Dimitrios Kouzis-Loukas - Learning Scrapy
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- Book:Learning Scrapy
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- Year:2016
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- 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 Scrapys 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- Introducing Scrapy
- Understanding HTML and XPath
- Basic Crawling
- From Scrapy to a Mobile App
- Quick Spider Recipes
- Deploying to Scrapinghub
- Configuration and Management
- Programming Scrapy
- Pipeline Recipes
- Understanding Scrapys Performance
- Distributed Crawling with Scrapyd and Real-Time Analytics
- Installing and troubleshooting prerequisite software
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Copyright 2016 Packt Publishing
All rights reserved. No part of this book may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, without the prior written permission of the publisher, except in the case of brief quotations embedded in critical articles or reviews.
Every effort has been made in the preparation of this book to ensure the accuracy of the information presented. However, the information contained in this book is sold without warranty, either express or implied. Neither the author, nor Packt Publishing, and its dealers and distributors will be held liable for any damages caused or alleged to be caused directly or indirectly by this book.
Packt Publishing has endeavored to provide trademark information about all of the companies and products mentioned in this book by the appropriate use of capitals. However, Packt Publishing cannot guarantee the accuracy of this information.
First published: January 2016
Production reference: 1220116
Published by Packt Publishing Ltd.
Livery Place
35 Livery Street
Birmingham B3 2PB, UK.
ISBN 978-1-78439-978-8
www.packtpub.com
Author
Dimitrios Kouzis-Loukas
Reviewer
Lazar Telebak
Commissioning Editor
Akram Hussain
Acquisition Editor
Subho Gupta
Content Development Editor
Kirti Patil
Technical Editor
Siddhesh Ghadi
Copy Editor
Priyanka Ravi
Project Coordinator
Nidhi Joshi
Proofreader
Safis Editing
Indexer
Monica Ajmera Mehta
Graphics
Disha Haria
Production Coordinator
Nilesh R. Mohite
Cover Work
Nilesh R. Mohite
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.
Lazar Telebak is a freelance web developer specializing in web scraping, crawling, and indexing web pages using Python libraries/frameworks.
He has worked mostly on projects that deal with automation and website scraping, crawling, and exporting data to various formats, including CSV, JSON, XML, and TXT, and databases such as MongoDB, SQLAlchemy, and Postgres.
He also has experience in frontend technologies and the languages: HTML, CSS, JS, and jQuery.
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Let me take a wild guess. One of these two stories is curiously similar to yours:
Your first encounter with Scrapy was while searching the net for something along the lines of "web scraping Python". You had a quick look at it and thought, "This is too complex...I just need something simple." You went on and developed a Python script using requests, struggled a bit with beautiful soup, but finally made something cool. It was kind of slow, so you let it run overnight. You restarted it a few times, ignored some semi-broken links and non-English characters, and in the morning, most of the website was proudly on your hard disk. Sadly, for some unknown reason, you didn't want to see your code again. The next time you had to scrape something, you went directly to scrapy.org and this time the documentation made perfect sense. Scrapy now felt like it was elegantly and effortlessly solving all of the problems that you faced, and it even took care of problems you hadn't thought of yet. You never looked back.
Alternatively, your first encounter with Scrapy was while doing research for a web-scraping project. You needed something robust, fast, and enterprise-grade, so most of the fancy one-click web-scraping tools were out of question. You needed it to be simple but at the same time flexible enough to allow you to customize its behavior for different sources, provide different types of output feeds, and reliably run 24/7 in an automated manner. Companies that provided scraping as a service seemed too expensive and you were more comfortable using open source solutions than feeling locked on vendors. From the very beginning, Scrapy looked like a clear winner.
No matter how you got here, I'm glad to meet you on a book that is entirely devoted to Scrapy. Scrapy is the secret of web-scraping experts throughout the world. They know how to maneuver it to save them hours of work, deliver stellar performance, and keep their hosting bills to an absolute minimum. If you are less experienced and you want to achieve their results, unfortunately, Google will do you a disservice. The majority of Scrapy information on the Web is either simplistic and inefficient or complex. This book is an absolute necessity for everyone who wants accurate, accessible, and well-organized information on how to make the most out of Scrapy. It is my hope that it will help the Scrapy community grow even further and give it the wide adoption that it rightfully deserves.
, Introducing Scrapy , will introduce you to this book and Scrapy, and will allow you to set clear expectations for the framework and the rest of the book.
, Understanding HTML and XPath , aims to bring web-crawling beginners up to speed with the essential web-related technologies and techniques that we will use thereafter.
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