Pricing

$4.00 / 1,000 results

Linkedin Company Details Scraper

Extract detailed data from LinkedIn company profiles at scale — including company name, LinkedIn URL, website, industry, headquarters, company size, employee count, founded year, specialties, follower count, description, phone numbers, addresses, and more.

Pricing

$4.00 / 1,000 results

Rating

0.0

(0)

Developer

Hamza

Actor stats

Bookmarked

Total users

Monthly active users

3 days ago

Last modified

LinkedIn Company Details Scraper 🏢

Turn LinkedIn company pages into complete, structured company profiles — about text, follower and employee counts, every office location, specialties, funding, similar and affiliated pages, plus the company's recent posts with engagement numbers. Clean JSON, ready for your CRM or analysis.

✨ What you get

One record per company:

Field	Description
`slug` / `companyId` / `name` / `tagline` / `url`	Company identity
`about`	Full "About us" text
`followers` / `employeesOnLinkedIn`	Counts as real numbers
`website` / `industry` / `companySize` / `organizationType` / `founded`	About-section details
`specialties`	As a proper array, not one comma-blob
`headquarters` / `locations` / `countryCodes`	Every office, plus distinct country codes
`logo` / `coverImage`	Branding assets
`crunchbaseUrl` / `funding`	Funding info when LinkedIn shows it
`employeeSamples`	Publicly listed employees (name, profile URL, avatar)
`similarCompanies` / `affiliatedPages`	Name, industry, location, URL for each
`recentUpdates`	Recent posts: text, author, likes, comments, media, post URL/ID
`status`	`OK`, `PARTIAL`, `UNAVAILABLE` or `ERROR`
`inputUrl` / `scrapedAt`	Provenance

⚙️ Options

LinkedIn company URLs — company, showcase or school pages; plain slugs like microsoft work too.
Maximum recent posts (advanced) — how many updates to include per company.

🚀 Example

Input:

{
    "companyUrls": [
        "https://www.linkedin.com/company/microsoft",
        "https://www.linkedin.com/company/anthropicresearch/",
        "https://www.linkedin.com/company/perplexity-ai/"
    ]
}

Part of one output record:

{
    "slug": "microsoft",
    "companyId": "1035",
    "name": "Microsoft",
    "followers": 28193611,
    "employeesOnLinkedIn": 231026,
    "industry": "Software Development",
    "companySize": "10,001+ employees",
    "organizationType": "Public Company",
    "headquarters": "Redmond, Washington",
    "specialties": ["Business Software", "Developer Tools", "Cloud Computing", "AI"],
    "countryCodes": ["US", "AU", "CA", "FR", "DE", "JP", "GB"],
    "status": "OK"
}

💡 Use cases

Sales intelligence — enrich target-account lists with size, industry and HQ.
Market mapping — walk similarCompanies to chart an entire sector.
Competitor monitoring — track follower growth and what companies post.
Recruiting research — gauge team size and office footprint before outreach.

💳 Pricing

You pay per company profile scraped — failed or unavailable pages are free. No subscriptions, no hidden compute costs.

❓ FAQ

Does it need LinkedIn credentials? No — it reads the public company pages. No account, no cookies, nothing to get banned.

What if a page is private or removed? You get an UNAVAILABLE record and aren't charged for it.

How fresh is the data? Every run fetches the live page — counts and posts are current as of the run.

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