
Job Search: 25,500+ career sites
io.github.richiedc95由 GitHub 帳號 richiedc95 發布v1.0.0更新於 Nov 6, 2026
Newest jobs from 25,500+ company career sites: Greenhouse, Lever, Workday and more.
概覽
在 25,500 多個公司招募網站上搜尋職缺,以精簡 JSON 回傳最新符合的職缺,含薪資、遠端狀態與應徵連結。
- 可以做什麼
- 以自然語言查詢搜尋職缺,關鍵字順序不拘,可用逗號分隔多個替代詞
- 依地點、僅遠端、刊登時間、資歷、最低薪資、是否提供簽證贊助及指定公司篩選結果
- 限制回傳筆數與每家公司筆數,並可選擇附上純文字職缺描述
- 每筆職缺回傳職稱、公司、地點、工作型態、資歷、薪資區間、刊登日期、來源與雇主的應徵連結
- 適用情境
- 適合需要直接從雇主自家招募網站取得最新職缺的情況,例如尋找本週刊登的遠端資深職缺、比較指定公司的薪資,或篩選提供簽證贊助的職缺。
- 執行需求
- 使用 mcp.apify.com 上的託管遠端 MCP 端點並選取此職缺搜尋工具,無需安裝。需要 Apify 帳號,並透過 OAuth 登入或在 Authorization 標頭提供 Apify API 權杖。依結果計費。
安裝
在 SourceWeft 中
- 開啟 儀表板中的 Job Search: 25,500+ career sites,將其新增到工作區。
- 連接 所需的 憑證。它們會被私密儲存,絕不會在公開頁面上展示。
- 為需要使用其工具的對話啟用該服務。
Web executable,透過 Streamable HTTP。 遠端服務在工作區中設定後即可從網頁執行環境執行。
交給代理程式安裝
把這段提示詞貼上到 Claude Code、Codex、Cursor 等代理程式,或 SourceWeft 對話中。代理程式會讀取該伺服器的安裝指南,先向你展示發布者、端點和登入方式,經你同意後再把它新增到你的客戶端。金鑰不會寫進任何命令。
閱讀 https://sourceweft.com/mcp/io.github.richiedc95%2Fjob-search/install.md,並按其中說明把這個 MCP 伺服器接入我的客戶端。修改任何設定之前,先告訴我它的發布者、端點和登入方式,等我確認。不要把 API 金鑰寫進命令或我會提交的檔案;問我金鑰應從哪裡取得。其他 MCP 客戶端
把它新增到你客戶端的 mcpServers 設定中。 客戶端會在首次連接時完成 OAuth 登入。
{
"mcpServers": {
"job-search-25-500-career-sites": {
"type": "http",
"url": "https://mcp.apify.com/?tools=richiedc95/job-search-api"
}
}
}README
Job Search MCP: newest jobs from 25,500+ company career sites
An MCP tool that lets Claude, ChatGPT, Cursor, VS Code and any AI agent search open jobs straight from employers' own career sites: Greenhouse, Lever, Ashby, Workday, SmartRecruiters, Workable, Recruitee, Personio, Teamtailor, BambooHR, Breezy, Rippling, Oracle, Pinpoint and Jobvite.
One plain-language query in ("remote senior python developer in Berlin"), the newest matching jobs out, as compact JSON with the salary, remote status, seniority, posting date and the employer's apply link.
It is hosted: nothing to install or run. The tool is the Job Search API for AI Agents Actor on Apify, served through Apify's MCP server.
Connect in 30 seconds
Remote MCP URL (sign in with your Apify account when your client asks):
Claude Code
Cursor, Claude Desktop, VS Code and other JSON configs (with an Apify API token instead of OAuth):
Get a token in Apify Console under Settings → API & Integrations.
Ask your agent
- "Find remote senior data engineer jobs posted this week and list the ones that publish a salary."
- "Which companies are hiring product designers in London right now?"
- "Find 10 junior frontend developer jobs in Germany that sponsor visas."
- "Compare salaries of the newest staff engineer openings at Stripe, Airbnb and Datadog."
Tool input
Output
One record per job, newest first:
About 130 tokens per job, so 20 results fit easily in any context window.
Use it without MCP
It is also a plain HTTP API. One call runs the search and returns the jobs:
Python:
How it works
- A directory of 25,500+ companies and their job boards is built from public sources and refreshed regularly.
- Every job title of every company is indexed daily, so a search checks all of them in memory in seconds.
- Companies are visited newest matching posting first, and every matching job is fetched live from the employer's career site, so closed jobs are not returned.
- Only public job board endpoints that companies publish for anyone: no login, no personal data, no LinkedIn or Indeed scraping.
A typical 20-job search takes about 10 seconds.
Pricing
Pay per result on Apify: $4 per 1,000 jobs plus about $0.01 per GB of memory when a run starts, so a 20-job search costs about $0.10. There is no subscription to this tool, and maxResults caps every call.
More tools from the same data
- Job Search Scraper: 25,500+ Company Career Sites: every filter and full job records, for bulk exports and job boards.
- Career Site Jobs Scraper: all jobs from the companies you choose.
- Greenhouse, Lever, Ashby, Workday and SmartRecruiters job scrapers.
Feedback
Found a bug or want a filter? Open an issue here or on the Actor's Issues tab.
License
The documentation and examples in this repository are MIT licensed.
來源:README.md,提交 ff052d9
工具
0版本歷史
1- v1.0.0最新Nov 6, 2026
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已滿足適用檢查項的 85%
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