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Hands-On Web Scraping with Python

You're reading from Hands-On Web Scraping with Python Perform advanced scraping operations using various Python libraries and tools such as Selenium, Regex, and others

Product type Paperback

Published in Jul 2019

Publisher Packt

ISBN-13 9781789533392

Length 350 pages

Edition 1st Edition

Languages

Python

Tools

Selenium

Concepts

Data Analysis

Author (1):

Anish Chapagain

View More author details

Table of Contents (16) Chapters

Preface

1. Section 1: Introduction to Web Scraping FREE CHAPTER

2. Web Scraping Fundamentals

3. Section 2: Beginning Web Scraping

4. Python and the Web – Using urllib and Requests

5. Using LXML, XPath, and CSS Selectors

6. Scraping Using pyquery – a Python Library

7. Web Scraping Using Scrapy and Beautiful Soup

8. Section 3: Advanced Concepts

9. Working with Secure Web

10. Data Extraction Using Web-Based APIs

11. Using Selenium to Scrape the Web

12. Using Regex to Extract Data

13. Section 4: Conclusion

14. Next Steps

15. Other Books You May Enjoy

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Technical requirements

A web browser (Google Chrome or Mozilla Firefox) is required for this chapter. We will be using the following Python libraries:

requests
re
bs4

If these libraries don't exist in your current Python setup, refer to Chapter 2, Python and the Web – Using urllib and Requests, the Setting things up section, for more information on their installation and how to set them up.

The code files for this chapter are available in this book's GitHub repository: https://github.com/PacktPublishing/Hands-On-Web-Scraping-with-Python/tree/master/Chapter09.

Those of you who are already using re can refer to the Using regular expressions to extract data section.

The rest of the chapter is locked

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Authors (1)

Chapagain

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.

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