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


Selecting the right libraries and frameworks does depend on the project scope. Users are free to choose libraries and experience the online process.

In this chapter, we have used and explored various aspects of traversing web documents using Beautiful Soup and have explored a framework built for crawling activities using Spiders: Scrapy. Scrapy provides a complete framework to develop a crawler and is effective using XPath and CSS Selectors with support for the data export. Scrapy projects can also be deployed using Scraping hub to experience the live performance of the deployed Spider and enjoy features provided by the Scrapings hub (Scrapy Cloud) at

In the next chapter, we will explore more information regarding scraping data from the web.