Mcp Linkedin Jobs Feed

com.mambabuilt由 mambabuilt.com 发布v1.0.1更新于 Nov 7, 2026

LinkedIn job search results with the employer website domain on every row. No login.

已验证STDIO仅桌面网页搜索与抓取商业与电商

概览

AI 生成的概览

按关键词和地点搜索 LinkedIn 公开职位，并为每条职位附上雇主官网域名。

可以做什么
  • 按关键词和地点搜索 LinkedIn 职位，可按发布时间、工作方式、经验级别、职位类型和排除公司筛选
  • 每条职位返回标题、公司、公司主页、地点、发布日期、职位链接和雇主官网域名
  • 可选读取每条职位的公开详情页
  • 配合状态键只返回此前运行未出现过的新职位，适合定时任务
  • 每次搜索和地点返回一条免费的汇总行，含找到与返回的职位数
适用场景
适合招聘、销售线索挖掘或市场调研，把 LinkedIn 职位信息整理成带公司域名的结构化数据，也适合每天或每周定时抓取新职位。
运行要求
通过 npx 在本地运行，需要 Node.js 18 或更高版本。需要 Apify 账户和 Apify API 令牌，以环境变量 APIFY_TOKEN 提供；无令牌时工具仍会列出，但调用需要令牌。实际任务在 Apify 上运行，需要网络访问。
安装前请注意
费用按事件计入你的 Apify 账户（每条职位行加每次运行启动费），可用 max_charge_usd 限制单次花费。APIFY_TOKEN 属于机密，请勿外泄。数据来自 LinkedIn 公开访客页面，雇主域名通过网页搜索推断，可能缺失或被标记为未解析。运行会读取公开网页并把搜索词发送给 Apify。

安装

在 SourceWeft 中

  1. 打开 控制台中的 Mcp Linkedin Jobs Feed，将其添加到工作区。
  2. 为需要使用其工具的对话启用该服务。

Desktop only，通过 STDIO。 STDIO 服务会启动本地进程，因此需要 SourceWeft 桌面宿主。

其他 MCP 客户端

参照 仓库 中的启动说明。

README

LinkedIn Jobs Feed MCP Server

[Glama score] [MCP Registry] [npm version] [npm downloads] [license] [mcpservers.org]

An MCP server for the Mamba Labs LinkedIn Jobs Feed actor on Apify. Give it job searches and locations. It returns one row per job from LinkedIn's public job search, with the employer's own website domain attached.

What's Inside

What it does

  • Source: LinkedIn's public guest job search and job posting pages only. No login, no cookie, no profile or company page reads.
  • Employer domain: a company name autocomplete, then a web search, once per employer and cached; returned only when the domain clearly matches the company name (domain_status resolved), otherwise empty and labeled.
  • Rows: one job row per job with the posting details, and one free search row per search and location with jobs_found and jobs_returned.
  • Filters and schedules: posted within, workplace type, experience level, job type, excluded companies, and only_new with a state_key.

All of the work runs on Apify. This package is a thin client that starts the actor run, waits for it, and hands back the dataset rows.

Quick start

You need Node.js 18 or newer and an Apify account with an API token.

Add this to your Claude Desktop config (claude_desktop_config.json), Cursor, or any MCP client:

json
{  "mcpServers": {    "mamba-linkedin-jobs-feed": {      "command": "npx",      "args": [        "-y",        "@mambalabsdev/mcp-linkedin-jobs-feed"      ],      "env": {        "APIFY_TOKEN": "your-apify-token"      }    }  }}

Restart the client. The search_linkedin_jobs tool appears.

Prerequisites

Example prompts

  • "Find account executive jobs posted in Germany this week and give me the hiring companies' domains."
  • "Which companies in London posted a head of sales or SDR manager job in the last 24 hours?"
  • "Every morning, list new remote RevOps jobs in the United States with the company domain."

Tool

search_linkedin_jobs. One tool. Example arguments:

json
{  "keywords": [    "account executive"  ],  "locations": [    "Germany"  ],  "max_jobs_per_search": "5"}

Inputs

Every buyer facing input of the actor, unchanged. Omitted inputs take the actor's own defaults. Numbers and booleans are sent as strings.

InputTypeDescription
keywordsarrayOne job search per line, as you would type it in LinkedIn's job search, for example account executive, or sdr manager saas. Up to 50 searches per run (keywords times locations)
locationsarrayOptional. One location per line, as LinkedIn's job search takes it: a country (Germany), a city (London, England, United Kingdom), or a region (European Union). Each search runs once per location. Empty searches worldwide
posted_withinstringOnly jobs posted in this window, as LinkedIn dates them
workplace_typesarrayOptional. Any of: on_site, remote, hybrid
experience_levelsarrayOptional. Any of: internship, entry, associate, mid_senior, director, executive
job_typesarrayOptional. Any of: full_time, part_time, contract, temporary, internship, volunteer, other
max_jobs_per_searchstringJob rows returned per search, newest first. Default 100, up to 1000 (LinkedIn shows guests about 1,000 results per search)
exclude_companiesarrayOptional. Drop jobs whose company name contains one of these, ignoring case, for example staffing agencies you do not want
include_detailsstringtrue reads each job's public posting page. No extra charge
find_company_domainstringtrue looks up each employer's own website domain by name with a web search, and returns it only when the domain clearly matches the name. No extra charge
only_newstringtrue returns only jobs that an earlier run with the same state key did not return. The first run returns every job in the window
state_keystringNames the saved state for only new jobs. Use one key per schedule, for example ae-germany-daily
reset_statestringtrue forgets the saved state for this state key
max_charge_usdstringOptional. The run stops before it would charge more than this

Pricing

Pay per event on Apify, billed to your Apify account. Prices in USD.

EventFree planBronzeSilverGold
job-row, one job returned, with details and the employer domain$0.0015$0.001425$0.00135$0.001275
apify-actor-start, per run start$0.001$0.001$0.001$0.001

Search rows and the row for a refused input are free. Posting details and the domain lookup carry no extra charge.

Your keys

The actor needs no key and no LinkedIn account. It reads public job pages and a public search results page and holds no key of any kind. Mamba Labs pays the platform and proxy costs of the run.

Full actor documentation

apify.com/mambalabs/linkedin-jobs-feed

License

MIT. See LICENSE.

来源：README.md，提交 de08149

工具

1

search_linkedin_jobs

Search LinkedIn jobs with the employer domain

Search LinkedIn jobs by keywords and location and return one row per job with the employer's own website domain attached. Reads only LinkedIn's public guest job search and job posting pages, with no login. Each job row carries title, company, company page, location, posting date, job link, and by default the description, seniority level, employment type, job function, industries, and applicant count. The employer domain comes from a public company name autocomplete, then a web search, and is returned only when it clearly matches (domain_status resolved). Filters: posted within 24h, week, or month; workplace type; experience level; job type; excluded companies. only_new with a state_key returns only jobs earlier runs did not return. One free search row per search and location gives the counts. A run that does not succeed is returned as an error with its run ID. Read-only; requires an APIFY_TOKEN; Apify charges per job row returned and once per run start; search rows are free.

输入参数keywordsonly_newjob_typeslocationsstate_keyreset_stateposted_withinmax_charge_usdinclude_detailsworkplace_typesexclude_companiesexperience_levels另有 2 个

版本历史

2
  1. v1.0.1最新Nov 5, 2026
  2. v1.0.0Oct 30, 2026

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