LinkedIn Company Scraper

LinkedIn Company Scraper by Omkar Cloud gets you 🎯 accurate, 🔍 detailed LinkedIn company data — website, industry, size, headquarters, followers, employee count, every office and the latest posts of any company.

LinkedIn uses its own aggressive bot protection — rate limits, a bot-check page and its infamous HTTP 999 block — to stop you from getting its data.

LinkedIn Company Scraper beats it, so you get the data, and can successfully complete your project.

$1 per 1,000 companies. And with Apify's free plan you get $5 of credit every month, so your first ~5,000 companies each month are free.

This is an excellent Actor made by Omkar Cloud, which is Rated Excellent — 4.7 based on 37 reviews on Trustpilot.

👉 Try LinkedIn Company Scraper free — your first ~5,000 companies are Free.

What can I get

• 🏢 Company pages for ~100% of the Fortune 500 — website, industry, size band, type, founding year & headquarters
• 📈 Live reach numbers — LinkedIn followers and employees on LinkedIn
• 📍 Every office — full addresses with the primary one flagged, plus the HQ street, city, region and country
• 🔗 Related pages & latest posts — affiliated pages, similar companies, sample employees and recent updates with likes

Why LinkedIn Company Scraper

Most other LinkedIn company scrapers fail you in one of four ways:

• 🗄️ Inaccurate, cached, stale data
• 🧩 Low-detail data — a few fields per company, never the full picture
• 💸 Pay more to get the same data
• 🪦 Works today, breaks next month — nobody maintains it

LinkedIn Company Scraper is scraped live on every run, priced honestly, and actively maintained.

Example: A Full LinkedIn Company

{
  "id": "1441",
  "slug": "google",
  "name": "Google",
  "link": "https://www.linkedin.com/company/google",
  "website": "https://goo.gle/3DLEokh",
  "industry": "Software Development",
  "company_size": "10,001+ employees",
  "company_type": "Public Company",
  "headquarters": "Mountain View, CA",
  "followers_count": 42579312,
  "employees_count": 330447,
  "specialties": ["search", "ads", "mobile", "android"],
  "address_city": "Mountain View",
  "address_country": "US",
  "locations": [
    { "address": "1600 Amphitheatre Parkway, Mountain View, CA 94043, US", "is_primary": true },
    { "address": "111 8th Ave, New York, NY 10011, US", "is_primary": false }
  ],
  "similar_pages": [
    { "name": "Microsoft", "slug": "microsoft", "industry": "Software Development", "location": "Redmond, Washington" }
  ]
}

Trimmed for readability. One flat row per company, so it exports cleanly to CSV and Excel.

Get Started with 5,000 Free Companies

1. Hit Try for Free Button — the input is pre-filled with OpenAI and Google.
2. Enjoy your data 😎.

Pricing

High value, Low price.

What	Price	What you get
Companies	$1 per 1,000	id, slug, name, link, tagline, website, industry, size, type, founding year, headquarters, followers, employees, specialties, about text, logo, cover image, HQ address, every office, affiliated pages, similar companies, sample employees and latest posts

No start fee — you pay only for the companies you get. A company LinkedIn has no page for is never billed.

💡 Apify's free plan includes $5 of credit every month — about 5,000 free companies, every month.

👉 Scrape your first 5,000 companies free

FAQ

What can I put in Companies? A LinkedIn company slug (openai), a company link (https://www.linkedin.com/company/google) or a company name (Goldman Sachs). A name is turned into LinkedIn's usual slug (goldman-sachs); if that misses, the log tells you the closest company LinkedIn knows.

Can I use a numeric company ID? No. LinkedIn serves public company pages by slug only, so paste the company link instead.

How many companies can I scrape in one run? As many as you list. Each company is one row, scraped five at a time.

Do I get every employee? No. You get the employees LinkedIn shows on the public page; full employee lists need a signed-in LinkedIn account.

Run It from Code

Grab your API token from Integrations Settings here and replace <YOUR_API_TOKEN> below.

Python (pip install apify-client)

from apify_client import ApifyClient

client = ApifyClient("<YOUR_API_TOKEN>")
run = client.actor("omkar-cloud/linkedin-company-scraper").call(run_input={
    "companies": ["openai", "https://www.linkedin.com/company/google", "Goldman Sachs"],
})
for company in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(company["name"], company["website"], company["followers_count"])

Node.js (npm install apify-client)

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: '<YOUR_API_TOKEN>' });
const run = await client.actor('omkar-cloud/linkedin-company-scraper').call({
    companies: ['openai', 'nvidia'],
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

💬 Have Questions? We Have Answers.

You're a business owner — we know how hard completing a project can be. So we offer full support: just message us and we'll reply ✅ with a solution within 1 working day.

You are important to us — just message us and we will solve your problem ✅ within 1 working day. 🩷 Pinky Promise 🤙!

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