Display the results of a harvest as a searchable database using Datasette
Datasette is 'a tool for exploring and publishing data'. Give it a CSV file and it turns it into a fully-searchable database, running in your browser. It supports facets, full-text search, and, with a bit of tweaking, can even present images. Although Datasette is a command-line tool, we can run from within a Jupyter notebook, and open a new window to display the results. This notebook shows you how to load the newspaper data you've harvested into Datasette, and start it up. If you've also harvested full-text and images from the newspaper articles, you can add these to your database as well!
Preview
Using this notebook¶
To run this notebook using the ARDC Binder service you'll need to log in using an account from an Australian university or research organisation. If you don't have an account, try MyBinder instead.
The MyBinder service doesn't require any authentication, but it can be slow to start and will sometimes fail when busy. If you have a login at an Australian university, you'll probably get better results with ARDC Binder.
Binder is great for experimentation and quick tasks, but for some projects you might need a dedicated, persistent environment in which to work. There's information on other options in the run these notebooks section.
Additional documentation¶
Getting help¶
Cite as¶
Sherratt, Tim. (2024). GLAM-Workbench/trove-newspaper-harvester (version v2.1.1). Zenodo. https://doi.org/10.5281/zenodo.11295552
