ecommerce-listing
Extract product list from any e-commerce category page, search results page, or keyword search with filters. Returns paginated product arrays with URL, name, price, currency, image, rating, review count per item. Supports URL input, keyword search, and site-scoped search with filters: price range, brand, category, minimum rating, in-stock only, and sort order. Works on Amazon, eBay, Walmart, Shopify collections, WooCommerce shops, Google Shopping, and any public product listing page. Use when: category listing, product search results, ecommerce search, search for products, filter products by p
npx skills add browser-act/skills --skill ecommerce-listing --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# E-commerce — Product Listing > Category/search URL or keyword + filters → paginated product list (URL, name, price, image, rating per item) ## Language All process output to user (progress updates, process notifications) follows the user's language. ## Objective Extract a structured list of products from any e-commerce category, search results, or keyword search page, with support for price/brand/rating filters and multi-page pagination. ## Prerequisites - Target browser is open and connected - No login required for public listing pages ## Pre-execution Checks ### 1. Tool Readiness If browser-act has been confirmed available in the current session → skip this step. Invoke `browser-act` via Skill tool to load usage. If installation or configuration issues arise, follow its guidance to resolve then retry. ## Capability Components > This Skill's operational boundary = what the user can manually do in their browser. It only reads data already displayed to the user on the page. JS code is encapsulated in Python files under the `scripts/` directory, invoked via `eval "$(python scripts/xxx.py {params})"`. Use the bash tool for execution. ### DOM: Extract product list from current page N
- Language
- Objective
- Prerequisites
- Pre-execution Checks
- 1. Tool Readiness
- Capability Components
- DOM: Extract product list from current page
- DOM: Get next page URL
- Composite: Keyword search with filters → product list
- Pagination
- Success Criteria
- Known Limitations
- Execution Efficiency
- Experience Notes
eval "$(python scripts/extract-listing.py --max-results 20)" eval "$(python scripts/extract-listing-next-page.py)"
What does the ecommerce-listing skill do?
Extract product list from any e-commerce category page, search results page, or keyword search with filters. Returns paginated product arrays with URL, name, price, currency, image, rating, review count per item. Supports URL input, keyword search, and site-scoped search with filters: price range, brand, category, minimum rating, in-stock only, and sort order. Works on Amazon, eBay, Walmart, Shopify collections, WooCommerce shops, Google Shopping, and any public product listing page. Use when: category listing, product search results, ecommerce search, search for products, filter products by p
How do I install it?
Run `npx skills add browser-act/skills --skill ecommerce-listing --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From browser-act/skills, a repository with 5,160 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.