Extracting data from PDF files using Python
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This is a detailed step-by-step guide that develops a Python code to extract information from PDF files. This is very useful if you have to handle a large number of files. The Python code returns the number of all search term occurrences in the document and identifies the page numbers. All material including the code is on GitHub
I introduce the PyPDF2 package, which we need to install.
Installation on Anaconda:
conda install -c conda-forge pypdf2
Installation using the pip installer:
pip install PyPDF2
I show you how to create and activate a virtual environment (which is optional – but useful to do). Then we develop the code step-by-step. This will enable you to learn how to modify the code to suit your specific requirements. Please leave a comment if you have any questions.
Finally, we will refactor the code. We define a function that takes a search term and filename and returns a tuple containing the total number of occurrences and the number of pages that contain the search term at least once.
*Chapters*
0:00 Welcome
0:15 Return all occurrences & page numbers
0:44 Example PDF
2:23 Python setup
3:55 Virtual environment
6:16 Coding fun
28:05 Refactoring
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