LinkedIn Company Enrichment API — No Login Required

Turn LinkedIn company URLs into structured company records — profile, locations, follower count, recent posts — with optional AI enrichment. No login, no cookies, no LinkedIn account needed.

Employee lists are not available right now. LinkedIn puts the /people/ tab behind a login wall (HTTP 999) even through a residential proxy, so key_people comes back empty. Company-level fields are unaffected. The extractEmployees / employeeSeniority / employeeDepartments inputs are kept for when that path reopens — leave extractEmployees off. Verified 2026-07-29.

What you get

For each company, the actor returns:

Company Profile

• Name, website, industry, description, tagline
• Company size band, headquarters and all office locations
• Founded year, company type (public/private)
• Specialties, logo URL

Engagement Metrics

• LinkedIn follower count
• Recent posts and their engagement
• Job openings count (when available)

Some fields depend on what a given company page exposes publicly — employee_count_linkedin, for instance, is often absent. Fields the page does not publish come back null rather than guessed.

Key Employees — currently unavailable

LinkedIn serves the /people/ tab only to logged-in sessions (HTTP 999), so key_people returns empty and key_people_count is 0. The seniority/department inputs remain in the schema for when that changes.

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"
  ]
}

Several companies in one run — each is fetched on its own proxy session, so one blocked company does not cost you the rest:

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

Full enrichment with AI:

{
  "companyUrls": ["https://www.linkedin.com/company/stripe"],
  "enableAiEnrichment": true,
  "icpDescription": "B2B SaaS companies with 200-5000 employees that use cloud infrastructure and are hiring engineers",
  "anthropicApiKey": "sk-ant-..."
}

companyNames (resolving a name to a LinkedIn page via search) is not working — it returns no companies. Pass companyUrls instead. Verified 2026-07-29.

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": null,
    "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": [],
  "key_people_count": 0,
  "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)

Event	Price	When charged
Company record	$0.008	Once per company row delivered to the dataset
Company with key employees	$0.015	Added only when the delivered row has key employees (key_people not empty) — currently never, see above
Company — AI enriched	$0.035	Added instead of the above only when Claude enrichment ran and returned a result
Actor started	$0.01 per GB	Every run, even if 0 results. The default is 4 GB, so $0.04 per run

A company that cannot be read (blocked, or the URL is not a company page) is not charged.

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

Example: enriching 100 companies in one run = $0.04 (start, 4 GB) + 100 x $0.008 = $0.84; with AI enrichment returning a result for all 100, $0.04 + 100 x ($0.008 + $0.035) = $4.34. A run that enriches nothing still costs the $0.04 start fee.

Ready-made example

Enrich a list of companies from LinkedIn — four company URLs in one run, no configuration. Click Start and it runs.

Use cases

• Sales prospecting: Enrich your CRM with company data
• Market research: Map competitive landscapes across industries
• Recruiting: Identify companies by size, industry and location
• 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
• Residential proxy rotation with session management
• Exponential backoff retry (5 attempts) on failures
• Graceful degradation: missing fields return null

Limitations

• LinkedIn actively blocks automated access — occasional failures are expected
• Key employees are not available while LinkedIn keeps the People tab behind its login wall
• 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
• You are responsible for having a lawful basis (e.g. under GDPR) for how you use this data
• Does not store or cache LinkedIn data — output goes directly to your Apify dataset

Other actors by zhorex

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• Capterra Reviews Scraper — Software ratings, pros/cons, alternatives

Adjacent intelligence (alt-data):

• Hyperliquid Pro Scraper — DeFi leaderboard, wallet positions
• Weibo Scraper — Chinese microblog sentiment

Found a bug or want a feature? Open an Issue on the Actor page.