Movie Dataset: Ratings, Reviews, Cast & Box Office Data (900K+ Titles)

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Description

Unlock the world of cinema with this comprehensive Entertainment dataset, detailing over 2M+ movie titles. Sourced from a leading online movie database, this collection provides an unparalleled depth of film information. Each record offers critical data points such as title, genres, release date, original language, audience ratings (vote_average, vote_count), and box office performance (budget, revenue). Explore rich descriptive content including director, screenplay, cast, overview, and poster_url to understand each film's essence. This dataset is perfect for developing robust recommendation engines, performing intricate market trend analysis, supporting content development, or powering innovative movie discovery platforms. Leverage this extensive and detailed resource to gain profound insights into global cinema.

Highlights

  • Over 753,000 movie titles with extensive filmographic details.

  • Covers global film productions, including diverse genres and languages.

  • Dataset is regularly updated from an active movie information source.

  • Features in-depth ratings, reviews, cast, and box office data.

Sample Data

Preview of available data:

Cast Title Budget Genres Imdb Id Revenue Runtime Tmdb Id Uniq Id Version Director Keywords Overview Tmdb Url Popularity Poster Url Scraped At Screenplay Vote Count Imported At Content Type Release Date Release Year Vote Average Certification Original Title Original Language Production Countries
Mamie Van Doren as Christin... The Candidate \N Drama \N \N 84 337784 00003f68a7fe5f8d 1786737979489 Robert Angus politician An unscrupulous campaign ma... https://www.themoviedb.org/... 1.1807 https://image.tmdb.org/t/p/... 2026-07-27 13:00:16 Quentin Vale, Joyce Ann Miller 5 2026-08-14 20:06:19 Movie 1964-10-07 1964 6.6 \N The Candidate English United States
Hank Harris as Toby, Tomas ... Sign of the Times $350,000 Comedy \N \N 104 1407848 000082398f455bf5 1786737979489 Tomas Herrera, Brian McCulley \N A contemporary comedy about... https://www.themoviedb.org/... 0.1038 https://image.tmdb.org/t/p/... 2026-08-05 08:23:41 Tomas Herrera, Hank Harris 1 2026-08-14 20:06:19 Movie 1999-05-01 1999 7 \N Sign of the Times English United States
Julfuqar Ali as Jamal, Sush... Little Terrorist \N Drama \N \N 15 72079 0000985a54f252b9 1786737979489 Ashvin Kumar \N Jamal, a 10-year-old Pakist... https://www.themoviedb.org/... 1.2166 https://image.tmdb.org/t/p/... 2026-07-24 18:03:22 Ashvin Kumar 8 2026-08-14 20:06:19 Movie 2004-10-25 2004 5.375 \N Little Terrorist Hindi India, United Kingdom
Ray Alder, Jim Matheos, Mar... Fates Warning: The View Fro... \N \N \N \N \N 385205 0000a7f493295995 1786737979489 \N \N 01. Silent Cries\r 02. Anar... https://www.themoviedb.org/... 0.0636 https://image.tmdb.org/t/p/... 2026-07-28 02:20:30 \N \N 2026-08-14 20:06:19 Movie 2003-05-09 2003 \N \N Fates Warning: The View Fro... English United States
Ron Hood as Himself The Woodsmaster Volume 13 D... \N \N \N \N 100 414314 0000b07ce97e5c5c 1786737979489 \N \N This is the one we have bee... https://www.themoviedb.org/... 0.1073 \N 2026-07-28 11:43:48 \N \N 2026-08-14 20:06:19 Movie 2010-01-07 2010 \N \N The Woodsmaster Volume 13 D... English United States
Aayush Sharma as Ruslaan, S... Ruslaan \N Action \N \N 140 1196940 0000b68372565065 1786737979489 Karan Lalit Butani \N The unstoppable force Rusla... https://www.themoviedb.org/... 0.7209 https://image.tmdb.org/t/p/... 2026-08-01 08:41:25 Yunus Sajawal, Yunus Sajawal 2 2026-08-14 20:06:19 Movie 2024-04-26 2024 5 UA रुसलान Hindi India
Manuel Manquiña as Atilano ... Atilano, presidente \N Comedy \N $257,817.00 88 115606 0000c0ad2c255beb 1786737979489 Santiago Aguilar, Luis Guridi swindler, presidential cand... Atilano Bermejo is a petty ... https://www.themoviedb.org/... 0.4258 https://image.tmdb.org/t/p/... 2026-07-25 02:09:04 Santiago Aguilar, Luis Guridi 4 2026-08-14 20:06:19 Movie 1998-09-24 1998 6.25 APTA Atilano, presidente Spanish; Castilian Spain
\N Canção Húngara do Suicídio \N Music \N \N \N 1382896 0000d56253fa5a26 1786737979489 Carlos Henrique \N We don\'t have an overview ... https://www.themoviedb.org/... 0.2272 https://image.tmdb.org/t/p/... 2026-08-04 22:51:43 Carlos Henrique \N 2026-08-14 20:06:19 Movie 2022-01-01 2022 \N 14 Canção Húngara do Suicídio Portuguese Brazil
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Data Fields

