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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
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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

Scanning documents for a keyword

In this recipe, we will apply all the lessons from the previous recipes and search all the files in the directory for a particular keyword. This is a recap of the rest of the recipes in this chapter and includes a script that searches different kinds of files.

Getting ready

Be sure to include the following modules in the requirements.txt file and install them into your virtual environment:

beautifulsoup4==4.8.2
Pillow==7.0.0
PyPDF2==1.26.0
python-docx==0.8.10

Check that the directory to search has the following files (all are available in https://github.com/PacktPublishing/Python-Automation-Cookbook-Second-Edition/tree/master/Chapter04/documents/. Note that file5.pdf and file6.pdf are copies of document-1.pdf, for simplicity. file1.txt to file4.txt are empty files:

├── dir
│   ├── file1.txt
│   ├── file2.txt
│   ├── file6.pdf...
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