LinkedIn People Search Scraper 🔍 Extract professional profiles from LinkedIn using powerful search filters. Perfect for talent acquisition, lead generation, competitive analysis, and business development. ## 🌟 Features - Advanced Search Filters: Search by name, job title, company, location, school, and more - Bulk Profile Extraction: Get up to 1,000 profiles per run - Rich Profile Data: Extract names, emails, phone numbers, job titles, companies, and more - Multiple Data Views: Choose from Overview, Full Data, or Contact Info views - Cost Effective: Only $10 per 1,000 profiles - Fast & Reliable: Powered by enterprise-grade infrastructure ## 📋 Input Parameters All parameters are optional, but at least one must be provided: ### Basic Search - Name Search Keywords: Search by name (e.g., "John Smith") - First Name: Filter by first name - Last Name: Filter by last name ### Professional Filters - Job Title: Filter by position (e.g., "Software Engineer", "CEO", "Marketing Manager") - Company: Filter by company name (e.g., "Google", "Microsoft") - School: Filter by educational institution (e.g., "Stanford University") ### Location & Language - Geocode Location: Filter by location (e.g., "San Francisco, CA", "London, UK") - Profile Language: Filter by profile language (e.g., "en", "fr", "es") ### Advanced Filters - Current Company ID: Filter by LinkedIn company ID (numeric) - Industry ID: Filter by LinkedIn industry ID - Service Category ID: Filter by LinkedIn service category ID ### Results - Maximum Results: Number of profiles to retrieve (1-1000, default: 100) ## 📊 Output Data Each profile includes: ### Core Information - Full name - Email address (when available) - Phone number (when available) - Current company - Job title - LinkedIn profile URL - Location - Industry - Professional headline ### Additional Data - Number of connections - Profile image URL - Professional summary - Work experience - Education history - Skills list - Verification status ### Metadata - Scrape timestamp - Unique lead ID - Profile index - Data quality indicator - Search criteria used ## 🚀 Usage Examples ### Example 1: Find Software Engineers in San Francisco json { "jobTitle": "Software Engineer", "geocodeLocation": "San Francisco, CA", "maxResults": 50 } ### Example 2: Find Marketing Managers at Tech Companies json { "jobTitle": "Marketing Manager", "company": "Google", "maxResults": 100 } ### Example 3: Find Stanford Alumni in New York json { "school": "Stanford University", "geocodeLocation": "New York, NY", "maxResults": 75 } ### Example 4: Search by Name and Company json { "nameSearchKeywords": "Sarah Johnson", "company": "Microsoft", "maxResults": 25 } ## 💰 Pricing - Cost: $9.99 per 1,000 results - Estimated Cost: Displayed after each run - No Hidden Fees: Pay only for successful profile extractions ## 🎯 Use Cases ### Recruitment & HR - Find qualified candidates for open positions - Build talent pipelines by location and skills - Research competitors' team structures ### Sales & Business Development - Generate B2B leads in target industries - Find decision-makers at target companies - Build prospect lists for outreach campaigns ### Market Research - Analyze workforce trends by location - Research company leadership teams - Study industry professional networks ### Competitive Analysis - Monitor competitor hiring patterns - Track talent movement in your industry - Identify key players and influencers ## 📈 Data Quality - Professional Grade: Enterprise-quality data extraction - Verified Profiles: Includes verification status when available - Fresh Data: Real-time scraping with timestamps - Comprehensive: Multiple data views for different use cases ## 🔧 Integration Options ### Export Formats - JSON - CSV - Excel (XLSX) - RSS ### API Access - Full Apify API support - Webhook integrations - Scheduled runs - Custom workflows ### Platform Integrations - Zapier - Make (Integromat) - n8n - Custom API endpoints ## 📝 Best Practices 1. Start Broad, Then Narrow: Begin with general search terms, then refine 2. Combine Filters: Use multiple filters for more targeted results 3. Check Sample Data: Review first few results before scaling up 4. Respect Rate Limits: Use appropriate delays between large batches 5. Verify Data: Always validate contact information before outreach ## ⚙️ Technical Details - Runtime: Node.js 18 - Memory: 1 GB recommended - Timeout: 3,600 seconds default - Max Results Per Run: 1,000 profiles - API Version: 1.0.0 ## 🛟 Support & Resources - Documentation: Full API Docs - Get More Tools: LinkFinder AI - Support Email: support@unlimited-leads.online - Issues: Report bugs via GitHub Issues ## 🔐 Privacy & Compliance This tool respects LinkedIn's terms of service and applicable data protection regulations. Users are responsible for ensuring their use complies with: - GDPR (EU) - CCPA (California) - LinkedIn Terms of Service - Other applicable laws and regulations Always obtain proper consent before contacting individuals and respect opt-out requests. ## 📜 License ISC License - See LICENSE file for details ## 🆕 Version History ### 1.0.0 (Current) - Initial release - Support for 11 search filters - Multiple data export views - Comprehensive profile extraction - Cost estimation and reporting --- Made with ❤️ by Unlimited Leads Get more powerful scraping tools and integrations at LinkFinder AI