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 provided. key_people comes back empty; company-level fields are unaffected. 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.

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
• Account notes (outreach_angles field): 2-3 short notes on the company's recent 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 — a company that cannot be read does not stop the others:

{
  "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
• Account scoring: Use AI ICP matching to rank companies against your ideal customer profile
• 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

The input form is prefilled with Apify's RESIDENTIAL proxy group.

Technical details

• Async Python implementation
• Up to 2 attempts per company; a company that still fails is skipped and not charged
• Graceful degradation: missing fields return null

Limitations

• Some company pages cannot be read on a given run; those companies are not charged
• Key employees are not provided (key_people comes back empty)
• 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

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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• Phone Number Validator — Bulk carrier, line type and country lookup
• Domain Authority Checker — Score prospect websites in bulk for lead qualification

B2B competitive intelligence:

• G2 Reviews Scraper — Software reviews and competitor research
• Capterra Reviews Scraper — Software ratings, pros/cons, alternatives

Adjacent intelligence (alt-data):

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

Not affiliated with, endorsed by or sponsored by LinkedIn. Names are used only to describe the data source.

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