Скачать или смотреть How to Extract Specific Pages from a PDF and Save Them in Individual Folders

Learn how to create separate folders and extract specific pages from a PDF using Python, Pandas, and PyPDF2. It's an efficient way to organize your PDF files!
---
This video is based on the question https://stackoverflow.com/q/78119437/ asked by the user 'asd' ( https://stackoverflow.com/u/14114654/ ) and on the answer https://stackoverflow.com/a/78120678/ provided by the user 'Federicofkt' ( https://stackoverflow.com/u/10595871/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions.

Visit these links for original content and any more details, such as alternate solutions, comments, revision history etc. For example, the original title of the Question was: Keep selected pages from PDF

Also, Content (except music) licensed under CC BY-SA https://meta.stackexchange.com/help/l...
The original Question post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license, and the original Answer post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license.

If anything seems off to you, please feel free to write me at vlogize [AT] gmail [DOT] com.
---
How to Extract Specific Pages from a PDF and Save Them in Individual Folders

Managing PDF files can be a challenging task, especially when you need specific pages from a large document. In this guide, we will tackle a common problem: how to extract the selected pages from a PDF and save each as separate files in their corresponding folders.

The Challenge

Imagine you have a PDF document with multiple pages and a Pandas DataFrame containing a list of file names and the pages you want to extract. For example, you might have a DataFrame like this:

file_name
file_pages_to_keep
Monday, Wednesday
1,3
Monday
1
Monday, Tuesday, Wednesday
1,2,3
Friday
5

From this DataFrame, the goal is to create separate folders for each file name, and in each folder, save a PDF containing only the specified pages.

The Solution

To accomplish this, we can use Python with the PyPDF2 library for handling the PDF files and Pandas for managing the DataFrame. Let's break this down into steps.

Step 1: Import Necessary Libraries

We will start by importing the required libraries:

[[See Video to Reveal this Text or Code Snippet]]

Step 2: Function to Extract Pages

Next, we need to define a function that takes the input PDF, the pages to keep, and creates an output PDF:

[[See Video to Reveal this Text or Code Snippet]]

Step 3: Iterate Over DataFrame Rows

Now, we will iterate over each row in the DataFrame (pdf_summary). For each row:

Create a folder based on file_name.

Extract the specified pages and save the output PDF in the newly created folder.

Here's how this can be implemented:

[[See Video to Reveal this Text or Code Snippet]]

Step 4: Running the Script

Ensure you have the correct PDF file path and the Pandas DataFrame ready, then run the script. This will create separate folders, each containing a PDF file with only the selected pages.

Conclusion

By following these steps, you can efficiently organize your PDF documents by extracting the required pages into separate folders. This method not only saves time but also helps in keeping your documents neat and accessible.

Feel free to try this out with your own PDF files and let us know how it worked for you!