Agent skill

etsy-category-listing

Etsy category page scraper: given an Etsy category URL (e.g. https://www.etsy.com/c/jewelry) and optional page number, returns paginated product listings with listingId, shopId, title, url, image, salePrice, originalPrice, currency, rating, reviewCount, shopName, isAd, freeShipping, badge from category and subcategory pages. Use when user mentions Etsy category, Etsy c/ URL, etsy.com category, browse Etsy categories, scrape Etsy category, Etsy category listing, extract Etsy category products, Etsy subcategory, Etsy jewelry, Etsy clothing, Etsy home decor, Etsy wedding, Etsy accessories, Etsy c

browser-actgithub.com/browser-actGitHub ↗
claude-codecodexcursorships scriptsMIT
Install
npx skills add browser-act/skills --skill etsy-category-listing --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 8 KB
Bundled scripts: yes
Path: solutions/ecommerce/etsy-category-listing/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 5,160
Language: Python
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Etsy — Category Listing > Input an Etsy category URL (and optional page number) → output paginated product listings from that category page. ## Language All process output to user (progress updates, process notifications) follows the user's language. ## Objective Collect product listings from Etsy public category (`/c/...`) pages, one page at a time, with core fields per item. ## Prerequisites - Target page is already open in the browser: `https://www.etsy.com/c/{category-path}` (or navigate to it during execution) - No login required — category pages are public - Browser session must survive anti-bot verification (DataDome). Best practice: navigate to `https://www.etsy.com/` first, then to the category URL, within an established stealth browser session ## 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. ### 2. Anti-bot Warm-up If a fresh browser session was just created, before hitting a `/c/` URL directly: 1. `navigate https://www.etsy.com/` → `wait stable` 2. T

What's inside
Steps it walks through
  1. Language
  2. Objective
  3. Prerequisites
  4. Pre-execution Checks
  5. 1. Tool Readiness
  6. 2. Anti-bot Warm-up
  7. Capability Components
  8. DOM: extract product listings from category page
  9. Pagination
  10. Success Criteria
  11. Known Limitations
  12. Execution Efficiency
  13. Experience Notes
Ships with 1 file
  • scripts/extract-listings.py
More from skills
All skills →
About this skill
What does the etsy-category-listing skill do?

Etsy category page scraper: given an Etsy category URL (e.g. https://www.etsy.com/c/jewelry) and optional page number, returns paginated product listings with listingId, shopId, title, url, image, salePrice, originalPrice, currency, rating, reviewCount, shopName, isAd, freeShipping, badge from category and subcategory pages. Use when user mentions Etsy category, Etsy c/ URL, etsy.com category, browse Etsy categories, scrape Etsy category, Etsy category listing, extract Etsy category products, Etsy subcategory, Etsy jewelry, Etsy clothing, Etsy home decor, Etsy wedding, Etsy accessories, Etsy c

How do I install it?

Run `npx skills add browser-act/skills --skill etsy-category-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.

Keep going