🔗 LinkedIn Company Scraper – Scrape Public Company Data

This Apify actor scrapes comprehensive public company data from LinkedIn pages.
It supports providing company names or direct URLs, handles login & rate-limiting, and uses stealth scraping with proxies for reliable results.

⚡ NEW in v2.0: Concurrent processing (3-5x faster), pay-per-event pricing, and 25+ data fields.

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💰 Pricing

This Actor uses the transparent Pay Per Event (PPE) pricing model. You only pay for what you scrape—no monthly subscriptions required.

⚡ Platform Usage Cost is Free: You do not pay separately for underlying compute, memory, or proxies. All platform usage is covered!

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💳 Event Breakdown

Event	Event Name	Price	Description
Company Scraped	company-scrape-success	$0.01 / company	Charged only when a company profile is successfully extracted
Dataset Output (Apify)	apify-default-dataset-item	$3.00 / 1,000 items ($0.003/item)	Flat Apify dataset storage charge per output item
Actor Start (Apify)	apify-actor-start	$0.00005 / run	Negligible startup fee per run

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🏷️ Apify Store Volume Discounts

Discounts apply automatically to the Company Scraped event based on your Apify subscription tier:

Plan / Discount Tier	Event Price per 1,000 Companies	Effective Price per Company
Standard / No discount	$10.00 / 1,000	$0.010
🥉 Bronze discount	$9.00 / 1,000	$0.009
🥈 Silver discount	$8.00 / 1,000	$0.008
🥇 Gold discount	$7.00 / 1,000	$0.007

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📊 Estimated Total Cost Examples

(Includes company scrape event + dataset charge; excludes negligible $0.00005 start fee)

Volume	Scrape Fee ($0.01/co)	Dataset Fee ($3/1k)	Total Estimated Cost
100 companies	$1.00	$0.30	~$1.30
500 companies	$5.00	$1.50	~$6.50
1,000 companies	$10.00	$3.00	~$13.00 (as low as $10.00 on Gold)
5,000 companies	$50.00	$15.00	~$65.00 (as low as $50.00 on Gold)

Note: If a company fails to be scraped, you are not charged the $0.01 company scrape event.

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🚀 What It Does

The actor processes each company name or URL and returns a detailed profile including:

• 📄 Company Info: Name, Tagline, About Text, Website, Founded Year
• 🖼️ Media: Profile Photo and Banner Image URLs
• 📊 Stats: Followers count (e.g. 12M), Company Size range, and Associated Members
• 📍 Details: Headquarters, Industry, Specialties, Phone, Full Locations with coordinates
• 🆔 Identifiers: Company ID, Universal Name, LinkedIn URL

It handles:

✅ Automatic company search by name
🔄 Cookie-based login (li_at cookie required)
🛡️ Stealth Playwright browser + Apify Proxy
⚡ Concurrent processing (3-5 parallel workers)
🔁 Automatic retries with exponential backoff
🧹 URL normalization and deduplication

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🔑 How to Get Your li_at Cookie (Required)

1. Go to LinkedIn and make sure you're logged in.
2. Right-click anywhere on the page and select Inspect.
3. In Developer Tools, open the Application tab.
4. Under Storage → Cookies, click on https://www.linkedin.com.
5. On the Right Side you will see a table Find the cookie named li_at and copy its Value column.
6. Use that string in your actor input under "li_at_cookie".

Check Screenshot here:

https://snipboard.io/kgMbwN.jpg

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⚙️ Input Configuration

Field	Type	Description	Default
companies	Array	LinkedIn company names or URLs (auto-detected). Duplicates removed automatically.	["Google", "Microsoft"]
li_at_cookie	String	Required. Your LinkedIn li_at cookie.	—
concurrency	Integer	Number of parallel browser pages (1-5). Higher = faster but uses more memory.	3
maxRetries	Integer	Max retry attempts per company on failure. Uses exponential backoff.	3

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🧩 Example Input

{
  "companies": [
    "Google",
    "Microsoft",
    "https://www.linkedin.com/company/tesla-motors/"
  ],
  "li_at_cookie": "AQED...your_REQUIRED_cookie_value_here",
  "concurrency": 3,
  "maxRetries": 3
}

📊 Example Output

[
  {
    "companyName": "Tesla",
    "linkedInUrl": "https://www.linkedin.com/company/tesla-motors/",
    "profilePhotoUrl": "https://media.licdn.com/.../tesla_logo?e=1",
    "bannerUrl": "https://media.licdn.com/.../tesla_banner?e=1",
    "about": "Tesla's mission is to accelerate the world's transition to sustainable energy...",
    "tagline": "Accelerating the world's transition to sustainable energy",
    "website": "https://www.tesla.com",
    "verifiedPage": "Verified",
    "followers": "17M",
    "companySize": "10,001+ employees",
    "headquarters": "Austin, TX",
    "founded": "2003",
    "phone": null,
    "industry": "Motor Vehicle Manufacturing",
    "specialties": "Electric vehicles, Clean energy, Autopilot",
    "associatedMembers": 140417,
    "companyId": 15564,
    "universalName": "tesla-motors",
    "locations": [
      {
        "isHeadquarter": true,
        "city": "Austin",
        "country": "US",
        "postalCode": "78725",
        "line1": "13101 Harold Green Rd",
        "latitude": 30.276316,
        "longitude": -97.70931
      },
      {
        "isHeadquarter": false,
        "city": "Fremont",
        "country": "US",
        "postalCode": "94538",
        "line1": "45500 Fremont Blvd",
        "latitude": 37.39271,
        "longitude": -122.042
      }
    ],
    "scrapedAt": "2026-09-15T01:00:00.000Z"
  }
]

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⚡ Performance

Metric	v1.0	v2.0
Speed (100 URLs)	~50 min	~20-30 min
Concurrency	1 (sequential)	3-5 parallel workers
Data fields	18	20 accurate fields
Error handling	Stops on failure	Per-company retry with backoff
Pricing model	Usage only	Pay Per Event ($0.01/company)

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🧠 Features

• 🌍 Scrapes company names or LinkedIn URLs
• ⚡ Concurrent processing with configurable worker pool (3-5x faster)
• 🛡️ Uses playwright-extra with stealth plugin
• 🔄 Requires li_at cookie for authenticated scraping
• 🌐 Integrates with Apify Proxy
• 📸 Extracts key details: profile/banner images, about text, website, and locations
• 📊 Reliable stats: follower count, company size, and associated members
• 📍 Scrapes all company locations with coordinates
• 🆔 Extracts exact company ID and universal name
• 🔁 Automatic retries with exponential backoff per company
• 🧹 URL normalization and duplicate detection
• 💰 Pay Per Event pricing model

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💡 Use Cases

• Sales Intelligence: Build prospect lists for outreach
• Market Research: Analyze competitors by industry and region
• Recruiting: Find companies by size, sector, or location
• Data Enrichment: Add LinkedIn data to existing business datasets
• Lead Generation: Enrich CRM data with company details

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🧑💻 Developer Info

Author: codescraper

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🏷️ Tags

linkedin · linkedin-company-scraper · company-scraper · lead-generation · data-scraping · playwright · automation · apify · pay-per-event