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Mechanism
Breaks down how the skill works and what it produces, so you can quickly judge whether it fits your scenario and value.
When a user wants to search Walmart.com by keyword and extract structured product listings (price, rating, availability, seller). Typical context: "search walmart products", "scrape walmart search results", price comparison or bulk URL collection.
walmart.com/search?q={keyword}&page={page}eval "$(python scripts/extract-listing.py)" to parse __NEXT_DATA__ and output JSON itemsmaxPage or empty; batch loop with delays, test before full runA paginated JSON product list with itemId, url, title, brand, price, rating, reviewCount, availability, seller, etc. Enables price monitoring, ranking tracking, and catalog building on Walmart.
Use Cases
An e-commerce analyst needs to track Walmart prices for 'wireless earbuds' across 10 pages. They invoke the skill with the keyword and page range; the script navigates and extracts itemId, price, rating, and seller for each product. The structured JSON lets them compare Walmart's first-party vs third-party pricing and monitor weekly price changes efficiently without manual copy-paste.
A market researcher wants to build a Walmart catalog for 'yoga mat' by collecting all product URLs and basic info. Using the skill's pagination, they loop through pages capturing title, brand, url, and reviewCount. The output feeds a spreadsheet for demand analysis and competitor sourcing, saving hours of manual browsing and ensuring no duplicate遗漏.
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