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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
Languages
Tools
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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

Crawling the web

Given the nature of hyperlink pages, starting from a known place and following links to other pages is a very important tool in your arsenal when scraping the web.

To do so, we crawl a page looking for a short phrase, and we print any paragraph that contains it. We will search only in pages that belong to a single site, for example: only URLs starting with www.somesite.com. We won't follow links to external sites.

Getting ready

This recipe builds on the concepts introduced so far, so it will involve downloading and parsing pages to search for links and then continue downloading.

When crawling the web, remember to set limits when downloading. It's very easy to crawl over too many pages. As anyone checking Wikipedia can confirm, the internet is potentially limitless.

We'll use a prepared example, available in the GitHub repo at https://github.com/PacktPublishing/Python-Automation-Cookbook-Second-Edition/tree/master...

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