Web Scraping with Python: Successfully scrape data from any website with the power of Python (Community Experience Distilled)

Richard Lawson

ISBN 10: 1782164367 / ISBN 13: 9781782164364

Published by Packt Publishing 28 O, 2015

About this Item

Web Scraping with Python: Successfully scrape data from any website with the power of Python (Community Experience Distilled) This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping. . Seller Inventory # 7719-9781782164364

Bibliographic Details

Title: Web Scraping with Python: Successfully ...

Publisher: Packt Publishing 28 O

Publication Date: 2015

Binding: Paperback

Condition: Very Good

About this title

Synopsis:

Successfully scrape data from any website with the power of Python

About This Book

• A hands-on guide to web scraping with real-life problems and solutions
• Techniques to download and extract data from complex websites
• Create a number of different web scrapers to extract information

Who 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 Learn

• Extract data from web pages with simple Python programming
• Build a threaded crawler to process web pages in parallel
• Follow links to crawl a website
• Download cache to reduce bandwidth
• Use multiple threads and processes to scrape faster
• Learn how to parse JavaScript-dependent websites
• Interact with forms and sessions
• Solve CAPTCHAs on protected web pages
• Discover how to track the state of a crawl

In 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.

About the Author:

Richard Lawson

Richard Lawson is from Australia and studied Computer Science at the University of Melbourne. Since graduating, he built a business specializing at web scraping while traveling the world, working remotely from over 50 countries. He is a fluent Esperanto speaker, conversational at Mandarin and Korean, and active in contributing to and translating open source software. He is currently undertaking postgraduate studies at Oxford University and in his spare time enjoys developing autonomous drones.