💼 LinkedIn Company Profiles Scraper

🕒 Last updated: 2026-05-05

Easily gather verified company data from LinkedIn profiles without needing to code. This tool extracts complete company profiles, including details like name, industry, size, employee count, headquarters, and more. Perfect for sales teams building prospect lists, researchers gathering insights, or business analysts tracking competitors. Download LinkedIn company data as CSV, Excel, or JSON quickly.

This scraper collects verified company data from public LinkedIn profiles, with 23+ data fields per company, plus automatic residential proxy rotation and batch processing support.

✨ What Does It Do

• 🏢 Company Name - Identify organizations to build prospect lists
• 🏭 Industry - Filter by sector to target relevant prospects
• 📊 Company Size - Segment targets by workforce size for personalized outreach
• 👥 Employee Count - Get headcount for better lead qualification
• 📍 Headquarters Location - Find company locations by city, state, and country
• 🌐 Website URL - Access official sites for further research
• 📖 Description - Learn about company missions in their own words
• 🎯 Specialties - Discover core business areas for tailored outreach
• 👁️ Follower Count - Measure company reach and influence on the platform
• 🏛️ Organization Type - Identify public, private, nonprofit, and other structures
• 📅 Founded Date - Track company age and market entry timing
• 🔗 LinkedIn URL - Direct link to full company profile
• 🎨 Company Logo - Download logos for prospect materials and CRM integration

🔧 Input

• Company URLs - Enter LinkedIn company page URLs (e.g., https://www.linkedin.com/company/apple/). Add as many as needed, separated by lines.
• Max Items - Limit the number of companies per run. Free users: up to 100. Paid users: up to 1,000,000.
• Proxy Configuration - Automatic proxy rotation is enabled by default to protect scraping.
• Max Concurrency - Manage parallel scraping. Lower if LinkedIn rate-limits you.

Example input:

{
  "companyUrls": [
    "https://www.linkedin.com/company/apple/",
    "https://www.linkedin.com/company/google/",
    "https://www.linkedin.com/company/microsoft/"
  ],
  "maxItems": 10,
  "maxConcurrency": 5
}

📊 Output

Each company record includes up to 23 data fields. Download as JSON, CSV, or Excel.

🏢 Company Name	🏭 Industry	📊 Company Size
👥 Employee Count	📍 Headquarters	🌐 Website URL
📖 Company Description	🎯 Specialties	👁️ Follower Count
🏛️ Organization Type	📅 Founded Date	🔗 LinkedIn URL
🎨 Company Logo	📝 Tagline	🆔 Org ID
🌍 Street Address	🏙️ City	🏘️ State
📮 Postal Code	🌎 Country	✅ Scrape Timestamp

💎 Why Choose the LinkedIn Company Profiles Scraper?

Feature	Our Actor
Extract 23+ data fields per company	✔️
No login or LinkedIn Premium required	✔️
Automatic residential proxy rotation	✔️
Batch processing with custom concurrency	✔️
Free plan: 100 companies per run	✔️
Paid plan: up to 1,000,000 companies per run	✔️
Export to CSV, Excel, or JSON	✔️
Includes logo images and branding data	✔️
Precise location breakdown by city and state	✔️
Real-time follower and engagement metrics	✔️
Handles rate-limiting gracefully	✔️

📋 How to Use

No technical skills required. Follow these simple steps:

1. Sign Up: Create a free account with $5 credit
2. Find the Tool: Search for "LinkedIn Company Profiles Scraper" in the Apify Store and set up your input
3. Run It: Click "Start" and watch your results appear

That's it. No coding, no setup, no complex configuration. Export your data in CSV, Excel, or JSON format.

🎯 Business Use Cases

• 📊 Sales Manager - Extract company size and location data to identify growth-stage startups, then build cold outreach sequences targeting decision-makers.
• 💼 Market Researcher - Collect industry and specialties information to map market trends and spot emerging sub-sectors.
• 📈 Business Development - Monitor follower count and founding date to identify high-growth companies, then reach out with partnership proposals.

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✨ Why choose this Actor

	Capability
🎯	Built for the job. Scoped specifically to this data source so you skip the parser engineering entirely.
🔖	Structured output. Clean, typed fields ready for analysis, dashboards, or downstream pipelines.
⚡	Fast. Optimized request patterns return results in seconds, not minutes.
🔁	Always fresh. Every run pulls live data, so the dataset reflects the source as of run time.
🌐	No infra to manage. Apify handles proxies, retries, scaling, scheduling, and storage.
🛡️	Reliable. Battle-tested across many runs and edge cases, with graceful error handling.
🚫	No code required. Configure in the UI, run from CLI, schedule via cron, or call from any language with the Apify SDK.

📊 Production-grade structured data without the engineering overhead of building and maintaining your own scraper.

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📈 How it compares to alternatives

Approach	Cost	Coverage	Refresh	Filters	Setup
⭐ LinkedIn Company Profiles Scraper (this Actor)	$5 free credit, then pay-per-use	Full source coverage	Live per run	Source-native filters supported	⚡ 2 min
Build your own scraper	Engineering hours	Full once built	Whenever you maintain it	Custom code	🐢 Days to weeks
Paid managed APIs	$$$ monthly	Vendor-defined	Live	Vendor-defined	⏳ Hours
Third-party data dumps	Varies	Subset, often stale	Periodic	None	🕒 Variable

Pick this Actor when you want broad coverage, server-side filtering, and no pipeline maintenance.

