Agent skill

Goofish Search List

by browser-act in browser-act/skills

Scrapes second-hand item search results from Goofish (闲鱼/xianyu, goofish.com) — China's largest second-hand marketplace.

MITAuto-check passedData & Analytics

Install Goofish Search List

skills CLI
$ npx skills add browser-act/skills --skill goofish-search-list -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install browser-act/skills goofish-search-list --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/browser-act/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/solutions/ecommerce/goofish-search-list .claude/skills/goofish-search-list && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
goofish-search-list
GitHub stars
6.1k
Token cost
~2k tokens
SKILL.md length
845 words
Files
4 (incl. scripts)
Skills in repo
87
Repo updated
First seen
Licence
MIT

At a glance

Scrapes second-hand item search results from Goofish (闲鱼/xianyu, goofish.com) — China's largest second-hand marketplace.

  • Works in 2 steps: Tool Readiness → Login Verification
  • User mentions goofish
  • SKILL.md covers Language, Objective, Prerequisites and Pre-execution Checks, plus 7 more sections
  • Runs Python scripts from its folder; calls python; reaches goofish.com and img.alicdn.com

What it does

Goofish Search List is an agent skill from browser-act/skills. 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…

Its SKILL.md is about 2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including scripts (for example `scripts/apply-search-filters.py`, `scripts/extract-search-items.py` and `scripts/goto-page.py`).

It sits in Data & Analytics, covering Web scraping. It works with Python. The repository describes itself as: Browser automation CLI built for AI agents. Break through anti-bot walls, hand off to humans across platforms when stuck. Parallel multi-task execution, independent multi-session… The licence is MIT.

When your agent uses it

  • User mentions goofish
  • Second-hand marketplace China
  • Search used goods
  • Scrape goofish listings

Example prompts

  • “Use the goofish-search-list skill to scrape second-hand item search results from Goofish (闲鱼/xianyu, goofish.com) — China's largest second-hand…”
  • “/goofish-search-list”

Requirements

  • Python 3

Workflow steps

2 steps, taken from the step headings in SKILL.md.

  1. Tool Readiness
  2. Login Verification

What it can do on your machine

Read from SKILL.md and the folder at commit 11c057b. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 3 files in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • python

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • goofish.com
    • img.alicdn.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Goofish Search List loads about 2k tokens when it runs. Until then it costs about 188 tokens; SKILL.md has 845 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~188
When it runs · the whole SKILL.md, loaded when a task matches
~2k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from browser-act/skills at commit 11c057b, republished under its MIT licence (© browser-act). 845 words, ~2,050 tokens.

Download SKILL.mdSave it as .claude/skills/goofish-search-list/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.
name
goofish-search-list
description
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 applies to: price research on Chinese second-hand market, competitor product monitoring via used goods listings, inventory analysis.

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 → not logged in; inform user that login may be required for full results; assist login if needed

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})". $(...) is bash syntax; it is recommended to use the bash tool for execution.

Network Capture: trigger search and load results

Search requests use a dynamic sign token computed client-side — they cannot be reconstructed directly. Navigate to the search URL to trigger the API automatically.

  1. navigate https://www.goofish.com/search?q={keyword}
  2. wait stable
  3. Proceed to DOM extraction below

Error handling: If the page shows a CAPTCHA slider ("Please slide to verify") instead of search results, the session has been rate-limited. Wait 5–10 minutes before retrying, or switch to a fresh browser session.

DOM: search result item cards (data extraction)

After navigating and waiting stable, extract all 30 item cards on the current page:

eval "$(python scripts/extract-search-items.py)"

Output example:

json
{
  "items": [
    {
      "item_id": "1054668718340",        // unique item ID
      "category_id": "126862528",        // category ID
      "item_url": "https://www.goofish.com/item?id=1054668718340&categoryId=126862528",
      "title": "美版iPhone 14 国行256G 纯原 原版原漆",  // full title text
      "image_url": "https://img.alicdn.com/bao/uploaded/...",  // thumbnail URL
      "price": "1810",                   // numeric string, CNY, no ¥ sign
      "service_tag": "Apple/苹果256GB无任何维修",  // condition/attribute tag or recency label, null if absent
      "price_desc": "2人想要",           // want-count or price-drop info, null if absent
      "location": "广东"                 // seller's location province/city
    }
  ],
  "count": 30
}
DOM: apply sort and filter options (operation)

Apply sort order, publish-date filter, or price range before extracting. Call before running extract-search-items.py. After calling, wait stable before extracting.

eval "$(python scripts/apply-search-filters.py --sort {sort} --publish-days {days} --price-min {min} --price-max {max})"

Parameters:

  • --sort: Sort option — "" default (综合), "reduce" price-drop (新降价), "create" newest (新发布), "price-asc" price low-to-high, "price-desc" price high-to-low. Default: ""
  • --publish-days: Filter by publish date — "" all, "1" within 1 day, "3" within 3 days, "7" within 7 days, "14" within 14 days. Default: ""
  • --price-min: Minimum price (CNY integer string, e.g., "500"). Requires --price-max. Default: ""
  • --price-max: Maximum price (CNY integer string, e.g., "3000"). Requires --price-min. Default: ""

Output example:

json
{
  "ok": true,
  "applied": {
    "sort": "reduce:desc",
    "searchFilter": "publishDays:7;priceRange:500,3000;"
  }
}
DOM: navigate to a specific page (operation)

eval "$(python scripts/goto-page.py {page_number})"

Parameters:

  • page_number: Target page number (integer, 1-based)

Output example:

json
{ "ok": true, "clicked_page": 2 }

After clicking, wait stable then re-run extract-search-items.py to get the new page's items.

