There are 2 repositories under imdb-scraper topic.
A Simple IMDb API for Python
A useful API to scrap movie/series/video details available on IMDb.
JMovies IMDb Data Scraping Provider Library for .Net Standart
A REST-API for IMDb based on Python Flask application and scrappers
Original Post: https://medium.com/@nishantsahoo/which-movie-should-i-watch-5c83a3c0f5b1
A fun projects made using Scrapy. The Spiders included in this are able to extract Movie, TV-Series, TV-Movies based on year and title type. A lot more to come ahead
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.
Library for retrieving movie, tv series information from imdb.com
Returns json response with Movie details by using imdb_id.
Just for fun - getting the random IMDB list Film Noir to watch this evening since we can’t decide
Scrape reviews from imdb and get information including rating, review title, text, username, review date, votes count, helpful votes count, spoiler info, link to review, etc
Get a tv series information from IMDb or Rotten Tomatoes.
a web application that uses web scraping technique to extract information from IMDb, presenting it in a clean table format and enabling users to export it as a .csv file.
A web crawler built specifically to scrape data off of IMDb
Imdb auto ratings using selenium with python
A web scraping program that brings up a random IMDB profile and gives info on them and some of the productions they've been in.
Scrape and Extracting movies details from imdb.com by using pyhton
Scrape TV series data off IMDb using Scrapy
Movie information extraction from TMDB API.
Scrape data from imdb in wordpress post and pages
A quick guide to effortlessly scraping IMDb data, such as public movie lists and reviews.
Simple IMDb id Scraper using Python
IMDby is a Python package useful to retrieve and manage the data of the IMDb movie database about movies, people, characters and companies.