Extract product list from any e-commerce category page, search results page, or keyword search with filters. Returns paginated product arrays with URL, name,...
Security Analysis
high confidenceThis skill appears to scrape public e-commerce listing pages and has no evidence of hidden exfiltration, credential use, or destructive behavior.
The core behavior matches the stated purpose: browser-based extraction of product listing data and pagination from public pages. The description overstates reliability and breadth for filters and named platforms, but this is a capability/quality issue rather than a security mismatch.
The trigger language is broad and could activate for general product-search requests, but the runtime instructions keep the workflow tied to user-directed browsing of public listing/search pages.
Artifacts are limited to SKILL.md and two small Python scripts that print JavaScript for browser DOM evaluation. There is no install script, package manager action, credential setup, or background service.
Browser DOM reading and navigation are proportionate for public product listing extraction. The scripts do not independently make network calls or read local secrets.
The skill documents reading and appending a local memory file under the working directory for execution notes. This is persistent local state and should be clearer to users, but the described contents are limited to troubleshooting notes, not sensitive data.
Guidance
Install only if you want an agent to browse public e-commerce listing pages and extract visible product data. Expect uneven results across sites and filters, and be aware it may keep a small local memory file of scraping issues in the working directory.
Latest Release
v1.0.0
ecommerce-listing-skill 1.0.0 — Initial release - Extracts structured, paginated product lists (URL, name, price, currency, image, rating, review count) from any public e-commerce category or search results page. - Supports input via direct URL, keyword search, or site-scoped search with filters (price range, brand, category, min rating, in-stock, sort order). - Works with Amazon, eBay, Walmart, Google Shopping, Shopify collections, WooCommerce, and most public product listing pages. - Automated pagination handles next-page URLs and load-more buttons. - All progress updates and messages follow the user's language settings. - Includes error handling, memory of past issues, and uptime/resumption strategies.
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Published by @browseract-cli on ClawHub
