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PYTHON PROGRAMMING FOR WEB SCRAPING [#994179]
Free Download PYTHON PROGRAMMING FOR WEB SCRAPING : Harnessing the Power of Beautiful Soup and Scrapy for Effective Web Data Extraction and Analysis by Charlie J. Barrett
English | July 30, 2025 | ISBN: B0FKN937G7 | 203 pages | EPUB | 1.22 Mb
Is the data you need trapped behind websites, forcing you into hours of mind-numbing manual copying and pasting? In a world where data is the new gold, the ability to automatically gather, structure, and analyze information from the web isn't just a technical skill-it's a professional superpower. This book is your comprehensive guide to acquiring that superpower.
"Python Programming for Web Scraping" takes you on a journey from a complete beginner to a professional data engineer, capable of tackling any data extraction challenge. Forget brittle, basic scripts. You will master the full, modern toolkit for web scraping with Python. Start with the surgical precision of Beautiful Soup to parse HTML from any page. Graduate to the industrial might of Scrapy, the asynchronous framework for building large-scale, lightning-fast web crawlers. When you hit the wall of the modern dynamic web, you will learn to smash through it with Playwright, automating a real browser to handle jаvascript, infinite scroll, logins, and more.
Imagine what you could build. An automated e-commerce price tracker that alerts you to the best deals, saving you real money. A real estate data aggregator that uncovers market trends hidden within dynamic, map-based portals. A system to gather data for your next machine learning project or to gain a critical competitive edge in your business. This book doesn't just teach you the "how"-it shows you the "why" with two major, real-world capstone projects. You will not just learn to write code; you will learn to think like a data architect, building robust, ethical, and resilient systems that can operate autonomously and evade sophisticated anti-scraping measures. You will learn to clean and analyze your findings with Pandas, turning raw data into compelling, visual insights.
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