LinkedIn Company Scraper: firmographics from company URLs or names

Turn a list of companies into clean LinkedIn company data: website, industry, size, headquarters, founded year, followers, employees on LinkedIn, office locations, similar companies and recent posts.

Paste LinkedIn URLs, vanity names (stripe), numeric company IDs or URLs (https://www.linkedin.com/company/1035, common in CRM and Sales Navigator exports), or plain company names (Northrop Grumman). Names are matched with LinkedIn's own company search, and the matched name is returned so you can check it. You don't need a LinkedIn account or cookies.

Who uses this

• Sales and RevOps teams. Enrich CRM accounts with size, industry, HQ and website before routing or scoring.
• Lead-gen agencies. Build and qualify account lists from a spreadsheet of company names.
• Investors and analysts. Track follower and employee counts over time by scheduling a run, and map competitors through "similar pages".
• Data and AI developers. Call it from your app, Make, Zapier or an AI agent through Apify's API or MCP.

What you get

Field	Example
name, linkedin_url, slug, company_id	Stripe · https://www.linkedin.com/company/stripe · stripe · 2135371
website	https://stripe.com
industry	Technology, Information and Internet
company_size	5,001-10,000 employees
headquarters, address, locations[]	South San Francisco, California + every listed office
organization_type, founded	Privately Held · 2010
followers	1,730,479
employees_on_linkedin	16,585
tagline, description, specialties[]	About text and declared specialties
logo_url	Logo image
similar_pages[], affiliated_pages[]	Competitors and showcase pages ({name, url, subtitle})
recent_posts[]	Latest public posts (text, date, likes, URL)
jobs_search_url	LinkedIn job search filtered to this company
input, match_method, matched_name	Shows how each input was matched

A field is empty only when the company left it blank on LinkedIn.

Input

Parameter	Description	Default
Companies	One per line: company or showcase URL, vanity name, numeric company ID/URL, or company name	required
Resolve company names	Match plain names with LinkedIn's company search	on
Include recent posts	Add latest posts shown on the page	on
Parallel lookups	Companies fetched at once (1–8)	3
Proxy (fallback)	Used only if LinkedIn starts throttling the run	off

Example input

{
  "companies": [
    "https://www.linkedin.com/company/stripe",
    "openai",
    "Northrop Grumman"
  ]
}

Example output (shortened)

{
  "input": "Northrop Grumman",
  "match_method": "name:typeahead+jobs",
  "matched_name": "Northrop Grumman",
  "company_id": "1412",
  "name": "Northrop Grumman",
  "linkedin_url": "https://www.linkedin.com/company/northrop-grumman-corporation",
  "website": "https://www.northropgrumman.com/",
  "industry": "Defense and Space Manufacturing",
  "company_size": "10,001+ employees",
  "headquarters": "Falls Church, VA",
  "organization_type": "Public Company",
  "followers": 1808538,
  "employees_on_linkedin": 87850,
  "specialties": ["engineering", "information technology", "electronics"],
  "similar_pages": [{"name": "Lockheed Martin", "url": "https://www.linkedin.com/company/lockheed-martin", "subtitle": "Defense and Space Manufacturing · Bethesda, MD"}],
  "scraped_at": "2026-09-26T12:31:18Z"
}

Failed lookups

Inputs that can't be matched or fetched are not written to the dataset. They are listed with the reason in the run's FAILED_INPUTS record (Storage → Key-value store). The SUMMARY record has run totals.

Typical failures:

• a name with no LinkedIn company match
• a deleted page
• a LinkedIn school URL (school pages are only shown to signed-in visitors)

Scheduling and integrations

• Schedule a weekly run on the same list to build a time series of followers and employees.
• Webhooks, Make, Zapier, Google Sheets, Airtable, S3. Use any Apify integration to push rows where you need them.
• API: POST https://api.apify.com/v2/acts/<username>~linkedin-company-scraper/run-sync-get-dataset-items with the input above.

Use with AI agents (MCP)

Add this actor to the Apify MCP server (https://mcp.apify.com) and an assistant such as Claude or Cursor can enrich company names on request. For example: "Look up these 20 prospects on LinkedIn and give me their size and HQ."

FAQ

Do I need a LinkedIn account or cookies? No. The actor reads the same public company pages anyone sees when logged out. Your account is never at risk because none is used.

How accurate is name matching? Names go through LinkedIn's own company search, and the top match is used. matched_name and match_method show exactly what was matched. Use URLs or vanity names when you need certainty.

Why is founded or specialties empty for some companies? Those fields are optional on LinkedIn. If the company didn't fill them in, they are empty.

Can it scrape employees, people or contact details? No. It returns company-level public data only. People lists and contact details require signing in.

How fresh is the data? Live. Every run fetches the current public page. Nothing comes from a cached database.

Is scraping LinkedIn legal? The actor collects publicly visible company information without logging in. Check that your use complies with the laws that apply to you and with LinkedIn's terms, especially if you process personal data.

What about large lists? Thousands of companies per run are fine. Keep parallel lookups low (3 is the default), and enable the proxy fallback for very large lists. The run checkpoints its progress, so a migrated run resumes without duplicate rows.