metadata

license: other
license_name: bright-data-master-service-agreement
license_link: https://brightdata.com/license
task_categories:
  - text-classification
  - text-generation
  - text2text-generation
  - summarization
language:
  - en
tags:
  - IMDb
  - Television
  - Podcast
  - TV Show
  - Movies
  - Documentaries
  - Web Scraping
  - Data Analysis
  - Machine Learning
  - Natural Language Processing
  - Entertainment
  - AI
  - AI Research
  - Media
  - NLP
  - ML
  - LLM
size_categories:
  - 100K<n<1M

Dataset Card for "BrightData/IMDb-Media"

Dataset Summary

Explore feature films, TV series, episodes, mini-series, documentaries, and more with this IMDb dataset, comprising over 249K structured records and 32 data fields updated and refreshed regularly.

Each entry includes all major data points such as timestamp, title, URLs, release date, IMDb rating, reviews, awards, origin, category/genre, budget, cast, director, images, videos and more.

For a complete list of data points, please refer to the full "Data Dictionary" provided below.

To explore additional free and premium datasets, visit our website brightdata.com.

If you are using this dataset, we would love your feedback: Link to form.

Data Dictionary

Column Name	Description	Data Type
title	The title of the media	Text
popularity	The popularity score of the media	Number
genres	The genres associated with the media	Array
presentation	Details related to the presentation of the media	Text
credit	Information about the credits for the media	Array
> names	Names associated with the credits	Array
>> link	Links related to the names associated with the credits	Text
>> name	Names of individuals associated with the credits	Text
> title	The title of the credited role or position	Text
videos	Information about videos related to the media	Array
> name	Names associated with the videos	Text
> link	Links related to the videos	Text
photos	Information about photos related to the media	Array
> name	Names associated with the photos	Text
> link	Links related to the photos	Text
top_cast	Information about the top cast members	Array
> actor	Names of the top cast members	Text
> link	Links related to the top cast members	Text
> character	Characters played by the top cast members	Text
details_release_date	The release date details of the media	Text
details_countries_of_origin	Countries of origin for the media	Text
details_official_site	Information about the official website of the media	Text
details_language	The language details of the media	Text
details_also_known_as	Alternate names or titles of the media	Text
details_filming_locations	Details about the filming locations of the media	Text
details_production_companies	Information about the production companies associated with the media	Text
specs_color	Color specifications of the media	Text
specs_sound_mix	Sound mix specifications of the media	Text
specs_aspect_ratio	The aspect ratio specifications of the media	Text
url	The URL or link associated with the media	Url
comment	Comments or additional information about the media	Text
media_type	Specifies the format of the content	Text
imdb_rating	IMDb rating of the movie or TV show	Number
poster_url	Web URL linking to the poster image	Url
imdb_rating_count	Total count of IMDb user ratings	Number
awards	Information about accolades or recognitions	Text
critics_review_count	Count of reviews from critics	Number
review_count	Total count of user reviews	Number
review_rating	Average rating from user reviews	Number
featured_review	Highlighted or significant user review	Text
storyline	Concise summary of the plot or narrative	Text
boxoffice_budget	Budget allocated for producing a movie	Price

Dataset Creation

Data Collection and Processing

The data collection process involved extracting information directly from IMDb, ensuring comprehensive coverage of the required attributes. Once collected, the data underwent several stages of processing:

Parsing: Extracted raw data was parsed to convert it into a structured format.
Cleaning: The cleaning process involved removing any irrelevant or erroneous entries to enhance data quality.

Validation:

To ensure data integrity, a validation process was implemented. Each entry is checked across various attributes, including:

Uniqueness: Each record was checked to ensure it was unique, eliminating any duplicates.
Completeness: The dataset was examined to confirm that all necessary fields were populated or filled, with missing data addressed appropriately.
Consistency: Cross-validation checks were conducted to ensure consistency across various attributes, including comparison with historical records.
Data Types Verification: Ensured that all data types were correctly assigned and consistent with expected formats.
Fill Rates and Duplicate Checks: Conducted comprehensive checks to verify fill rates, ensuring no significant gaps in data, and rigorously screened for duplicates.

