LinkedIn Profile Scraper Extract detailed information from LinkedIn profiles quickly and easily. Get comprehensive data including work experience, education, connections, and more. ## Features - ✅ Scrape multiple LinkedIn profiles at once - ✅ Extract complete profile information - ✅ Get work experience and education history - ✅ Retrieve connection and follower counts - ✅ Export data in JSON format - ✅ Fast and reliable processing ## How It Works This actor uses a two-step process: 1. Generate Snapshot ID: Submit LinkedIn profile URLs to start the scraping process 2. Fetch Data: After 30 seconds, retrieve your scraped data using the snapshot ID Why two steps? This approach ensures reliable data collection and prevents timeouts for large scraping jobs. ## Input ### Required Fields - Action (required): Choose between: - generate_snap_id - Start a new scraping job - fetch_data - Retrieve results from a completed job ### For "Generate Snapshot ID" Action - LinkedIn Profile URLs (required): Enter LinkedIn profile URLs, one per line ### For "Fetch Data" Action - Snapshot ID (required): The ID you received from the generate step ## Input Examples ### Step 1: Start Scraping json { "action": "generate_snap_id", "urls": "https://www.linkedin.com/in/williamhgates/\nhttps://www.linkedin.com/in/satyanadella/\nhttps://www.linkedin.com/in/jeffweiner08/" } Result: You'll receive a snapshot ID like linkedIn_profile_s_abc123xyz ### Step 2: Get Your Data (Wait 30 seconds first!) json { "action": "fetch_data", "snap_id": "linkedIn_profile_s_abc123xyz" } ## Output ### Data Fields Extracted - Full Name - Current Position & Company - Location (City, Country) - Professional Summary - Complete Work Experience - Education History - Skills - Number of Connections - Number of Followers - Profile URL - Profile Picture ### Example Output json { "name": "Bill Gates", "city": "Seattle", "country_code": "us", "about": "Co-chair of the Bill & Melinda Gates Foundation. Founder of Breakthrough Energy...", "current_company": { "name": "Bill & Melinda Gates Foundation", "location": "Seattle, WA", "link": "https://www.linkedin.com/company/bill-&-melinda-gates-foundation" }, "experience": [ { "title": "Co-chair", "company": "Bill & Melinda Gates Foundation", "duration": "2000 - Present", "location": "Seattle, Washington" } ], "education": [ { "school": "Harvard University", "degree": "Attended", "field_of_study": "Computer Science", "dates": "1973 - 1975" } ], "followers": 35720000, "connections": "500+", "url": "https://www.linkedin.com/in/williamhgates/", "avatar": "https://media.licdn.com/dms/image/..." } ## Important: Wait Time ⚠️ You must wait at least 30 seconds between steps 1 and 2 The scraping process needs time to gather all the data. If you try to fetch data too soon, you may get an error or incomplete results. Pro tip: Set a timer for 30 seconds after receiving your snapshot ID! ## Step-by-Step Guide 1. Prepare Your URLs - Collect the LinkedIn profile URLs you want to scrape - Make sure they're complete URLs (starting with https://) 2. Start the Job - Set Action to "Generate Snapshot ID" - Paste your URLs (one per line) - Click Run - Copy the snapshot ID from the results 3. Wait - Set a timer for 30 seconds - Grab a coffee ☕ 4. Get Your Data - Set Action to "Fetch Data" - Paste the snapshot ID you copied - Click Run - Your data will appear in the dataset! ## Tips & Best Practices ### URL Format ✅ Correct: https://www.linkedin.com/in/username/ ❌ Incorrect: linkedin.com/in/username (missing https://) ❌ Incorrect: https://www.linkedin.com/in/username/details/experience/ (too specific) ### Batch Processing - You can scrape up to 100 profiles at once - Each URL should be on a new line - No commas or separators needed ### Error Handling If data fetching fails: 1. Wait another 30 seconds 2. Try fetching again with the same snapshot ID 3. Check that your snapshot ID is complete and correct ## Use Cases - Recruitment: Research candidates and their backgrounds - Sales Prospecting: Gather information about potential leads - Market Research: Analyze professionals in specific industries - Networking: Research people before connecting - Competitive Analysis: Study profiles of competitors' employees ## Pricing & Limits - Charged per profile scraped - No limit on number of profiles per run - Snapshot IDs are valid for 24 hours - Data is available in your dataset for 7 days ## Common Questions Q: How long does the snapshot ID remain valid? A: 24 hours. After that, you'll need to generate a new one. Q: Can I scrape profiles from different countries? A: Yes, any public LinkedIn profile worldwide. Q: What if a profile is private? A: Only publicly visible information will be extracted. Private profiles may return limited data. Q: Can I use the same snapshot ID multiple times? A: Yes! You can fetch data multiple times with the same snapshot ID within 24 hours. Q: What happens if I don't wait 30 seconds? A: You may receive an error or incomplete data. Always wait at least 30 seconds. ## Data Format All data is returned in JSON format and automatically saved to your Apify dataset. You can export it as: - JSON - CSV - Excel - XML - RSS ## Support Having issues? Here's how to get help: 1. Check the Logs: The run logs contain detailed error messages 2. Common Issues: - "Invalid snapshot ID" → Check you copied the full ID - "Data not ready" → Wait longer before fetching - "Invalid URL" → Verify your LinkedIn URLs are correct 3. Contact Support: Reach out through Apify support for assistance ## Privacy & Legal - This actor only accesses publicly available information - Respect LinkedIn's Terms of Service - Use scraped data responsibly and in compliance with applicable laws - Do not use for spam or unauthorized purposes ## Updates & Changelog We regularly update this actor to ensure compatibility with LinkedIn's structure. Check back for improvements and new features! --- Happy Scraping! 🚀