Web Scraping with Python


Title : Web Scraping with Python
Edition : 
Year : 2015
Authors : Richard Lawson
Publisher : Packt

Preface
The Internet contains the most useful set of data ever assembled, which is largely publicly accessible for free. However, this data is not easily reusable. It is embedded within the structure and style of websites and needs to be extracted to be useful. This process of extracting data from web pages is known as web scraping and is becoming increasingly useful as ever more information is available online.

What this book covers
Chapter 1, Introduction to Web Scraping, introduces web scraping and explains ways to crawl a website.
Chapter 2, Scraping the Data, shows you how to extract data from web pages.
Chapter 3, Caching Downloads, teaches you how to avoid redownloading by caching results.
Chapter 4, Concurrent Downloading, helps you to scrape data faster by downloading in parallel.
Chapter 5, Dynamic Content, shows you how to extract data from dynamic websites.
Chapter 6, Interacting with Forms, shows you how to work with forms to access the data you are after.
Chapter 7, Solving CAPTCHA, elaborates how to access data that is protected by CAPTCHA images.
Chapter 8, Scrapy, teaches you how to use the popular high-level Scrapy framework.
Chapter 9, Overview, is an overview of web scraping techniques that have been covered.

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