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

HTML <form> processing

In this section, we will be handling form processing or form submission in order to search for an activity from (ViewState). ViewState is an AJAX-based filter form.

This particular form submission is performed in multiple steps with the help of AJAX ( For more information on AJAX, please visit W3Schools AJAX: with various endpoints in the Quotes section

Let's set up the code. The pyquery and requests libraries need to be imported and the required URLs need to be collected so that they can be used. The processRequests() function, along with positional and named arguments, is used for processing requests to the provided url, with the HTTP POST and GET methods based on the params argument returning a PyQuery object as a response.

We are also interested in iterating...