each one to build a product catalog with prices, specs, and stock status saved item by item.
Quick Start
Open a Walmart product page in the browser and ask the agent to extract the full product details from this Walmart item URL.