Linkedin Company Profile

io.github.mrocker由 GitHub 帳號 mrocker 發布v1.0.0更新於 Oct 25, 2026

LinkedIn companies, hiring signals and public profiles by URL. No login, no cookies. Pay per result.

已驗證Streamable HTTP可網頁執行網頁搜尋與抓取商業與電商

概覽

AI 產生的概覽

一個託管在 Apify 上的 MCP 伺服器,讓助理依結果付費取得公開的 LinkedIn 公司與個人資料,以及其他社群媒體統計資訊。

可以做什麼
依網址查詢 LinkedIn 公司:產業、規模、總部、網站、追蹤者、員工及最新職缺,無需登入。取得公開的 LinkedIn 個人檔案:姓名、頭銜、職稱、公司、所在地與教育背景。同一端點還提供 X/Twitter、YouTube 和 TikTok 的檔案、影片與逐字稿工具,依結果計費。
適用情境
適合讓助理蒐集公開的公司或職業資料,用於研究、名單補充或招募訊號查核,且你願意透過 Apify 帳戶依回傳結果付費。
執行需求
位於 mcp.apify.com 的遠端 MCP 端點,需使用支援遠端伺服器的 MCP 用戶端連線。需要 Apify 帳戶並以 OAuth 登入;本機 npm 版本則需設定 APIFY_TOKEN 環境變數。需要連線至 Apify 的網路。
安裝前請注意
依結果計費,費用隨用量增加。此端點還綁定 LinkedIn 以外的多個擷取工具,建議只啟用所需工具。擷取資料來自第三方,可能不完整或過時。完整的 X 時間軸需要你自行提供 cookies。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 Linkedin Company Profile,將其新增到工作區。
  2. 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。
  3. 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.mrocker%2Flinkedin-company-profile/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。

檢視代理程式所依據的安裝指南

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": {
    "linkedin-company-profile": {
      "type": "http",
      "url": "https://mcp.apify.com/?tools=nick.cheng/linkedin-company-profile-scraper"
    }
  }
}

README

social-data-mcp

Pay-per-result data tools — X/Twitter profiles & tweets, YouTube videos & channels, TikTok profiles & video stats, YouTube / TikTok transcripts, and LinkedIn companies & public profiles — exposed to AI agents as MCP servers and as Agent Skills. They run on Apify. No platform API key is needed and nothing logs in on its own; the one exception is full X timelines, which need cookies from a session of your own (X shows logged-out visitors only an account's latest few posts). You are charged only for results that actually came back, at the same price on every Apify plan (free included).

ToolApify ActorPrice
X (Twitter) profiles, tweets, single-tweet lookup, engagement filters, incremental runs (full timelines with your own cookies)nick.cheng/x-twitter-profile-tweets-scraper$0.005/account · $0.0003/tweet · $0.005/tweet lookup
YouTube video metadata & channel data, filters by views/duration/datenick.cheng/youtube-video-channel-scraper$0.015/video · $0.005/channel
TikTok profiles & per-video statsnick.cheng/tiktok-profile-stats-scraper$0.02/profile · $0.003/video
YouTube transcripts — spoken-language captions as text + timed segments, from links or channelsnick.cheng/youtube-transcript-scraper$0.005/transcript; no captions, no charge
TikTok transcripts — TikTok's captions as text + timed segmentsnick.cheng/tiktok-transcript-scraper$0.003/transcript; no captions, no charge
LinkedIn companies (industry, size, HQ, website, followers, employees, latest job openings) and public profiles (name, headline, titles, companies, location, education) — no loginnick.cheng/linkedin-company-profile-scraper$0.004/company · $0.004/profile

The YouTube and TikTok tools can also return the transcript alongside the stats (includeSubtitles: true, no extra charge).

Narrower single-purpose variants of the same code, for when you want exactly one thing: x-profile-data · single-tweet-scraper · youtube-video-stats · tiktok-follower-count · tiktok-video-stats.

Use as an MCP server (hosted, no install)

Apify hosts an MCP endpoint for every Actor. Add one URL to any client that supports remote MCP servers (Claude, Cursor, VS Code, …) and authenticate with your Apify account when prompted:

https://mcp.apify.com/?tools=nick.cheng/x-twitter-profile-tweets-scraper,nick.cheng/youtube-video-channel-scraper,nick.cheng/tiktok-profile-stats-scraper,nick.cheng/youtube-transcript-scraper,nick.cheng/tiktok-transcript-scraper,nick.cheng/linkedin-company-profile-scraper

Or pick one: https://mcp.apify.com/?tools=nick.cheng/youtube-transcript-scraper.

The servers are also listed in the official MCP Registry as io.github.mrocker/x-twitter-profile-tweets, io.github.mrocker/youtube-video-channel, io.github.mrocker/tiktok-profile-stats, io.github.mrocker/youtube-transcripts, io.github.mrocker/tiktok-transcripts, io.github.mrocker/linkedin-company-profile (see servers/), and the first three on Smithery: nick-cheng/x-twitter-profile-tweets · nick-cheng/youtube-video-channel · nick-cheng/tiktok-profile-stats (the Smithery gateway forwards your Apify token as a token query parameter).

Use as a local stdio server

Published on npm as social-data-mcp and in the MCP Registry as io.github.mrocker/social-data-mcp:

json
{  "mcpServers": {    "social-data": {      "command": "npx",      "args": ["-y", "social-data-mcp"],      "env": { "APIFY_TOKEN": "<your token>" }    }  }}

This is a thin wrapper that starts Apify's own @apify/actors-mcp-server pre-scoped to the six Actors above. Get a token at https://console.apify.com/account/integrations (free account is enough).

Use as Agent Skills

bash
npx skills add mrocker/social-data-mcp

Installs six skills — x-twitter-profile-tweets, youtube-video-channel, tiktok-profile-stats, youtube-transcripts, tiktok-transcripts, linkedin-company-profile — each a short SKILL.md telling the agent when to call the tool, how (one curl), what comes back, and what the tool cannot do.

What these tools will not do

Keyword search on X, follower lists, reply threads, TikTok video lists per account, LinkedIn people/company search, employee lists and Sales Navigator (all login-only), and speech recognition of their own (transcripts are the platforms' own captions; a video without captions gets none). Full X timelines need cookies you supply; nothing here signs in on its own or uses anyone else's account. The READMEs on Apify say so up front.

Correction (October 2026): earlier versions of this page said YouTube transcripts were impossible and that nothing here needed a login. The first was true only of the YouTube web player's caption links, the only ones we had tested; the second stopped being true for X timelines when X rebuilt its web app.

License

MIT for the code in this repository. The Actors themselves are used under Apify's terms.

來源:README.md,提交 b53f326

工具

0
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版本歷史

1
  1. v1.0.0最新Oct 18, 2026

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