Book Image

Hands-On Web Scraping with Python

By : Anish Chapagain
Book Image

Hands-On Web Scraping with Python

By: Anish Chapagain

Overview of this book

Web scraping is an essential technique used in many organizations to gather valuable data from web pages. This book will enable you to delve into web scraping techniques and methodologies. The book will introduce you to the fundamental concepts of web scraping techniques and how they can be applied to multiple sets of web pages. You'll use powerful libraries from the Python ecosystem such as Scrapy, lxml, pyquery, and bs4 to carry out web scraping operations. You will then get up to speed with simple to intermediate scraping operations such as identifying information from web pages and using patterns or attributes to retrieve information. This book adopts a practical approach to web scraping concepts and tools, guiding you through a series of use cases and showing you how to use the best tools and techniques to efficiently scrape web pages. You'll even cover the use of other popular web scraping tools, such as Selenium, Regex, and web-based APIs. By the end of this book, you will have learned how to efficiently scrape the web using different techniques with Python and other popular tools.
Table of Contents (16 chapters)
Free Chapter
Section 1: Introduction to Web Scraping
Section 2: Beginning Web Scraping
Section 3: Advanced Concepts
Section 4: Conclusion

What this book covers

Chapter 1, Web Scraping Fundamentals, explores some core technologies and tools that are relevant to WWW and that are required for web scraping.

Chapter 2, Python and the Web – Using URLlib and Requests, demonstrates some of the core features available through the Python libraries such as requests and urllib, in addition to exploring page contents in various formats and structures.

Chapter 3, Using LXML, XPath, and CSS Selectors, describes various examples using LXML, implementing a variety of techniques and library features to deal with elements and ElementTree.

Chapter 4, Scraping Using pyquery – a Python Library, goes into more detail regarding web scraping techniques and a number of new Python libraries that deploy these techniques.

Chapter 5, Web Scraping Using Scrapy and Beautiful Soup, examines various aspects of traversing web documents using Beautiful Soup, while also exploring a framework that was built for crawling activities using spiders, in other words, Scrapy.

Chapter 6, Working with Secure Web, covers a number of basic security-related measures and techniques that are often encountered and that pose a challenge to web scraping.

Chapter 7, Data Extraction Using Web-Based APIs, covers the Python programming language and how to interact with the web APIs with regard to data extraction.

Chapter 8, Using Selenium to Scrape the Web, covers Selenium and how to use it to scrape data from the web.

Chapter 9, Using Regex to Extract Data, goes into more detail regarding web scraping techniques using regular expressions.

Chapter 10, Next Steps, introduces and examines basic concepts regarding data management using files, and analysis and visualization using pandas and matplotlib, while also providing an introduction to machine learning and data mining and exploring a number of related resources that can be helpful in terms of further learning and career development.