💼 LinkedIn Company Profiles Scraper

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

📋 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.

⚠️ 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.

📊 Data fields

Each record includes: city, companySize, country, coverImageUrl, crunchbaseUrl, description, employeeCount, followerCount, fundingRounds, headquarters, industry, jobsUrl, lastFundingType, linkedinUrl, locations, logoUrl, name, orgId, organizationType, postalCode, scrapedAt, similarCompanies, specialties, state, streetAddress, universalName, website. All 27 field names come from a real production run, so what you see here is what lands in your dataset.

🆘 Need Help?

If you hit a bug, have questions about setup, or need a scraper we haven't built yet, open our contact form or write to parseforge@protonmail.com. We also take on paid custom data projects.

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