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Python Automation Cookbook

You're reading from   Python Automation Cookbook 75 Python automation recipes for web scraping; data wrangling; and Excel, report, and email processing

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Product type Paperback
Published in May 2020
Publisher Packt
ISBN-13 9781800207080
Length 526 pages
Edition 2nd Edition
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Author (1):
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Jaime Buelta Jaime Buelta
Author Profile Icon Jaime Buelta
Jaime Buelta
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Toc

Table of Contents (16) Chapters Close

Preface 1. Let's Begin Our Automation Journey 2. Automating Tasks Made Easy FREE CHAPTER 3. Building Your First Web Scraping Application 4. Searching and Reading Local Files 5. Generating Fantastic Reports 6. Fun with Spreadsheets 7. Cleaning and Processing Data 8. Developing Stunning Graphs 9. Dealing with Communication Channels 10. Why Not Automate Your Marketing Campaign? 11. Machine Learning for Automation 12. Automatic Testing Routines 13. Debugging Techniques 14. Other Books You May Enjoy
15. Index

Building Your First Web Scraping Application

The internet, and the World Wide Web (WWW), is probably the most prominent source of information today. Most of that information is retrievable through HTTP. HTTP was invented originally to share pages of hypertext (hence the name HyperText Transfer Protocol), which started the WWW.

This process happens each time that we request a web page, so it should be familiar to almost everyone. But we can also perform these operations programmatically to retrieve and process information automatically. Python has in its standard library an HTTP client, but the fantastic requests module makes obtaining web pages very easy. In this chapter, we will see how.

In this chapter, we'll cover the following recipes:

  • Downloading web pages
  • Parsing HTML
  • Crawling the web
  • Subscribing to feeds
  • Accessing web APIs
  • Interacting with forms
  • Using Selenium for advanced interaction
  • Accessing password...
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