LinkedIn Company Scraper

Scrape public LinkedIn company pages and extract structured data -- no login required. Get company name, description, industry, size, headquarters, website, specialties, and more from any publicly visible LinkedIn company page.

What does LinkedIn Company Scraper do?

This actor takes a list of LinkedIn company URLs or company names and extracts structured data from their public company pages. It only accesses information that is visible to anyone on the internet without a LinkedIn account.

Important: This actor scrapes PUBLIC company pages only (linkedin.com/company/xxx). It does NOT access personal profiles, private data, or any information behind LinkedIn's login wall.

Features

• Scrape by direct LinkedIn URL or company name (auto-resolves via search)
• Extracts 14+ data fields per company
• Handles LinkedIn's auth modals and anti-bot protections
• Human-like browsing with randomized delays and fingerprinting
• Session rotation and residential proxy support
• Clean, structured JSON output
• Robust error handling with retries

Input

Field	Type	Description	Default
companyUrls	Array of strings	LinkedIn company page URLs	[]
companyNames	Array of strings	Company names to search for	[]
maxResults	Integer	Maximum companies to scrape	10
proxyConfiguration	Object	Proxy settings (residential recommended)	Apify residential

Example input

{
    "companyUrls": [
        "https://www.linkedin.com/company/google/",
        "https://www.linkedin.com/company/microsoft/"
    ],
    "companyNames": [
        "Apple",
        "Tesla"
    ],
    "maxResults": 10
}

Output

Each company is stored as a separate item in the default dataset with these fields:

Field	Type	Description
companyName	String	Official company name
tagline	String	Company tagline/headline
description	String	Full "About" description
website	String	Company website URL
industry	String	Primary industry
companySize	String	Raw company size text
employeeCountRange	String	Employee count range (e.g., "10,001+")
employeesOnLinkedIn	Integer	Number of employees with LinkedIn profiles
headquarters	String	HQ location
foundedYear	Integer	Year the company was founded
companyType	String	Public, Private, Nonprofit, etc.
specialties	Array	List of company specialties/tags
linkedinUrl	String	Canonical LinkedIn company URL
logoUrl	String	Company logo image URL
followers	Integer	Number of LinkedIn followers
associatedCompanies	Array	Affiliated/subsidiary companies
scrapedAt	String	ISO timestamp of when data was collected
inputCompanyName	String	Original search term (if searched by name)

Sample output

{
    "companyName": "Google",
    "tagline": "A Alphabet Inc. subsidiary",
    "description": "Google's mission is to organize the world's information and make it universally accessible and useful...",
    "website": "https://about.google",
    "industry": "Technology, Information and Internet",
    "companySize": "10,001+ employees",
    "employeeCountRange": "10,001+",
    "employeesOnLinkedIn": 350000,
    "headquarters": "Mountain View, California",
    "foundedYear": 1998,
    "companyType": "Public Company",
    "specialties": ["search", "ads", "mobile", "android", "online video", "apps", "machine learning", "virtual reality", "cloud", "hardware", "artificial intelligence", "youtube"],
    "linkedinUrl": "https://www.linkedin.com/company/google",
    "logoUrl": "https://media.licdn.com/dms/image/...",
    "followers": 33000000,
    "associatedCompanies": [
        { "name": "YouTube", "url": "https://www.linkedin.com/company/youtube" },
        { "name": "Google Cloud", "url": "https://www.linkedin.com/company/google-cloud" }
    ],
    "scrapedAt": "2026-03-27T10:30:00.000Z",
    "inputCompanyName": "Google"
}

Use cases

• Sales & lead generation: Build prospect lists with verified company data
• Market research: Analyze competitors, industry landscape, and company growth
• Recruitment intelligence: Understand company sizes and specialties before outreach
• Investment research: Screen companies by size, type, industry, and founding year
• CRM enrichment: Enrich your CRM records with fresh LinkedIn company data
• Academic research: Gather structured company data for analysis

Performance and cost

• Speed: ~5-10 companies per minute (throttled intentionally for reliability)
• Compute units: Approximately 0.05-0.1 CU per company
• Proxy cost: Residential proxies are recommended; ~0.5-1 MB per company page
• Reliability: Public pages are accessible without login; some fields may be empty if LinkedIn hides them for non-authenticated users

Tips

1. Use direct URLs when possible. Providing LinkedIn company URLs directly is faster and more reliable than name search.
2. Residential proxies are essential. LinkedIn aggressively blocks datacenter IPs. The default configuration uses Apify residential proxies.
3. Start small. Test with 2-3 companies first to verify the output meets your needs.
4. Rate limits. The actor intentionally throttles requests. Do not increase concurrency or it will trigger LinkedIn's anti-bot systems.

Limitations

• Only extracts data from public company pages visible without login
• Some fields may be partially hidden by LinkedIn for non-authenticated visitors
• LinkedIn frequently changes their page structure; the actor may need updates
• Very high-volume scraping (hundreds of companies) should be run in batches
• Does NOT scrape personal profiles, job listings, or posts

Legal notice

This actor only accesses publicly available data that LinkedIn makes visible to non-authenticated visitors. Users are responsible for ensuring their use of this data complies with applicable laws, regulations, and LinkedIn's Terms of Service. This tool is intended for legitimate business purposes only.