basketcase 3.0.1

Fetch resources from Instagram

BasketCase

Automates downloading images and videos from Instagram posts.

Known limitations:

• Stories and highlights are not supported yet.
• Although two-factor authentication is supported, only the totp method has been tested.

Installation and usage

1. Install it from PyPI.

pip install basketcase

This will put the executable basketcase on your PATH.

2. 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>/

3. Pass the file as a positional argument. An interactive authentication procedure will follow.

basketcase ./basketcase.txt

Downloaded resources will be stored in the current working directory (i.e. $PWD/basketcase_{timestamp}/).

User data

Cookies and other application data are kept in ~/.basketcase.

Development setup

1. cd to the project root and create a virtual environment in a directory named venv, which is conveniently ignored in version control.
2. Install the dependencies.

pip install -r requirements.txt

3. Install this package in editable mode.

pip install -e .

Package build and upload

1. Update the requirements list.

pip freeze --exclude-editable > requirements.txt

2. Increment the version on setup.cfg.
3. Build and upload to PyPI.

python -m build
python -m twine upload dist/*

4. Commit and push the changes (and the new version tag) to the git repository.