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Collect and scrape different complexities of data from the modern Web using the latest tools, best practices, and techniquesKey Features Learn various scraping techniques using a range of Python libraries such as Scrapy and Beautiful Soup Build scrapers and crawlers to extract relevant information from the web Automate web scraping operations to bridge the accuracy gap and ease complex business needs Book DescriptionWeb scraping is an essential technique used in many organizations to scrape valuable data from web pages. This book will enable you to delve deeply into web scraping techniques and methodologies.This book will introduce you to the fundamental concepts of web scraping techniques and how they can be applied to multiple sets of web pages. Well use powerful libraries from the Python ecosystemsuch as Scrapy, lxml, pyquery, bs4, and othersto carry out web scraping operations. We will take an in-depth look at essential tasks to carry out simple to intermediate scraping operations such as identifying information from web pages, using patterns or attributes to retrieve information, and others. This book adopts a practical approach to web scraping concepts and tools, guiding you through a series of use cases and showing you how to use the best tools and techniques to efficiently scrape web pages. This book also covers the use of other popular web scraping tools, such as Selenium, Regex, and web-based APIs.By the end of this book, you will have learned how to efficiently scrape the web using different techniques with Python and other popular tools.What you will learn Analyze data and Information from web pages Learn how to use browser-based developer tools from the scraping perspective Use XPath and CSS selectors to identify and explore markup elements Learn to handle and manage cookies Explore advanced concepts in handling HTML forms and processing logins Optimize web securities, data storage, and API use to scrape data Use Regex with Python to extract data Deal with complex web entities by using Selenium to find and extract data Who this book is forThis book is for Python programmers, data analysts, web scraping newbies, and anyone who wants to learn how to perform web scraping from scratch. If you want to begin your journey in applying web scraping techniques to a range of web pages, then this book is what you need! A working knowledge of the Python programming language is expected.Table of Contents Web Scraping Fundamentals Python and the Web - Using urllib and Requests Using LXML, XPath, and CSS Selectors Scraping Using pyquery - a Python Library Web Scraping Using Scrapy and Beautiful Soup Working with Secure Web Data Extraction Using Web-Based APIs Using Selenium to Scrape the Web Using Regex to Extract Data Next Steps

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Hands-On Web Scraping with Python
Perform advanced scraping operations using various Python libraries and tools such as Selenium, Regex, and others
Anish Chapagain

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BIRMINGHAM - MUMBAI
Hands-On Web Scraping with Python

Copyright 2019 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 or its dealers and distributors, will be held liable for any damages caused or alleged to have been 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.

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First published: June 2019

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ISBN 978-1-78953-339-2

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To my daughter, Aasira, and my family and friends. Special thanks to Ashish Chapagain,
Peter, and Prof. W.J. Teahan. This book is dedicated to you all.
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Contributors
About the author

Anish Chapagain is a software engineer with a passion for data science, its processes, and Python programming, which began around 2007. He has been working with web scraping and analysis-related tasks for more than 5 years, and is currently pursuing freelance projects in the web scraping domain. Anish previously worked as a trainer, web/software developer, and as a banker, where he was exposed to data and gained further insights into topics including data analysis, visualization, data mining, information processing, and knowledge discovery. He has an MSc in computer systems from Bangor University (University of Wales), United Kingdom, and an Executive MBA from Himalayan Whitehouse International College, Kathmandu, Nepal.

About the reviewers

Radhika Datar h as more than 5 years' experience in software development and content writing. She is well versed in frameworks such as Python, PHP, and Java, and regularly provides training on them. She has been working with Educba and Eduonix as a training consultant since June 2016, while also working as a freelance academic writer in data science and data analytics. She obtained her master's degree from the Symbiosis Institute of Computer Studies and Research and her bachelor's degree from K. J. Somaiya College of Science and Commerce .

Rohit Negi completed his bachelor of technology in computer science from Uttarakhand Technical University, Dehradun. His bachelor's curriculum included a specialization in computer science and applied engineering. Currently, he is working as a senior test consultant at Orbit Technologies and provides test automation solutions to LAM Research (USA clients). He has extensive quality assurance proficiency working with the following tools: Microsoft Azure VSTS, Selenium, Cucumber/BDD, MS SQL/MySQL, Java, and web scraping using Selenium. Additionally, he has a good working knowledge of how to automate workflows using Selenium, Protractor for AngularJS-based applications, Python for exploratory data analysis, and machine learning.

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Preface

Web scraping is an essential technique used in many organizations to scrape valuable data from web pages. Web scraping, or web harvesting, is done with a view to extracting and collecting data from websites. Web scraping comes in handy with model development, which requires data to be collected on the fly. It is also applicable for the data that is true and relevant to the topic, in which the accuracy is desired over the short-term, as opposed to implementing datasets. Data collected is stored in files including JSON, CSV, and XML, is also written a the database for later use, and is also made available online as datasets. This book will open the gates for you in terms of delving deep into web scraping techniques and methodologies using Python libraries and other popular tools, such as Selenium. By the end of this book, you will have learned how to efficiently scrape different websites.

Who this book is for

This book is intended for Python programmers, data analysts, web scraping newbies, and anyone who wants to learn how to perform web scraping from scratch. If you want to begin your journey in applying web scraping techniques to a range of web pages, then this book is what you need!

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