basketcase 1.0.5

Fetch resources from Instagram

BasketCase

Fetch resources from Instagram.

It can download images and videos in their highest quality from any type of publication. You will need a session cookie to avoid rate limits and access controls.

Installation and usage

1. 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.

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. Pipe the contents of the file to the script, optionally passing the session cookie.

cat basketcase.txt | basketcase -c session_cookie_id

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

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.