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About the Book
Unlock the full potential of web scraping with modern, AI-driven techniques and automation. The "Modern Web Scraping using AI and automation" is a practical guide that teaches you how to build robust, scalable, and intelligent scraping workflows using Python, Playwright, undetected-chromedriver, and the Chrome DevTools MCP. Learn how to extract structured data from complex, JavaScript-heavy websites, handle anti-bot defenses, and integrate Large Language Models (LLMs) for automated content understanding, summarization, and semantic reasoning.
Packed with hands-on examples, this book covers proxy strategies, CAPTCHA handling, network-level scraping, and serverless deployment, providing you with the tools to transform raw web content into actionable insights. Whether you’re a software engineer, data scientist, or AI enthusiast, this guide shows how to build ethical, compliant, and future-proof scraping pipelines that power analytics, machine learning, and AI applications.
Keywords: web scraping, AI-powered scraping, Playwright, browser automation, undetected-chromedriver, Chrome DevTools MCP, LLM scraping, Python scraping, data extraction, automation pipelines, ethical web scraping
About the Author
Senior Software Engineer who possesses a wealth of experience in applying Engineering methodologies, Web Automation, Bots, and Scrapers to solve complex problems. With a demonstrated track record of providing exemplary service, he has helped numerous clients on various freelance platforms as a Top Rated Professional.
In addition, he established an agency that focuses primarily on delivering cutting-edge automation tools and technologies, web applications, and exceptional data mining and analysis services to its clients. His expertise has helped clients achieve their goals, and he has also contributed significantly to mentorship programs where he has imparted his knowledge and expertise to young talents.
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