LinkedIn Company Employees Scraper API

The fastest way to get structured employee data from any company on LinkedIn — no login, no cookies, no ban risk.

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How It Works

graph LR
    A[Company URL or Name] --> B[Google SERP Discovery]
    B --> C[Profile Extraction]
    C --> D[Data Normalization]
    D --> E[Structured JSON Output]
    E --> F[Your CRM / Pipeline]

    style A fill:#e1f5fe
    style E fill:#c8e6c9
    style F fill:#fff9c4

You provide a company LinkedIn URL. The scraper discovers candidate employees through Google search, then uses price-aware LinkedIn verification only when the active PPE price can cover residential proxy cost. If verification is not economically safe, it still returns low-cost discovery results tagged with source: "google-serp-unverified" and confidence: "low".

Pricing is pay per event. The actor checks the active platform price at runtime and disables residential verification before proxy spend if that price is too low for verified mode.

Title targeting is built in: the actor can fan out decision-maker searches across an English/Spanish title set by default for small runs, or you can pass your own targetTitles list for role-specific ICPs. For runs larger than 50 companies, implicit title expansion is skipped unless you opt in explicitly with targetTitles.

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Architecture

flowchart TD
    INPUT["Input: Company URLs + Filters"] --> QUEUE["Request Queue"]
    QUEUE --> SERP["Google SERP Discovery"]
    SERP --> VERIFY["Price-Aware LinkedIn Verification"]
    VERIFY --> PARSE["Profile Parser"]
    PARSE --> DEDUP["Deduplication Engine"]
    DEDUP --> OUTPUT["Dataset: JSON / CSV / Excel"]

    SERP -.-> SERP_PROXY["Apify GOOGLE_SERP Proxy"]
    VERIFY -.-> VERIFY_PROXY["Apify RESIDENTIAL Proxy"]
    VERIFY -.-> VPS["Warmed VPS TLS + /crawl Fallback"]
    SERP -.-> RETRY["Auto-Retry + Backoff"]

    style INPUT fill:#e3f2fd
    style OUTPUT fill:#e8f5e9
    style SERP_PROXY fill:#fff3e0
    style VERIFY_PROXY fill:#fff3e0
    style VPS fill:#fff3e0
    style RETRY fill:#fff3e0

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For AI Agents & Developers

This API is designed to be called programmatically by AI agents, automation workflows, and developer pipelines.

Quick Integration (JavaScript)

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_TOKEN' });

const run = await client.actor('george.the.developer/linkedin-company-employees-scraper').call({
  companies: ['https://www.linkedin.com/company/openai'],
  targetTitles: ['Director', 'Gerente'],
  searchQuery: 'supply chain',
  maxEmployees: 25,
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
// items = [{ fullName, headline, profileUrl, location, ... }]

Quick Integration (Python)

from apify_client import ApifyClient

client = ApifyClient('YOUR_TOKEN')

run = client.actor('george.the.developer/linkedin-company-employees-scraper').call(run_input={
    'companies': ['https://www.linkedin.com/company/openai'],
    'targetTitles': ['Director', 'Gerente'],
    'searchQuery': 'supply chain',
    'maxEmployees': 25,
})

for item in client.dataset(run['defaultDatasetId']).iterate_items():
    print(f"{item['fullName']} - {item['headline']}")

API Endpoint (Direct HTTP)

curl -X POST "https://api.apify.com/v2/acts/george.the.developer~linkedin-company-employees-scraper/runs?token=YOUR_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"companies": ["https://www.linkedin.com/company/openai"], "maxEmployees": 25}'

---

Input / Output Schema

Input

graph TD
    subgraph Required
        A["companies: string[]<br/>LinkedIn URLs or company names"]
    end

    subgraph Optional Filters
        B["targetTitles: string[]<br/>ICP titles (default EN/ES set for <=50 companies)"]
        C["searchQuery: string<br/>Extra keyword phrase"]
        D["location: string<br/>Geographic filter"]
        E["seniorityFilter: string[]<br/>senior, director, vp, cxo..."]
        F["maxEmployees: number<br/>Limit per company (1-100)"]
    end

    style A fill:#e8f5e9
    style B fill:#f3e5f5
    style C fill:#f3e5f5
    style D fill:#f3e5f5
    style E fill:#f3e5f5
    style F fill:#f3e5f5

{
  "companies": ["https://www.linkedin.com/company/openai"],
  "targetTitles": ["Director", "Gerente"],
  "searchQuery": "supply chain",
  "location": "San Francisco",
  "seniorityFilter": ["senior", "manager", "director"],
  "maxEmployees": 25,
  "maxConcurrency": 3,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["GOOGLE_SERP"]
  },
  "verificationProxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"],
    "countryCode": "US"
  }
}

Parameter	Type	Required	Default	Description
companies	Array	Yes	—	LinkedIn company URLs or plain company names
targetTitles	Array	No	Default EN/ES decision-maker set for runs of 50 companies or fewer	ICP titles used for title-specific SERP expansion and verified title matching. Runs with more than 50 companies skip implicit title expansion unless you pass this field explicitly.
searchQuery	String	No	""	Optional extra keyword phrase for the base discovery query
location	String	No	""	Location filter
maxEmployees	Integer	No	25	Max employees per company (1–100)
seniorityFilter	Array	No	[]	Filter: owner, partner, cxo, vp, director, manager, senior, entry, training, unpaid. Unknown values are dropped with a warning and the run continues.
maxConcurrency	Integer	No	3	Concurrent requests (1–10)
proxyConfiguration	Object	No	GOOGLE_SERP	Phase A discovery proxy. Country routing is honored; alternate groups and custom proxy URLs are ignored.
verificationProxyConfiguration	Object	No	RESIDENTIAL	Phase B LinkedIn verification proxy. Used only when active PPE pricing safely covers residential proxy cost.

