Fetch resources from Instagram
Project description
BasketCase
Fetch resources from Instagram.
It can download images and videos in their highest quality from any type of publication. You need a session cookie to avoid rate limits and access controls.
Installation and usage
- Install it from PyPI. The
--user
flag means it will be installed in your home directory.
pip install --user basketcase
This will put the executable
basketcase
on your PATH.
- Create a text file (e.g.
basketcase.txt
) and populate it with resource URLs:
https://www.instagram.com/p/<post_id>/
https://www.instagram.com/p/<post_id>/
https://www.instagram.com/p/<post_id>/
https://www.instagram.com/p/<post_id>/
- Pipe the contents of the file to the script, passing the session cookie as its first argument.
cat urls.txt | basketcase <session_cookie_id>
Downloaded resources will be stored in the current working directory (i.e.
$PWD/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
setup.cfg
. - Build and upload to PyPI.
python -m build
python -m twine upload dist/*
- Commit and push the changes (and the new version tag) to the git repository.
Project details
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