A Python Guide for Web Scraping: Explore Python Tools, Web Scraping Techniques, and How to Automata Data for Industrial Applications (English Edition)
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About this ebook
In this book, we started with the basics of Python and its syntactical information. We briefed about the use cases and features of Python. We have explained the importance of Python in automation systems. Furthermore, we have added information about real-time industrial examples. We have concentrated and deep-dived into Python’s importance in web scraping, explained the different tools and their usages. We have explained the real-time industrial domain-wise use cases for web scraping.
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Book preview
A Python Guide for Web Scraping - Pradumna Milind Panditrao
A Python
Guide for Web
Scraping
Explore Python Tools, Web Scraping
Techniques, and How to Automata
Data for Industrial Applications
Pradumna Milind Panditrao
www.bpbonline.com
FIRST EDITION 2021
Copyright © BPB Publications, India
ISBN: 978-93-90684-991
All Rights Reserved. No part of this publication may be reproduced, distributed or transmitted in any form or by any means or stored in a database or retrieval system, without the prior written permission of the publisher with the exception to the program listings which may be entered, stored and executed in a computer system, but they can not be reproduced by the means of publication, photocopy, recording, or by any electronic and mechanical means.
LIMITS OF LIABILITY AND DISCLAIMER OF WARRANTY
The information contained in this book is true to correct and the best of author’s and publisher’s knowledge. The author has made every effort to ensure the accuracy of these publications, but publisher cannot be held responsible for any loss or damage arising from any information in this book.
All trademarks referred to in the book are acknowledged as properties of their respective owners but BPB Publications cannot guarantee the accuracy of this information.
Distributors:
BPB PUBLICATIONS
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Ph: 23254990/23254991
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Published by Manish Jain for BPB Publications, 20 Ansari Road, Darya Ganj, New Delhi-110002 and Printed by him at Repro India Ltd, Mumbai
www.bpbonline.com
Dedicated to
My beloved Parents:
Shri Milind Panditrao, Smita Panditrao
&
My wife Suchitra and My Daughter Rajvika
About the Author
I am Pradumna Panditrao. I have done Masters in Networking & Telecommunication. I have a total of 8+ years of experience in various domains like Software Development, DevOps Automation tools, Data mining Crawling tools, Cloud Technologies, Hardware Profiling. I have published a paper on Cognitive Radio, 4G Technology Algorithms. Currently working as Sr. Software Engineer as DevOps tool Developer. I have given Embedded software development Lectures and Lab demo sessions at BitsPilani Goa in 2014-2015
About the Reviewer
Vibhu Bansal is an entrepreneur and founder of ITSYS Solutions. He has about 22 years’ experience in software development. From an early age, he had an interest in data and analytics and worked on numerous MIS applications for private sector and government organizations in India. Under him, ITSYS Solutions his been providing web scraping services since 2007 to businesses in North America & Europe.
Acknowledgement
There are a few people I want to thank for the continued and ongoing support they have given me during the writing of this book. First and foremost, I would like to thank my parents for continuously encouraging me for writing the book — I could have never completed this book without their support.
I am grateful to the course and the companies which gave me support throughout the learning process of web scraping and very important to learn the tools related to web scraping.
Thank you for the all hidden support provided. I gratefully acknowledged Mr. Vibhu Bansal for his kind technical scrutiny for this book.
My gratitude also goes to the team at BPB Publications for being supportive enough to provide me quite a long time to finish the first part of the book and also allow me to publish the book in multiple parts, since image processing, being a vast and very active area of research, it was impossible to deep-dive into different class of problems in a single book, especially by not making it too voluminous.
Preface
This book covers many different aspects of web scraping, the importance of automation of web scraping. This book also introduces the importance of web scraping in the field of real time industry. It shows how the data is important for the industries. This book solves the basic understanding towards web scraping / crawling in the data world. It also gives importance for python learning. So that python’s basic concepts get refreshed. This book gives information about the usefulness of Python in web scraping as well.
This book takes a practical approach for web scraping learners. It covers few realtime industry examples as well. It will cover information such as Python Basically used for automation, machine learning. It can be used for easy data manipulating and transforming. Used in different domains for data mining purposes. You can design API access frameworks for end to end automation in different domains like finance, retails etc.
This book is divided into 10 chapters. They will cover Python basics, basics and advance in web scraping, why python is better for web scraping, real time example in web scraping etc. So learners can get more interest in web scraping tools as well.The details are listed below.
Chapter 1 will learn what is Python, Why python is a better language apart from other Programming languages. In Python Basics, covers the key features of python. Will explain about how python is easy to learn. Will explain about the internals for Python. Will explain about different modules, packages in Python. I will give some more information about python’s Capability of object-oriented, high level programming Language. Will explain about the debugging capability of Python, and how it is more convenient. Python is an interpreter language and there are extensive standard libraries available. Will explain about the memory structure of Python. Differnece in Python version 2.x vs 3.x. Will give details about Installation of Python on different Operating Systems.
Chapter 2 will cover Python Use cases, will explain in the case. Give basic details about Python syntax. When to use and what to use in case of different varieties of examples.
Chapter 3 will cover As Python is Object-oriented Language, we can use