LinkedIn Company Scraper

LinkedIn company data scraper - posts, jobs, funding & similar companies

Scrape the full public LinkedIn company page in one call - employees, all listed office locations, recent posts, similar companies, funding rounds, and live open-job counts. No login, no cookies, no browser.

$1 per 1,000 companies (moving to $2 on August 28, 2026). No monthly minimum, no subscription.

The only scraper that bundles posts with engagement metrics, named investors with Crunchbase links, and the live open-job count from /jobs/search in a single record.

Why this scraper?

• 🪙 $1 per 1,000 companies (moving to $2 on August 28) - among the lowest-priced full-featured LinkedIn company scrapers on Apify, where comparable actors charge $3 to $5. No monthly minimum.
• 📦 Every public field in one call - about, employees, address, posts, similar companies, funding, and live open-job count.
• 🆕 Live open-job count - the authoritative number from LinkedIn's anonymous jobs page, paid as a separate add-on by every other actor.
• 💸 Named investors with Crunchbase deep-links - same depth as the leading scraper at a quarter of the price.
• 📈 Post engagement metrics - reaction and comment counts paired with each recent post.
• 👥 Sample employees - four real profile links surfaced on the public page, ready for outreach.
• 🗺️ All office locations, not just HQ - every office LinkedIn lists on the public page, with street, city, region, and country, so you can map a company's footprint across cities and countries.
• 🌍 Regional presence - hreflang locale codes show which markets the company has a localised presence in.
• ⚡ Concurrent HTTP - pull 50 companies in roughly two minutes; pure HTTP, no cookies, no browser.

What data can you extract?

🏢 Company name	🏷️ Tagline	📝 About	🏭 Industry
🌐 Website	👥 Employee count (exact)	📊 Employee range	📅 Founded year
🏛️ Organization type	📍 HQ address (structured)	🗺️ All office locations	📣 Follower count
🎯 Specialties	💼 Open job count	💰 Funding rounds	🏦 Last funding round
👤 Named investors	🖼️ Logo URL	🎨 Cover image URL	🔗 Similar companies
🏢 Affiliated pages	📰 Recent posts + reactions	👥 Employees preview	🌐 Locale alternates
🆔 Organization URN

How to scrape LinkedIn companies: step by step

1. Create a free Apify account. Takes 30 seconds, no card needed.
2. Open LinkedIn Company Scraper in the Apify Console.
3. Paste company URLs or slugs into the input box.
4. Click Start. Most runs finish in under three minutes for 50 companies.
5. Export as JSON, CSV, or Excel - or pull via the Apify API.

How much does LinkedIn Company Scraper cost?

LinkedIn Company Scraper uses pay-per-result pricing. You pay $1.00 per 1,000 companies (increasing to $2.00 per 1,000 on August 28, 2026). A small $0.001 per-run start fee applies from July 28, 2026. The Apify Free plan gives $5 in monthly credits, and the $29 Starter plan covers thousands of companies per month.

No minimum order and no subscription lock-in. Even at $2 per 1,000 this stays among the lowest-priced full-featured LinkedIn company scrapers, where comparable actors charge $3 to $5 per 1,000.

Input

{
    "companies": [
        "google",
        "https://www.linkedin.com/company/stripe/",
        "openai",
        "shopify"
    ],
    "maxResults": 0,
    "maxConcurrency": 8
}

Field	Type	Default	Notes
companies	string[]	required	LinkedIn company URLs or bare slugs. Both work; URL paths like /about/ are stripped automatically.
maxResults	integer	0	Cap total companies. 0 = scrape everything you provided.
maxConcurrency	integer	8	How many companies to fetch in parallel (1-15). Lower if you see rate limits.

