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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

Chapagain

₱1427.99 ~~₱2040.99~~

4 (11 Ratings)

eBook Jul 2019 350 pages 1st Edition

eBook

₱1427.99 ~~₱2040.99~~

Chapagain

₱1427.99 ~~₱2040.99~~

4 (11 Ratings)

eBook Jul 2019 350 pages 1st Edition

eBook

₱1427.99 ~~₱2040.99~~

₱1427.99 ~~₱2040.99~~

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Key benefits

Learn different 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 manage complex business needs

Description

Web scraping is an essential technique used in many organizations to gather valuable data from web pages. This book will enable you to delve into web scraping techniques and methodologies. The book will introduce you to the fundamental concepts of web scraping techniques and how they can be applied to multiple sets of web pages. You'll use powerful libraries from the Python ecosystem such as Scrapy, lxml, pyquery, and bs4 to carry out web scraping operations. You will then get up to speed with simple to intermediate scraping operations such as identifying information from web pages and using patterns or attributes to retrieve information. 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. You'll even cover 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.

Who is this book for?

This 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.

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

What do you get with eBook?

Instant access to your Digital eBook purchase

Download this book in EPUB and PDF formats

Access this title in our online reader with advanced features

DRM FREE - Read whenever, wherever and however you want

AI Assistant (beta) to help accelerate your learning

Product Details

Publication date : Jul 15, 2019

Length: 350 pages

Edition : 1st

Language : English

ISBN-13 : 9781789536195

Category :

Data

Languages :

Python

Concepts :

Data Analysis

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15 Chapters

Section 1: Introduction to Web Scraping

Web Scraping Fundamentals

Introduction to web scraping

Understanding web development and technologies

Data finding techniques for the web

Summary

Further reading

Section 2: Beginning Web Scraping

Python and the Web – Using urllib and Requests

Technical requirements

Accessing the web with Python

URL handling and operations with urllib and requests

Implementing HTTP methods

Summary

Further reading

Using LXML, XPath, and CSS Selectors

Technical requirements

Introduction to XPath and CSS selector

Using web browser developer tools for accessing web content

Scraping using lxml, a Python library

Summary

Further reading

Scraping Using pyquery – a Python Library

Technical requirements

Introduction to pyquery

Exploring pyquery

Web scraping using pyquery

Summary

Further reading

Web Scraping Using Scrapy and Beautiful Soup

Technical requirements

Web scraping using Beautiful Soup

Web scraping using Scrapy

Deploying a web crawler

Summary

Further reading

Section 3: Advanced Concepts

Working with Secure Web

Technical requirements

Introduction to secure web

HTML <form> processing

Handling user authentication

Working with cookies and sessions

Summary

Further reading

Data Extraction Using Web-Based APIs

Technical requirements

Introduction to web APIs

Accessing web API and data formats

Web scraping using APIs

Summary

Further reading

Using Selenium to Scrape the Web

Technical requirements

Introduction to Selenium

Using Selenium for web scraping

Summary

Further reading

Using Regex to Extract Data

Technical requirements

Overview of regular expressions

Using regular expressions to extract data

Summary

Further reading

Section 4: Conclusion

Next Steps

Technical requirements

Managing scraped data

Analysis and visualization using pandas and matplotlib

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About the author

Chapagain

Anish Chapagain is a software engineer with a passion for data science, and artificial intelligence, its processes and Python programming, which began around 2007. He has been working with web scraping, data analysis, visualization and reporting-related tasks, projects for more than 10 years, and is also working as freelancer. Anish previously worked as a trainer, web/software developer, team leader, and as a banker, where he was exposed to data and gained further insights into topics like data mining, data analysis, reporting, information processing and knowledge discovery. He has an MSc in computer systems from Bangor University (United Kingdom), and an Executive MBA from Himalayan Whitehouse International College, Kathmandu, Nepal.

See other products by Chapagain

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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

What do you get with eBook?