LinkedIn Profile Scraper

The most comprehensive LinkedIn data extraction toolkit available. Pull thousands of profiles per day without triggering detection.

What's Included — Full Source Code:

• Complete Node.js application with Puppeteer/Playwright
• Residential proxy rotation module
• Stealth browser fingerprint randomization
• CSV/JSON export pipeline
• SQLite local database for deduplication

Core Features:

• Search scraping — extract from LinkedIn search results by keyword, title, location, company, industry
• Profile enrichment — pull full profile data: headline, summary, experience, education, skills, certifications
• Email discovery — pattern-matching algorithm finds work emails from name + company domain
• Company pages — scrape employee counts, recent hires, tech stack signals
• Anti-detection — randomized delays, human-like scrolling, fingerprint rotation, cookie management
• Parallel workers — run 5-20 concurrent browser sessions for maximum throughput

Output Format:

• Full name, headline, location, current company, title
• Email (discovered), phone (if public), LinkedIn URL
• Skills array, endorsement counts
• Experience history with dates
• Education history
• CSV, JSON, or direct database insert

Tech Stack:

• Node.js + TypeScript
• Puppeteer / Playwright (configurable)
• Residential proxy integration (BrightData, Oxylabs, or custom)
• SQLite for local storage
• Optional: PostgreSQL for team deployments

Rate Limits Handled:

• Automatic session rotation on soft blocks
• Warm-up mode for new accounts
• Configurable daily extraction caps
• Built-in cool-down periods

Extract 500-2,000 profiles per day per account with proper configuration. Includes detailed setup guide and proxy provider recommendations.