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

After Scraping – Next Steps and Data Analysis

So far, we have learned how to scrape the web, analyze the data collected, and apply machine learning (ML) algorithms using Python programming.

This chapter will provide a basic introduction to some emerging concepts and technologies that are becoming crucial in the field. Being able to draw insights and knowledge from data is in high demand, and even supply-related scopes have been growing exponentially. From the fields of research to business, the importance of data has grown rapidly. Artificial intelligence (AI)-based systems, powered by ML logic, will continue to consume and generate more data.

In this chapter, we will learn about the following topics:

  • What happens after scraping?
  • Web requests
  • Data processing
  • Jobs and careers