Pricing

$3.50 / 1,000 item scrapeds

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LinkedIn Company Scraper

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Scrape public LinkedIn company page data (industry, size, HQ, website, description) from a company URL.

Pricing

$3.50 / 1,000 item scrapeds

Rating

0.0

(0)

Developer

Gio

Actor stats

Bookmarked

Total users

Monthly active users

4 hours ago

Last modified

Input

Field	Type	Description
`companyUrl`	string	A single public LinkedIn company URL, e.g. `https://www.linkedin.com/company/google/`
`companyUrls`	array	Optional: several company URLs at once
`maxItems`	integer	Max company URLs to process (default 10)

URLs are automatically normalized to the /about/ page regardless of the exact form you provide.

Example:

{
    "companyUrls": [
        "https://www.linkedin.com/company/google/",
        "https://www.linkedin.com/company/microsoft"
    ],
    "maxItems": 10
}

Output

{
    "companyName": "Google",
    "description": "Google's mission is to organize the world's information and make it universally accessible and useful.",
    "industry": "Software Development",
    "companySize": "10,001+ employees",
    "headquarters": "Mountain View, CA",
    "founded": 1998,
    "website": "https://www.google.com",
    "companyUrl": "https://www.linkedin.com/company/google/about/",
    "scrapedAt": "2026-07-17T00:00:00.000Z"
}

Common uses

Company research and firmographic enrichment
Sales prospecting (company size, industry, HQ)
Building a company directory or database
Verifying a company's official website and founding year

Notes

companyName and description come from meta tags and are the most reliable fields — they should populate on nearly every public company page.
industry, companySize, headquarters, founded, and website are parsed from the page's sidebar attribute list using label-text matching (e.g. finding "Industry" then reading the adjacent value). This is inherently more fragile than meta-tag extraction and may return null if LinkedIn has changed that section's layout — this does not affect companyName/description.
If a company page is authwalled or fails to load, the item includes error: "authwall" or error: "fetch-failed" instead of failing the whole run.

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