this post was submitted on 28 Mar 2025
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Short version of the situation is that I have an old site I frequent for user written stories. The site is ancient (think early 2000's), and has terrible tools for sorting and searching the stories. Half of the time, stories disappear from author profiles. Thousands of stories and you can only sort by top, new, and 30-day top.

I'm in the process of programming a scraper tool so I can archive the stories and give myself a library to better find forgotten stories on the site. I'll be storing tags, dates, authors, etc, as well as the full body of the text.

Concerning the data, there are a few thousand stories- ascii only, and various data points for each story with the body of many stores reaching several pages long.

Currently, I'm using Python to compile the data and would like to know what storage solution is ideal for my situation. I have a little familiarity with SQL, json, and yaml, but not enough to know what might be best. I am also open to any other solutions that work well with Python.

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[–] bazzzzzzz@lemm.ee 4 points 3 days ago* (last edited 3 days ago)

If scraping is reliable, I'd use the classic python pickle or JSON.dump

For a few thousand I would just use a sqlite dB...

3 tables:

  • Story with fields: Id, title, text
  • Meta with fields: Id, story-id, subject, contents
  • Tags with fields Id, story-id, tag

Use SQL joins for sorting etc.

Sqlite is easily converted to other formats if you decide to use more complex solutions.