🏢 LinkedIn Company Detail Scraper

Extract detailed LinkedIn company data instantly. Get company overview, employee count, locations, funding info, and more. Perfect for market research, lead generation, and competitor analysis. — search by keyword or start URLs, bypass anti-bot protections seamlessly. Get comprehensive fields including Company Name, Industry, Employee Count, Follower Count, About, Website, Headquarters, Founded. Flat $0.005/item — simple, predictable, and scalable pricing.

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🚀 Why This Actor?

Feature	This Actor	Competitors
Price per item	$0.005 flat	Same or higher
Compute Costs	Included	Hidden (You pay for their slow code)
Empty Results	NEVER Charged	You pay for empty data
Anti-bot Bypass	Native (Playwright)	Fails frequently
Input Fields	Simple & Direct	Confusing and broken

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✨ Features

• 🔍 Multiple Input Formats — Supports URLs, URNs, slugs, or raw search terms.
• 📄 Structured Output Fields — Company Name, Industry, Employee Count, Follower Count, About, Website, Headquarters, Founded.
• 🛡️ Anti-bot Bypass — utilizes Playwright browsers to render properly and bypass Datadome.
• 💰 Flat Pricing — $0.15 Base + $0.005/item. No hidden compute fees. We never charge for blank results.
• 📦 Multiple Export Formats — JSON, CSV, Excel, XML, HTML Table.

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🎯 Use Cases

Audience	Applications
B2B Sales & Marketing	Lead enrichment and CRM data cleansing
Market Researchers	Competitor analysis and industry mapping
Recruiters	Headcount and talent pool analysis
Investors	Due diligence and portfolio tracking

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💡 Quick Start

1. Sign Up (Free $5 Credit)

Uses our referral link — you get $5 free credit to test immediately.

2. Run Your First Search

{
  "identifier": [
    "google",
    "https://www.linkedin.com/company/youtube"
  ],
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"]
  }
}

3. Download Results

Results appear in the Dataset tab. Export as JSON, CSV, Excel, XML, or HTML Table.

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⚙️ Input Parameters

Parameter	Type	Required	Default	Description
🏢 identifier	array	Yes	—	LinkedIn company identifier (name, slug, or URL).
🛡️ proxyConfiguration	object	Yes	Apify Proxy	Residential Proxies are required for LinkedIn.

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📊 Output Example

Each item in the dataset contains the following fields:

{
  "url": "https://www.linkedin.com/company/google",
  "name": "Google",
  "industry": "Software Development",
  "employeeCount": 314932,
  "followerCount": 42045202,
  "about": "A problem isn't truly solved until it's solved for all...",
  "website": "https://goo.gle/3DLEokh",
  "headquarters": "Mountain View, CA, US",
  "founded": "",
  "specialties": [
    "search",
    "ads",
    "mobile",
    "android",
    "cloud"
  ],
  "logo": "https://media.licdn.com/dms/image/v2/...",
  "organizationType": "Public Company",
  "locations": [
    "1600 Amphitheatre Parkway Mountain View 94043 CA US",
    "111 8th Ave New York 10011 NY US"
  ]
}

Data Fields

Field	Type	Description
url	string	Direct link to the company page
name	string	Company Name
industry	string	Main industry
employeeCount	number	Number of employees
followerCount	number	Number of followers
about	string	Description / About text
website	string	Official website URL
headquarters	string	Headquarters location
founded	string	Founding year
specialties	array	List of company specialties
logo	string	URL of the company logo
organizationType	string	E.g. Public Company, Privately Held
locations	array	List of all office locations

You can download the dataset in various formats such as JSON, HTML, CSV, or Excel.

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💰 Pricing (Pay Per Event)

Event	Rate
Result Item (apify-default-dataset-item)	$0.005

Examples:

• 100 items: 100 × $0.005 = $0.50
• 1,000 items: 1,000 × $0.005 = $5.00

💡 You ONLY pay for successful extractions. If a company doesn't exist or isn't found, you are charged $0.00. There are no heavy startup fees or hidden compute costs.

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🔧 Integration (API)

Node.js

$npm install apify-client

import { ApifyClient } from 'apify-client';

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

const run = await client.actor('forlex/linkedin-company-detail').call({
  identifier: ['google', 'youtube']
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

Python

$pip install apify-client

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")

run = client.actor("forlex/linkedin-company-detail").call(
    run_input={"identifier": ["google", "youtube"]}
)

items = client.dataset(run["defaultDatasetId"]).list_items().items
for item in items:
    print(item["name"], item["website"])

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💡 Tips & Advanced Options

• Optimize speed: Run smaller batches of URLs for faster results.
• Reduce costs: We only charge for successful extractions. Blank results are skipped.
• Proxy rotation: Apify Residential Proxy is required and handles rotation automatically.

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❓ FAQ, Disclaimers & Support

Is it legal to scrape LinkedIn?

Web scraping of publicly available data is generally legal. This Actor only extracts publicly visible information and does not bypass any login walls or access private data. Always review the target website's Terms of Service before scraping.

What if the Actor stops working?

Websites change their structure regularly. If you encounter issues, please report them in the Issues tab and we'll fix it promptly.

Can I get a custom solution?

Yes! If you need additional fields, custom data transformations, or a scraper for a different site, reach out through the Issues tab.

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