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The loading bar actually comes with Streamlit and they have each of their component documentations on their page, you can access my source code for the app on my GitHub here (check on deployment.py, search for "st.spinner" and "st.progress"). For additional data of each movie, maybe you missed that part on my Profile Analysis article (the scraping movie details part). Yes, I modified scraping functions from this repo and I mentioned it on my Friends Ranker article.
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Letterboxd-friend-ranker
Program that computes, ranks a given user and their friends based on Letterboxd ratings
The loading bar actually comes with Streamlit and they have each of their component documentations on their page, you can access my source code for the app on my GitHub here (check on deployment.py, search for "st.spinner" and "st.progress"). For additional data of each movie, maybe you missed that part on my Profile Analysis article (the scraping movie details part). Yes, I modified scraping functions from this repo and I mentioned it on my Friends Ranker article.
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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Letterboxd-list-scraper
A program that can scrape Letterboxd lists from an input URL. The output CSV contains information about the film title, release year, director, cast, personal rating, average rating and a lot more from an input URL.
Oh, just doing some data analysis on a list I run and maintain that has a large following (+1,000 likes, been featured in Letterboxd’s Twitter account). Using this repo, which also refers to the Friends Ranker article as a source, but arrives differently with the scraping process.