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Web Scraping with Python (Paperback)
Loot Price: R719
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Web Scraping with Python (Paperback)
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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.
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