#' Get Top Trending iTunes Objects
#'
#' @description This function returns the id(s) for the top n apps, that can be used to
#' pull reviews and ratings for a one or more apps
#'
#' @title Get Top n Apps, Songs, Albums, Movies and more... from iTunes
#'
#' @param media.types defaults to all current media types
#'
#' @return data.frame
#'
#' @examples
#' \dontrun{
#' top_stuff <- get_top(n=10)
#'}
#'
#' @export
get_top <- function(n=10){
all.media.types <- list(Audiobooks="topaudiobooks", FreeBooks="topfreeebooks",
PaidBooks = "toppaidebooks", TextBooks = "toptextbooks",
iOSAppsFree="topfreeapplications", iOSAppsPaid="newpaidapplications",
iTunesUCollections="topitunesucollections", iTunesUCourses="topitunesucourses",
MacApps="topfreemacapps", Movies="topmovies",
Music="topsongs", MusicVideos="topmusicvideos",
Podcasts="toppodcasts", TVShows="toptvepisodes")
top.df <- list()
for(i in all.media.types){
url_json <- sprintf('https://itunes.apple.com/us/rss/%s/limit=%s/json', i, n)
response_json <- jsonlite::fromJSON(url_json)
top.temp.df <- cbind(
response_json$feed$entry$id$attributes$`im:id`,
response_json$feed$entry$`im:name`$label,
response_json$feed$entry$`im:artist`$label,
response_json$feed$entry$`im:price`$attributes$amount,
response_json$feed$entry$`im:contentType`$attributes$label,
response_json$feed$entry$category$attributes$label
)
top.df <- rbind.data.frame(top.df, top.temp.df)
}
colnames(top.df) <- c('itunes.id', 'name','made.by','price','category','sub.catgeory')
return(top.df)
}
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