# mbox-to-sqlite [![PyPI](https://img.shields.io/pypi/v/mbox-to-sqlite.svg)](https://pypi.org/project/mbox-to-sqlite/) [![Changelog](https://img.shields.io/github/v/release/simonw/mbox-to-sqlite?include_prereleases&label=changelog)](https://github.com/simonw/mbox-to-sqlite/releases) [![Tests](https://github.com/simonw/mbox-to-sqlite/workflows/Test/badge.svg)](https://github.com/simonw/mbox-to-sqlite/actions?query=workflow%3ATest) [![License](https://img.shields.io/badge/license-Apache%202.0-blue.svg)](https://github.com/simonw/mbox-to-sqlite/blob/master/LICENSE) Load email from .mbox files into SQLite ## Installation Install this tool using `pip`: pip install mbox-to-sqlite ## Usage Use the `mbox` command to import a `.mbox` file into a SQLite database: mbox-to-sqlite mbox emails.db path/to/messages.mbox You can try this out against an example containing a sample of 3,266 emails from the [Enron corpus](https://en.wikipedia.org/wiki/Enron_Corpus) like this: curl -O https://raw.githubusercontent.com/ivanhb/EMA/master/server/data/mbox/enron/mbox-enron-white-s-all.mbox mbox-to-sqlite mbox enron.db mbox-enron-white-s-all.mbox You can then explore the resulting database using [Datasette](https://datasette.io/): datasette enron.db ## Development To contribute to this tool, first checkout the code. Then create a new virtual environment: cd mbox-to-sqlite python -m venv venv source venv/bin/activate Now install the dependencies and test dependencies: pip install -e '.[test]' To run the tests: pytest