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Learning Scrapy, by Dimitrios Kouzis-Loukas
Free PDF Learning Scrapy, by Dimitrios Kouzis-Loukas
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Key Features
- Extract data from any source to perform real time analytics.
- Full of techniques and examples to help you crawl websites and extract data within hours.
- A hands-on guide to web scraping and crawling with real-life problems and solutions
This book covers the long awaited Scrapy v 1.0 that empowers you to extract useful data from virtually any source with very little effort. It starts off by explaining the fundamentals of Scrapy framework, followed by a thorough description of how to extract data from any source, clean it up, shape it as per your requirement using Python and 3rd party APIs. Next you will be familiarised with the process of storing the scrapped data in databases as well as search engines and performing real time analytics on them with Spark Streaming. By the end of this book, you will perfect the art of scarping data for your applications with ease
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
- Push your data into any database, search engine or analytics system
- Configure your spider to download files, images and use proxies
- Create efficient pipelines that shape data in precisely the form you want
- Use Twisted Asynchronous API to process hundreds of items concurrently
- Make your crawler super-fast by learning how to tune Scrapy's performance
- Perform large scale distributed crawls with scrapyd and scrapinghub
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.
Table of Contents- Sales Rank: #1048526 in Books
- Published on: 2016-01-30
- Released on: 2016-01-30
- Original language: English
- Number of items: 1
- Dimensions: 9.25" h x .61" w x 7.50" l, 1.03 pounds
- Binding: Paperback
- 270 pages
About the Author
Dimitrios Kouzis-Loukas
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.
Most helpful customer reviews
3 of 3 people found the following review helpful.
Doesn't cover Javascript but otherwise great and fun
By Michail
Doesn't cover Javascript but otherwise great and fun!
To be fair, nobody covers Javascript sites and not sure it's possible. Selenium is very slow. Still this covers every aspect of high performance Scrapy crawling and starts with examples of making mobile applications and running on the cloud that are very exciting. This book is great fun!
0 of 0 people found the following review helpful.
Very good book with nice examples
By Iraklis Anagnostopoulos
I use python more for simulations (SimPy) and scientific computing (Pandas). However, I needed to use Scrapy for a separate project. I chose that book and it really helped me. The text is well written with a clear structure and a nice flow. Also the examples are very helpful and well explained. Actually, the book gave me some ideas for further development of my personal project. I totally recommend the book for learning Scrapy and having a hands-on experience.
1 of 1 people found the following review helpful.
Must have book for every Web-scraping professional.
By Alexander Afanasiev
I've been using Scrapy extensively and helping others in web-scraping with Scrapy for several years in a row.
Project documentation covers the basics only and is missing a lot of real-world examples, recommended conventions and guidelines. This book provides a very detailed overview of the framework, showing it form multiple angles and on different levels (starts with a beginner level to several, pretty much advanced parts), includes multiple recipes, speaks about things beyond Scrapy and moving it into production, performance, distributed crawling and much more.
Really enjoyed reading it and learned a lot of new things.
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