this post was submitted on 28 Mar 2025
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Programming
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I would scrape them into individual json files with more info than you think you need, just for the sake of simplicity. Once you have them all, then you can work out an ideal storage solution, probably some kind of SQL DB. Once that is done, you could turn the json files into a .tar.zst and archive it, or just delete them if you are confident in processed representation.
Source: I completed a similar but much larger story site archive and found this to be the easiest way.
That's a good idea! Would yaml be alright for this too? I like the readability and Python styled syntax compared to json.
I see no reason you can't use yaml.
Yaml and json are essentially identical for basic purposes.
Once the scraper has been confirmed working, are you going to be doing a lot of reading/editing of the raw data? It might as well be a binary blob (which is a bad idea as it couples the raw data to your specific implementation)
I'm not entirely sure yet, but probably yes to both. The story text will likely stay unchanged, but I'll likely experiment with various ways to analyze the stories.
The main idea I want to try is assigning stories "likely tags" based on the frequency of keywords. So castle and sword could indicate fantasy while robot and ship could indicate sci-fi. There are a lot of stories missing tags, so something like this would be helpful.