LinkedIn Companies Scraper

LinkedIn Companies Scraper is a fast, cost-efficient LinkedIn company profile scraper for B2B lead generation, prospecting, recruiting, sourcing, and market research. Use keywords to discover public LinkedIn company profiles and extract clean company data: company names, LinkedIn company IDs, numeric organization IDs, URLs, descriptions, logos, websites, follower counts, employee counts, industries, headquarters, specialties, funding data, and firmographic fields when available.

This actor is especially useful when you need high-volume LinkedIn company data extraction without slow, expensive scraping workflows. It focuses on the fields that matter most for sales teams, recruiters, founders, investors, data teams, and growth teams building account lists or B2B lead lists.

Why Use This Actor

• Fast LinkedIn company profile scraping from any keyword, industry, niche, company type, or location.
• Lower cost per result by focusing on lightweight company discovery and public profile enrichment.
• Clean company names and URLs ready for CRM imports, enrichment tools, account lists, or outreach workflows.
• LinkedIn company IDs extracted from URLs for deduplication and matching.
• Useful firmographic fields such as industry, company size, headquarters, company type, founded year, specialties, website, followers, employee count, logo, cover image, and funding data when present publicly.
• Simple, structured output focused on B2B lead generation, company prospecting, and market mapping.

Best Use Cases

• Build targeted B2B account lists from keywords like fintech startups london, ai healthcare companies, or cybersecurity vendors germany.
• Find LinkedIn company URLs for companies in an industry, geography, niche, or market segment.
• Collect LinkedIn company profile data for CRM enrichment, sales intelligence, recruiting, sourcing, and outbound prospecting.
• Create company prospecting datasets for sales, partnerships, sourcing, recruiting, investment research, competitive analysis, or market mapping.
• Quickly test company availability and market size for a keyword segment.

Input Parameters

Field	Type	Required	Description
query	String	No	Optional keyword or phrase used to discover relevant public LinkedIn companies. Leave empty for a broad company search on the selected LinkedIn domain.
domain	String	No	LinkedIn domain to target. Choose linkedin.com for any LinkedIn domain, www.linkedin.com for main global results only, or one of the localized country-code domains from the dropdown, such as es.linkedin.com, ca.linkedin.com, uk.linkedin.com, fr.linkedin.com, or de.linkedin.com.
maxItems	Integer	Yes	Maximum number of companies to save.

LinkedIn Domain

Use domain to choose which LinkedIn domain the actor should target:

• linkedin.com for broad discovery across any LinkedIn domain, including localized subdomains.
• www.linkedin.com for main global company discovery only.
• Localized country-code domains such as us.linkedin.com, uk.linkedin.com, es.linkedin.com, fr.linkedin.com, de.linkedin.com, ca.linkedin.com, au.linkedin.com, or in.linkedin.com for country-focused discovery.

The actor includes a dropdown with Any LinkedIn domain (linkedin.com), Global main site (www.linkedin.com), and all validated LinkedIn country-code domains. Localized options are labeled with the country or territory name plus the exact domain, for example Spain (es.linkedin.com) or United States (us.linkedin.com).

Example Input

{
  "query": "fintech startups san francisco",
  "domain": "linkedin.com",
  "maxItems": 100
}

For a localized search, select one of the country domains:

{
  "query": "renewable energy companies madrid",
  "domain": "es.linkedin.com",
  "maxItems": 100
}

Output

Each dataset item contains a public LinkedIn company URL and structured fields derived from publicly visible discovery data.

{
  "id": "stripe",
  "linkedinId": "2135371",
  "url": "https://www.linkedin.com/company/stripe",
  "name": "Stripe",
  "tagline": "Help increase the GDP of the internet.",
  "followers": "1,440,947 followers",
  "employeeCount": "15,437 employees",
  "industry": "Software Development",
  "companySize": "1001-5000 employees",
  "headquarters": "South San Francisco, California",
  "type": "Privately Held",
  "founded": "2010",
  "specialties": "Payments, Financial Services, APIs",
  "website": "https://stripe.com",
  "fundingRounds": "20 total rounds",
  "lastFunding": "Series I",
  "lastFundingDate": "2023-03-15",
  "crunchbaseUrl": "https://www.crunchbase.com/organization/stripe",
  "image": "https://media.licdn.com/...",
  "coverImage": "https://media.licdn.com/...",
  "description": "Stripe is a financial infrastructure platform for businesses..."
}

Output Fields

• id: LinkedIn company identifier from the company URL.
• linkedinId: Numeric LinkedIn organization ID when visible publicly.
• url: Canonical public LinkedIn company URL.
• name: Company name parsed from the public page title.
• tagline: Short company tagline when visible publicly.
• followers: LinkedIn follower count when visible publicly.
• employeeCount: Employee count shown by LinkedIn when visible publicly.
• industry: Company industry when present in public discovery data.
• companySize: Company size range when present in public discovery data.
• headquarters: Headquarters location when present in public discovery data.
• type: Company type when present in public discovery data.
• founded: Founded year when visible publicly.
• specialties: Company specialties when visible publicly.
• website: Company website when visible publicly.
• fundingRounds: Total funding rounds when LinkedIn shows public funding data.
• lastFunding: Last funding round type when LinkedIn shows public funding data.
• lastFundingDate: Last funding round date when LinkedIn shows public funding data.
• crunchbaseUrl: Public Crunchbase URL when LinkedIn shows a funding widget.
• image: Company logo URL when visible publicly.
• coverImage: Company cover image URL when visible publicly.
• description: Short public description associated with the company.

Tips For Better Results

• Use industry plus context: fintech startups, machine learning companies healthcare, cybersecurity vendors.
• Add geography when relevant: saas companies berlin, recruiting agencies new york, logistics startups singapore.
• Use the LinkedIn domain dropdown for country-specific discovery. Choose linkedin.com for broad results across any LinkedIn domain, www.linkedin.com for main global results only, or a localized domain such as es.linkedin.com, fr.linkedin.com, de.linkedin.com, ca.linkedin.com, uk.linkedin.com, au.linkedin.com, or in.linkedin.com when the target market matters.
• Run multiple focused queries instead of one very broad query for cleaner segmentation.
• Increase maxItems when mapping larger markets or building broader company lead lists.

Performance Notes

This LinkedIn company scraper is optimized for speed and cost efficiency. It focuses on company discovery and lightweight enrichment, which makes it a strong fit for collecting company names, LinkedIn IDs, LinkedIn company URLs, websites, logos, follower counts, employee counts, and firmographic data at scale.

For workflows that need emails, employee counts, funding, technologies, or deeper firmographic enrichment, use this actor as the first step and pass the resulting company URLs into your enrichment pipeline.