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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

2. Web Scraping Fundamentals FREE CHAPTER

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, and we will be using the following Python libraries:

selenium (Python library)
re

If these libraries are not present in your current Python setup, then you can set them up or install them by referring to the Setting things up section in Chapter 2, Python and the Web – Using urllib and Requests.

In addition to the Python libraries and web browsers mentioned, we will be using WebDriver for Google Chrome.

Code files are available online at https://github.com/PacktPublishing/Hands-On-Web-Scraping-with-Python/tree/master/Chapter08.

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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