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Global Movies Database (28 Genres, 291,473 Titles, 287 Languages & 1.6 Million Images)

Database Description:

This is the ultimate movies / films database (MySQL, CSV) with a total of 291,473 movie titles of 28 genres across 132 years (1887 - 2018) from 216 countries in 287 languages, produced by 98,244 companies, tagged by 37,648 keywords, involving 129,080 characters, played, written, directed, and created by 944,639 people including playwrights, screen writers, directors, producers, actors, and actresses, whose detailed information are listed in the 'person' table.

There are also over 1.6 million JPEG images (1,547,429 general images + 64,817 movie posters / covers) of the movies, characters / roles, directors, actors / actresses, writers, producers, etc. Each gallery item / image is associated with a 'person' record, a 'character' record, or a 'movie' record.

Database Meta:

  • Size: 1.5 GB + 65.9 GB
  • Images / Multi-media: 1,623,576 JPEG image files, 65.9 GB. General images: ab/cd/{gallery.id}.jpg (abcd = last 4 digits of file name, e.g. 888abcd.jpg); Movie covers: covers/{movie.id}.jpg
  • Last updated: Dec. 19th, 2014
  • Formats Included: MySQL 5 SQL dump text file, CSV, MS Excel
  • Tables: 20

Buy Now & Download: $189.95 (USD)


phpMyAdmin Screenshots:

MySQL Database: Global Movies Database (28 Genres, 291,473 Titles, 287 Languages & 1.6 Million Images) for Sale

Table Details (Data Structure / Schema):

  • character
    Records:129,080

    Characters / roles in the movies.

    Data fields

    1. id: int(11)
    2. title: varchar(255)
    3. slug: varchar(255)
    4. biography: mediumtext
    5. quotes: mediumtext
  • company
    Records:98,244

    Companies that produce the movies.

    Data fields

    1. id: int(11)
    2. title: varchar(255)
    3. slug: varchar(255)
  • country
    Records:216

    Production countries.

    Data fields

    1. id: int(11)
    2. title: varchar(255)
    3. slug: varchar(255)
  • gallery
    Records:1,547,429

    Image gallery of this database.

    Data fields

    1. id: int(11)
    2. title: varchar(255)
    3. slug: varchar(255)
  • gallery2character
    Records:91,279

    Character images / pictures in the gallery.

    Data fields

    1. id: int(11)
    2. gallery_id: int(11)
    3. character_id: int(11)
  • gallery2movie
    Records:476,223

    Movie images / pictures in the gallery.

    Data fields

    1. id: int(11)
    2. gallery_id: int(11)
    3. movie_id: int(11)
    4. gallery_slug: varchar(255)
    5. movie_slug: varchar(255)
  • gallery2person
    Records:1,475,474

    Person images / pictures in the gallery.

    Data fields

    1. id: int(11)
    2. gallery_id: int(11)
    3. person_id: int(11)
    4. gallery_slug: varchar(255)
    5. person_slug: varchar(255)
  • genre
    Records:28

    Different genres of the movies.

    Data fields

    1. id: int(11)
    2. title: varchar(255)
    3. slug: varchar(255)
  • keyword
    Records:37,648

    Keywords of the movies.

    Data fields

    1. id: int(11)
    2. title: varchar(255)
  • language
    Records:287

    Languages of the movies.

    Data fields

    1. id: int(11)
    2. title: varchar(255)
    3. slug: varchar(255)
  • movie
    Records:291,473

    Table containing all the movie titles and their detailed information.

    Data fields

    1. id: int(11)
    2. title: varchar(255)
    3. slug: varchar(255)
    4. year: int(10) unsigned
    5. also_known_as: varchar(255)
    6. users_rating_10: varchar(255)
    7. users_rating_10_total_votes: varchar(255)
    8. description: mediumtext
    9. storyline: mediumtext
    10. tagline: text
    11. mpaa_motion_picture_rating: text
    12. mpaa_rating: varchar(255)
    13. release_date: varchar(255)
    14. budget: varchar(255)
    15. opening_weekend: varchar(255)
    16. gross: varchar(255)
    17. runtime: varchar(255)
    18. sound_mix: text
    19. color: varchar(255)
    20. aspect_ratio: varchar(255)
    21. awards: text
    22. filming_locations: text
  • movie2character
    Records:178,557

    Association table of movies and characters.

    Data fields

    1. id: int(11)
    2. movie_id: int(11)
    3. character_id: int(11)
    4. person_id: int(11)
  • movie2company
    Records:311,948

    Association table of movies and companies.

    Data fields

    1. id: int(11)
    2. movie_id: int(11)
    3. company_id: int(11)
  • movie2country
    Records:315,073

    Association table of movies and countries.

    Data fields

    1. id: int(11)
    2. movie_id: int(11)
    3. country_id: int(11)
  • movie2genre
    Records:362,216

    Association table of movies and genres.

    Data fields

    1. id: int(11)
    2. movie_id: int(11)
    3. genre_id: int(11)
  • movie2keyword
    Records:442,792

    Association table of movies and keywords.

    Data fields

    1. id: int(11)
    2. movie_id: int(11)
    3. keyword_id: int(11)
  • movie2language
    Records:293,979

    Association table of movies and languages.

    Data fields

    1. id: int(11)
    2. movie_id: int(11)
    3. language_id: int(11)
  • movie2person
    Records:3,374,110

    Association table of movies and people.

    Data fields

    1. id: int(11)
    2. movie_id: int(11)
    3. person_id: int(11)
    4. job_title: varchar(255)
    5. job_description: varchar(255)
  • person
    Records:944,639

    People involved in making of the movies, writers, directors, producers, actors, actresses, etc.

    Data fields

    1. id: int(11)
    2. title: varchar(255)
    3. slug: varchar(255)
    4. is_a: varchar(255)
    5. gallery_id: int(11)
    6. born_name: varchar(255)
    7. born_date: varchar(255)
    8. born_place: varchar(255)
    9. awards: mediumtext
    10. height: varchar(255)
    11. alternate_names: mediumtext
    12. star_sign: varchar(255)
  • year
    Records:132

    Years in which movies are produced / released.

    Data fields

    1. id: int(11)
    2. title: int(10) unsigned

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Prospective Applications / Implementations:

  • Movies portal
  • Movies website / application

Other Available Formats:

Some of these formats are available on extra charge, depending on the database.

  • Plain CSV
  • CSV for Microsoft Excel
  • Microsoft Excel .XLS file (2008, 2007, 2003, 2000)
  • Microsoft Word .DOC file (2008, 2007, 2003, 2000)
  • LaTeX
  • Open Document Spreadsheet
  • Open Document Text
  • PDF
  • XML
  • YAML
  • WordPress Category / Post Database
  • Single Table Format

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