Book Image

Hands-On Web Scraping with Python - Second Edition

By : Anish Chapagain
Book Image

Hands-On Web Scraping with Python - Second Edition

By: Anish Chapagain

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)
1
Part 1:Python and Web Scraping
4
Part 2:Beginning Web Scraping
8
Part 3:Advanced Scraping Concepts
13
Part 4:Advanced Data-Related Concepts
16
Part 5:Conclusion

Using Regular Expressions and PDFs

So far, we have learned about and explored some of the core Python libraries in the context of web communication, content reading, and browser automation, for data finding and extraction.

Regular expressions (also referred to as Regex, regex, or RegEx – we will use regex throughout the rest of this chapter) are built using a predefined set of characters to form a pattern used for searching and similar activities. In Chapters 3 and 4, when carrying out web scraping, we tested and applied various available features, such as CSS selectors, XPath, and PyQuery, to find and locate specific types of activities. Regex helps us with pattern matching – we are knowingly or unknowingly using regex most of the time while working on documents or any textual content.

In a data-related context, it is very hard to avoid activities such as finding, searching, and matching. Regex provides us with a simple and elegant approach to dealing with such...