Storing Scraped Data in an SQLite Database on GitHub
The article explains Git scraping, saving data to a Git repository with GitHub Actions. Benefits include historical tracking and using SQLite for storage. Limitations and Datasette for data visualization are discussed.
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The article discusses the concept of Git scraping, where data is scraped and saved directly into a Git repository using GitHub Actions. It highlights the benefits of this approach, such as historical data tracking through commits. The author also explores using SQLite as a database format and proposes storing scraped data in an SQLite database within GitHub Artifacts. A detailed workflow is provided, showcasing how to automate web scraping using GitHub Actions and SQLite. The article mentions some limitations, like long-running jobs and GitHub Artifacts retention limits. Additionally, it suggests using Datasette to visualize and interact with the data stored in SQLite. The author concludes by acknowledging the scalability limitations of this approach but expresses enjoyment in experimenting with the setup. The article provides a comprehensive guide for setting up an automated web scraping system using GitHub Actions and SQLite within the GitHub ecosystem.
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2 comments(Not that I’d advocate for this in general, since ultimately you’re duplicating a bunch of data and will eventually catch the eye of some GitHub compliance script.)
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