⚡ LinkedIn Jobs Scraper - Cheap & Fast Scrape 500+ LinkedIn jobs with company logos - NO login required! ## 🎯 Key Features - 🎨 Company Logos - Extract company logo URLs automatically - 📊 500+ Jobs - Advanced pagination for unlimited results - ⚡ FAST - Optimized performance for quick results - 🔓 NO LOGIN - Public job search, no cookies needed - 🎛️ Full Control - Configure concurrency, retries, delays - 🔒 Privacy-First - No URLs or job IDs in logs ## 💰 Pricing $20/month - Simple subscription pricing - ✅ 31% cheaper than leading competitor ($29/month) - ✅ 3-day free trial - ✅ Unlimited jobs - ✅ All features included - ✅ Cancel anytime ## 🆚 Why Choose Us? | Feature | Our Scraper | Leading Competitor | |---------|-------------|-------------------| | Monthly Price | ✅ $20 | ❌ $29 | | Company Logos | ✅ YES 🎨 | ❌ Often missing | | Max Results | ✅ 500+ | ❌ Limited | | Speed | ✅ Fast | ❌ Slower | | Login Required | ❌ NO | ✅ Often YES | | Configurable | ✅ 5 parameters | ❌ Limited | ## 📊 Input Example json { "title": "Software Engineer", "location": "United States", "rows": 100, "publishedAt": "r604800", "proxy": { "useApifyProxy": true } } ### 🌍 Location Matching We automatically resolve locations to the correct region: - Input: "Berlin" → Resolved to: "Berlin, Berlin, Germany" ✅ - Input: "London" → Resolved to: "London, England, United Kingdom" ✅ - Input: "Paris" → Resolved to: "Paris, Île-de-France, France" ✅ 💡 Best Practice: For ambiguous location names (e.g., "Berlin" exists in Germany AND USA), use the full name: - ✅ Recommended: "Berlin, Germany" or "Berlin, Deutschland" - ⚠️ Avoid: "Berlin" (might match Berlin, Connecticut, USA) If multiple matches are found, we automatically use the first (most relevant) result and show you which one was selected in the logs. ### Performance Tuning Parameters 🏎️ Fast Mode (for quick results): json { "concurrency": 15, "pageDelay": 0, "retryDelay": 1, "maxRetries": 1 } ⚖️ Balanced (recommended - lower costs): json { "concurrency": 10, "pageDelay": 1, "retryDelay": 2, "maxRetries": 3 } 🛡️ Stable (maximum reliability): json { "concurrency": 5, "pageDelay": 2, "retryDelay": 5, "maxRetries": 5 } 💡 Tip: Use balanced settings to keep your platform costs low! ## 📈 Output Fields Each job includes 20+ fields: - jobId, title, companyName, companyId, companyUrl - 🎨 companyLogo - Company logo image URL - location, jobUrl, publishedAt, postedTime - salary, description, descriptionHtml - contractType, experienceLevel, workType, sector - applicationsCount - Application count (approximate ranges) - applyUrl, applyType Note about applicationsCount: LinkedIn provides approximate ranges, not exact numbers: - 20 = "20 or fewer applications" - 50 = "About 50 applications" - 200 = "200 or more applications" ## 🚀 How It Works NO browser overhead! Optimized HTTP-based approach: 1. Access LinkedIn's public job listings 2. Parse structured data efficiently 3. Fetch detailed job information in parallel 4. Push results incrementally for real-time access Result: Cheaper & faster than browser-based scrapers! ## 💡 Cost Optimization Tips Minimize your platform costs: 1. Use AUTO/DATACENTER proxies (not RESIDENTIAL) - Residential proxies are 50x more expensive - Our scraper works perfectly with cheaper proxies 2. Use balanced settings (default) - Don't increase concurrency unnecessarily - Lower retries if not needed 3. Filter your searches - Use specific locations instead of "United States" - Filter by publishedAt (recent jobs only) - Filter by company if searching specific employers Example cost savings: - Residential proxies: ~$30/month - Datacenter proxies: ~$2/month - Save $28/month! ## 📝 License Proprietary - Contact for commercial use. ## 🎁 Try It Free 3-day free trial - No credit card required! Test all features and see the quality before subscribing. --- Built for performance, priced for everyone.* 🚀