LinkedIn Company Intelligence — Deep Corporate Profile Analysis avatar

LinkedIn Company Intelligence — Deep Corporate Profile Analysis

Pricing

Pay per usage

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LinkedIn Company Intelligence — Deep Corporate Profile Analysis

LinkedIn Company Intelligence — Deep Corporate Profile Analysis

Deep LinkedIn company analysis: employee growth, department breakdown, key hires, org changes. Corporate intelligence at scale.

Pricing

Pay per usage

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Creator Fusion

Creator Fusion

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LinkedIn Company Intelligence Scraper

A powerful Apify actor that extracts public LinkedIn company data for business intelligence, lead generation, and AI agent integration.

Features

  • Extract company name, industry, and employee count
  • Get company locations, headquarters, and founding year
  • Scrape specialties, tagline, and description
  • Optional: Extract job openings and recent posts
  • Proxy-ready for large-scale scraping
  • Agent and MCP server compatible
  • JSON output for AI workflows

Input Parameters

companyUrls (Required)

Array of LinkedIn company URLs or company names to scrape.

Examples:

maxResults (Default: 10)

Maximum number of companies to process (1-1000).

includeJobs (Default: true)

When enabled, also scrapes current job openings from the company.

includePosts (Default: true)

When enabled, includes recent company posts in output.

proxyConfiguration (Required)

Proxy configuration for requests. Proxy is mandatory and user covers proxy costs.

Output Schema

Each company record contains:

{ "url": "https://www.linkedin.com/company/apify-technologies/about/", "name": "Apify Technologies", "tagline": "Web scraping and automation platform", "description": "Apify is the web scraping and browser automation platform...", "industry": "Software Development", "companySize": "11-50 employees", "headquarters": "Prague, Czech Republic", "founded": "2016", "specialties": ["Web Scraping", "RPA", "Browser Automation"], "website": "https://apify.com", "followers": "50,000+", "scrapedAt": "2026-02-26T02:10:02.842Z", "source": "linkedin", "dataQuality": "high" }

Usage Example

API Call

curl https://api.apify.com/v2/acts/LwE5Q3UkmxsXlHLyP/runs -X POST -H 'Content-Type: application/json' -H 'Authorization: Bearer YOUR_API_TOKEN' -d '{ "companyUrls": ["https://www.linkedin.com/company/apify-technologies/", "https://www.linkedin.com/company/google/"], "maxResults": 2, "includeJobs": true, "includePosts": true, "proxyConfiguration": {"useApifyProxy": true}}'

Python Integration

from apify_client import ApifyClient

client = ApifyClient("YOUR_API_TOKEN") run = client.actor("LwE5Q3UkmxsXlHLyP").call({ "companyUrls": ["https://www.linkedin.com/company/apify-technologies/"], "maxResults": 1, "proxyConfiguration": {"useApifyProxy": True} })

for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item)

Agent and MCP Integration

This actor outputs structured JSON perfect for AI agents and MCP servers:

const runResult = await agentClient.runActor('LwE5Q3UkmxsXlHLyP', { companyUrls: ['apify', 'google'], maxResults: 2, proxyConfiguration: { useApifyProxy: true } });

const companyData = await agentClient.getDataset(runResult.datasetId);

Pricing

  • Actor Cost: $0.01 per company scraped
  • Proxy Cost: Varies by proxy provider (Apify, Bright Data, etc.)
  • Min Run: $0.01 + proxy costs

Requirements

  • Apify Account with API token
  • Proxy configuration (Apify Proxy, residential proxy, or datacenter proxy)
  • LinkedIn company URLs or names

Limits and Notes

  • LinkedIn may apply rate limits; use delays between requests
  • Public data only; respects LinkedIn's terms of service
  • Proxy required to avoid IP blocks
  • Timeout: 300 seconds per actor run
  • Memory: 1024 MB per run

Support

For issues or feature requests, contact Apify support or the actor developer.