LinkedIn Company Scraper gets public LinkedIn company page data in bulk without logging in: name, industry, company size, headquarters and address, website, founded year, specialties, followers, employees on LinkedIn and the About description. It is a LinkedIn company data scraper for B2B sales, marketing and research teams who enrich account lists. Paste company URLs or slugs and export LinkedIn company profiles to Excel, CSV or JSON, with no account and no cookies.

What does LinkedIn Company Scraper do?

You give it a list of LinkedIn companies. For each one, the scraper opens the public company page on linkedin.com (the version anyone sees without logging in), reads the top card, the About section and the structured data in the page, and saves one clean row per company.

It accepts these forms, mixed in the same list:

Input form	Example
Company page URL	https://www.linkedin.com/company/nubank
URL with a sub-page	https://www.linkedin.com/company/stripe/about/
Company slug only	openai

The slug is the part after /company/ in the link. Duplicates are removed, so the same slug in two lines is scraped once.

Each row holds the company's identity (name, tagline, logo, LinkedIn URL), its About data (description, website, industry, size bracket, headquarters, organization type, founded year, specialties), its LinkedIn numbers (followers and employees on LinkedIn) and its address split into street, city, region, postal code and country. No personal profiles are collected. You do not need a LinkedIn account, cookies or an API key.

What data can you extract?

Field	What it means	Example
name	Company name	OpenAI
linkedinUrl	Company page on LinkedIn	https://www.linkedin.com/company/openai
tagline	Short tagline under the name, when the page has one	Help increase the GDP of the internet.
description	About text of the company	OpenAI is an AI research and deployment company…
website	Company website (the real link, not LinkedIn's redirect)	https://openai.com/
industry	Industry chosen on LinkedIn	Research Services
companySize	Size bracket chosen on LinkedIn	1,001-5,000 employees
headquarters	Headquarters city and region	San Francisco, CA
organizationType	Type of organization	Partnership
foundedYear	Year founded, when the page shows it	2010
specialties	List of specialties	["artificial intelligence and machine learning"]
followers	Number of LinkedIn followers	11883115
employeesOnLinkedIn	Number of LinkedIn members linked to the company	11191
address	Address object with the fields below, or null	{…}
address.street	Street address	354 Oyster Point Blvd
address.city	City	San Francisco
address.region	State or region	CA
address.postalCode	Postal code	94110
address.country	Country code	US
logo	Logo image link	https://media.licdn.com/dms/image/v2/…/openai_logo?…
scrapedAt	When the row was collected	2026-10-07T19:37:02.140Z
error	Only on error rows: why the company was not returned	Company page not found or not reachable

Examples come from real runs (OpenAI, and Stripe for tagline, foundedYear and address.street). Counts are real numbers, so you can sort and filter by followers or employeesOnLinkedIn in Excel or Google Sheets. Fields that a company page does not show come as null (or [] for specialties).

How to use LinkedIn Company Scraper

1. Open LinkedIn Company Scraper in Apify Console (sign in or create a free Apify account).
2. In Company URLs or slugs, paste LinkedIn company links or slugs, one per line. Hundreds of lines are fine.
3. Leave Proxy on the default Apify Proxy (datacenter proxies work).
4. Click Start. The log shows how many companies were returned.
5. Open the Output tab to see the table, then click Export to download the data as JSON, CSV, Excel or HTML.
6. Optional: save the input as a task and add a schedule (for example monthly) to track followers and employee counts over time.

Input

Field	Type	Default	Description
companies	array of strings	["https://www.linkedin.com/company/nubank", "openai"]	LinkedIn company URLs (linkedin.com/company/...) or just the slug, for example nubank.
proxy	object	{"useApifyProxy": true}	Apify Proxy settings (datacenter works).

There is no "max results" setting: each company in the list returns exactly one row (the company, or an error row). A plain slug can contain letters, numbers, underscores, dots, hyphens and %. Lines that are neither a slug nor a LinkedIn company link produce no row.

Example input:

{
  "companies": [
    "https://www.linkedin.com/company/nubank",
    "https://www.linkedin.com/company/stripe/about/",
    "openai",
    "natura"
  ],
  "proxy": {
    "useApifyProxy": true
  }
}

Output example

A real row from the latest run (the description and logo link are shortened):

{
  "name": "OpenAI",
  "linkedinUrl": "https://www.linkedin.com/company/openai",
  "tagline": null,
  "description": "OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity…",
  "website": "https://openai.com/",
  "industry": "Research Services",
  "companySize": "1,001-5,000 employees",
  "headquarters": "San Francisco, CA",
  "organizationType": "Partnership",
  "foundedYear": null,
  "specialties": ["artificial intelligence and machine learning"],
  "followers": 11883115,
  "employeesOnLinkedIn": 11191,
  "address": {
    "street": null,
    "city": "San Francisco",
    "region": "CA",
    "postalCode": "94110",
    "country": "US"
  },
  "logo": "https://media.licdn.com/dms/image/v2/D560BAQHpzXbqSyR74A/company-logo_200_200/B56ZT8EYB8HsAI-/0/1739395793272/openai_logo?…",
  "scrapedAt": "2026-10-07T19:37:02.140Z"
}

An error row looks like this and is not charged:

{
  "linkedinUrl": "https://www.linkedin.com/company/notarealcompany-xyz-123",
  "error": "Company page not found or not reachable"
}

How much does it cost?