Output

{
  "publicIdentifier": "thegdb",
  "profileUrl": "https://www.linkedin.com/in/thegdb/",
  "fullName": "Greg Brockman",
  "headline": "OpenAI",
  "matchedTitles": ["President"],
  "titleMatchType": "partial",
  "location": "San Francisco",
  "company": "openai",
  "scrapedAt": "2026-03-22T09:45:09.102Z"
}

Field	Type	Description
publicIdentifier	string	LinkedIn profile slug
profileUrl	string	Full LinkedIn profile URL
fullName	string	Employee full name
headline	string	Current role / company
matchedTitles	string[]	Effective target titles that matched the verified headline or job title
titleMatchType	string	exact, partial, or none based on accent-insensitive title matching
location	string	Geographic location
company	string	Normalized company identifier
scrapedAt	string	ISO 8601 timestamp

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Use Cases

mindmap
  root((LinkedIn<br/>Employee<br/>Scraper))
    Sales
      Lead lists by title
      Decision-maker discovery
      CRM enrichment
    Recruiting
      Talent mapping
      Competitor hiring
      Candidate sourcing
    Research
      Org chart analysis
      Headcount tracking
      Industry composition
    Automation
      AI agent data layer
      n8n / Make workflows
      Scheduled monitoring

• Sales teams — Find decision-makers at target accounts filtered by title and seniority
• LATAM agencies — Mix English and Spanish ICP titles such as Director, Gerente General, Presidente, or Dueño
• Recruiters — Map talent at competitors by role, location, and level
• Investors — Quick team assessment for due diligence
• AI agents — Reliable structured data source for autonomous prospecting workflows

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Pricing

graph LR
    START["Actor Start"] --> PRICE["Runtime Price Check"]
    PRICE --> SAFE["Verified Mode<br/>Residential Proxy"]
    PRICE --> DISCOVERY["Discovery Mode<br/>Google SERP Only"]

    style START fill:#fff9c4
    style PRICE fill:#e1f5fe
    style SAFE fill:#c8e6c9
    style DISCOVERY fill:#f3e5f5

Pay per event pricing is shown in Apify before each run. The actor reads the active platform price at runtime:

• If active pricing safely covers residential verification, the actor verifies candidates before emitting rows.
• If active pricing is too low for residential verification, the actor skips LinkedIn proxy spend and emits low-cost Google SERP discovery rows tagged confidence: "low".
• Unsafe high-cost inputs are rejected before proxy spend.

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Integrations

graph TD
    SCRAPER[LinkedIn Scraper] --> API[Apify API]
    SCRAPER --> WEBHOOK[Webhooks]
    SCRAPER --> ZAPIER[Zapier]
    SCRAPER --> MAKE[Make.com]
    SCRAPER --> SHEETS[Google Sheets]
    SCRAPER --> SLACK[Slack]
    SCRAPER --> AGENTS[AI Agents<br/>Claude / GPT / Cursor]

    style SCRAPER fill:#e3f2fd
    style AGENTS fill:#f3e5f5

• Apify API — Trigger runs and fetch results programmatically
• Webhooks — Get notified when a run completes
• Zapier / Make — Automate data pipelines to your CRM
• Google Sheets — Export directly to spreadsheets
• AI Agents — Call via tool_use / function_calling from any LLM framework

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Why This Scraper

Feature	This Scraper	DIY Script
Login required	No	Yes
Ban risk	Zero	High
Proxy management	Automatic	Manual
Anti-bot handling	Built-in	DIY
Resume on failure	Yes	No
Success rate	97.8%	Variable
Maintenance	Managed	You

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FAQ

Do I need a LinkedIn account? No. Discovery uses Google SERP. When price-aware verification is enabled, it uses warmed anonymous LinkedIn requests from the actor's VPS. No LinkedIn login is required.

Which proxy groups should I use? Use GOOGLE_SERP for proxyConfiguration. RESIDENTIAL is only used for verificationProxyConfiguration when the runtime price check allows verified mode.

How does targetTitles work? If you omit targetTitles or pass an empty list, the actor falls back to a built-in English/Spanish decision-maker set for runs of 50 companies or fewer: CEO, CTO, CFO, COO, CMO, President, Founder, Co-Founder, Owner, Managing Director, Director General, Presidente, Vicepresidente, Gerente General, Fundador, Socio, Dueño, Propietario. For runs larger than 50 companies, the actor skips implicit title expansion and relies on the base company query unless you pass targetTitles explicitly. Verified rows always emit, and matchedTitles / titleMatchType tell you how strongly the profile title matched your ICP list.

What happens if I pass an unsupported seniorityFilter value? The actor logs a prominent warning, drops the unknown values, and continues with the supported subset instead of silently returning an empty dataset.

Can I scrape multiple companies? Yes. Pass an array of URLs or names.

What if a run is interrupted? Built-in state tracking skips already-processed profiles on rerun.

Can AI agents use this? Yes. Designed for programmatic use — structured JSON output, clear schema, API-first.

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Support

Questions? Find me on X/Twitter @ai_in_it or open an issue on GitHub.