delafields.github.io

MOVIE BUDGETS 🎥

Data on the top 5,000 (about) biggest budget movies (as found onthe-numbers.com).

Give me a shout if you make something cool with this!

Data (pulled on 12/5/2019)

• movie-budgets.csv contains a dense file on data of ~5,000 movies
  • title: Movie Title
  • release_date: Release Date
  • production_budget: Production Budget (USD)
  • domestic_gross: Domestic Gross Profit (USD)
  • worldwide_gross: Worldwide Gross Profit (USD)
  • genre: Movie Genre
  • story_source: Story Source (Ex. Novel, Comic Book)
  • creative_type: Creative Type (Ex. Super Hero)
  • production_method: Production Method (Ex. Live Action, Stop Motion)
  • production_company: Production Company
  • MPAA_Rating: MPAA Ratins (Ex. PG13)
  • runtime: Runtime (minutes)
  • opening_theater_count: Number of theaters the movie opened to
  • max_theater_count: Max number of theaters showing the movie
  • avg_run_per_theater: Average time in theaters (weeks)

  • actors: Primary Actors/Actresses in movie (pipe (

    ) delimited string of names)

  • directors: Director(s) (pipe (

    ) delimited string of names)

• data/ contains gzipped json files (each holding ~100 movies, named by budget rank)

Working files

• scrape.py contains all scraping logic
• main.py executes the scrape & gzips the resulting json file into the json_data folder
• create_csv.py ungizps & creates a csv from all the whole of the json files