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API Access
Access dataset files directly from scripts, code, or AI agents.
Dataset Files
Each file has a stable URL (r-link) that you can use directly in scripts, apps, or AI agents. These URLs are permanent and safe to hardcode.
/fivethirtyeight/fandango/
https://datahub.io/fivethirtyeight/fandango/_r/-/README.md
https://datahub.io/fivethirtyeight/fandango/_r/-/data/fandango_score_comparison.csv
https://datahub.io/fivethirtyeight/fandango/_r/-/data/fandango_scrape.csv
https://datahub.io/fivethirtyeight/fandango/_r/-/datapackage.json
Key Files
Start with these files — they give you everything you need to understand and access the dataset.
datapackage.json— metadata & schema
https://datahub.io/fivethirtyeight/fandango/_r/-/datapackage.json
README.md— documentation
https://datahub.io/fivethirtyeight/fandango/_r/-/README.md
Typical Usage
- 1. Fetch datapackage.json to inspect schema and resources
- 2. Download data resources listed in datapackage.json
- 3. Read README.md for full context
Data Files
Explore with AIfandango_score_comparison
| Field | Type | Format |
|---|---|---|
| film | string | default |
| rottentomatoes | integer | default |
| rottentomatoes_user | integer | default |
| metacritic | integer | default |
| metacritic_user | number | default |
| imdb | number | default |
| fandango_stars | number | default |
| fandango_ratingvalue | number | default |
| rt_norm | number | default |
| rt_user_norm | number | default |
| metacritic_norm | number | default |
| metacritic_user_nom | number | default |
| imdb_norm | number | default |
| rt_norm_round | number | default |
| rt_user_norm_round | number | default |
| metacritic_norm_round | number | default |
| metacritic_user_norm_round | integer | default |
| imdb_norm_round | integer | default |
| metacritic_user_vote_count | integer | default |
| imdb_user_vote_count | integer | default |
| fandango_votes | integer | default |
| fandango_difference | number | default |
Download
Download CSVAbout
- Last updated
- 12 March 2026
- Total rows
- ...
- Format
- CSV
- File size
- 15.1 kB
fandango_scrape
| Field | Type | Format |
|---|---|---|
| film | string | default |
| stars | number | default |
| rating | number | default |
| votes | integer | default |
Download
Download CSVAbout
- Last updated
- 12 March 2026
- Total rows
- ...
- Format
- CSV
- File size
- 17.4 kB
About this dataset
Fandango
This directory contains the data behind the story Be Suspicious Of Online Movie Ratings, Especially Fandango’s.
fandango_score_comparison.csv contains every film that has a Rotten Tomatoes rating, a RT User rating, a Metacritic score, a Metacritic User score, and IMDb score, and at least 30 fan reviews on Fandango. The data from Fandango was pulled on Aug. 24, 2015.
| Column | Definition |
|---|---|
| FILM | The film in question |
| RottenTomatoes | The Rotten Tomatoes Tomatometer score for the film |
| RottenTomatoes_User | The Rotten Tomatoes user score for the film |
| Metacritic | The Metacritic critic score for the film |
| Metacritic_User | The Metacritic user score for the film |
| IMDB | The IMDb user score for the film |
| Fandango_Stars | The number of stars the film had on its Fandango movie page |
| Fandango_Ratingvalue | The Fandango ratingValue for the film, as pulled from the HTML of each page. This is the actual average score the movie obtained. |
| RT_norm | The Rotten Tomatoes Tomatometer score for the film , normalized to a 0 to 5 point system |
| RT_user_norm | The Rotten Tomatoes user score for the film , normalized to a 0 to 5 point system |
| Metacritic_norm | The Metacritic critic score for the film, normalized to a 0 to 5 point system |
| Metacritic_user_nom | The Metacritic user score for the film, normalized to a 0 to 5 point system |
| IMDB_norm | The IMDb user score for the film, normalized to a 0 to 5 point system |
| RT_norm_round | The Rotten Tomatoes Tomatometer score for the film , normalized to a 0 to 5 point system and rounded to the nearest half-star |
| RT_user_norm_round | The Rotten Tomatoes user score for the film , normalized to a 0 to 5 point system and rounded to the nearest half-star |
| Metacritic_norm_round | The Metacritic critic score for the film, normalized to a 0 to 5 point system and rounded to the nearest half-star |
| Metacritic_user_norm_round | The Metacritic user score for the film, normalized to a 0 to 5 point system and rounded to the nearest half-star |
| IMDB_norm_round | The IMDb user score for the film, normalized to a 0 to 5 point system and rounded to the nearest half-star |
| Metacritic_user_vote_count | The number of user votes the film had on Metacritic |
| IMDB_user_vote_count | The number of user votes the film had on IMDb |
| Fandango_votes | The number of user votes the film had on Fandango |
| Fandango_Difference | The difference between the presented Fandango_Stars and the actual Fandango_Ratingvalue |
fandango_scrape.csv contains every film we pulled from Fandango.
| Column | Definiton |
|---|---|
| FILM | The movie |
| STARS | Number of stars presented on Fandango.com |
| RATING | The Fandango ratingValue for the film, as pulled from the HTML of each page. This is the actual average score the movie obtained. |
| VOTES | number of people who had reviewed the film at the time we pulled it. |
This dataset was scraped from FiveThirtyEight - fandango