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🚀 How to use

1. 📝 Sign up. Create a free account with $5 credit (takes 2 minutes).
2. 🌐 Open the Actor. Go to the LinkedIn Company Profiles Scraper page on the Apify Store.
3. 🎯 Set input. Configure the input fields in the form (or paste a JSON), then set maxItems.
4. 🚀 Run it. Click Start and let the Actor collect your data.
5. 📥 Download. Grab your results in the Dataset tab as CSV, Excel, JSON, or XML.

⏱️ Total time from signup to downloaded dataset: 3-5 minutes. No coding required.

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💼 Business use cases

📊 Data & Analytics Build trend reports and dashboards from live source data Feed BI tools, warehouses, and ML pipelines with structured records Run periodic snapshots to track changes over time Compare segments, regions, or categories with consistent fields	🏢 Operations & Strategy Monitor competitor moves, pricing, and inventory shifts Build internal directories and lookup tools backed by current data Power workflows that depend on fresh source records Cut manual data-gathering time from hours to minutes
🎯 Marketing & Growth Identify market opportunities and trending topics Research target audiences and customer personas at scale Power lead-generation pipelines with verified records Track sentiment, reviews, or social signals over time	🛠️ Engineering & Product Prototype features that need real-world data without owning a crawler Replace fragile in-house scrapers with a managed Actor Wire datasets into your apps via the Apify API or webhooks Skip the proxy, retry, and parsing maintenance entirely

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🌟 Beyond business use cases

Data like this powers more than commercial workflows. The same structured records support research, education, civic projects, and personal initiatives.

🎓 Research and academia Empirical datasets for papers, thesis work, and coursework Longitudinal studies tracking changes across snapshots Reproducible research with cited, versioned data pulls Classroom exercises on data analysis and ethical scraping	🎨 Personal and creative Side projects, portfolio demos, and indie app launches Data visualizations, dashboards, and infographics Content research for bloggers, YouTubers, and podcasters Hobbyist collections and personal trackers
🤝 Non-profit and civic Transparency reporting and accountability projects Advocacy campaigns backed by public-interest data Community-run databases for local issues Investigative journalism on public records	🧪 Experimentation Prototype AI and machine-learning pipelines with real data Validate product-market hypotheses before engineering spend Train small domain-specific models on niche corpora Test dashboard concepts with live input

🤖 Ask an AI assistant about this scraper

Open a ready-to-send prompt about this ParseForge actor in the AI of your choice:

• 💬 ChatGPT
• 🧠 Claude
• 🔍 Perplexity
• 🅒 Copilot

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❓ Frequently Asked Questions

🔍 How does this work? The tool visits public LinkedIn company pages, extracts data from the page HTML and embedded metadata, and returns clean records in your preferred format.

📊 How accurate is the data? Data comes directly from LinkedIn's official company profiles, so accuracy matches LinkedIn's source. If a field is empty on LinkedIn, it will be empty in your results.

📅 Can I schedule this to run regularly? Yes, you can set up a scheduled task in the Apify platform to run this tool daily, weekly, or monthly.

⚖️ Is it legal to scrape LinkedIn? LinkedIn's terms of service restrict automated scraping for most users. Use this tool only with proper authorization or for your own company data. You are responsible for complying with LinkedIn's current terms and local laws.

🛡️ Will LinkedIn block me? Residential proxies rotate your IP address with each request, reducing detection risk. However, high concurrency can still trigger rate-limiting. Adjust the Max Concurrency setting if needed.

⚡ How long does a run take? Most runs for 50 companies complete in 2-5 minutes. Speed depends on company page complexity and your concurrency settings.

⚠️ Are there any limits? Free users can collect up to 100 results per run. Paid users can collect up to 1,000,000 results per run.

🔗 Integrate LinkedIn Company Profiles Scraper with any app

• Make - Automate workflows
• Zapier - Connect 5000+ apps
• GitHub - Version control integration
• Slack - Get notifications
• Airbyte - Data pipelines
• Google Drive - Export to spreadsheets

🔌 Integrate with any app

LinkedIn Company Profiles Scraper connects to any cloud service via Apify integrations:

• Make - Automate multi-step workflows
• Zapier - Connect with 5,000+ apps
• Slack - Get run notifications in your channels
• Airbyte - Pipe results into your warehouse
• GitHub - Trigger runs from commits and releases
• Google Drive - Export datasets straight to Sheets

You can also use webhooks to trigger downstream actions when a run finishes. Push fresh data into your product backend, or alert your team in Slack.

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💡 More ParseForge Actors

• Linkedin Profile Scraper - Extract profile data from LinkedIn user pages
• LinkedIn Jobs Scraper - Collect job listings from LinkedIn Job Search
• Reddit Profiles Scraper - Extract Reddit user and subreddit data
• Semantic Scholar Author Profiles Scraper - Collect academic author information
• Redfin Scraper - Extract real estate listing data

Browse our complete collection of data extraction tools for more.

🚀 Ready to Start?

Create a free account with $5 credit and collect your first 100 results for free. No coding, no setup.

🆘 Need Help?

• Check the FAQ section above for common questions
• Visit the Apify support page for documentation and tutorials
• Contact us to request a new scraper, propose a custom project, or report an issue at Tally contact form

⚠️ Disclaimer

This Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by LinkedIn or any of its subsidiaries. All trademarks mentioned are the property of their respective owners.

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