LinkedIn Company Information Scraper Extract comprehensive company data from LinkedIn including company details, employees, posts, funding information, and much more. ## Features - ✅ Scrape detailed company profiles - ✅ Get employee listings - ✅ Extract recent company posts - ✅ Retrieve funding & investor data - ✅ Find similar and affiliated companies - ✅ Export all data in structured format ## How It Works Two-Step Process: 1. Generate Snapshot ID: Submit company URLs to start scraping 2. Fetch Data: After 30 seconds, retrieve your complete company data ## Input ### Action Selection - Generate Snapshot ID: Start a new scraping job - Fetch Data: Retrieve results from a completed job ### Input Fields For Generate Snapshot ID: - LinkedIn Company URLs (required): Company page URLs, one per line For Fetch Data: - Snapshot ID (required): The ID from the generate step ## Input Examples ### Step 1: Start Scraping json { "action": "generate_snap_id", "urls": "https://www.linkedin.com/company/microsoft/\nhttps://www.linkedin.com/company/google/\nhttps://www.linkedin.com/company/apple/" } ### Step 2: Get Data (Wait 30 seconds!) json { "action": "fetch_data", "snap_id": "linkedIn_profile_s_company456" } ## Data Extracted ### Company Information - Company name and ID - Headquarters location - All office locations - Company description - Industries and specialties - Company size - Organization type - Website URL - Logo and cover images - Founded year - Follower count - Employee count on LinkedIn ### Employee Data - Employee names - Job titles - Profile links - Profile pictures ### Company Activity - Recent posts and updates - Post engagement (likes, comments, shares) - Post content (text, images, videos) - Post dates ### Business Details - Funding information - Investor lists - Crunchbase URL - Similar companies - Affiliated companies ## Example Output json { "name": "Microsoft", "headquarters": "Redmond, Washington", "locations": [ "Seattle, WA", "New York, NY", "San Francisco, CA" ], "about": "Every company has a mission. What's ours? To empower every person and every organization on the planet to achieve more...", "specialties": [ "Business Software", "Developer Tools", "Cloud Computing", "Artificial Intelligence" ], "industries": [ "Software Development", "IT Services and IT Consulting" ], "company_size": "10,001+ employees", "organization_type": "Public Company", "website": "https://www.microsoft.com", "founded": 1975, "followers": 20540000, "employees_in_linkedin": 221000, "employees": [ { "name": "Satya Nadella", "title": "Chairman and CEO at Microsoft", "link": "https://www.linkedin.com/in/satyanadella/", "image": "https://..." } ], "updates": [ { "title": "Introducing Microsoft AI", "text": "We're excited to announce...", "date": "2024-01-15", "likes": 12500, "comments": 450, "images": ["https://..."] } ], "similar_companies": [ { "name": "Google", "type": "Software Company", "location": "Mountain View, California" } ] } ## Step-by-Step Guide ### 1. Prepare URLs Collect LinkedIn company page URLs you want to scrape ### 2. Generate Snapshot ID - Set action to "Generate Snapshot ID" - Paste company URLs (one per line) - Run the actor - Save the snapshot ID you receive ### 3. Wait 30 Seconds The scraping process needs time to collect all data ### 4. Fetch Your Data - Set action to "Fetch Data" - Enter your snapshot ID - Run the actor - Data appears in your dataset! ## Important Notes ⚠️ 30-Second Wait Required Always wait at least 30 seconds between generating and fetching. Premature fetching may result in errors. ⚠️ Valid URLs Only Use complete LinkedIn company page URLs like: https://www.linkedin.com/company/company-name/ ## Use Cases ### Business Intelligence - Competitive analysis and benchmarking - Market research and industry trends - Company profiling for investments ### Sales & Marketing - Lead generation and qualification - Account-based marketing research - Customer discovery ### Recruitment - Company research for job seekers - Talent pool analysis - Employer branding insights ### Investment Research - Due diligence on potential investments - Funding and growth tracking - Competitor landscape analysis ## Tips & Best Practices ### Getting Complete Data - Use official company pages (not showcase pages) - Larger companies have more employee data - Recent companies may have limited history ### Batch Processing - Scrape multiple companies at once - No limit on number of companies per run - Each URL on a new line ### Data Quality - Verify company URLs before scraping - Check that pages are public - Some data may be limited based on LinkedIn's visibility rules ## Common Questions Q: How recent are the company posts? A: The most recent posts available on the company's LinkedIn page, typically the last 10-20 posts. Q: Can I get all employees of a company? A: You'll get a sample of employees featured on the company page. For complete employee lists, use the People Search actor. Q: What if the company has multiple locations? A: All listed locations will be included in the output. Q: How often is the data updated? A: Data is scraped in real-time when you run the actor, so it's always current. Q: Can I scrape private companies? A: Only publicly visible information on LinkedIn will be extracted. ## Data Export Options Export your data in multiple formats: - JSON: For developers and API integration - CSV: For Excel and data analysis - Excel: Ready-to-use spreadsheets - XML: For system integration - RSS: For feed readers ## Pricing - Charged per company scraped - No additional fees for employee data or posts - Snapshot IDs valid for 24 hours ## Error Handling ### "Data not ready" → Wait longer (up to 60 seconds for large companies) ### "Invalid URL" → Check that you're using company page URLs, not personal profiles ### "Snapshot expired" → Generate a new snapshot ID ## Privacy & Compliance - Only public LinkedIn data is collected - No login or cookies required - Complies with public data access - Use responsibly and ethically ## Support Need help? 1. Check the run logs for detailed error messages 2. Verify your input format matches the examples 3. Contact Apify support for technical issues --- Start scraping company data today! 🏢