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Build a Movie Recommendation Dataset With IMDb

Extracts ratings, genres, cast, director, plot summaries and runtime from IMDb. Use it to assemble a recommendation-engine training dataset, build content-based

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IMDb Scraper - Movies, TV Shows, Ratings & Cast
IMDb Scraper - Movies, TV Shows, Ratings & Castthirdwatch/imdb-scraper
Title
IMDb ID
Year
Rating
+4 fields
Text
Number
Boolean
List
Object

Input

Search Query:the matrix
Max Results:10

Output fields

Title
IMDb ID
Year
Rating
Votes
Genres
Director
URL

How it works

Sign up on Apify or log in

The IMDb Scraper - Movies, TV Shows, Ratings & Cast Actor is ready to run with the inputs already set for "Build a Movie Recommendation Dataset With IMDb". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Build a Movie Recommendation Dataset With IMDb" task

The IMDb Scraper - Movies, TV Shows, Ratings & Cast Actor will start running based on the input automatically. You can also change all the input fields, like search query and max results, to match your specific use case.

Receive the "Build a Movie Recommendation Dataset With IMDb" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as title, IMDb ID, year, and more.

Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Build a Movie Recommendation Dataset With IMDb" task via API.

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