Hands-On Web Scraping with Python: Extract quality data from the web using effective Python techniques

by Anish Chapagain

Overview

Web scraping is a powerful tool for extracting data from the web, but it can be daunting for those without a technical background. Designed for novices, this book will help you grasp the fundamentals of web scraping and Python programming, even if you have no prior experience.
Adopting a practical, hands-on approach, this updated edition of Hands-On Web Scraping with Python uses real-world examples and exercises to explain key concepts. Starting with an introduction to web scraping fundamentals and Python programming, you’ll cover a range of scraping techniques, including requests, lxml, pyquery, Scrapy, and Beautiful Soup. You’ll also get to grips with advanced topics such as secure web handling, web APIs, Selenium for web scraping, PDF extraction, regex, data analysis, EDA reports, visualization, and machine learning.
This book emphasizes the importance of learning by doing. Each chapter integrates examples that demonstrate practical techniques and related skills. By the end of this book, you’ll be equipped with the skills to extract data from websites, a solid understanding of web scraping and Python programming, and the confidence to use these skills in your projects for analysis, visualization, and information discovery.

Product Details

ISBN-13:	9781837638512
Publisher:	Packt Publishing
Publication date:	10/06/2023
Sold by:	Barnes & Noble
Format:	eBook
Pages:	324
File size:	12 MB
Note:	This product may take a few minutes to download.

About the Author

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.

Table of Contents

Table of Contents

1. Web Scraping Fundamentals
2. Python programming for Data and Web
3. Searching and Processing Web Documents
4. Scraping Using PyQuery, a jQuery-Like Library for Python
5. Scraping the Web with Scrapy and Beautiful Soup
6. Working with the Secure Web
7. Data Extraction Using Web APIs
8. Using Selenium to Scrape the Web
9. Using Regular Expressions and PDFs
10. Data Mining, Analysis, and Visualization
11. Machine Learning and Web Scraping
12. After Scraping – Next Steps and Data Analysis