Google Jobs Scraper

io.github.RalfIJ由 GitHub 账号 RalfIJ 发布v1.0.0更新于 Nov 1, 2026

Google Jobs listings with parsed salaries and direct apply links, more than 10 per search.

已验证Streamable HTTP可网页运行效率与工作流网页搜索与抓取

概览

AI 生成的概览

托管在 Apify 上的 MCP 服务器,让助手搜索 Google Jobs 职位,返回解析后的薪资和直接申请链接。

可以做什么
  • 按职位、地点和国家搜索 Google Jobs 招聘信息,每次搜索可返回 10 条以上结果。
  • 读取每条职位的标题、公司、地点、发布日期、工作类型、描述、要点和标签。
  • 获取薪资文本,以及单独的最小值、最大值、币种和周期字段。
  • 收集指向 LinkedIn、Indeed 和公司招聘网站的直接申请链接,而非 Google 跳转链接。
适用场景
适合让助手查询招聘信息、比较同一职位在不同城市的薪资,或持续跟踪新发布的职位,而无需自行搭建抓取程序。
运行要求
远程 MCP 端点 mcp.apify.com,无需本地安装。需要 Apify 账户并通过 OAuth 登录,或以 Authorization 请求头提供 Apify API 令牌。运行费用计入该 Apify 账户。
安装前请注意
运行按职位计费并计入你的 Apify 账户,搜索会消耗额度。Authorization 请求头中携带 Apify API 令牌。结果来自抓取 Google Jobs,该服务并非在所有国家可用,且底层抓取工具由作者本人开发。

安装

在 SourceWeft 中

  1. 打开 控制台中的 Google Jobs Scraper,将其添加到工作区。
  2. 连接 所需的 凭据。它们会被私密存储,绝不会在公开页面上展示。
  3. 为需要使用其工具的对话启用该服务。

Web executable,通过 Streamable HTTP。 远程服务在工作区中配置后即可从网页运行时运行。

交给智能体安装

把这段提示词粘贴到 Claude Code、Codex、Cursor 等智能体,或 SourceWeft 对话中。智能体会读取该服务器的安装指南,先向你展示发布者、端点和登录方式,经你同意后再把它添加到你的客户端。密钥不会写进任何命令。

阅读 https://sourceweft.com/mcp/io.github.RalfIJ%2Fgoogle-jobs/install.md,并按其中说明把这个 MCP 服务器接入我的客户端。修改任何配置之前,先告诉我它的发布者、端点和登录方式,等我确认。不要把 API 密钥写进命令或我会提交的文件;问我密钥应从哪里获取。

查看智能体所依据的安装指南

其他 MCP 客户端

把它添加到你客户端的 mcpServers 配置中。 客户端会在首次连接时完成 OAuth 登录。

{
  "mcpServers": {
    "google-jobs-scraper": {
      "type": "http",
      "url": "https://mcp.apify.com/?tools=ralfij/google-jobs-scraper"
    }
  }
}

README

Google Jobs API for Python

Get job listings from Google Jobs into Python: title, company, location, salary as numbers, posting date, job type, the full description and direct apply links (LinkedIn, Indeed, company career sites). Google Jobs collects postings from hundreds of job boards, so one search covers a large part of the market.

Google doesn't offer an API for Google Jobs results. These examples use a hosted scraper instead, the Google Jobs Scraper on Apify, through the official Python client.

[Data analyst salaries in six US cities]

Example output: data analyst salaries in six US cities, from postings on Google Jobs in September and October 2026 (14 to 20 posted salaries per city, so treat it as a rough picture). Made with examples/salary_report.py.

Quick start

  1. Create a free Apify account. The free plan includes $5 of credit every month, which covers more than 1,000 jobs. No credit card needed.
  2. Copy your API token from Settings > API & Integrations in Apify Console.
  3. Run an example:
bash
pip install -r requirements.txtexport APIFY_TOKEN=your-token        # Windows: set APIFY_TOKEN=your-tokenpython examples/search_jobs.py
Data Analyst - Business Intelligence           DRW                        100K–130K a yearProgram Analyst (Data Analytics) - Federal Ac  GSA                        108,173–172,980 a yearEarly Careers - Enterprise Data Analyst Inter  Health Care Service Corpo  19.13–34.17 an hourData Analyst, Marketing Hybrid                 Rewards Network Establish  80K–95K a year...40 jobs foundSaved jobs.csv

Examples

FileWhat it does
examples/search_jobs.pyOne search, printed as a table and saved as CSV with salaries and apply links
examples/salary_report.pySalaries for one role in several cities, with the chart above
examples/new_jobs_alert.pyOnly the jobs you haven't seen yet, optionally posted to Slack. Run it every morning.

sample-output/data-analyst-chicago-2026-10.csv shows the CSV from search_jobs.py.

What you get per job

  • title, companyName, location, via (the site Google found the posting on)
  • postedAt ("3 days ago") and postedDate (2026-10-07)
  • scheduleType, such as "Full-time", "Part-time", "Contractor" or "Full-time and Part-time"
  • salary as Google shows it ("65K–70K a year"), plus salaryMin, salaryMax, salaryCurrency and salaryPeriod as separate values
  • applyOptions: every place to apply, with direct URLs instead of Google redirects
  • description and highlights (qualifications, benefits, responsibilities)
  • tags such as "Health insurance" or "No Degree Mentioned"
  • jobId, to recognize the same job in later runs

Why Google Jobs is tricky to scrape

  • Google Search mostly needs JavaScript now. Plain HTTP requests get a captcha or an "enable JavaScript" page, so you need a way around that first.
  • One search shows about 10 jobs, with no next page. The scraper widens each search with recent date windows and common refinements (remote, full time, senior, entry level and so on), then removes duplicates. That's how one search can return 50 or more jobs.
  • Apply links are Google redirects. The scraper follows them to the real job pages.
  • Salaries are text in many formats, such as "65K–70K a year" or "€4.274,92 a month". The scraper turns them into numbers, a currency and a period.

Other options

  • SerpApi has a Google Jobs endpoint, with a monthly subscription.
  • Job board APIs such as Adzuna's give you their own listings rather than Google's, some with a free tier.

Use it from AI assistants (MCP)

To let Claude, Cursor, VS Code or another MCP client search Google Jobs for you, add this MCP server URL: https://mcp.apify.com/?tools=ralfij/google-jobs-scraper. Sign in to Apify when the client asks, or send your Apify API token as Authorization: Bearer <token>. Runs are billed to your own Apify account.

Notes

  • I built the Google Jobs Scraper used in these examples, so keep that in mind.
  • Pricing is per job with no subscription; see the actor page. There are ready-made searches on its example tasks, such as nurse jobs in Texas.
  • Google Jobs isn't available in every country. The Netherlands, for example, returns no results. For local jobs elsewhere, write the search in the local language and set the country input, for example pflegefachkraft berlin with de.
  • Recruiter e-mail addresses and phone numbers are removed from descriptions by default.
  • Not affiliated with, endorsed by or sponsored by Google. Google Jobs is a trademark of Google LLC.

License

MIT

来源:README.md,提交 82a6aa7

工具

0
该服务器需要登录,因此 SourceWeft 无法在没有账号的情况下读取其工具,也未收录。已连接账号所能看到的内容可能因账号及其权限而异。

版本历史

1
  1. v1.0.0最新Oct 10, 2026

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