Scrape Walmart product listings via Chrome and parse __NEXT_DATA__ JSON.
npx skills add https://github.com/AgentComputerAI/torch --skill walmart
Please help me install this Agent Skill. Skill: walmart Source: https://github.com/AgentComputerAI/torch/tree/main/skills/sites/walmart Command: npx skills add https://github.com/AgentComputerAI/torch --skill walmart
Walmart blocks traditional HTTP requests with bot management, making it difficult to retrieve product information reliably.
Ask the skill to scrape Walmart search results for a given query and return a JSON list of product details.
High-intent search queries and answers about installing and using this skill.
Scraping Walmart product data across paginated search results involves parsing the embedded __NEXT_DATA__ JSON. The process normalizes fields like id, name, and price, handling up to 25 pages with deduplication.
Yes, Walmart scraping works with Next.js embedded data by parsing the __NEXT_DATA__ JSON directly from the page source. This yields structured product fields including id, name, price, rating, image, and URL.
To connect Chrome for scraping Walmart listings, you need a real Chrome instance running with remote debugging enabled on port 9222 at 127.0.0.1. This bypasses traditional HTTP request blocks.
You can extract Walmart search results across up to 25 pages. The scraping method handles pagination automatically, deduplicates items, and respects rate limits for safe catalog extraction.
HTTP requests fail extracting Walmart product prices because Walmart deploys bot management to block them. Using a real Chrome instance bypasses these protections, allowing successful data retrieval.
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