#' @export
games <- function(){
steam_url <- "https://steamdb.info/graph/"
all_data <- xml2::read_html(steam_url) %>%
rvest::html_nodes("td") %>%
rvest::html_text()
game_id <- seq(9, length(all_data), by = 6) # the first game id starts on 9 postition
game_name <- seq(10, length(all_data), by = 6) # the first game name starts on 10 postition
game_id <- dplyr::tibble(game_id = all_data[game_id])
game_name <- dplyr::tibble(game_name = all_data[game_name])
steam_games <- dplyr::bind_cols(game_name, game_id)
# tags
steam_app_url <- "https://store.steampowered.com/app/"
total_tags <- NULL
for(i in 1:length(game_id$game_id)){
game_url <- paste0(steam_app_url, game_id$game_id[i])
tags <- xml2::read_html(game_url) %>%
rvest::html_nodes(".app_tag") %>%
rvest::html_text()
clean_tags <- NULL
for(i in 1:length(tags)){
clean_tags[i] <- stringr::str_remove_all(tags[i], "\t") %>%
stringr::str_remove("\r\n")
}
tags_nested <- tidyr::nest(dplyr::data_frame(clean_tags))
total_tags <- dplyr::bind_rows(total_tags, tags_nested)
}
dplyr::bind_cols(steam_games, total_tags) %>%
save(file = "games.RData")
}
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