职位发布 MCP

通过 AI 助手搜索职位信息

  • 用自然语言提问 — 无需代码,无需 API 调用
  • 访问来自 348k 个来源、覆盖 195 个国家的 214M 个职位
  • 支持 Claude、Cursor、ChatGPT、Windsurf 及任何 MCP 客户端
Indeed
LinkedIn
Workable
Greenhouse
Naukri
Glassdoor
Join
Lever
YC
Ashby
348k 个来源
TheirStack

受到行业领袖的信赖

Google logoAmazon logoIBM logoUber logoBCG logoStanford University logoEquifax logoJetBrains logoQonto logoClay logoFreshworks logomonday.com logoZapier logoGrafana Labs logoNew Relic logoRedis logoConfluent logoFlexport logoPayhawk logoAllianz Trade logoRemote logoMake logoDevoteam logoRapid7 logoIEEE logoSmartRecruiters logoWorkable logoTigerData logoMotherDuck logoGoogle logoAmazon logoIBM logoUber logoBCG logoStanford University logoEquifax logoJetBrains logoQonto logoClay logoFreshworks logomonday.com logoZapier logoGrafana Labs logoNew Relic logoRedis logoConfluent logoFlexport logoPayhawk logoAllianz Trade logoRemote logoMake logoDevoteam logoRapid7 logoIEEE logoSmartRecruiters logoWorkable logoTigerData logoMotherDuck logo

功能介绍

自然语言职位搜索

无需学习查询语法。只需描述您在寻找什么。

用自然语言搜索职位

您的 AI 助手调用 search_jobs 工具,按职位名称、地点、薪资、级别、技术或任意组合查找职位。只需描述您在寻找什么。

Find me senior backend engineer jobs in the US
that mention Kubernetes, posted in the last 7 days,
paying over $150k

即时获取任何公司的在招职位

search_jobs 工具也可作为公司信息充实端点 — 询问特定公司即可获取其所有活跃职位发布,包含标准化的职位名称、薪资和地点。

What jobs is Stripe currently hiring for?
Show me their engineering roles with salaries.

Data Quality

Clean, enriched, and ready to use

Every job posting is deduplicated, normalized, and enriched with salary, location, seniority, and hiring team data.

348k+ 数据来源

我们从超过 348k 个网站汇集职位信息——包括企业招聘页面、招聘平台和 ATS 系统——让您全面掌握谁在招聘以及他们的需求。

查看所有来源

新鲜、实时的数据

每小时有数千条新职位发布。90% 的新科技职位在 24 小时内被发现,73% 在当天即被收录。

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自 2021 年以来的历史数据

访问自 2021 年以来的历史和已过期职位数据,用于趋势分析、预测和市场研究。

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智能去重

职位在不同平台上会重复出现 3-5 次。我们通过算法和人工验证消除重复项,提供干净、唯一的信号。

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标准化地点数据

将原始地点字符串标准化为结构化的城市、州、国家数据,实现精准的地理位置筛选。

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薪资情报

薪资数据经过提取和标准化处理——最低值、最高值、货币、周期——支持跨市场的薪酬对标分析。

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标准化职位描述

所有来源的职位描述统一转换为 Markdown 格式,让您的前端一致渲染——无需再解析原始 HTML。

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丰富的企业数据

每条职位都包含丰富的企业信息——规模、行业、融资、地点、技术栈等。覆盖 238 个国家的 1100 万+ 企业档案。

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原始来源 URL

当职位来自企业的招聘页面时,我们会包含原始 URL,方便您将用户重定向到正确的来源。使用 final_url_exists 筛选仅来自招聘页面的职位。

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招聘负责人数据

查看每条职位发布的负责人——姓名、职位和 LinkedIn 个人资料。筛选有招聘负责人信息的职位。

了解更多

Use Cases

What teams build with job data

From lead generation to competitive intelligence, job data powers dozens of workflows across sales, recruiting, and product teams.

Target companies with active job openings

Use fresh job postings as a real-time signal of hiring urgency, then prioritize outreach based on the roles, locations, and seniority levels a company is trying to fill.

See how

Find companies struggling to fill roles

Track reposted roles, long-open vacancies, and spikes in similar job ads to spot teams that are under-resourced — then offer interim staffing, managed recruiting, or outsourcing.

See how

Monitor past customers hiring again

Monitor job postings from current and past customers to spot reactivation moments, new needs, and upsell opportunities — then reach out while the timing is right.

See how

Identify companies with problems your software solves

Spot companies hiring for manual, time-consuming tasks your product can automate, then reach out when the need is most urgent.

See how

Spot your competitors' next moves

Use hiring signals to see where competitors are expanding — locations, teams, initiatives — months before it's visible publicly, so you can plan and act early.

See how

Expand your job board with fresh listings

Backfill your job board with relevant listings to grow inventory, improve SEO, and keep users coming back.

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Match job seekers with relevant opportunities

Send targeted job recommendations to students and clients using filters like location, role, and keywords.

Learn more

Power sales intelligence platforms

Add job-based intent signals and technographic enrichment into your product so users can build lists, enrich accounts, and trigger workflows from hiring and stack changes.

See how

Reach newly hired decision-makers

Know the moment a role is filled at a target account. A closed VP or Director search means a new hire in their first 90 days — evaluating tools, setting budgets, and open to new vendors.

See how

兼容性

支持任何兼容 MCP 的 AI 客户端

ClaudeCursorChatGPTWindsurfClaude Code

常见问题