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IMDb + Auto + Unlimited Filter BoT
A Simple IMDb API for Python
🎬 An attempt at the most complete IMDb API
A Python Tool that aggregates metadata from multiple sources and generates a user-friendly movie catalogue out of the files in a folder. Ideal for cataloging film collections/media.
Movie info app built with OMDb API that gets movie info from IMDb and Rotten Tomatoes.
Finds a random movie from any long list
imdby is a Python package useful to retrieve and manage the data of the IMDb movie database about movies, people, characters and companies.
Hybrid Recommendation System for IMDB data set In Python from Scratch (can be scaled to any applications)
A REST-API for IMDb based on Python Flask application and scrappers
Helps you to decide with the best films ...and then go to the cinema, download it, or buy a disk
Web Scrapper which downloads the list of images of Top 100 movies from the IMDB & Automation of LinkedIn Login🕸️
IMDB's website full scraping of title, rating, actors, genres and more which produces a csv file (using an API too). Including cleaning and a machine learning algorithm that predict the IMDB rating based on differents criterias.
IMDB-Get is a cross-platform desktop application that can be used to get information about movies from IMDB website using the OMDb API.
Sentiment Analysis of IMDB Movie Reviews
Library for retrieving movie, tv series information from imdb.com
This repository download and analyse IMDb movie dataset in order to predict movie ratings.
Look up highlight text on Rotten Tomatoes or IMDB
Welcome to our group, descriptive and predictive analysis of IMDB scores
Open Movie Database component for Vue.js
IMDB Scrapper is Chromium application build using Python, Eel, VueJs, HTML, CSS, and Javascript
A simple scrapper written using BeautifulSoup website scrapping python library to generate the list of 5000 IMDB top rated movies along with some meta information about movie.
Imdb auto ratings using selenium with python
Build a movies recommendation system clone using Movielens dataset to construct recommendation system such as Simple recommender, Content based recommender (based on movie description and metadata) , Collaborative-Filtering based recommender , and a Hybrid recommender system.
Implementação de desafio do 7 Days of Code da Alura, usando conhecimentos de POO com Java
CineSpace is a Movie Database MERN Web Application. It displays and recommends a list of most popular movies in IMDB. It allows users to maintain a watchlist, search for different movies by their title, genre, description.
This Repository is about Exploratory Data Analysis on Kaggle's Top 1000 IMDb Movies dataset.
This project aims to carry out the in-depth analysis of IMDB movie dataset. SQL and Excel are used to draw insights,
IMDb clone built with React, featuring popular, upcoming, and top-rated movies with details.
IMDb rating prediction using machine learning
A quick guide to effortlessly scraping IMDb data, such as public movie lists and reviews.