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Web Scraping with Python

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by Richard Lawson
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Web Scraping with Python by Richard Lawson

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 build reliable solutions to scrape data from websites. It is assumed that the reader has prior programming experience with Python. Anyone with general knowledge of programming languages should be able to pick up the book and understand the principles involved.

What You Will Learn

  • Follow links to crawl a website
  • Extract data from web pages with lxml
  • Build a threaded crawler to process web pages in parallel
  • Cache downloads to reduce bandwidth
  • Learn how to parse JavaScript-dependent websites
  • Interact with forms and sessions
  • Solve CAPTCHAs on protected web pages
  • Reverse engineer AJAX calls
  • Create high level scrapers with Scrapy

In Detail

Web scraping is becoming increasingly useful as a way to easily gather and make sense of the plethora of information available online. Using a simple language such as Python, you can scrape complex websites with little programming.

This book is the ultimate guide to using Python to scrape data from websites. It covers how to extract data from static web pages and how to use caching to manage the load on servers. Learn how to use AJAX URLs, employ the Firebug extension. Discover more scraping nitty-gritties such as using a browser renderer, managing cookies, submitting forms to extract data from complex websites protected by CAPTCHA, and so on. Finally, create high-level scrapers with Scrapy and implement what has been learned on real websites.

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Ebook Details
Pages: 174
Size: 5.4 MB
Publisher: Packt Publishing
Date published:   2015
ISBN: 9781782164371 (DRM-EPUB)

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Copying:not allowed
Printing:not allowed
Read Aloud:  not allowed

This product is listed in the following categories:

Nonfiction > Computers > Internet > World Wide Web
Nonfiction > Computers > Internet > World Wide Web > Web Programming
Nonfiction > Computers > Programming > Open Source

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