Comments (3)
Yep, exported CSVs of the movie/user collections live in data_processing/data
and could be used to start to populate a local Mongo database. The reviews collection is enormous, so I couldn't include the export in this remote repo, but there are definitely a few better ways to do this.
Let me get back to you on this after the next data update (I've been updating the data for the live site's model monthly and I'll add something to the README, too.
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awesome thank u :)
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All set! You can find data up to the latest crawl here: https://www.kaggle.com/samlearner/letterboxd-movie-ratings-data
I've added some instructions on the README, as well, for using this data/running the rest of the code on your own, though obviously, you're free to do whatever you want with the data.
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Related Issues (13)
- Decade Slider and Genre Exclusion filter HOT 5
- Add option to filter out items already on a user's watchlist
- Add accordion to each results to "see details"
- Add alternate gallery/grid view for results HOT 2
- Add Dockerfile for running locally
- Duplicate a chunk of the prod database into a separate db for local/testing
- Duplicates
- Vercel deploys have started failing
- Genre blacklist doesn't work HOT 1
- Failed on "Getting User's Movie" stage: redis_get_user_data_job_status failed HOT 2
- Some deleted films not identifiable from download, only from web view
- Enhancement: option to restrict ratings used by date
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