Linkedin Company Profile
io.github.mrockerPublished by GitHub account mrockerv1.0.0Updated Oct 25, 2026
LinkedIn companies, hiring signals and public profiles by URL. No login, no cookies. Pay per result.
Overview
A hosted Apify MCP server that lets an assistant pull public LinkedIn company and profile data, plus other social-media stats, on a pay-per-result basis.
- What you can do
- Look up LinkedIn companies by URL: industry, size, headquarters, website, followers, employees and latest job openings, without logging in. Retrieve public LinkedIn profiles: name, headline, titles, companies, location and education. The same endpoint also exposes X/Twitter, YouTube and TikTok profile, video and transcript tools, priced per result.
- When to use it
- Useful when you want an assistant to gather public company or professional-profile details for research, lead enrichment or hiring-signal checks, and you are comfortable paying per returned result through an Apify account.
- Requirements
- A remote MCP endpoint at mcp.apify.com, reached through an MCP client that supports remote servers. An Apify account with OAuth sign-in is required; the local npm variant instead needs an APIFY_TOKEN environment variable. Network access to Apify.
Installation
In SourceWeft
- Open Linkedin Company Profile in the dashboard and add it to a workspace.
- Connect the required credentials. They are stored privately and never shown on public pages.
- Enable the server for the chats that should use its tools.
Web executable via Streamable HTTP. Remote servers run from the web runtime once configured in a workspace.
Use with an agent
Paste this prompt into Claude Code, Codex, Cursor or another agent — or into SourceWeft chat. The agent reads this server's install guide, shows you its publisher, endpoint and sign-in, and adds it to your client once you agree. Keys never go into a command.
Read https://sourceweft.com/mcp/io.github.mrocker%2Flinkedin-company-profile/install.md and connect the MCP server it describes to my client. Before changing any config, show me its publisher, endpoint and sign-in method and wait for my OK. Never put an API key in a command or in a file I would commit; ask me where it should come from.Other MCP clients
Add this to your client's mcpServers config. The client completes OAuth sign-in on first connect.
{
"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).
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:
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:
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
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.
Source: README.md at commit b53f326
Tools
0Version history
1- v1.0.0LatestOct 18, 2026
Score
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