Hands-On Web Scraping with Python - Second Edition
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Hands-On Web Scraping with Python - Second Edition
By:
Overview of this book
Web scraping is a powerful tool for extracting data from the web, but it can be daunting for those without a technical background. Designed for novices, this book will help you grasp the fundamentals of web scraping and Python programming, even if you have no prior experience.
Adopting a practical, hands-on approach, this updated edition of Hands-On Web Scraping with Python uses real-world examples and exercises to explain key concepts. Starting with an introduction to web scraping fundamentals and Python programming, you’ll cover a range of scraping techniques, including requests, lxml, pyquery, Scrapy, and Beautiful Soup. You’ll also get to grips with advanced topics such as secure web handling, web APIs, Selenium for web scraping, PDF extraction, regex, data analysis, EDA reports, visualization, and machine learning.
This book emphasizes the importance of learning by doing. Each chapter integrates examples that demonstrate practical techniques and related skills. By the end of this book, you’ll be equipped with the skills to extract data from websites, a solid understanding of web scraping and Python programming, and the confidence to use these skills in your projects for analysis, visualization, and information discovery.
Table of Contents (20 chapters)
Preface
Part 1:Python and Web Scraping
Free Chapter
Chapter 1: Web Scraping Fundamentals
Chapter 2: Python Programming for Data and Web
Part 2:Beginning Web Scraping
Chapter 3: Searching and Processing Web Documents
Chapter 4: Scraping Using PyQuery, a jQuery-Like Library for Python
Chapter 5: Scraping the Web with Scrapy and Beautiful Soup
Part 3:Advanced Scraping Concepts
Chapter 6: Working with the Secure Web
Chapter 7: Data Extraction Using Web APIs
Chapter 8: Using Selenium to Scrape the Web
Chapter 9: Using Regular Expressions and PDFs
Part 4:Advanced Data-Related Concepts
Chapter 10: Data Mining, Analysis, and Visualization
Chapter 11: Machine Learning and Web Scraping
Part 5:Conclusion
Chapter 12: After Scraping – Next Steps and Data Analysis
Index
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