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Hands-On Web Scraping with Python
Hands-On Web Scraping with Python

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

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Hands-On Web Scraping with Python

Web Scraping Fundamentals

In this chapter, we will learn about and explore certain fundamental concepts related to web scraping and web-based technologies, assuming that you have no prior experience of web scraping.

So, to start with, let's begin by asking a number of questions:

  • Why is there a growing need or demand for data?
  • How are we going to manage and fulfill the requirement for data with resources from the World Wide Web (WWW)?

Web scraping addresses both these questions, as it provides various tools and technologies that can be deployed to extract data or assist with information retrieval. Whether its web-based structured or unstructured data, we can use the web scraping process to extract data and use it for research, analysis, personal collections, information extraction, knowledge discovery, and many more purposes.

We will learn general techniques that are...

Introduction to web scraping

Scraping is the process of extracting, copying, screening, or collecting data. Scraping or extracting data from the web (commonly known as websites or web pages, or internet-related resources) is normally termed web scraping.

Web scraping is a process of data extraction from the web that is suitable for certain requirements. Data collection and analysis, and its involvement in information and decision making, plus research-related activities, make the scraping process sensitive for all types of industry.

The popularity of the internet and its resources is causing information domains to evolve every day, which is also causing a growing demand for raw data. Data is the basic requirement in the fields of science, technology, and management. Collected or organized data is processed with varying degrees of logic to obtain information and gain further insights...

Understanding web development and technologies

A web page is not only a document container. Today's rapid developments in computing and web technologies have transformed the web into a dynamic and real-time source of information.

At our end, we (the users) use web browsers (such as Google Chrome, Firefox Mozilla, Internet Explorer, and Safari) to access information from the web. Web browsers provide various document-based functionalities to users and contain application-level features that are often useful to web developers.

Web pages that users view or explore through their browsers are not only single documents. Various technologies exist that can be used to develop websites or web pages. A web page is a document that contains blocks of HTML tags. Most of the time, it is built with various sub-blocks linked as dependent or independent components from various interlinked...

Data finding techniques for the web

There are various technologies that can be used for developing a website. The content presented to end users using web browsers can also exist in various other formats and patterns.

As discussed earlier, dynamic generation or manipulation of the contents of web page are also possible. Page content can also include static content rendered with HTML and associated technologies, or presented and created on the fly. Content can also be retrieved using third-party sources and presented to end users.

HTML page source

Web browsers are used for client-server based GUI interaction exploring web content. The browser address bar is supplied with the web address or URL, and the requested URL is communicated...

Summary

In this chapter, we have explored some core technologies and tools that are relevant to the World Wide Web and that are required for web scraping.

Identifying and exploring content via an introduction to web development tools, and seeking page URLs for target data, were the main focus of this chapter.

In the next chapter, we will be using the Python programming language to interact with the web, and exploring major web-related Python libraries, which we'll use to examine web contents.

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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

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Jul 15, 2019
Length: 350 pages
Edition : 1st
Language : English
ISBN-13 : 9781789533392
Category :
Languages :
Concepts :
Tools :

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Product Details

Publication date : Jul 15, 2019
Length: 350 pages
Edition : 1st
Language : English
ISBN-13 : 9781789533392
Category :
Languages :
Concepts :
Tools :

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Table of Contents

15 Chapters
Section 1: Introduction to Web Scraping Chevron down icon Chevron up icon
Web Scraping Fundamentals Chevron down icon Chevron up icon
Section 2: Beginning Web Scraping Chevron down icon Chevron up icon
Python and the Web – Using urllib and Requests Chevron down icon Chevron up icon
Using LXML, XPath, and CSS Selectors Chevron down icon Chevron up icon
Scraping Using pyquery – a Python Library Chevron down icon Chevron up icon
Web Scraping Using Scrapy and Beautiful Soup Chevron down icon Chevron up icon
Section 3: Advanced Concepts Chevron down icon Chevron up icon
Working with Secure Web Chevron down icon Chevron up icon
Data Extraction Using Web-Based APIs Chevron down icon Chevron up icon
Using Selenium to Scrape the Web Chevron down icon Chevron up icon
Using Regex to Extract Data Chevron down icon Chevron up icon
Section 4: Conclusion Chevron down icon Chevron up icon
Next Steps Chevron down icon Chevron up icon
Other Books You May Enjoy Chevron down icon Chevron up icon

Customer reviews

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(11 Ratings)
5 star 72.7%
4 star 0%
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2 star 9.1%
1 star 18.2%
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Anne Aug 20, 2019
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Easy to understand and follow through. It's a must have.
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Bishrut Sep 24, 2019
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Great description
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Rafael Jun 12, 2022
Full star icon Full star icon Full star icon Full star icon Full star icon 5
i did some exercise and this an error that i get it.URLError: <urlopen error [SSL: CERTIFICATE_VERIFY_FAILED] certificate verify failed: certificate has expired (_ssl.c:1129)>
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Alok Dhungel Dec 13, 2019
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Easy tools used for processed for scraping. Got a chance to learn Selenium from different aspect. But images printed in the book are not very clear.
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Frustrated Grad student Dec 12, 2019
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Great book precise language when it comes to understanding Python. Well suited for the beginner and advanced programmers can benefit as well.
Amazon Verified review Amazon
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