Problem
We want to extract movie information using the OMDb API in R.
Solution
We use the imdbapi package. If we use the free version, the maximum number of requests per day is 1,000. We need to request an API key here. The package allows:
- Retrieve info by imdb id
library(imdbapi)
find_by_id("tt0107692", type = NULL, year_of_release = NULL, plot = "full", include_tomatoes = FALSE, api_key = "12345678") # Ninja Scroll imdb id: tt0107692
# A tibble: 2 x 25
Title Year Rated Released Runtime Genre Director Writer Actors Plot
1 Ninj~ 1993 NOT ~ 1993-06-05 94 min Anim~ Yoshiak~ Yoshi~ Kôich~ A Jo~
2 Ninj~ 1993 NOT ~ 1993-06-05 94 min Anim~ Yoshiak~ Yoshi~ Kôich~ A Jo~
# ... with 15 more variables: Language , Country , Awards ,
# Poster , Ratings , Metascore , imdbRating ,
# imdbVotes , imdbID , Type , DVD , BoxOffice ,
# Production , Website , Response
find_by_title("vertigo", type = NULL, year_of_release = NULL, plot = "full", include_tomatoes = FALSE, api_key = "12345678")
# A tibble: 3 x 25
Title Year Rated Released Runtime Genre Director Writer Actors Plot
1 Vert~ 1958 PG 1958-07-21 128 min Myst~ Alfred ~ "Alec~ James~ "Joh~
2 Vert~ 1958 PG 1958-07-21 128 min Myst~ Alfred ~ "Alec~ James~ "Joh~
3 Vert~ 1958 PG 1958-07-21 128 min Myst~ Alfred ~ "Alec~ James~ "Joh~
# ... with 15 more variables: Language , Country , Awards ,
# Poster , Ratings , Metascore , imdbRating ,
# imdbVotes , imdbID , Type , DVD , BoxOffice ,
# Production , Website , Response
get_actors(find_by_title("vertigo", api_key = "12345678"))
[1] "James Stewart" "Kim Novak" "Barbara Bel Geddes"
[4] "Tom Helmore"
get_countries(find_by_title("vertigo", api_key = "12345678"))
[1] "USA"
get_directors(find_by_title("vertigo", api_key = "12345678"))
[1] "Alfred Hitchcock"
get_genres(find_by_title("vertigo", api_key = "12345678"))
[1] "Mystery" "Romance" "Thriller"
get_writers(find_by_title("vertigo", api_key = "12345678"))
[1] "Alec Coppel (screenplay by)"
[2] "Samuel A. Taylor (screenplay by)"
[3] "Pierre Boileau (based on the novel \"D'Entre Les Morts\" by)"
[4] "Thomas Narcejac (based on the novel \"D'Entre Les Morts\" by)"
library(RCurl)
df <- find_by_title("Batman Ninja", type = NULL, year_of_release = NULL, plot = "full", include_tomatoes = FALSE, api_key = "12345678")
plot(0:1,
0:1,
type = "n",
ann = FALSE,
axes = FALSE)
my_image <- readJPEG(getURLContent(df$Poster[1]))
rasterImage(my_image, 0, 0, 1, 1)
Notes
By inspecting the previous functions starting with get, we can see that these are wrappers subetting the info returned by the functions find_by_title or find_by_id.
function (omdb)
{
if (!inherits(omdb, "omdb")) {
message("get_actors() expects an omdb object")
return(NULL)
}
if ("Actors" %in% names(omdb)) {
str_split(omdb$Actors, ",[ ]*")[[1]]
}
}
Every request returned by find_by_id o find_by_title, will generate a row for each rating availables.
For instance, Vertigo will return 3 rating rows: IMDb, Rotten Tomatoes and Metacritic. Whereas Ninja Scroll or Batman Ninja will return only 2 available ratings: IMDb and Rotten Tomatoes. The variables are:
Classes ‘omdb’, ‘tbl_df’, ‘tbl’ and 'data.frame': 2 obs. of 25 variables:
$ Title : chr "Batman Ninja" "Batman Ninja"
$ Year : chr "2018" "2018"
$ Rated : chr "PG-13" "PG-13"
$ Released : Date, format: "2018-04-24" "2018-04-24"
$ Runtime : chr "85 min" "85 min"
$ Genre : chr "Animation, Action" "Animation, Action"
$ Director : chr "Junpei Mizusaki" "Junpei Mizusaki"
$ Writer : chr "Kazuki Nakashima (screenplay), Leo Chu (English screenplay), Eric Garcia (English screenplay), Bob Kane (charac"| __truncated__ "Kazuki Nakashima (screenplay), Leo Chu (English screenplay), Eric Garcia (English screenplay), Bob Kane (charac"| __truncated__
$ Actors : chr "Kôichi Yamadera, Wataru Takagi, Ai Kakuma, Rie Kugimiya" "Kôichi Yamadera, Wataru Takagi, Ai Kakuma, Rie Kugimiya"
$ Plot : chr "Batman, along with a number of his allies and adversaries, finds himself transplanted from modern Gotham City to feudal Japan." "Batman, along with a number of his allies and adversaries, finds himself transplanted from modern Gotham City to feudal Japan."
$ Language : chr "Japanese, English" "Japanese, English"
$ Country : chr "Japan, USA" "Japan, USA"
$ Awards : chr "N/A" "N/A"
$ Poster : chr "https://m.media-amazon.com/images/M/MV5BYmFhYzZhYzgtZjZiYS00NWEwLWFhYTUtN2UxM2FmYzdhNDUyXkEyXkFqcGdeQXVyNDk2Nzc"| __truncated__ "https://m.media-amazon.com/images/M/MV5BYmFhYzZhYzgtZjZiYS00NWEwLWFhYTUtN2UxM2FmYzdhNDUyXkEyXkFqcGdeQXVyNDk2Nzc"| __truncated__
$ Ratings :List of 2
..$ :List of 2
.. ..$ Source: chr "Internet Movie Database"
.. ..$ Value : chr "5.7/10"
..$ :List of 2
.. ..$ Source: chr "Rotten Tomatoes"
.. ..$ Value : chr "79%"
$ Metascore : chr "N/A" "N/A"
$ imdbRating: num 5.7 5.7
$ imdbVotes : num 9759 9759
$ imdbID : chr "tt7451284" "tt7451284"
$ Type : chr "movie" "movie"
$ DVD : Date, format: "2018-05-08" "2018-05-08"
$ BoxOffice : chr "N/A" "N/A"
$ Production: chr "DC Comics" "DC Comics"
$ Website : chr "N/A" "N/A"
$ Response : chr "True" "True"
References
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