Project Description: We need an experienced web scraping engineer to build a reliable data extraction system from modern, protected websites. Target sites use advanced anti-bot protections (Cloudflare, Akamai) and JavaScript-rendered content, so this role is not suitable for basic scrapers. Goals: Scrape structured data from protected business listing websites Normalize and export data for automation workflows Build a stable, maintainable, production-ready scraper Responsibilities: Scrape data from JavaScript-heavy sites Ethically bypass bot-detection systems Handle pagination, infinite scroll, dynamic loading Implement human-like behavior (delays, scrolling, session handling) Extract structured fields (title, price, location, description, contact info) Add logging, retries, error handling Deliver clean, well-documented code Required Skills: Playwright or Puppeteer expertise Proven experience with Cloudflare/Akamai Anti-bot detection knowledge Headless/headful browsers, user-agent rotation, session/cookie handling Python Clean, modular scraper design' Nice to Have: Proxy services (residential/rotating IPs) Google Sheets/API integrations Automation tools (n8n, Zapier, Make) VPS deployment Expectations: Working prototype before full build Clear explanation of approach Honest discussion of limitations/maintenance Professional communication & fast feedback cycles To Apply: Share your experience with Cloudflare/Akamai Tools you’d use and why Example projects/code (if possible) Estimated timeline for prototype please write "Akamai" in head of your proposal