Successfully scrape data from any website with the power of Python

About This BookA hands-on guide to web scraping with real-life problems and solutionsTechniques to download and extract data from complex websitesCreate a number of different web scrapers to extract informationWho This Book Is For

This book is aimed at developers who want to use web scraping for legitimate purposes. Prior programming experience with Python would be useful but not essential. Anyone with general knowledge of programming languages should be able to pick up the book and understand the principals involved.

What You Will LearnExtract data from web pages with simple Python programmingBuild a threaded crawler to process web pages in parallelFollow links to crawl a websiteDownload cache to reduce bandwidthUse multiple threads and processes to scrape fasterLearn how to parse JavaScript-dependent websitesInteract with forms and sessionsSolve CAPTCHAs on protected web pagesDiscover how to track the state of a crawlIn Detail

The Internet contains the most useful set of data ever assembled, 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 carefully extracted to be useful. Web scraping is becoming increasingly useful as a means to easily gather and make sense of the plethora of information available online. Using a simple language like Python, you can crawl the information out of complex websites using simple programming.

This book is the ultimate guide to using Python to scrape data from websites. In the early chapters it covers how to extract data from static web pages and how to use caching to manage the load on servers. After the basics we'll get our hands dirty with building a more sophisticated crawler with threads and more advanced topics. Learn step-by-step how to use Ajax URLs, employ the Firebug extension for monitoring, and indirectly scrape data. Discover more scraping nitty-gritties such as using the browser renderer, managing cookies, how to submit forms to extract data from complex websites protected by CAPTCHA, and so on. The book wraps up with how to create high-level scrapers with Scrapy libraries and implement what has been learned to real websites.

Style and approach

This book is a hands-on guide with real-life examples and solutions starting simple and then progressively becoming more complex. Each chapter in this book introduces a problem and then provides one or more possible solutions.

Learning Data Mining with Python