#' Searching which industry the company belongs to
#'
#' @param ticker a ticker code in the format as "000000"
#'
#' @return Industry / WICS
#' @export
#'
#' @examples
#' "stock name" %>% find_code3 %>% industry
industry <- function(ticker) {
library("stringr", quietly = TRUE)
library("dplyr", quietly = TRUE)
library("rebus", quietly = TRUE)
library("rvest", quietly = TRUE)
url_code <- paste("http://companyinfo.stock.naver.com/v1/company/c1020001.aspx?cmp_cd=", ticker, "&cn=", sep = "")
tem_code <- read_html(url_code, encoding = "UTF-8")
industry <- tem_code %>% html_nodes(".wrapper-table") %>% html_nodes("table") %>% html_nodes("tr") %>%
.[1] %>% html_nodes("dt") %>% html_text %>% .[3] %>% str_match(": " %R% capture(one_or_more(NOT_SPC))) %>% .[2]
WICS <- tem_code %>% html_nodes(".wrapper-table") %>% html_nodes("table") %>% html_nodes("tr") %>%
.[1] %>% html_nodes("dt") %>% html_text %>% .[4] %>% str_match(": " %R% capture(one_or_more(NOT_SPC))) %>% .[2]
# WISEfn Industry Classification Standard, modified by WISEfn
data.frame(IDST = industry, WICS = WICS)
}
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