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

Exploring pyquery

Before we move on and explore pyquery and its features, let's start by installing it by using pip:

C:\> pip install pyquery
For more information on using pip and library installation, please refer to the Setting things up section in Chapter 2, Python and the Web – Using urllib and Requests.

The following libraries are installed on a successful installation of pyquery using pip:

  • cssselect-1.0.3
  • lxml-4.3.1
  • pyquery-1.4.0

>>> in the code represents the use of the Python IDE; it accepts the code or instructions and displays the output on the next line.

Once the installation is completed and successful, we can use pyquery, as shown in the following code, to confirm the setup. We can explore the properties it contains by using the dir() function:

>>> from pyquery import PyQuery as pq

>>> print(dir(pq))
['Fn', ...