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: These datasets are strictly for personal and non-commercial use . If you intend to build a commercial app or a for-profit service, you’ll likely need to migrate to the paid IMDb Developer or AWS-hosted enterprise solutions.
For developers and AI enthusiasts focusing on sentiment analysis (determining if a movie review is positive or negative), the TensorFlow Datasets Catalog offers a highly optimized version of the classic IMDb reviews dataset.
Here is a high-level overview of how you can build your own IMDb database for free: from the IMDb Developer Site.
Most users prefer loading this data into a SQL database (like SQLite or PostgreSQL) or using Python Pandas to analyze it.
Unlocking the Internet Movie Database: A Comprehensive Analysis of Free Data Access, Structure, and Applications imdb database free
After creating your tables, you can import the data. Remember to (the first line in each TSV file) using OFFSET 2 or a similar command in your SQL client and specify that null values are represented by \N .
Goal: Find highest-rated sci-fi movies from 1990–2000 with >50,000 votes.
| Tool / Platform | What It Is | Official / Unofficial | Free Tier | Key Features | | :--- | :--- | :--- | :--- | :--- | | | RESTful web service that sources data directly from IMDb. | Unofficial | 1,000 requests/day | Simple, provides core movie data (plot, rating, poster) in JSON/XML. | | TMDb API | API for The Movie Database, a large, community-driven movie info site. | Official TMDb API | 40 requests per 10 seconds | Very comprehensive, open source, and widely used. Includes TV data, images, and more. | | Apify | Platform offering various ready-made IMDb scrapers as "Actors." | Unofficial (scraping) | Free trial, pay-as-you-go | Very powerful, can handle large-scale scraping, output in JSON/CSV, no coding required for basic use. | | IMDb Scraper API (Omkar Cloud) | A dedicated REST API that scrapes IMDb data. | Unofficial (scraping) | 5,000 requests/month | Good free tier, returns 30+ data points per title, including financial data and Metascore. | | imdbinfo | Python library for querying IMDb data. | Unofficial (scraping) | Free, no API key | Rich feature set (search, cast, reviews, trivia), typed responses, great for Python-based projects. |
SELECT primaryTitle, startYear, averageRating, numVotes FROM movies JOIN ratings ON movies.tconst = ratings.tconst WHERE genres LIKE '%Sci-Fi%' AND titleType = 'movie' AND startYear BETWEEN 1990 AND 2000 AND numVotes > 50000 ORDER BY averageRating DESC; : These datasets are strictly for personal and
Use if you need offline, massive analytical capabilities (e.g., training machine learning models).
long_movies = titles[(titles['titleType'] == 'movie') & (titles['runtimeMinutes'].astype(int) > 120)] print(f"Number of movies over 2 hours: len(long_movies)")
Whether your project is for or a commercial business ?
for those looking to build their own local database or perform data analysis. Availability : Subsets of the database are updated daily and hosted at datasets.imdbws.com Here is a high-level overview of how you
The full dataset is massive. Ensure your local machine has ample storage and memory when dealing with the raw TSV files.
If you are ready to start building your project, let me know:
Practical tips for working with the free IMDb data: