What is linkedin-company-profile?

A lookup tool for public LinkedIn companies and profiles. It can return company details, public professional information, and recent job openings without logging in.

Use it to research companies, review public professional backgrounds, compare organisations, and find recent job openings.

It removes the need to gather public professional and company information manually or maintain a browser login. It also supports checking whether a company is hiring and what roles it lists.

linkedin-company-profile — Skill for Claude Code and Codex by mrocker

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent

npx skills add mrocker/social-data-mcp --skill linkedin-company-profile

Clone the repo

git clone --depth 1 https://github.com/mrocker/social-data-mcp

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

README.md

[![agentmods](https://agentmods.dev/badge/skills/mrocker/social-data-mcp/linkedin-company-profile/github.svg)](https://agentmods.dev/skills/mrocker/social-data-mcp/linkedin-company-profile)

Your own site

<a href="https://agentmods.dev/skills/mrocker/social-data-mcp/linkedin-company-profile"><img src="https://agentmods.dev/badge/skills/mrocker/social-data-mcp/linkedin-company-profile/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

Your own site · 80×15

<a href="https://agentmods.dev/skills/mrocker/social-data-mcp/linkedin-company-profile"><img src="https://agentmods.dev/badge/skills/mrocker/social-data-mcp/linkedin-company-profile.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 81 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 683 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

Model	Per session	Once invoked
Fable 5.1	$0.00081	$0.00683
Opus 5.5	$0.00032	$0.00273
Sonnet 5.5	$0.00016	$0.00137
Haiku 4.5	$0.00008	$0.00068

Measured 22d ago against content hash 245de425595d, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

linkedin-company-profile scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 22d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

curl -s -X POST "https://api.apify.com/v2/acts/nick.cheng~linkedin-company-profile-scraper/run-sync-get-dataset-items?token=$APIFY_TOKEN" \

skills/linkedin-company-profile/SKILL.md · 43 lines

How it starts

The opening of the file, as written. The whole thing — 43 lines — stays where its author put it; the contents beside it link to each section on GitHub.

LinkedIn companies & public profiles

Pay-per-result Apify Actor nick.cheng/linkedin-company-profile-scraper. No login, no cookies, no account. $0.004 per company, $0.004 per profile — same on every plan; not-found or non-public targets cost nothing. Needs APIFY_TOKEN (free account: https://console.apify.com/account/integrations).

When to use

"What does this company do / how big is it / where is it" → companyUrls (links or the name from the link)
"Is this company hiring, and for what" → add includeJobs: true (newest open roles, last 30 days first)
"Who is this person professionally" → profileUrls (public profiles only)
Long lists → listUrl (public CSV/TXT or a Google Sheet shared as "Anyone with the link")

Call it

curl -s -X POST "https://api.apify.com/v2/acts/nick.cheng~linkedin-company-profile-scraper/run-sync-get-dataset-items?token=$APIFY_TOKEN" \
  -H 'Content-Type: application/json' \
  -d '{"companyUrls":["stripe","https://www.linkedin.com/company/duolingo/"],"includeJobs":true,"profileUrls":["williamhgates"]}'

Or as an MCP tool: https://mcp.apify.com/?tools=nick.cheng/linkedin-company-profile-scraper. Companies only: nick.cheng/linkedin-company-scraper; profiles only: nick.cheng/linkedin-profile-scraper.

Output rows

itemType: "company" — companyId, slug, name, tagline, description, website, industry, companySize, employeesOnLinkedIn, followers, headquarters, companyType, founded, specialties, logo; with includeJobs: latestJobs[] (title, location, postedAt, url), latestJobsWindow
itemType: "profile" — name, headline, jobTitles, currentCompanies[] (name, title, startDate), location, countryCode, about, followers, connections, education[], pastOrganizations[], languages, awards
error: true, chargedForThis: false — not found, or not visible to logged-out visitors

Limits

Only what LinkedIn shows logged-out visitors. No people/company search, no employee lists, no Sales Navigator, no emails or phone numbers. Profiles are personal data: the caller needs a lawful basis (GDPR/CCPA) to collect and use them.

Read the full file on GitHub · 43 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

22d ago First seen · 43 lines · 81 tokens per session scan A 245de425595d

Subscribe to this mod's changes

linkedin-company-profile is a skill published in the GitHub repository mrocker/social-data-mcp (0 stars, last pushed 22d ago), licensed MIT. It adds 81 tokens to every session and 683 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-10-18.

Project management Research

linkedin-company-profile next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
linkedin-company-profilemrocker/social-data-mcp	Skill	0	22d ago	MIT	A	81	Claude Code, Codex
imagegenopenai/codex	Skill	134k	today	Apache-2.0	A	113	Codex
local-ai-agentsmicrosoft/ai-agents-for-beginners	Skill	79k	2d ago	MIT	A	200	Claude Code, Codex
playwright-climicrosoft/playwright	Skill	100k	today	Apache-2.0	A	19	Claude Code
browser-automationopenclaw/openclaw	Skill	394k	today	MIT	A	36	Claude Code
systematic-debuggingobra/superpowers	Skill	315k	6d ago	MIT	A	21	Claude Code
next-cache-components-adoptionvercel/next.js	Skill	143k	today	MIT	A	95	Claude Code

linkedin-company-profile