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Forms
Mechanism
Breaks down how the skill works and what it produces, so you can quickly judge whether it fits your scenario and value.
When the user provides a walmart.com category/browse URL (optionally with filters) and wants to extract paginated product listings from that category.
?page=Neval "$(python scripts/extract-listing.py)" to parse __NEXT_DATA__ for item cardsmaxPage or empty; save results per item; resume on errorStructured JSON per page with itemId, title, brand, price, rating, reviewCount, availability, seller info — for catalog building, price monitoring, or category research on Walmart.
Use Cases
An e-commerce analyst wants to track all laptop SKUs under $1000 on Walmart for a competitive price report. They paste the filtered category URL from browser, and the skill loops pages 1–25 extracting itemId, price, brand, rating per item. Output JSON feeds a BI dashboard, saving 10+ hours of manual copy-paste and enabling daily automated re-runs.
A sourcing manager discovers a trending Walmart subcategory (e.g. brake pads) and needs the full item list with seller and review counts to find suppliers. Using the category URL, the skill enumerates subcategory items across pages, exporting structured data with availability and fulfillment badges. This reveals niche opportunities and informs procurement decisions quickly.
Skill Relationships
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Skill File