🚀 LinkedIn Job Scraper - Ultra Fast > Lightning-fast LinkedIn job scraping with industry-leading performance and comprehensive data extraction ## ⚡ Performance Highlights - ⚡ Ultra-Fast: 398 results in just 2m 14s - 💰 Cost-Effective: Only $0.081 per 1,000 results - 🎯 High Accuracy: Advanced anti-detection mechanisms - 🤖 AI-Ready: Perfect for n8n workflows and MCP integrations ## 📊 Performance Comparison | Metric | Our Scraper | Industry Average | |--------|-------------|------------------| | Speed | 398 jobs in 2m 14s | 100 jobs in 5-10m | | Cost | $0.80 per 1K results | $1+ per 1K results | | Success Rate | 99%+ | 85-90% | | Data Quality | Rich structured data | Basic text extraction | ## 🎯 Summary Mode Perfect for lead generation and job hunting at scale: - Job titles and companies - Locations and posting dates - Direct application links - Fast bulk extraction - Ideal for n8n automation workflows ## 🚀 Use Cases ### 🤖 AI Automation & MCP - n8n workflows for automated job monitoring - MCP (Model Context Protocol) integrations - AI-powered job matching systems - Automated lead generation pipelines ### 💼 Job Hunting & Recruitment - Bulk job discovery for recruiters - Market research and salary analysis - Competitive intelligence gathering - Automated job alerts and notifications ### 📈 Business Intelligence - Talent market analysis - Salary benchmarking - Industry trend monitoring - Competitor hiring insights ## ⚙️ Easy Configuration javascript { "keywords": "Data Engineer", "location": "San Francisco, CA", "max_jobs": 100, "date_posted": "past week", "job_type": ["full-time"], "experience_level": ["mid level"], "remote_option": ["remote", "hybrid"] } ## 🔧 Advanced Features - 🛡️ Anti-Detection: Advanced browser fingerprinting - ⚡ Concurrency: Parallel processing for maximum speed - 🔄 Smart Deduplication: Persistent job tracking across runs - 📊 Rich Metadata: JSON-LD extraction for structured data - 🌐 Global Support: Multi-location and multi-language - 🔒 Reliable: Built-in retry mechanisms and error handling ## 🚫 Persistent Deduplication Never scrape the same job twice! Our advanced deduplication system uses persistent key-value stores to remember job IDs across multiple runs. ### ✨ How It Works 1. Persistent Storage: Job IDs are stored in a named key-value store (linkedin-job-scraper---ultra-fast-and-cheap) 2. Cross-Run Memory: Previous job IDs are automatically loaded at the start of each run 3. Smart Filtering: New jobs are filtered against existing IDs before scraping 4. Clean Data: Ensures you only get fresh, unique job listings ### 🎯 Perfect For - Recurring Automation: Set up daily/weekly job monitoring without duplicates - n8n Workflows: Maintain clean datasets across automated runs - Lead Generation: Build comprehensive job databases without repetition - Market Research: Track job trends over time with unique entries ### ⚙️ Configuration javascript { "keywords": "Software Engineer", "location": "Remote", "avoid_duplicates": true, // Enable persistent deduplication "max_jobs": 500 } ### 📊 Benefits - 🔄 Zero Duplicates: 100% unique job listings - ⚡ Faster Processing: Skip already-seen jobs immediately - 💰 Cost Efficient: No wasted resources on duplicate scraping - 📈 Clean Data: Perfect for analytics and reporting - 🤖 Automation Ready: Ideal for recurring workflows ### 🔍 Access Your Data - Apify Console: View stored job IDs in Key-value stores - Local Development: Data stored in data/linkedin-job-scraper---ultra-fast-and-cheap.json - API Access: Retrieve deduplication data via Apify API ## 💡 Integration Examples ### n8n Workflow javascript // Automate job alerts with n8n { "trigger": "LinkedIn Job Scraper", "filter": "salary > 100000", "action": "Send Slack notification" }