LinkedIn Company Scraper

Scrape LinkedIn company pages for public company data without login. Extract company name, industry, headquarters, size, founded year, type, specialties, website, description, follower count, employees on LinkedIn, recent posts, and logo URL.

Use Cases

• B2B Prospecting — Build targeted lists of companies by industry, size, or location for outbound sales campaigns.
• Market Research — Analyze competitor landscapes, industry trends, and company growth patterns at scale.
• Competitive Intelligence — Monitor competitors' LinkedIn presence, follower growth, recent activity, and employee counts.
• Lead Generation — Find companies matching your ideal customer profile (ICP) with enriched firmographic data.
• Investment Research — Screen companies by size, industry, and growth indicators for deal sourcing.
• Recruitment — Identify target companies for talent sourcing based on industry, size, and location.
• Sales Enablement — Enrich CRM records with up-to-date LinkedIn company data for better targeting.

Features

• Scrapes public LinkedIn company pages (no login or cookies needed)
• Multiple extraction strategies with automatic fallback:
  1. Embedded JSON parsing (highest fidelity)
  2. LD+JSON structured data (schema.org)
  3. Meta tag extraction (og:, twitter:)
  4. DOM parsing with CSS selectors
• Google search discovery — find companies by name, industry, or keywords using site:linkedin.com/company/ dorking
• Bing search as backup discovery engine
• 14 rotating user agents for anti-bot evasion
• Company size filtering — filter results by employee count range
• Deduplication by LinkedIn company slug
• Recent post extraction — latest company posts with engagement metrics
• Proxy support — residential proxies recommended for reliability
• Pay-per-event pricing — only charged for successfully scraped companies ($0.005/company)

Output Data

Each scraped company includes:

Field	Type	Description
companyName	String	Official company name
linkedinUrl	String	Full LinkedIn company page URL
companySlug	String	LinkedIn URL slug (e.g., "microsoft")
industry	String	Primary industry
headquarters	String	HQ location (city, state, country)
companySize	String	Employee count range (e.g., "10,001+ employees")
founded	String	Year founded
type	String	Company type (Public, Private, Nonprofit, etc.)
specialties	Array	List of company specialties
website	String	Company website URL
websiteDomain	String	Extracted domain from website
description	String	Company description/overview
followers	Number	LinkedIn follower count
employeesOnLinkedIn	Number	Number of employees on LinkedIn
logoUrl	String	Company logo image URL
recentPosts	Array	Recent company posts with text, date, likes, comments
recentPostCount	Number	Number of recent posts extracted
source	String	How the company was found (direct, google_search, bing_search)
scrapedAt	String	ISO timestamp of when data was scraped
extractionStrategies	Array	Which strategies successfully extracted data

Input Examples

Scrape specific companies by URL

{
  "companyUrls": [
    "https://www.linkedin.com/company/microsoft",
    "https://www.linkedin.com/company/google",
    "apple",
    "meta-platforms"
  ],
  "maxResults": 10
}

Search for companies by name

{
  "searchQuery": "artificial intelligence startup",
  "maxResults": 50
}

Search with industry and size filter

{
  "searchQuery": "fintech",
  "industry": "financial services",
  "companySize": "51-200",
  "maxResults": 100
}

Full configuration

{
  "companyUrls": ["https://www.linkedin.com/company/stripe"],
  "searchQuery": "payment processing",
  "industry": "technology",
  "companySize": "201-500",
  "maxResults": 200,
  "maxConcurrency": 2,
  "requestDelay": 5,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"]
  }
}

Tips for Best Results

1. Use residential proxies — LinkedIn aggressively blocks datacenter IPs. Residential proxies dramatically improve success rates.
2. Keep concurrency low — 1-2 concurrent requests is recommended. LinkedIn rate-limits aggressively.
3. Set reasonable delays — 5-10 second delays between requests help avoid blocks.
4. Combine URLs and search — Provide known company URLs for guaranteed scraping, plus search queries for discovery.
5. Start small — Test with 5-10 companies before running large batches to verify proxy and settings work.

Company Size Filter Options

Value	Description
any	No filtering (all sizes)
1-10	Micro businesses
11-50	Small businesses
51-200	Medium businesses
201-500	Mid-market
501-1000	Upper mid-market
1001-5000	Large companies
5001-10000	Enterprise
10001+	Large enterprise

Limitations

• Scrapes public data only — no login, no private profiles, no authentication
• LinkedIn may show limited data on public company pages (auth wall)
• Google search discovery is limited by Google's rate limiting
• Very new or small companies may have minimal LinkedIn data
• Results depend on LinkedIn's public page structure, which can change

Cost

This actor uses pay-per-event pricing:

• $0.005 per company successfully scraped
• No charge for failed scrapes, blocked pages, or search discovery
• No monthly fees — pay only for what you use

Legal Notice

This actor scrapes only publicly available information from LinkedIn company pages. It does not log in, bypass authentication, or access private data. Users are responsible for complying with LinkedIn's Terms of Service and applicable laws (GDPR, CCPA, etc.) when using scraped data.

Integration — Python

from apify_client import ApifyClient

client = ApifyClient("YOUR_API_TOKEN")
run = client.actor("sovereigntaylor/linkedin-company-scraper").call(run_input={
    "searchTerm": "linkedin company",
    "maxResults": 50
})

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(f"{item.get('title', item.get('name', 'N/A'))}")

Integration — JavaScript

import { ApifyClient } from 'apify-client';
const client = new ApifyClient({ token: 'YOUR_API_TOKEN' });

const run = await client.actor('sovereigntaylor/linkedin-company-scraper').call({
    searchTerm: 'linkedin company',
    maxResults: 50
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach(item => console.log(item.title || item.name || 'N/A'));