Find the film critic that most closely matches your tastes.

import { metameta } from 'metametacritic'

const result = await metameta({
  'May December': 20,
  'All of Us Strangers': 95,
})

/*
{
  meanRating: 0.89,
  favor: 0.315,
  publicationName: 'ABC News',
  reviews: 2,
  similarity: 0.635,
}
*/

Output

meanRating - The mean critic rating that indicates how generous the publication's critics are on average.
favor - The percentage that the publication rated above or below your ratings on average.
publicationName - The name of the publication where the reviews were published.
reviews - The total number of your films that the publication has reviewed.
similarity - The percentage similar that the publications ratings were to your ratings (regardless if they were above or below)

Scripts

There are some other provided scripts that may be useful:

txt-to-csv	Convert a plain text file with user ratings to csv. See `sample.txt` for a sample text file. Usage: `node build/txt-to-csv.js [MY_RATINGS.TXT]`
normalize-csv	Normalize a csv to just title and rating. Output to *.normalized.csv. Useful when combining data from different sources. Usage: `node build/normalize-csv.js [MY_RATINGS.CSV]`

raineorshine/metametacritic

Output

Scripts