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Letterboxd Friend Ranker

SEE HOW MUCH YOU HAVE IN COMMON WITH YOUR FRIENDS' FILM TASTES

Letterboxd Friend Ranker takes a given user, scrapes all their corresponding friends' ratings data, and proceeds to compute and rank the user's friends based on a commonality score. Each score is computed as such:

Remarks:

I intend to implement more functionality; such as: clean charts illustrating difference between friends, predictions,further statistics, GUI interface with Tkinter, and more. Additionally, I will be working on releasing a PyPI library for scraping Letterboxd data and a Java package. Update (8/8/19): Moved away from Selenium in favor of Beautiful Soup; significantly increases speed of data scraping.

Getting Started

It is recommended to use a virtualenv to install necessary dependencies. The following illustrates how to do so:

Installing

Pre-setup:

You will need to have virtualenv and pip (the Python package manager) installed

apt-get install python3-pip

Then, install pip3

pip3 install virtualenv

Step (i)

Create and activate a virtualenv

virtualenv some-name

Step (ii)

Install the necessary dependencies

pip3 install -r requirements.txt

Running and utilizing

To run the program:

python3 -u main.py

License

This project is licensed under the MIT License - see the LICENSE file for details

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Program that computes, ranks a given user and their friends based on Letterboxd ratings

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