Book Image

Python Web Scraping - Second Edition

By : Katharine Jarmul
Book Image

Python Web Scraping - Second Edition

By: Katharine Jarmul

Overview of this book

The Internet contains the most useful set of data ever assembled, most of which is publicly accessible for free. However, this data is not easily usable. It is embedded within the structure and style of websites and needs to be carefully extracted. Web scraping is becoming increasingly useful as a means to gather and make sense of the wealth of information available online. This book is the ultimate guide to using the latest features of Python 3.x to scrape data from websites. In the early chapters, you'll see how to extract data from static web pages. You'll learn to use caching with databases and files to save time and manage the load on servers. After covering the basics, you'll get hands-on practice building a more sophisticated crawler using browsers, crawlers, and concurrent scrapers. You'll determine when and how to scrape data from a JavaScript-dependent website using PyQt and Selenium. You'll get a better understanding of how to submit forms on complex websites protected by CAPTCHA. You'll find out how to automate these actions with Python packages such as mechanize. You'll also learn how to create class-based scrapers with Scrapy libraries and implement your learning on real websites. By the end of the book, you will have explored testing websites with scrapers, remote scraping, best practices, working with images, and many other relevant topics.
Table of Contents (10 chapters)

How threads and processes work

Here is a diagram of a process containing multiple threads of execution:

When a Python script or any other computer program is run, a process is created, containing the code and state, as well as the stack. These processes are executed by the CPU cores of a computer. However, each core can only execute a single thread at a time and will quickly switch between them to give the impression that multiple programs are running simultaneously. Similarly, within a process, the program execution can switch between multiple threads, with each thread executing different parts of the program.

This means that when one thread is waiting for a web page to download, the process can switch and execute another thread to avoid wasting CPU cycles. So, using all the compute resources on our computer to download data as fast as possible requires distributing our downloads across multiple threads and processes...