Learning Scrapy -
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Learning Scrapy -


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About the Book

Learn the art of efficient web scraping and crawling with Python About This Book * Learn how to create efficient pipelines that shape data in the form you want *Explore techniques to extract data from any source to perform real time analytics for quick decision making *Develop your skills with hands-on guide for web scraping and crawling with real-life problems and solutions Who This Book Is For If you are a software developer, data scientist, NLP or machine-learning enthusiast or just need to migrate your company's wiki from a legacy platform, then this book is for you. It is perfect for someone, who needs instant access to large amounts of semi-structured data effortlessly. What You Will Learn * Understand HTML pages and write XPath to extract the data you need *Write Scrapy spiders with simple Python and do web crawls over news portal and online shops *Push your data into any database, search engine or analytics system *Discover the steps involved in scraping Javascript sites with Selenium *Use Twisted Asynchronous API to process hundreds of items concurrently *Make your crawler super-fast by learning how to tune Scrapy's performance through best practices *Perform large scale distributed crawls with scrapyd and scrapinghub In Detail Scrapy is an application framework designed specially for crawling web sites and extracting meaningful data which can be used for wide range of applications such as data mining, information processing and many more.This book will provide you with the rundown explaining all the required concepts and fundamentals of Scrapy 1.4 framework, followed by thorough description with practical examples to extract data from different sources ranging from simple to complex websites. You will learn how to clean the data up and shape it as per your requirement using Python and third party APIs. You will explore the steps involved in scraping online data from online shops like eBay and from news portal like CNN and BBC news. You will also get a hands on experience of using Scrapy with Selenium. You will learn how to build and run web spiders and deploy them to Scrapy cloud. Next you will be introduced to the process of storing the scrapped data in databases as well as search engines to perform real time analytics with Spark Streaming. You will also be familiarized with the best practices that you can follow to get the optimum result. By the end of this book, you will perfect the art of scraping data for your applications and apply them in your projects with ease

About the Author :
Dimitrios Kouzis-Loukas has over fifteen years experience as a topnotch software developer. He uses his acquired knowledge and expertise to teach a wide range of audiences how to write great software, as well. He studied and mastered several disciplines, including mathematics, physics, and microelectronics. His thorough understanding of these subjects helped him raise his standards beyond the scope of "pragmatic solutions." He knows that true solutions should be as certain as the laws of physics, as robust as ECC memories, and as universal as mathematics. Dimitrios now develops distributed, low-latency, highly-availability systems using the latest datacenter technologies. He is language agnostic, yet has a slight preference for Python, C++, and Java. A firm believer in open source software and hardware, he hopes that his contributions will benefit individual communities as well as all of humanity.


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Product Details
  • ISBN-13: 9781788627450
  • Publisher: Packt Publishing Limited
  • Publisher Imprint: Packt Publishing Limited
  • Edition: Revised edition
  • Language: English
  • Width: 191 mm
  • ISBN-10: 1788627458
  • Publisher Date: 30 Mar 2018
  • Binding: Paperback
  • Height: 235 mm
  • No of Pages: 365


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