LinkedIn Company Scraper — Industry, Size, HQ, Employees & Posts

Enrich a list of companies with their public LinkedIn company page data — no LinkedIn account, no cookies, no risk to your profile:

name, LinkedIn company ID, tagline, description, website, industry, company size, employees on LinkedIn, followers, headquarters, company type, founded year, specialties, all office locations, logo, a sample of employees, similar companies and recent posts (text, date, likes).

How to run it in 3 steps

1. Add your input. In LinkedIn company URLs or slugs paste LinkedIn company slugs or company page links — e.g. apify or https://www.linkedin.com/company/stripe/. The form is already filled with a working example, so you can skip this step for a first try.
2. Press Start. The prefilled run returns 2 companys in about 15 s and costs about $0.006. Set Max results (cost cap) to cap the cost of bigger runs; you only pay for companies actually delivered.
3. Get the data. Open the Output tab and export JSON, CSV or Excel — or run it from the API, Make, Zapier, n8n or an AI agent (see below).

Features

• No login needed — public pages only; your LinkedIn account is never touched.
• Firmographics for lead scoring: size, industry, HQ, founded, employees count, followers.
• Lead expansion: similarPages gives you 10 lookalike companies per company.
• HTTP only, no browser: plain HTTP, rotating datacenter IPs. Pay per company: $3 per 1,000.

Use cases

• CRM enrichment for sales and marketing teams (HubSpot, Salesforce, Clay).
• ICP filtering: keep only 51–200 employee SaaS companies in a given city.
• Competitor & market mapping with similar companies.
• Investor research: headcount on LinkedIn and posting activity.

Input

{
  "companies": ["apify", "https://www.linkedin.com/company/stripe/", "https://www.linkedin.com/school/stanford-university/"],
  "includePosts": true
}

Output

Real output (default input)

First 2 of 2 records from a run with the prefilled input (14.6 s on Apify; long values shortened here):