Output

{
    "companyName": "Stripe",
    "companySlug": "stripe",
    "companyUrl": "https://www.linkedin.com/company/stripe",
    "companyUrn": "2135371",
    "description": "Stripe builds programmable financial services. Millions of companies use Stripe to accept payments, grow their revenue, and accelerate new business opportunities.",
    "slogan": "Help increase the GDP of the internet.",
    "website": "https://stripe.com",
    "industry": "Technology, Information and Internet",
    "organizationType": "Privately Held",
    "companySizeRange": "5,001-10,000 employees",
    "exactEmployeeCount": 15203,
    "foundedYear": 2010,
    "headquarters": "South San Francisco, California",
    "address": {
        "street": "354 Oyster Point Blvd",
        "city": "South San Francisco",
        "state": "California",
        "postalCode": "94080",
        "country": "US"
    },
    "officeLocations": [
        {
            "isPrimary": true,
            "street": "354 Oyster Point Blvd",
            "city": "South San Francisco",
            "region": "California 94080",
            "country": "US",
            "fullAddress": "354 Oyster Point Blvd, South San Francisco, California 94080, US",
            "directionsUrl": "https://www.bing.com/maps?where=354+Oyster+Point+Blvd+South+San+Francisco+94080+California+US"
        },
        {
            "isPrimary": false,
            "street": "201 Bishopsgate",
            "city": "London",
            "region": "England EC2M 3NS",
            "country": "GB",
            "fullAddress": "201 Bishopsgate, London, England EC2M 3NS, GB",
            "directionsUrl": "https://www.bing.com/maps?where=201+Bishopsgate+London+EC2M+3NS+England+GB"
        }
    ],
    "followerCount": 1410181,
    "openJobCount": 498,
    "specialties": [],
    "fundingRounds": 21,
    "lastFundingRound": {
        "type": "Secondary market",
        "date": "2025-03-27",
        "crunchbaseUrl": "https://www.crunchbase.com/funding_round/stripe-secondary-market--cda61ef2"
    },
    "fundingInvestors": [],
    "crunchbaseUrl": "https://www.crunchbase.com/organization/stripe",
    "logoUrl": "https://media.licdn.com/dms/image/v2/.../stripe_logo",
    "coverImageUrl": "https://media.licdn.com/dms/image/v2/.../stripe_cover",
    "similarCompanies": [
        { "name": "Airbnb", "url": "https://www.linkedin.com/company/airbnb" },
        { "name": "Anthropic", "url": "https://www.linkedin.com/company/anthropicresearch" }
    ],
    "affiliatedPages": [
        { "name": "Stripe Partner Ecosystem", "url": "https://www.linkedin.com/showcase/stripe-partner-ecosystem" }
    ],
    "recentPosts": [
        {
            "text": "From day one, ElevenLabs has used Stripe to support its rapid growth...",
            "datePublished": "2026-05-07T14:04:02.097Z",
            "url": "https://www.linkedin.com/posts/stripe_from-day-one-elevenlabs-...",
            "activityUrn": "7460681796486287360",
            "reactions": 293,
            "comments": 16
        }
    ],
    "employeesPreview": [
        { "slug": "claire-hughes-johnson-7058", "profileUrl": "https://www.linkedin.com/in/claire-hughes-johnson-7058?trk=org-employees" }
    ],
    "localeAlternates": ["en-IE","en-US","en-IN","en-AU","ja-JP","fr-FR","pt-BR","es-MX"],
    "scrapedAt": "2026-05-15T07:05:30.632Z"
}

Use cases

• 🧲 B2B lead enrichment - append firmographics (size, industry, address, website) to your CRM at scale.
• 🔍 Account-based prospecting - pull the four sample employees per company as a starting point for outreach.
• 🗺️ Footprint mapping - use officeLocations to spot companies with multiple offices and target accounts by city or country.
• 📊 Market mapping - combine similarCompanies and localeAlternates to find adjacent vendors and regional presence.
• 💰 Funding intel - track last round, named investors, and Crunchbase links across a watchlist.
• 📈 Hiring signal - openJobCount is the authoritative live number; spike-watch a competitor cohort.
• 📰 Brand monitoring - recent posts with engagement counts feed into content benchmarking.
• 📚 CRM hygiene - re-scrape periodically to keep employee counts and addresses fresh.
• 🥇 Investment research - funding history and headcount on a single line item.

Limitations

• Use exact LinkedIn slugs. LinkedIn often renames its canonical URLs (tesla → tesla-motors, intel → intel-corporation, jpmorgan-chase → jpmorganchase). When the slug doesn't exist, the company is silently skipped - you're not billed.
• Posts cap at ~10. LinkedIn's anonymous feed only exposes around ten recent posts per company; there's no way to page deeper without a logged-in session.
• Employees preview is four people. LinkedIn limits the logged-out view to four sample employees; we return all of them.
• Founded year and named investors are not always published. Big-tech megacaps often omit founded year, and most public or older companies don't list individual investors. Fields come back as null or empty when LinkedIn doesn't show them.
• Public data only. Auth-walled tabs (/about/, /people/, /products/, /services/) cannot be reached without a LinkedIn cookie - those are out of scope by design.

FAQ

How much does LinkedIn Company Scraper cost?

LinkedIn Company Scraper uses pay-per-result pricing. You pay $1.00 for 1,000 results (moving to $2.00 on August 28, 2026), plus a $0.001 per-run start fee from July 28, 2026. The Apify Free plan gives you $5 in usage credits a month, and the $29/month Starter plan covers thousands of results.

No subscription lock-in. Pause whenever.

Is it legal to scrape LinkedIn?

Scraping public data is generally allowed in the US and most of the EU, as long as you don't collect personal data covered by GDPR or CCPA without a lawful basis. This actor only touches publicly accessible pages, but how you use the output is on you.

Apify's full breakdown: Is web scraping legal?.

Can I integrate LinkedIn Company Scraper with other tools?

Push results into Make, Zapier, Slack, Airbyte, GitHub, Google Sheets, Google Drive, and more. Apify treats every actor as a webhook source, so anything that consumes webhooks or pulls from an API works.

Full list: Apify integrations.

Can I use LinkedIn Company Scraper with the Apify API?

Yes. Every run is available via the Apify REST API:

curl -X POST "https://api.apify.com/v2/acts/sourabhbgp~linkedin-company-scraper/runs?token=APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"companies": ["google", "stripe"]}'

Docs: Apify API reference.

Can I use LinkedIn Company Scraper through an MCP Server?

Yes. Apify ships an MCP server that exposes every actor as a tool, so Claude Desktop, Cursor, and any other MCP-capable client can call LinkedIn Company Scraper. Setup: Apify MCP docs.

Your feedback

Bug, missing field, or odd behavior? Drop a note in the Issues tab. Reports go to a human and fixes usually ship the same week.