LinkedIn Company Enrichment API — No Login Required

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Extract comprehensive LinkedIn company profiles, key employees by seniority/department, engagement metrics, and AI-powered enrichment data. No login, no cookies, no LinkedIn account needed.

Why this actor?

Proxycurl shut down in July 2025 after LinkedIn litigation, leaving 10,000+ customers without a company enrichment API. This actor fills that gap at 50-80% lower cost with additional AI-powered features.

What you get

For each company, the actor returns:

Company Profile

• Name, website, industry, description, tagline
• Company size, exact employee count on LinkedIn
• Headquarters, all office locations
• Founded year, company type (public/private)
• Specialties, logo URL

Engagement Metrics

• LinkedIn follower count
• Recent post engagement averages
• Job openings count (when available)

Key Employees (optional)

• Filter by seniority: C-Suite, VP, Director, Head of, Manager
• Filter by department: Engineering, Sales, Marketing, HR, Finance, Product, Operations, Legal
• Returns: name, title, LinkedIn URL, classified department

AI Enrichment (optional, requires Anthropic API key)

• ICP Score (1-10): How well does this company match your Ideal Customer Profile?
• Competitive Landscape: Likely competitors based on industry analysis
• Growth Assessment: rapid_growth / steady_growth / stable / declining / uncertain
• Outreach Angles: 2-3 personalized conversation starters based on the company's activity

How to use

Input examples

Basic — company URLs:

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

Search by name:

{
"companyNames":["Stripe","Figma","Notion"],
"extractEmployees":true,
"employeeSeniority":["c_suite","vp"],
"maxEmployeesPerCompany":5
}

Full enrichment with AI:

{
"companyUrls":["https://www.linkedin.com/company/stripe"],
"extractEmployees":true,
"employeeSeniority":["c_suite","vp","director"],
"employeeDepartments":["engineering","product"],
"maxEmployeesPerCompany":10,
"enableAiEnrichment":true,
"icpDescription":"B2B SaaS companies with 200-5000 employees that use cloud infrastructure and are hiring engineers",
"anthropicApiKey":"sk-ant-..."
}

Output format

{
"company":{
"name":"Stripe",
"linkedin_url":"https://www.linkedin.com/company/stripe",
"website":"stripe.com",
"industry":"Financial Technology",
"company_size":"5,001-10,000",
"employee_count_linkedin":8547,
"headquarters":"San Francisco, CA, US",
"founded_year":2010,
"company_type":"Privately Held",
"specialties":["Payments","SaaS","Financial Infrastructure"],
"description":"...",
"logo_url":"https://...",
"tagline":"..."
},
"metrics":{
"follower_count":1250000,
"employee_growth_6mo_pct":null,
"job_openings_count":null,
"recent_posts_engagement_avg":1523
},
"key_people":[
{
"name":"Patrick Collison",
"title":"Co-founder & CEO",
"linkedin_url":"https://linkedin.com/in/patrickcollison",
"department":"Executive"
}
],
"key_people_count":8,
"locations":[
{"city":"San Francisco","country":"US","is_headquarters":true}
],
"recent_updates":[
{
"date":"2026-04-10",
"text":"We're hiring across...",
"likes":234,
"comments":45
}
],
"ai_enrichment":{
"icp_score":8,
"icp_reasoning":"Mid-stage fintech with 5K+ employees, actively hiring engineering — strong fit for DevOps tooling",
"likely_competitors":["Adyen","Square","Braintree"],
"growth_assessment":"rapid_growth",
"outreach_angles":[
"Recent VP Engineering hire suggests infrastructure scaling — DevOps tooling pitch",
"247 open roles indicates budget for new tools — cost optimization angle",
"Strong engineering culture + fintech compliance needs — security tooling angle"
]
},
"scraped_at":"2026-04-12T10:00:00Z"
}

Pricing (Pay Per Event)

Plus standard Apify platform compute costs (~$0.002-0.005/company with residential proxies).

Example: Enriching 100 companies with employees = $0.01 + (100 x $0.015) = $1.51

Use cases

• Sales prospecting: Enrich your CRM with company data and find the right decision-makers
• Market research: Map competitive landscapes across industries
• Recruiting: Identify companies by size, growth, and leadership structure
• Lead scoring: Use AI ICP matching to prioritize outreach
• CRM enrichment pipelines: Feed structured company data into HubSpot, Salesforce, Pipedrive via Apify integrations

Integrations

This actor works with all Apify integrations:

• Webhooks — trigger when run completes
• API — call programmatically from any language
• Zapier / Make / n8n — connect to 1000+ apps
• Google Sheets — export directly to spreadsheets
• Slack — get notifications on completion

Proxy configuration

Residential proxies are strongly recommended for LinkedIn. The actor defaults to Apify's RESIDENTIAL proxy group. Using datacenter proxies will result in significantly higher block rates.

Technical details

• Async Python implementation with stealth-mode browsing
• Residential proxy rotation with session management
• Smart pacing between requests to avoid detection
• Exponential backoff retry (5 attempts) on failures
• Graceful degradation: missing fields return null, never crash
• Target success rate: 85%+

Limitations

• LinkedIn actively blocks automated access — occasional failures are expected
• Employee data depends on what's publicly visible on the company's People tab
• AI enrichment requires your own Anthropic API key (get one at console.anthropic.com)
• Some very small companies may have limited public data
• Rate: ~10-20 companies per minute with residential proxies

Legal

• Extracts only publicly visible company information (no login required)
• Does not access personal data beyond publicly listed professional information
• GDPR: professional business context under legitimate interest basis
• Does not store or cache LinkedIn data — output goes directly to your Apify dataset

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Found a bug or want a feature? Open an Issue — typically fixed within 48 hours.