Web Scraping

Scraping is getting harder to control as bots become more sophisticated. This practical guide shows security engineers, SREs and platform architects how to build anti-scraping defenses that work at scale, from traffic analysis and behavioral detection to rate limiting, challenges, observability and continuous adaptation.

Build web scrapers that survive the real world. This hands-on guide takes you from Scrapy fundamentals to scalable production systems, with practical patterns for asynchronous crawling, clean data pipelines, testing, deployment and resilient architectures. Packed with runnable Python examples, it gives you the skills to scrape smarter, faster and at scale.

See what your network traffic is really revealing. This practical guide breaks down TLS fingerprinting, JA3/JA4 and HTTP client identification, then shows you how to put them to work with Python, Go and Rust. From protocol internals to production pipelines, learn how to identify clients at scale without losing sight of privacy or operational reality.

Build crawlers that perform at scale without becoming a security liability, then learn to spot and stop the bots targeting your systems. Packed with production-ready code, real-world architectures and practical case studies, this book takes you deep into crawling, fingerprinting, bot detection, WAFs, machine learning and incident response.