Python Web Scraping

Knowledge base for building production-grade Python web scraping systems. Covers the full stack from target assessment through production observability.

When to Use

• Assessing a target site's protection level and choosing the right tools
• Discovering API endpoints via network traffic interception (Playwright/Patchright)
• Extracting data from rendered pages when no API is available
• Bypassing anti-bot systems (Cloudflare, DataDome, PerimeterX)
• Configuring TLS/HTTP fingerprint impersonation (curl_cffi, primp)
• Setting up stealth browser automation (Patchright, Camoufox, Nodriver)
• Designing proxy architecture with tiered escalation
• Solving CAPTCHAs programmatically (CapSolver, 2Captcha, playwright-captcha)
• Building production scraping pipelines (Scrapy, Crawlee)
• Adding rate limiting and observability to scraping systems

Core Workflow