Download images and videos from Instagram
Project description
BasketCase
Download images and videos from Instagram.
Notable features:
- Stories can be downloaded without triggering the "seen" flag.
- Downloads a high quality version of a profile picture.
Installation
Install it from PyPI.
pip install --user basketcase
This should put the executable
basketcase
on your PATH.
Command-line usage
basketcase -u "https://instagram.com/p/<post_id>"
Downloaded resources will be stored in the current working directory (i.e.
$PWD/basketcase_downloads
).
To download from multiple URLs, create a text file (e.g. urls.txt
)
and populate it with resource URLs:
https://instagram.com/p/<post_id>
https://instagram.com/reel/<reel_id>
https://instagram.com/<username>
basketcase -f ./urls.txt
Supported URLs
Supported URL | Description |
---|---|
https://instagram.com/<username> |
User profile. Downloads stories from the past 24 hours, and the profile picture. |
https://instagram.com/p/<post_id> |
Standard publication. |
https://instagram.com/reel/<reel_id> |
Reels movie |
https://www.instagram.com/stories/highlights/<highlight_id>/ |
A collection of stories, or "highlights" |
https://www.instagram.com/s/<random_characters> |
A shorter type of URL |
Authentication
- Add a session cookie
basketcase --cookie <session_cookie_id> --cookie-name "my session"
# Added session id: 1
- Specify its identifier when downloading
basketcase -s 1
List all available sessions with
basketcase -l
. To disable sessions, use--no-session
. If only one exists, it is treated as the default.
User data
Cookies and other application data are kept in your home directory (i.e. ~/.basketcase
).
Development setup
cd
to the project root and create a virtual environment in a directory namedvenv
, which is conveniently ignored in version control.- Install the dependencies.
pip install -r requirements.txt
- Install this package in editable mode.
pip install -e .
Package build and upload
- Update the requirements list.
pip freeze --exclude-editable > requirements.txt
- Increment the version on
pyproject.toml
. - Build the package.
python -m build
- Commit and push the changes (and a new version tag) to the git repository.
- Publish it.
python -m twine upload dist/*
Project details
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