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


In this chapter, we have explored and learned about the basic concepts regarding data management by using files, analysis, and visualization using pandas and matplotlib. We also introduced ML and data mining, and we also explored some related resources that can be helpful for further learning and career development.

With this chapter, we come to the end of the book! Web scraping is a broad topic that is related directly or indirectly to a number of technologies and development techniques. Throughout this book, we have learned about numerous concepts in this domain by using the Python programming language. We can also explore more of the topics related to web scraping like ML, Data mining, Web scraping, AI and Python programming. These topics are worth exploring from a knowledge and career perspective.