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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
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
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 approachThis 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.
- Sales Rank: #330138 in Books
- Published on: 2015-10-28
- Released on: 2015-10-28
- Original language: English
- Number of items: 1
- Dimensions: 9.25" h x .40" w x 7.50" l, .68 pounds
- Binding: Paperback
- 174 pages
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.
Most helpful customer reviews
4 of 5 people found the following review helpful.
Fantastic resource
By Tim Crothers
Hands down the best resource I've found for practical examples of how to write web scrapers in Python. The author's style is very easy to read and very practical focused. He also clearly knows the subject inside and out and does a great job of not only showing you actual working code to do everything but also covers multiple approaches for different situations as well as key pitfalls to avoid.
1 of 1 people found the following review helpful.
Whirlwind Tour of Web Scraping Employing Python
By Amazon Customer
The background requirement for the book would be a basic understanding of websites and python.
Specifically about websites one should know that content is laid out in HTML and JavaScript allows dynamic things that may alter HTML. Also useful but not required, how requests are sent back and forth from a user client to a web server.
Specifically about python one should know how to load and use functions from a module and how to install new modules.
The book gives a world wind tour of the process and existing python tools to enable: web crawling (how to grab html content from a server) and
web scraping (how to extract actual data from the content)
The first two chapters introduce the basic web scraping scenario and the later chapters introduce complications to the process and tools/approaches to handle them.
The book provides a great high level idea of web scraping and provides a self contained python starter kit to get up and running. It’s a short read at 175 pages with very accessible content with links to get more detailed documentation. The site also offers a practice website to try out scraping techniques.
I came to the book with previous exposure to various python web scraping tools that I pieced together from the web (from tutorials, blogs, stackoverflow). I really enjoyed the self contained nature of the whole web scraping process that the book provides. This book would have saved me a LOT of time and pain had it been available when I got started with web scraping. Having said that, I still learned a few things – specifically the CAPTCHA tools and some basic utilities that I can employ in my day to day python.
I recommend this book for anyone who is just starting out with web scraping or is already familiar with scraping but wants to learn how to employ python to the cause. Once you read the book, there is significant opportunity to explore the individual tools further.
2 of 3 people found the following review helpful.
A Smorgasbord of scraping techniques.
By John Osborne
If you are looking for ways to automatically gather and curate data off of webpages, this book is probably for you. There is a chapter on scrapy, a chapter on dealing with CAPTCHA, a chapter on handling dynamic (ie javascript based) pages, and a chapter on concurrent downloads, plus a few others covering housekeeping details like parsing scraped pages and caching. All in all, a book that provides a broad foundation on web scraping.
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