[[{"id":1,"title":"The Shawshank Redemption"},{"id":2,"title":"The Godfather"},{"id":3,"title":"The Dark Knight"},{"id":4,"title":"Schindler's List"},{"id":5,"title":"12 Angry Men"},{"id":6,"title":"The Lord of the Rings: The Return of the King"},{"id":7,"title":"The Godfather Part II"},{"id":8,"title":"Pulp Fiction"},{"id":9,"title":"The Lord of the Rings: The Fellowship of the Ring"},{"id":10,"title":"Inception"},{"id":11,"title":"Fight Club"},{"id":12,"title":"Forrest Gump"},{"id":13,"title":"The Good, the Bad and the Ugly"},{"id":14,"title":"The Lord of the Rings: The Two Towers"},{"id":15,"title":"12th Fail"},{"id":16,"title":"The Chaos Class Failed the Class"},{"id":17,"title":"Interstellar"},{"id":18,"title":"Goodfellas"},{"id":19,"title":"The Matrix"},{"id":20,"title":"One Flew Over the Cuckoo's Nest"},{"id":21,"title":"Star Wars: Episode V - The Empire Strikes Back"},{"id":22,"title":"Se7en"},{"id":23,"title":"Star Wars: Episode IV - A New Hope"},{"id":24,"title":"The Silence of the Lambs"},{"id":25,"title":"Saving Private Ryan"}]]
curl --location --request POST 'https://zylalabs.com/api/6507/imdb+best+movies+api/9413/get+best+movies' --header 'Authorization: Bearer YOUR_API_KEY' --header 'Content-Type: application/json' --data-raw '{}'
[{"title":"The Godfather","release_date":"1972","genre":"Crime, Drama","cast":[],"crew":[],"ratings":{"imdb_rating":9.2,"metascore":100,"number_of_votes":"2.1M"},"reviews":[]}]
curl --location --request POST 'https://zylalabs.com/api/6507/imdb+best+movies+api/9414/obtain+movies+details+by+title' --header 'Authorization: Bearer YOUR_API_KEY' --header 'Content-Type: application/json' --data-raw '{"title":"Required"}'
[{"title":"The Godfather","director":"Francis Ford Coppola","stars":["Marlon Brando","Al Pacino","James Caan"]}]
curl --location --request POST 'https://zylalabs.com/api/6507/imdb+best+movies+api/9577/get+director+and+stars+by+title' --header 'Authorization: Bearer YOUR_API_KEY' --header 'Content-Type: application/json' --data-raw '{"movie_title":"Required"}'
After signing up, every developer is assigned a personal API access key, a unique combination of letters and digits provided to access to our API endpoint. To authenticate with the IMDb Best Movies API simply include your bearer token in the Authorization header.
| Header | Description |
|---|---|
Authorization
|
Required
Should be Bearer access_key. See "Your API Access Key" above when you are subscribed.
|
No long-term commitment. Upgrade, downgrade, or cancel anytime. Free Trial includes up to 50 requests.
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The IMDb Best Movies API provides access to a comprehensive database of movies in 2024, allowing users to retrieve and manage entertainment data efficiently.
You can access various data fields including movie titles, release dates, genres, ratings, and cast and crew information.
The API uses the MOVIEmeter to rank films based on user popularity and the Metascore to aggregate critical reviews.
Users must authenticate for API access, adhere to rate limits to manage request volumes, and the API supports multiple languages.
The output format is structured in JSON, with a defined schema that includes nested objects for complex data relationships.
The "get best movies" endpoint returns a list of the most popular films, including each movie's unique ID and title. This allows users to quickly access top-rated films for further exploration.
The movie details response includes key fields such as title, release date, genre, IMDb rating, number of votes, and a brief description, providing a comprehensive overview of each film.
The response data is structured in JSON format, with fields organized as key-value pairs. For example, the "ratings" field contains nested objects for IMDb rating and vote count, facilitating easy data parsing.
This endpoint requires a single parameter: the title of the movie. Users can obtain valid titles from the "get best movies" endpoint to ensure accurate requests.
The "get best movies" endpoint provides information on the most popular films, specifically their IDs and titles, allowing users to identify trending movies for further details.
Users can leverage the returned data to create movie recommendation systems, build analytics dashboards, or enhance personal movie databases by integrating the structured information into their applications.
Typical use cases include developing movie recommendation engines, creating entertainment analytics tools, and building applications that provide users with curated lists of popular films based on current trends.
Data accuracy is maintained through regular updates and quality checks, ensuring that the information reflects the latest movie ratings, releases, and user popularity metrics.
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