[
  {
    "name": "Apify",
    "companyId": "10608457",
    "tagline": "Thousands of Actors to automate your business, get real-time web data, and equip your AI agents.",
    "description": "Apify is the largest marketplace of tools for AI. More than 50,000 Actors to automate your business. Get real-time web data, track competito…",
    "website": "https://apify.com/",
    "industry": "Technology, Information and Internet",
    "companySize": "201-500 employees",
    "employeesOnLinkedIn": 274,
    "followers": 42349,
    "headquarters": "Prague",
    "type": "Privately Held",
    "founded": 2016,
    "specialties": [
      "Web scraping",
      "Browser automation",
      "AI agents"
    ],
    "locations": [
      "Vodickova 704/36 Prague, 11100, CZ",
      "San Francisco, CA, US"
    ],
    "logo": "https://media.licdn.com/dms/image/v2/D4D0BAQF7OnC-r1njIA/company-logo_200_200/B4DZwd3LFrHEAI-/0/1770027528966/apify_logo?e=2147483647&v=beta…",
    "coverImage": null,
    "employeesSample": [
      {
        "name": "Honza Javorek",
        "title": "Tvořím junior.guru, které pomáhá juniorním programátorům",
        "url": "https://www.linkedin.com/in/honzajavorek"
      }
    ],
    "similarPages": [
      "https://www.linkedin.com/company/n8n",
      "https://www.linkedin.com/company/itsmakehq",
      "https://www.linkedin.com/company/grow-with-clay"
    ],
    "recentPosts": [
      {
        "url": "https://www.linkedin.com/posts/apify_hiring-now-october-activity-7516445324094369794-L6zf",
        "text": "Building the tools the agentic web runs on isn’t a small job. The Apify team is looking for people who want to own it.\n\nApify is the infrast…",
        "publishedAt": "2026-10-15T10:30:14.063Z",
        "likes": 7
      },
      {
        "url": "https://www.linkedin.com/posts/apify_the-best-way-to-discover-local-shops-in-san-activity-7516418671603314688-UKMb",
        "text": "The best way to discover local shops in San Francisco might be a video game.\n\nNadine E. took 2nd place at Claude for Games Build Day with Ma…",
        "publishedAt": "2026-10-15T08:44:19.615Z",
        "likes": 5
      },
      {
        "url": "https://www.linkedin.com/posts/apify_google-maps-lists-250-million-businesses-activity-7516147091430326272-Ac0M",
        "text": "Google Maps lists 250 million businesses and places. Alex Vacca went through 1,000+ failed outbound campaigns and found that 9 in 10 broke o…",
        "publishedAt": "2026-10-14T14:45:09.855Z",
        "likes": 5
      }
    ],
    "slug": "apify",
    "linkedinUrl": "https://www.linkedin.com/company/apify/",
    "scrapedAt": "2026-10-15T12:24:06.337Z"
  },
  {
    "name": "Stripe",
    "companyId": "2135371",
    "tagline": "Help increase the GDP of the internet.",
    "description": "Stripe builds programmable financial services. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use…",
    "website": "https://stripe.com",
    "industry": "Technology, Information and Internet",
    "companySize": "5,001-10,000 employees",
    "employeesOnLinkedIn": 16694,
    "followers": 1768966,
    "headquarters": "South San Francisco, California",
    "type": "Privately Held",
    "founded": 2010,
    "specialties": [],
    "locations": [
      "354 Oyster Point Blvd South San Francisco, California 94080, US",
      "1 Wilton Park, Wilton Terrace Dublin, County Dublin D02 FX04, IE",
      "920 5th Ave Seattle, Washington 98104, US"
    ],
    "logo": "https://media.licdn.com/dms/image/v2/D560BAQE2ZfJyfn-VCg/company-logo_200_200/B56ZlyKwpUKIAI-/0/1758557047806/stripe_logo?e=2147483647&v=bet…",
    "coverImage": null,
    "employeesSample": [
      {
        "name": "Daniel Almenara",
        "title": null,
        "url": "https://www.linkedin.com/in/danielalmenara"
      },
      {
        "name": "Jason Horman",
        "title": null,
        "url": "https://www.linkedin.com/in/jhorman"
      },
      {
        "name": "Binoy G.",
        "title": null,
        "url": "https://www.linkedin.com/in/binoyg"
      }
    ],
    "similarPages": [
      "https://www.linkedin.com/company/atlassian",
      "https://www.linkedin.com/company/airbnb",
      "https://www.linkedin.com/company/revolut"
    ],
    "recentPosts": [
      {
        "url": "https://www.linkedin.com/posts/stripe_cheeky-pint-is-back-mark-zuckerberg-and-activity-7515552563283505152-8PSG",
        "text": "Cheeky Pint is back. Mark Zuckerberg and Alexandr Wang join John Collison on the show to break down the launch of Muse Wonder and discuss Me…",
        "publishedAt": "2026-10-12T23:22:43.300Z",
        "likes": 1182
      },
      {
        "url": "https://www.linkedin.com/posts/stripe_introducing-personal-agent-protocol-activity-7513299438086332416-zrLF",
        "text": "We're working with Meta, Sierra, Genesys, Instinct, Rocket, Shopify, and Walmart as founding partners for the Personal Agent Protocol: an op…",
        "publishedAt": "2026-10-06T18:09:36.392Z",
        "likes": 451
      },
      {
        "url": "https://www.linkedin.com/posts/stripe_were-partnering-with-fedex-dataworks-together-activity-7513269756498636800-qruC",
        "text": "We’re partnering with FedEx Dataworks. Together, we’ll leverage supply-chain data to help small businesses access financing from Stripe Capi…",
        "publishedAt": "2026-10-06T16:11:39.750Z",
        "likes": 246
      }
    ],
    "slug": "stripe",
    "linkedinUrl": "https://www.linkedin.com/company/stripe/",
    "scrapedAt": "2026-10-15T12:24:14.138Z"
  }
]

{
  "name": "Apify",
  "companyId": "10608457",
  "tagline": "Thousands of Actors to automate your business, get real-time web data, and equip your AI agents.",
  "website": "https://apify.com/",
  "industry": "Technology, Information and Internet",
  "companySize": "201-500 employees",
  "employeesOnLinkedIn": 274,
  "followers": 42115,
  "headquarters": "Prague",
  "type": "Privately Held",
  "founded": 2016,
  "specialties": ["Web scraping", "Browser automation", "AI agents"],
  "locations": ["Vodickova 704/36 Prague, 11100, CZ", "San Francisco, CA, US"],
  "similarPages": ["https://www.linkedin.com/company/n8n", "https://www.linkedin.com/company/firecrawl"],
  "recentPosts": [{ "url": "https://www.linkedin.com/posts/apify_…", "publishedAt": "2026-10-14T09:37:58.388Z", "likes": 4 }],
  "linkedinUrl": "https://www.linkedin.com/company/apify/"
}

Companies that don't exist are listed in FAILED_COMPANIES in the key-value store and are not charged.

