Скачать или смотреть Downloading Files From AWS S3 with the Same Name Using a Python Script

Learn how to easily download multiple files with the same name from AWS S3 using a Python script, including how to dynamically name them based on their subfolders.
---
This video is based on the question https://stackoverflow.com/q/69531458/ asked by the user 'Nihilum' ( https://stackoverflow.com/u/14293020/ ) and on the answer https://stackoverflow.com/a/69534082/ provided by the user 'John Rotenstein' ( https://stackoverflow.com/u/174777/ ) 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, latest updates/developments on topic, comments, revision history etc. For example, the original title of the Question was: AWS S3 download all files with same name with shell

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.
---
Efficiently Downloading Files with the Same Name from AWS S3

If you've ever worked with AWS S3, you may have encountered the challenge of downloading multiple files that share the same name but reside in different subfolders. In this guide, we'll explore how to tackle this issue using a straightforward Python script instead of complex shell scripts.

Let's dive right into the solution!

The Problem

Imagine you have an S3 bucket structure:

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

All the files you want to download are named B01.tif, but they're located in various subdirectories. The goal here is to download all those B01.tif files, renaming them to include their respective subfolder names for easy identification. For example, the file in the above path could be downloaded as S2A_7VEG_20170205_0_L2AB01.tif.

Why Not Use Shell Scripts?

Although shell scripts can accomplish this task, they might get complicated and could lead to errors, especially when iterating over directories. Using a programming language like Python can simplify the process significantly, allowing for better error handling and more straightforward code.

The Solution: Using Python with Boto3

Step 1: Set Up Your Environment

Before we start, make sure you have the boto3 library installed. You can install it via pip if you haven't done so already:

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

Step 2: Write the Python Script

Here’s a simple Python script that automates the download process:

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

Step 3: Run Your Script

Save the script into a .py file, for example, download_b01_files.py.

Execute the script in your terminal:

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

Step 4: Verify Your Downloads

After running the script, you should find all the B01.tif files downloaded to your current directory, each named according to its original path in S3, such as S2A_7VEG_20170205_0_L2AB01.tif.

Conclusion

By utilizing a Python script with the boto3 library, you can efficiently download multiple files with the same name from AWS S3 without the complexities of shell scripting. This method not only simplifies your task but also provides more flexibility and ease of maintenance.

Feel free to reach out with any questions or additional tips on working with AWS S3!