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# Introduction
There is a whole category of file tasks that nobody enjoys but everyone has to deal with. The 5 Useful Python Scripts to Automate Boring Everyday Tasks article covered the automation of a few file tasks. However, there are many more.
Clearing out temp files that have been sitting around for months, untangling folders full of nested zip archives, converting a hundred images to a different format one by one, pulling metadata out of media files for a project, and pruning directories that serve no purpose anymore — none of this is hard to do manually — it is only tedious. These are exactly the tasks worth automating. This article covers five Python scripts that tackle these file tasks most people just keep putting off.
You can find the code on GitHub.
# 1. Cleaning Stale Temp and Cache
The pain point: Your system accumulates temp files, cache folders, and residual files from apps. Over time, this quietly eats gigabytes of storage. You know it is there; you just never get around to dealing with it.
What the script does: Scans predefined system and app-specific temp and cache directories, flags files that have not been touched in a configurable number of days, and removes them safely. It gives you a full report before deleting anything, so you stay in control.
How it works: The script walks through a list of known temp and cache paths like system temp browser caches and app-specific directories, and it checks each file’s last access and modification timestamps against your chosen threshold. It then builds a summary of what it found — total count and total size, broken down by directory. Deletion only happens after you review and confirm. Everything is logged.
⏩ Get the stale temp and cache cleaner script
# 2. Extracting Nested Zip Files
The pain point: Someone sends you an archive. Inside that archive is another archive. Inside that is another one. By the time you have manually dug through all the layers, you have wasted twenty minutes and your extracted files are scattered across a mess of folders.
What the script does: Recursively extracts zip archives — up to 10 levels of nesting — and flattens everything into a clean, organized output directory. It handles duplicate filenames automatically and skips archives it has already processed so you can re-run it safely.
How it works: The script starts with a target directory, finds all zip files, and extracts them; then, it scans the extracted contents for more zip files and repeats until no archives remain. Output files are placed into a single clean directory with automatic conflict resolution (appending numbers when names are already in use). A manifest file is generated listing every extracted file and its original source.
⏩ Get the nested zip extractor script
# 3. Converting Multiple File Formats
The pain point: You need 200 PNGs converted to WebP for a web project. Or a folder of WAV files needs to become MP3s. Or someone handed you a stack of BMP screenshots and you need JPEGs. Doing this one file at a time is painfully slow, and most single-purpose tools do not handle multiple formats in one go.
What the script does: Converts files across multiple formats in batch — images, audio, and documents — using a single command. You set the input folder, output format, and any quality/compression settings, and it handles the rest. Progress is shown in real time.
How it works: The script uses Pillow for image conversions, pydub for audio, and python-docx for basic document conversions. It scans the target directory for supported file types, applies the chosen output format and settings, and writes converted files to a dedicated output folder. It skips files that already match the target format and logs any files it could not process along with the reason why.
⏩ Get the bulk format converter script
# 4. Extracting Media Metadata
The pain point: You have a folder of photos, videos, or audio files and you need to know things like resolution, duration, date taken, GPS coordinates, or codec info. Checking each file’s properties one by one through a graphical user interface (GUI) is slow. And if you need that data in a spreadsheet or database, doing it manually is out of the question.
What the script does: Scans a directory of media files, extracts all available metadata from each one, and exports everything into a clean CSV file. It supports images to extract exchangeable image file format (EXIF) data, tags, duration, and bitrate from audio, and metadata like resolution, codec, and length from video. It runs fast even on large folders.
How it works: The script uses Pillow and piexif for image EXIF extraction, mutagen for audio metadata, and ffprobe via subprocess for video file analysis. It normalizes the metadata into a consistent set of fields across file types, writes results to a CSV with one row per file, and flags any files where extraction failed so you can check them manually.
⏩ Get the media metadata extractor script
# 5. Purging Empty and Stale Folders
The pain point: Over time, directories accumulate on your drive that are either completely empty or only contain files so old they are never getting used again. These folders bloat your file tree, make navigation slower, and just add noise. Finding them manually across a deep directory structure is tedious and easy to miss.
What the script does: Scans a directory tree and identifies two categories of folders: completely empty ones and ones where every file inside is older than a threshold you set. It presents findings grouped and sorted by size before removing anything. It supports dry-run mode so you can preview exactly what would be deleted.
How it works: The script recursively walks the directory tree bottom-up so nested empty folders get caught after their contents are removed. It checks file ages against your configured threshold and categorizes each directory as empty, stale, or active. A detailed report is generated before any action is taken. Deletion respects a protected paths list so you never accidentally touch system or important directories.
⏩ Get the empty and stale folder purger script
# Wrapping Up
These five Python scripts help you automate the file tasks that are easy to keep putting off. These are not urgent enough to jump on but quietly waste your time and storage. Pick whichever one solves the most annoying problem first and start there. To get going:
- Download the script you want
- Install the dependencies (check the README)
- Adjust the settings to match your setup
- Run it once manually to make sure it works the way you expect
- Schedule it or add it to your startup routine
Happy automating!
Bala Priya C is a developer and technical writer from India. She likes working at the intersection of math, programming, data science, and content creation. Her areas of interest and expertise include DevOps, data science, and natural language processing. She enjoys reading, writing, coding, and coffee! Currently, she’s working on learning and sharing her knowledge with the developer community by authoring tutorials, how-to guides, opinion pieces, and more. Bala also creates engaging resource overviews and coding tutorials.