Lead-generation workflow: works well with

The same people who use this actor usually need one of these next:

• Google Maps Scraper: Leads with Phones, Emails & Socials — find local businesses on Google Maps with phones, emails and social links
• Contact Info & Contact Details Scraper: Emails, Phone Numbers — turn any list of websites into emails, phones and social profiles
• Website Tech Stack Detector: CMS, Analytics, CRM & More — qualify the leads by the technologies their websites use (Shopify, HubSpot, Stripe…)
• Google Play Scraper: Apps, Developer Emails, Ratings & Reviews — collect Google Play apps with developer emails and websites
• TikTok Profile Scraper: Followers, Likes, Bio Emails — find TikTok creators with follower counts and bio emails
• Shopify Store & Product Scraper: Prices, Variants, Stock — scrape the product catalog of any Shopify store you found

Pricing

• $3.00 per 1,000 companies ($0.003 per company).
• The prefilled input is billed for 2 companies → $0.006.
• Example: 1,000 companies → $3.00; 10,000 → $30.00. Set Max results (cost cap) to limit any run.

• Companies that are not found are free.
• Your Apify spending limit is respected exactly: the actor stops charging and finishes cleanly when it is reached. Apify platform usage (compute, proxy) is included in the price.

Use with AI agents (MCP), LangChain, RAG & the API

This actor is a ready-made tool for AI agents: an LLM can call it, wait for the run and read clean JSON back.

MCP server (Claude Desktop, Claude Code, Cursor, VS Code, any MCP client) — add Apify's hosted MCP server with this actor enabled as a tool:

{
  "mcpServers": {
    "apify": {
      "url": "https://mcp.apify.com/?tools=torix33/linkedin-company-scraper",
      "headers": { "Authorization": "Bearer <APIFY_TOKEN>" }
    }
  }
}

LangChain / LangGraph (pip install langchain-apify, set APIFY_API_TOKEN):

import json
from langchain_apify import ApifyActorsTool, ApifyWrapper
from langchain_core.documents import Document

# 1) give the actor to an agent as a tool
tool = ApifyActorsTool("torix33/linkedin-company-scraper")

# 2) or load results as Documents for a RAG index
loader = ApifyWrapper().call_actor(
    actor_id="torix33/linkedin-company-scraper",
    run_input={"companies": ["apify", "https://www.linkedin.com/company/stripe/", "https://www.linkedin.com/school/stanford-university/"], "includePosts": True},
    dataset_mapping_function=lambda item: Document(page_content=json.dumps(item, ensure_ascii=False), metadata={"url": item.get("url")}),
)
docs = loader.load()

REST API — one synchronous call, dataset items in the response:

curl -X POST "https://api.apify.com/v2/acts/torix33~linkedin-company-scraper/run-sync-get-dataset-items?token=<APIFY_TOKEN>" \
  -H "Content-Type: application/json" \
  -d '{"companies": ["apify", "https://www.linkedin.com/company/stripe/", "https://www.linkedin.com/school/stanford-university/"], "includePosts": true}'

Also works with the Apify Python/JS clients, Make, Zapier, n8n, Google Sheets, webhooks and schedules. Export as JSON, CSV, Excel, XML or RSS.

RAG tip: Use it as an enrichment tool in an agent: pass a company slug or URL, get industry, companySize and headquarters back, and score the lead.

Limitations

• Public company pages only: no employee lists, no people profiles, no login or cookies.
• LinkedIn blocks many server IPs; keep Apify Proxy enabled (prefilled). Without it, runs from datacenter IPs can return nothing.
• Fields LinkedIn does not show publicly for a company (e.g. founded year) are empty.

FAQ

Do I need a LinkedIn account? No. Public company pages only; your account is never touched.

What input does it accept? Company URLs (linkedin.com/company/...) or slugs.

Can I find lookalike companies? Yes. similarPages returns about 10 similar companies for each company.