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Kouzis-Loukas - Learning Scrapy: learn the art of efficient web scraping and crawling with Python

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Kouzis-Loukas Learning Scrapy: learn the art of efficient web scraping and crawling with Python
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Learn the art of efficient web scraping and crawling with Python

About This Book

  • 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

      Who This Book Is For

      If you are a software developer, data scientist, NLP or machine-learning enthusiast or just need to migrate your companys 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
    • Push your data into any database, search engine or analytics system
    • Configure your spider to download files, images and use proxies
    • Create efficient...
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    Learning Scrapy

    Learning Scrapy

    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

    Credits

    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

    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.

    About the Reviewer

    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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    Preface

    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.

    What this book covers

    , 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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