This ensures that the dataset meets the high standards of quality necessary for analysis, research and modeling.

Example JSON

[
  {
    "timestamp": "2024-05-09",
    "url": "https://www.imdb.com/title/tt1533087/",
    "title": "Soda Springs",
    "popularity": null,
    "genres": [
      "Drama"
    ],
    "presentation": "The story of a man's struggle to claim his future by confronting his past. The road is not an easy one as old demons resurface to threaten everything Eden has fought to overcome.",
    "credit": [
      {
        "names": [
          {
            "link": "https://www.imdb.com/name/nm0006395",
            "name": "Michael Feifer"
          }
        ],
        "title": "Director"
      },
      {
        "names": [
          {
            "link": "https://www.imdb.com/name/nm0681893",
            "name": "Jay Pickett"
          },
          {
            "link": "https://www.imdb.com/name/nm0006395",
            "name": "Michael Feifer"
          }
        ],
        "title": "Writers"
      },
      {
        "names": [
          {
            "link": "https://www.imdb.com/name/nm0681893",
            "name": "Jay Pickett"
          },
          {
            "link": "https://www.imdb.com/name/nm0000643",
            "name": "Tom Skerritt"
          },
          {
            "link": "https://www.imdb.com/name/nm0695560",
            "name": "Victoria Pratt"
          }
        ],
        "title": "Stars"
      }
    ],
    "videos": [
      {
        "link": "https://www.imdb.com/video/vi2070978841",
        "name": "Soda Springs"
      },
      {
        "link": "https://www.imdb.com/video/vi1391827737",
        "name": "Soda Springs"
      }
    ],
    "photos": [
      {
        "link": "https://www.imdb.com/title/tt1533087/mediaviewer/rm479233280",
        "name": "Soda Springs (2012)"
      },
      {
        "link": "https://www.imdb.com/title/tt1533087/mediaviewer/rm3715698688",
        "name": "Tom Skerritt, Michael Feifer, Michael Bowen, Patty McCormack, Jay Pickett, and Victoria Pratt in Soda Springs (2012)"
      },
      {
        "link": "https://www.imdb.com/title/tt1533087/mediaviewer/rm3382306560",
        "name": "In SODA SPRINGS (2012). Used with permission."
      },
      {
        "link": "https://www.imdb.com/title/tt1533087/mediaviewer/rm3611753728",
        "name": "Receiving Audience Award for \"Soda Springs\" from  Scott Glenn. Sun Valley Film Festival. "
      },
      {
        "link": "https://www.imdb.com/title/tt1533087/mediaviewer/rm1887543808",
        "name": "Jay Pickett on Lucky - Soda Springs"
      },
      {
        "link": "https://www.imdb.com/title/tt1533087/mediaviewer/rm3279268608",
        "name": "Tom Skerritt, Jay Pickett- Soda Springs"
      },
      {
        "link": "https://www.imdb.com/title/tt1533087/mediaviewer/rm3262491392",
        "name": "Jamer Roush, Miranda Frigon, Jay Pickett, Victoria Pratt- Soda Springs Premier"
      },
      {
        "link": "https://www.imdb.com/title/tt1533087/mediaviewer/rm3245714176",
        "name": "Production still from \"Soda Springs.\" Location, Sweet Idaho."
      },
      {
        "link": "https://www.imdb.com/title/tt1533087/mediaviewer/rm3463817984",
        "name": "Jay Pickett in Soda Springs (2012)"
      },
      {
        "link": "https://www.imdb.com/title/tt1533087/mediaviewer/rm3527377920",
        "name": "On location in Idaho-Shooting the dramatic feature \"Soda Springs\""
      },
      {
        "link": "https://www.imdb.com/title/tt1533087/mediaviewer/rm3544155136",
        "name": "On location in Idaho-Shooting the dramatic feature \"Soda Springs\""
      },
      {
        "link": "https://www.imdb.com/title/tt1533087/mediaviewer/rm3577709568",
        "name": "On location in Idaho-Shooting the dramatic feature \"Soda Springs\""
      }
    ],
    "top_cast": [
      {
        "actor": "Jay Pickett",
        "character": "Eden",
        "link": "https://www.imdb.com/name/nm0681893"
      },
      {
        "actor": "Tom Skerritt",
        "character": "Walt Jackson",
