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 employees through Google search (not LinkedIn's API), extracts profile data, normalizes it, and returns clean JSON ready for your pipeline.

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Architecture

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

    SERP -.-> PROXY["Apify GOOGLE_SERP Proxy"]
    SERP -.-> RETRY["Auto-Retry + Backoff"]

    style INPUT fill:#e3f2fd
    style OUTPUT fill:#e8f5e9
    style PROXY 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'],
  searchQuery: 'engineer',
  maxEmployees: 50,
});

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'],
    'searchQuery': 'engineer',
    'maxEmployees': 50,
})

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": 50}'

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Input / Output Schema

Input

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

    subgraph Optional Filters
        B["searchQuery: string<br/>Job title filter"]
        C["location: string<br/>Geographic filter"]
        D["seniorityFilter: string[]<br/>senior, director, vp, cxo..."]
        E["maxEmployees: number<br/>Limit per company (1-1000)"]
    end

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

{
  "companies": ["https://www.linkedin.com/company/openai"],
  "searchQuery": "engineer",
  "location": "San Francisco",
  "seniorityFilter": ["senior", "manager", "director"],
  "maxEmployees": 100,
  "maxConcurrency": 3
}

Parameter	Type	Required	Default	Description
companies	Array	Yes	—	LinkedIn company URLs or plain company names
searchQuery	String	No	""	Job title or keyword filter
location	String	No	""	Location filter
maxEmployees	Integer	No	100	Max employees per company (1–1000)
seniorityFilter	Array	No	[]	Filter: owner, partner, cxo, vp, director, manager, senior, entry
maxConcurrency	Integer	No	3	Concurrent requests (1–10)

Output

{
  "publicIdentifier": "thegdb",
  "profileUrl": "https://www.linkedin.com/in/thegdb/",
  "fullName": "Greg Brockman",
  "headline": "OpenAI",
  "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
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
• 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<br/>$0.005"] --> EXTRACT["Per Employee<br/>$0.004"]
    EXTRACT --> TOTAL["~$4 per 1,000<br/>employees"]

    style START fill:#fff9c4
    style EXTRACT fill:#c8e6c9
    style TOTAL fill:#e1f5fe

Event	Cost
Actor start	$0.005 per run
Employee extracted	$0.004 per employee

~$4 per 1,000 employees. Pay only for successfully extracted records.

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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. Uses Google search, not LinkedIn's API. Zero ban risk.

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.