Agent skill · Data & Analytics

goofish-search-list

Scrapes second-hand item search results from Goofish (闲鱼/xianyu, goofish.com) — China's largest second-hand marketplace. Input: keyword, optional sort/filter params. Output: list of items with id, title, price, image, location, want-count per page (30 items/page). Use when user mentions goofish, 闲鱼, xianyu, 二手交易, second-hand marketplace China, 二手商品搜索, search used goods, scrape goofish listings, xianyu search results, collect second-hand prices, monitor used item prices, 闲鱼关键词搜索, 闲鱼数据采集, 批量抓取闲鱼, goofish scraper, goofish data, xianyu data extraction, 二手商品价格监控, used iPhone prices, 二手手机价格. Also ap

browser-actgithub.com/browser-actGitHub ↗
claude-codecodexcursorships scriptsMIT
Install
npx skills add browser-act/skills --skill goofish-search-list --agent claude-code

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

Facts
Files in the skill folder: 4
SKILL.md size: 8 KB
Bundled scripts: yes
Path: solutions/ecommerce/goofish-search-list/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

# Goofish (闲鱼) — Search Results List > keyword + optional filters → list of 30 second-hand item cards per page (id, title, price, image, location, want-count) ## Language All process output to user (progress updates, process notifications) follows the user's language. ## Objective Extract second-hand item listing cards from Goofish keyword search results, supporting sort options, price range filters, and publish-date filters, with page-by-page pagination. ## Prerequisites - Browser with an active Goofish session (logged-in account recommended for full results) - Target page is already open or will be opened: `https://www.goofish.com/search?q={keyword}` ## 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. Login Verification If login status for Goofish has been confirmed in the current session → skip this step. Otherwise: open `https://www.goofish.com/` and observe the page: - User avatar or account entry exists → logged in, continue - Login/register prompt → no

What's inside
Steps it walks through
  1. Language
  2. Objective
  3. Prerequisites
  4. Pre-execution Checks
  5. 1. Tool Readiness
  6. 2. Login Verification
  7. Capability Components
  8. Network Capture: trigger search and load results
  9. DOM: search result item cards (data extraction)
  10. DOM: apply sort and filter options (operation)
  11. DOM: navigate to a specific page (operation)
  12. Enum Parameters
  13. Pagination
  14. Success Criteria
Ships with 3 files
  • scripts/apply-search-filters.py
  • scripts/extract-search-items.py
  • scripts/goto-page.py
More from skills
All skills →
About this skill
What does the goofish-search-list skill do?

Scrapes second-hand item search results from Goofish (闲鱼/xianyu, goofish.com) — China's largest second-hand marketplace. Input: keyword, optional sort/filter params. Output: list of items with id, title, price, image, location, want-count per page (30 items/page). Use when user mentions goofish, 闲鱼, xianyu, 二手交易, second-hand marketplace China, 二手商品搜索, search used goods, scrape goofish listings, xianyu search results, collect second-hand prices, monitor used item prices, 闲鱼关键词搜索, 闲鱼数据采集, 批量抓取闲鱼, goofish scraper, goofish data, xianyu data extraction, 二手商品价格监控, used iPhone prices, 二手手机价格. Also ap

How do I install it?

Run `npx skills add browser-act/skills --skill goofish-search-list --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.

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