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)

Caching Downloads

In the previous chapter, we learned how to scrape data from crawled web pages and save the results to a CSV file. What if we now want to scrape an additional field, such as the flag URL? To scrape additional fields, we would need to download the entire website again. This is not a significant obstacle for our small example website; however, other websites can have millions of web pages, which could take weeks to recrawl. One way scrapers avoid these problems is by caching crawled web pages from the beginning, so they only need to be downloaded once.
In this chapter, we will cover a few ways to do this using our web crawler.

In this chapter, we will cover the following topics:

  • When to use caching
  • Adding cache support to the link crawler
  • Testing the cache
  • Using requests - cache
  • Redis cache implementation