sdl60660/letterboxd_recommendations
Scraping publicly-accessible Letterboxd data and creating a movie recommendation model with it that can generate recommendations when provided with a Letterboxd username
Trying to find your next movie to watch? This project helps Letterboxd users discover new films by providing personalized movie recommendations. You input your Letterboxd username, and it gives you a list of movies you haven't seen yet, predicted to match your taste based on your past ratings and similar users.
382 stars.
Use this if you are a Letterboxd user looking for fresh movie suggestions that align with your viewing history and the preferences of others who rate movies similarly.
Not ideal if you want recommendations based on specific genres, directors, actors, or themes, as it focuses purely on rating patterns.
Stars
382
Forks
35
Language
Python
License
GPL-3.0
Category
Last pushed
Mar 23, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/perception/sdl60660/letterboxd_recommendations"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Related tools
scrapy/scrapy
Scrapy, a fast high-level web crawling & scraping framework for Python.
Altimis/Scweet
A simple and unlimited twitter scraper : scrape tweets, likes, retweets, following, followers,...
lexiforest/curl_cffi
Python binding for curl-impersonate fork via cffi. A http client that can impersonate browser...
plabayo/rama
modular service framework to move and transform network packets
scrapinghub/spidermon
Scrapy Extension for monitoring spiders execution.