LinkedIn Company Scraper(by URL)

What does LinkedIn Company Scraper do?

LinkedIn Company Scraper extracts detailed company information from LinkedIn by company page URL. Provide one or more LinkedIn company URLs, and it will fetch each page and return structured company data including name, industry, size, locations, funding, employees, and recent updates.

• Accept one or more LinkedIn company page URLs
• Extract comprehensive company profiles from each page
• Get office locations and headquarters information
• Retrieve funding details and investor information
• Get employee data including notable employees
• Track recent company updates and posts
• Find similar and affiliated companies
• Control concurrency for parallel fetching

What data can you get from LinkedIn

LinkedIn Company Scraper can gather comprehensive company data from LinkedIn, such as:

How to scrape LinkedIn with LinkedIn Company Scraper?

LinkedIn Company Scraper is easy to use. Follow these 5 steps:

1. Prepare one or more LinkedIn company page URLs (e.g. https://www.linkedin.com/company/linkedin/).
2. Add the URLs to the input list.
3. Optionally adjust concurrency and retry settings.
4. Click the "Start" button and wait for the data to be extracted.
5. Download your data in JSON, CSV, Excel, or other available formats.

Input

LinkedIn Company Scraper accepts the following input parameters:

• url (required): Array of LinkedIn company page URLs
• retry_times: Request retry count (1–5). Default: 3
• max_concurrency: Concurrent requests (1–20). Default: 8

Input JSON

{
    "url": [
        {"url": "https://www.linkedin.com/company/linkedin/"},
        {"url": "https://www.linkedin.com/company/google/"}
    ],
    "retry_times": 3,
    "max_concurrency": 8
}

Output

Each input URL returns one row with structured company data:

{
    "url": "https://www.linkedin.com/company/linkedin/",
    "status": "success",
    "data": {
        "id": "linkedin",
        "company_id": "1337",
        "name": "LinkedIn",
        "url": "https://www.linkedin.com/company/linkedin/",
        "website": "https://www.linkedin.com/",
        "website_simplified": "linkedin.com",
        "about": "LinkedIn is the world's largest professional network...",
        "unformatted_about": "LinkedIn is the world's largest professional network...",
        "description": "LinkedIn connects the world's professionals...",
        "slogan": "Start doing what you were meant to do",
        "headquarters": "Sunnyvale, CA",
        "locations": ["Sunnyvale, CA", "San Francisco, CA", "New York, NY"],
        "formatted_locations": ["Sunnyvale, CA, US", "San Francisco, CA, US"],
        "country_code": "US",
        "country_codes_array": ["US"],
        "get_directions_url": ["https://maps.google.com/..."],
        "followers": 15000000,
        "employees_in_linkedin": 25000,
        "employees": [
            {
                "link": "https://www.linkedin.com/in/satyanadella/",
                "img": "https://media.licdn.com/...",
                "title": "Satya Nadella",
                "subtitle": "CEO at Microsoft"
            }
        ],
        "company_size": "10001+",
        "organization_type": "Public Company",
        "industries": "Technology, Information and Internet",
        "founded": "2003",
        "specialties": "Professional Networking, Job Search, Talent Solutions, Marketing Solutions",
        "logo": "https://media.licdn.com/...",
        "image": "https://media.licdn.com/...",
        "similar": [
            {
                "link": "https://www.linkedin.com/company/example/",
                "title": "Example Inc",
                "subtitle": "Technology",
                "location": "San Francisco, CA"
            }
        ],
        "affiliated": [
            {
                "link": "https://www.linkedin.com/company/microsoft/",
                "title": "Microsoft",
                "subtitle": "Technology",
                "location": "Redmond, WA"
            }
        ],
        "funding": {
            "rounds": 4,
            "last_round_type": "Series D",
            "last_round_date": "2008",
            "last_round_raised": "$22.7M",
            "investors": "Sequoia Capital, Greylock Partners",
            "crunchbase_url": "https://www.crunchbase.com/organization/linkedin"
        },
        "crunchbase_url": "https://www.crunchbase.com/organization/linkedin",
        "investors": ["Sequoia Capital", "Greylock Partners"],
        "updates": [
            {
                "post_url": "https://www.linkedin.com/feed/update/...",
                "company": "LinkedIn",
                "followers": 15000000,
                "posted_time": "2 days ago",
                "content": "We're excited to announce...",
                "media": "",
                "likes": 1200,
                "comments": 45
            }
        ],
        "additional_information": "15 open jobs"
    },
    "error": "",
    "error_code": ""
}

How can I use the data?

• 🏢 Company research — Build comprehensive company profiles for due diligence or prospecting
• 📊 Competitive analysis — Compare company sizes, industries, and follower counts
• 💰 Investment research — Analyze funding history, investors, and growth indicators
• 🎯 Lead generation — Build targeted lists of companies by industry, size, or location
• 📈 Market mapping — Discover similar and affiliated companies for market analysis
• 📍 Location planning — Analyze company headquarters and office locations
• 📢 Content monitoring — Track recent company updates and announcements
• 🔬 Academic research — Study corporate structures, industries, and employment patterns

Error items

When the scraper cannot retrieve data for a given URL, it pushes an error item to the dataset. Normal output items are never affected; you can tell them apart by the presence of an error_code field.

Error item structure

{
    "url": "https://www.linkedin.com/company/nonexistent/",
    "status": "failed",
    "data": null,
    "error": "Company page not found",
    "error_code": "NOT_FOUND"
}

Error codes reference

FAQ

What type of company URLs does this scraper accept?

It accepts standard LinkedIn company page URLs such as https://www.linkedin.com/company/linkedin/. The scraper will extract all available public company information from the page.

Can I scrape both company info and job listings?

This scraper focuses on company profile data. For job listings, use LinkedIn Job Scraper (by Keyword), LinkedIn Job Scraper (by Job URL), or LinkedIn Job Scraper (by Listing URL).

How many company URLs can I submit at once?

There is no hard limit on the number of URLs. However, the max_concurrency setting controls how many pages are fetched in parallel, so more URLs will take proportionally longer.

What funding data is included?

If available on the company's LinkedIn page, the scraper extracts funding rounds, the last round type and date, amount raised, investor names, and the Crunchbase URL.

Is it legal to scrape LinkedIn company data?

This scraper only extracts publicly available company page data. You should ensure your use of the data complies with LinkedIn's terms of service and applicable laws in your jurisdiction.