This dataset includes the following data points:

Uniq Id
Scraped At
Content Type
Tmdb Id
Tmdb Url
Imdb Id
Title
Original Title
Release Date
Original Language
Production Countries
Genres
Runtime
Vote Average
Vote Count
Popularity
Budget
Revenue
Keywords
Release Year
Certification
Overview
Director
Screenplay
Cast
Poster Url
Version
Imported At

Why This Data

This entertainment dataset from provides comprehensive market intelligence and competitive insights. Perfect for:

  • Market Research: Understand market trends and customer preferences
  • Competitive Analysis: Compare pricing, products, and strategies
  • Business Intelligence: Make data-driven decisions
  • Price Monitoring: Track price changes and optimize your pricing

Use Cases

This dataset is perfect for various applications:

Streaming Platform Content Acquisition Strategy: A streaming service analyzes historical box office revenue, audience popularity, genre trends, and cast/director involvement to identify high-potential movie titles for licensing, acquisition, or original content development.

Film Development & Investment Forecasting: Film studios and investors leverage historical budget, revenue, and audience reception data across various genres and production countries to forecast the potential financial success of new film projects and inform investment decisions.

Personalized Movie Recommendation Engine Training: Data scientists train machine learning models using movie genres, keywords, cast, director, and popularity metrics to build highly accurate recommendation engines for users on entertainment platforms.

Targeted Movie Marketing Campaign Optimization: Marketing professionals utilize audience popularity, genre associations, cast/director appeal, and certification ratings to segment target audiences and optimize advertising spend for upcoming movie releases.

SEO-Driven Entertainment Content Strategy: Digital publishers and movie news sites identify trending actors, directors, genres, and specific movie titles based on popularity and keyword data to generate engaging content that ranks highly in search results.

In-Flight Entertainment Curation for Airlines: Airlines and travel technology providers select optimal movie lineups for diverse international passengers by analyzing original language, genre popularity, runtime, and certification to cater to various demographics.

Academic Research on Cinematic Trends: Researchers investigate the correlation between production budgets, box office revenues, critical reception (vote average), and other metadata to analyze long-term trends and economic factors in the global film industry.

Talent Management & Performance Evaluation: Talent agencies assess the market value and performance trajectory of actors and directors by examining their involvement in films' budget, revenue, popularity, and critical reception across various projects.

Get Access to This Dataset

Start using this dataset today. Available in CSV, JSON, and Excel formats with flexible access options.

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Frequently Asked Questions

This dataset provides extensive information for over 750,000 movies, including key details like `title`, `release_date`, `genres`, `director`, and `cast`. You'll also find financial metrics such as `budget` and `revenue`, alongside audience insights like `vote_average` and `popularity`, allowing for comprehensive film analysis. Other useful fields include `overview`, `certification`, and `poster_url` for richer content understanding.

The dataset is periodically refreshed to ensure its content remains current with information from the source. Each record includes a `scraped_at` timestamp, providing transparency on when that specific movie's data was last collected from the primary entertainment data platform. This allows users to track the freshness of individual entries within the extensive collection.

This dataset is typically available in industry-standard formats such as CSV and JSON, making it easy to integrate into various applications. Delivery options often include direct download for bulk data or via an API for more dynamic and programmatic access. We aim to provide flexible delivery to suit diverse user needs and technical environments.

Data scientists, researchers, and developers in the entertainment industry or academic sectors benefit significantly from this data. They can build advanced movie recommendation engines, conduct in-depth market trend analysis, or power analytical dashboards that explore film performance and audience engagement. It's also ideal for training machine learning models related to film characteristics and success prediction.

Yes, customization options are available to tailor the dataset to your specific project requirements, such as filtering by specific genres, release years, or geographic regions. Comprehensive support is also provided to assist with data integration, understanding fields, or addressing any queries you might have during your usage. Our goal is to ensure you maximize the value of the data for your needs.

The data is collected using automated scraping processes from a leading entertainment data platform, as indicated by the `scraped_at` timestamp on each record. A rigorous quality assurance process is then applied, involving data validation, deduplication, and cleaning to ensure accuracy and consistency across all 750,000+ movie titles. This meticulous approach helps maintain the high integrity of the information provided.