Web Scraping APIs vs DIY Scrapers: When to Stop Building Infrastructure

Web Scraping APIs vs DIY Scrapers: When to Stop Building Infrastructure Every developer starts scraping the same way. Write a Python script, send some requests, parse the HTML. It works. Then you need to scrape a site with bot protection and suddenly you are shopping for proxies, patching headless browsers, and debugging TLS fingerprints at 2 AM. There is a point where building your own scraping infrastructure stops being productive and starts being a second job. The question is where that line is for your specific use case. What You Build When You DIY A production scraping stack is not just a script. Here is the full inventory: Request layer. HTTP client with proper TLS fingerprinting, header management, cookie handling, redirect following. Proxy layer. Pool management, rotation logic, health checks, cost tracking, failover between proxy types. Browser layer. Headless Chrome/Playwright instances, memory management, crash recovery, stealth patches, session isolation. Anti-bot layer. CA