Enum Parameters

[AI] sort options: "" (综合/default), "reduce" (新降价), "create" (新发布/最新), "price-asc" (价格从低到高), "price-desc" (价格从高到低)

[AI] publish-days filter: "" (all), "1", "3", "7", "14"

Show full SKILL.md (352 more words)Show less

Pagination

DOM Pagination: Click the target page number button using goto-page.py {page}, then wait stable, then re-run extract-search-items.py. Page numbers appear in the pagination bar at the bottom of the search results.

Termination: When goto-page.py returns error: Page N not found — no more pages available, or the target page exceeds the pagination range displayed (typically up to 25 pages / 750 items).

Success Criteria

result count >= 1 and item_id non-null rate = 100% and price non-null rate >= 80%

Known Limitations

  • 30 items per page (fixed by the site)
  • Maximum ~750 items accessible via pagination (25 pages × 30)
  • Seller username and user ID are not available in search cards — only seller location
  • Session rate limiting: accessing item detail pages rapidly after heavy search usage may trigger a CAPTCHA slider; mitigate by adding 1–2 second delays between page navigations
  • The sign token in search API requests is computed client-side; direct API replay without browser context is not supported — always trigger via page navigation

Execution Efficiency

  • Batch orchestration: Write a bash script to loop through keywords serially within a single session; do not parallelize within one browser (prone to triggering anti-scraping). Add 1–2 second delays between page navigations. To increase throughput, open multiple stealth browser sessions and distribute keywords across them
  • Test before batch execution: After writing a batch script, first test with 1–2 keywords/pages to verify the script runs correctly; only then run the full batch
  • Reduce redundant pre-operations: Navigate once per keyword, apply all filters at once before extracting, rather than navigating multiple times
  • Error resumption: Save results keyword-by-keyword and page-by-page during batch processing; on failure, resume from the last saved position

Experience Notes

Path: {working-directory}/browser-act-skill-forge-memories/xianyu-scraper-goofish-search-list.memory.md

Before execution: If the file exists, read it first — it records unexpected situations encountered during past executions (e.g., a strategy has become ineffective); adjust strategy order accordingly.

After execution: If an unexpected situation is encountered (strategy became ineffective, page redesigned, anti-scraping upgraded, better path discovered), append a line: {YYYY-MM-DD}: {what happened} → {conclusion}

Normal execution does not write to the file. Do not record what keywords were used or how many results were returned — those are task outputs, not experience.

© browser-act, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 3 other files (scripts) in solutions/ecommerce/goofish-search-list of browser-act/skills.

  • SKILL.md
  • scripts/apply-search-filters.py
  • scripts/extract-search-items.py
  • scripts/goto-page.py

Open the folder on GitHubat commit 11c057b

Compare with similar skills

Goofish Search List next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Goofish Search List compared with similar skills
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Boss Zhipin Scrapereatmoreduck/boss-zhipin-scraper1.5k—~2.6kAutomated safety check: PassMIT
Axyusukebe/ax7191 repos~918Automated safety check: PassMIT
Google Maps ScraperMahanaicoach/google-maps-scraper-kit1.3k—~2.8kAutomated safety check: PassMIT
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Works with

Questions about Goofish Search List

What does Goofish Search List do?

Scrapes second-hand item search results from Goofish (闲鱼/xianyu, goofish.com) — China's largest second-hand marketplace. Goofish Search List is an agent skill from browser-act/skills.com) — China's largest second-hand marketplace.

When should I use Goofish Search List?

Goofish Search List fits situations like: user mentions goofish; second-hand marketplace China; search used goods; scrape goofish listings.

How do I install Goofish Search List in Claude Code?

Run `npx skills add browser-act/skills --skill goofish-search-list -a claude-code`. Or copy the skill folder (solutions/ecommerce/goofish-search-list in browser-act/skills) into .claude/skills/goofish-search-list in your project. Claude Code loads it when a task matches its description.

How do I install Goofish Search List in Codex?

Run `npx skills add browser-act/skills --skill goofish-search-list -a codex`. Or copy the skill folder (solutions/ecommerce/goofish-search-list in browser-act/skills) into .agents/skills/goofish-search-list in your project. Codex loads it when a task matches its description.

Can I use Goofish Search List in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add browser-act/skills --skill goofish-search-list -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/goofish-search-list, .gemini/skills/goofish-search-list, .github/skills/goofish-search-list and .opencode/skills/goofish-search-list in your project.

What does Goofish Search List need to run?

Going by SKILL.md and its folder, Goofish Search List needs Python for the scripts in its folder and the command-line tools its instructions call (python). Our summary lists: Python 3.

Does Goofish Search List access the network?

SKILL.md names 2 domains. In commands or code: goofish.com and img.alicdn.com; the agent is likely to contact these when it follows the instructions. This is read from the text; nothing was executed.

Is Goofish Search List safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Goofish Search List use?

Goofish Search List is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Goofish Search List use?

About 2k tokens (SKILL.md is roughly 8.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Goofish Search List?

Skills that share tags, products or a category with Goofish Search List: Crawl4AI Web Scraping (smallnest/goclaw, 599 stars), Boss Zhipin Scraper (eatmoreduck/boss-zhipin-scraper, 1.5k stars), Ax (yusukebe/ax, 719 stars) and Google Maps Scraper (Mahanaicoach/google-maps-scraper-kit, 1.3k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Goofish Search List?

browser-act (a GitHub organization) maintains it in browser-act/skills, which has 6,122 GitHub stars. The repository holds 87 skills in this directory. The repository was last updated on August 24, 2026.

Source: browser-act/skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.