        "link": "https://www.imdb.com/name/nm0000643"
      },
      {
        "actor": "Victoria Pratt",
        "character": "Shelly",
        "link": "https://www.imdb.com/name/nm0695560"
      },
      {
        "actor": "Michael Bowen",
        "character": "Larry",
        "link": "https://www.imdb.com/name/nm0100889"
      },
      {
        "actor": "Patty McCormack",
        "character": "Beth",
        "link": "https://www.imdb.com/name/nm0566478"
      },
      {
        "actor": "Miranda Frigon",
        "character": "Pam",
        "link": "https://www.imdb.com/name/nm1058352"
      },
      {
        "actor": "Henry Darrow",
        "character": "El Quijano",
        "link": "https://www.imdb.com/name/nm0201688"
      },
      {
        "actor": "David H. Stevens",
        "character": "Jake",
        "link": "https://www.imdb.com/name/nm0828353"
      },
      {
        "actor": "Hollis Welsh",
        "character": "Sonya",
        "link": "https://www.imdb.com/name/nm0920542"
      },
      {
        "actor": "Lan Larison",
        "character": "Christopher",
        "link": "https://www.imdb.com/name/nm4248061"
      },
      {
        "actor": "Dane Stevens",
        "character": "Sheriff Griggs",
        "link": "https://www.imdb.com/name/nm0827003"
      },
      {
        "actor": "Tim Wrightman",
        "character": "Deputy Baker",
        "link": "https://www.imdb.com/name/nm0942950"
      },
      {
        "actor": "Whitnie Mauney",
        "character": "Violet",
        "link": "https://www.imdb.com/name/nm3563263"
      },
      {
        "actor": "Tony Devon",
        "character": "Rex",
        "link": "https://www.imdb.com/name/nm0222881"
      },
      {
        "actor": "Robert Milburn",
        "character": "Elderly Man",
        "link": "https://www.imdb.com/name/nm3725598"
      },
      {
        "actor": "Tanna Milburn",
        "character": "Elderly Woman",
        "link": "https://www.imdb.com/name/nm3725569"
      }
    ],
    "details_release_date": "3/27/2012 (United States)",
    "details_countries_of_origin": "United States",
    "details_official_site": "http://sodaspringsthemovie.com/",
    "details_language": "English",
    "details_also_known_as": null,
    "details_filming_locations": "Idaho, USA",
    "details_production_companies": "2C Entertainment",
    "specs_color": "Color",
    "specs_sound_mix": "Stereo",
    "specs_aspect_ratio": "1.85 : 1",
    "media_type": "Feature Film",
    "imdb_rating": 6.2,
    "poster_url": "https://www.imdb.com/title/tt1533087/mediaviewer/rm479233280",
    "imdb_rating_count": 474,
    "awards": "3 wins",
    "critics_review_count": 1,
    "review_count": 18,
    "review_rating": 5,
    "featured_review": "(2012) Soda Springs\nDRAMAAlthough, this film has a happy ending, I still have to give this film a respectable thumbs down, since the events regarding the crucial automobile accident contradicts what&#39;s revealed later. The overall experience plays like a made for TV movie or like a &quot;Sunday Afternoon Special&quot; focusing on actor, Jay Pickett (who also co-wrote the movie as well) plays Eden who&#39;s life comes tumbling down after being involved in an automobile accident that killed some people. Then the real movie starts once he&#39;s being let out early because of good behavior, and because of overcrowding. At first, viewers assumed that he&#39;s 100 percent guilty for that may not be the case. And as he&#39;s attempting to make things right, it is soon revealed that he also happens to have a son. Strictly by the book movie, which may not be bad had I not seen so much of this kind of movie theme before.",
    "storyline": "The story of a man's struggle to claim his future by confronting his past. The road is not an easy one as old demons resurface to threaten everything Eden has fought to overcome.The story of a man's struggle to claim his future by confronting his past. The road is not an easy one as old demons resurface to threaten everything Eden has fought to overcome.",
    "boxoffice_budget": "$1,500,000.00",
    "episode_count": null
  }
]