LinkedIn Company Scraper uses pay per event pricing. You pay $3.00 per 1,000 companies returned ($0.003 per company) on the Free plan. Platform usage (compute and proxy) is included in that price.

Apify plan	Price per 1,000 companies
Free	$3.00
Bronze (10% off)	$2.70
Silver (20% off)	$2.40
Gold and higher (30% off)	$2.10

Worked examples on the Free plan:

• 100 target accounts for a sales campaign = $0.30
• 2,000 companies from a CRM export = $6.00
• 10,000 companies for a market map = $30.00 ($21.00 on Gold)

What you are not charged for:

• Error rows ("Company page not found or not reachable").
• Retries. A company that needs several tries is charged once, only if it is returned.
• Duplicate lines and lines that are not a slug or LinkedIn company link.

Use cases

• CRM enrichment. Add industry, size bracket, headquarters, website and LinkedIn followers to the accounts you already have.
• Ideal customer profile (ICP) lists. Filter a long list of companies by industry, companySize and address.country to keep only the accounts that fit.
• Competitor tracking. Run the same companies every month and follow followers and employeesOnLinkedIn as growth signals.
• Market and investment research. Build a table of the players in a sector with their size, founding year, organization type and specialties.
• Website discovery. Get each company's real website from its LinkedIn page, then find emails and phones with a contact scraper.
• Data cleaning. Find slugs that no longer work; they come back as error rows.
• Hiring context. Pair company data with the company's open roles from LinkedIn Jobs Scraper.

Tips and limits

• Public data only. The scraper sees what a logged-out visitor sees on the company page. It does not return employee names, people profiles, posts or job listings.
• Some fields are often empty. tagline, foundedYear and specialties are only filled when the page shows them to logged-out visitors. In recent runs, foundedYear was empty for several large companies. address comes from the page's structured data and may miss the street or postal code.
• Employees vs size. companySize is the bracket the company chose (like 5,001-10,000 employees). employeesOnLinkedIn is the number of LinkedIn members who list the company, so the two can differ.
• Specialties. The list is split on commas, so the last item can start with "and " when LinkedIn writes the list that way (for example and Biodiversidade).
• Use the exact slug. The company slug is not always the brand name (for example Magalu is magazine-luiza). Copy it from the company's LinkedIn URL. Duplicates are compared as written, so Stripe and stripe are looked up twice.
• Retries and the login wall. Each page gets up to 5 tries with a 30-second timeout. When LinkedIn sends the request to its login wall instead of the page, the scraper counts it as a failed try and tries again. If all tries fail or the page does not exist, you get an error row.
• Companies are processed one at a time. A long list simply takes longer. You can split a very large list into several runs.

Use it from the API, Python or JavaScript

JavaScript (Node.js) with the official apify-client package:

const { ApifyClient } = require('apify-client');

const client = new ApifyClient({ token: 'YOUR_TOKEN' });
const input = { companies: ['https://www.linkedin.com/company/nubank', 'openai'] };

(async () => {
    const run = await client.actor('juliob.rangel/linkedin-company-fast').call(input);
    const { items } = await client.dataset(run.defaultDatasetId).listItems();
    console.log(items);
})();

Python with the official apify-client package:

from apify_client import ApifyClient

client = ApifyClient('YOUR_TOKEN')
run_input = {'companies': ['stripe', 'natura', 'https://www.linkedin.com/company/totvs']}

run = client.actor('juliob.rangel/linkedin-company-fast').call(run_input=run_input)
items = client.dataset(run['defaultDatasetId']).list_items().items
for item in items:
    print(item.get('name'), item.get('industry'), item.get('employeesOnLinkedIn'), item.get('website'))

The scraper also works with Make, Zapier and n8n, can export results to Google Sheets, can call your webhook when a run finishes, and can be used by AI agents through the Apify MCP server.

FAQ

Do I need a LinkedIn account or cookies?

No. The scraper reads public company pages without logging in, so there is no risk to your own LinkedIn account. You only need an Apify account to run it.

Can I export LinkedIn company data to Excel or CSV?

Yes. After the run, open the Output tab and export the dataset as Excel, CSV, JSON or HTML, or read it through the API.

How many companies can I scrape in one run?

There is no fixed cap in the scraper. Each line in companies returns one row, and companies are fetched one after another, so bigger lists take longer.

Is it legal to scrape LinkedIn company pages?

The scraper only collects publicly available company data. You are responsible for complying with LinkedIn's terms and with privacy laws such as GDPR and LGPD. If you combine company data with personal data, you need a legitimate reason to process it.

Why did I get a row with an error field?

The slug does not exist on LinkedIn, or LinkedIn did not show the page after 5 tries (for example, it kept sending the request to the login wall). Error rows are not charged. Check the slug in the company's URL and run it again later.

Does it return employee lists or emails?

No. It returns company-level data only. Use the website field with Website Contact Details Scraper to find emails and phones.

Can I search companies by keyword?

No. The input is a list of company URLs or slugs. Find the companies first (for example in your CRM or from job postings), then paste their LinkedIn links.

Related scrapers

• LinkedIn Jobs Scraper (No Login, Fast)
• Website Contact Details Scraper (Emails, Phones, Socials)
• Google Maps Email Extractor (Leads with Emails & Socials)
• Career Site Jobs: Greenhouse, Lever, Ashby, Workable
• Google Maps Scraper (Places, Phones, Websites, Ratings)

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