#'@import rvest
#'
#player page
#"https://www.baseball-reference.com/players/s/sabatc.01-pitch.shtml"
#'@export
scrape_pitching_career_stats <- function(url, player = NULL){
# some function that finds the player you want and creates url
# url <- find_player()
# url <- "https://www.baseball-reference.com/players/s/sabatc.01.shtml"
Sys.sleep(runif(1)*2)
# read the html
html <- xml2::read_html(url)
# get the pitching table
non_numeric_columns <- c("Tm", "Lg", "Awards")
df_pitching_raw <- html %>%
# html_nodes("table") %>%
html_nodes("#pitching_standard") %>%
html_table(fill = TRUE) %>%
dplyr::bind_rows() %>%
.[!is.na(names(.))]
print(url)
if(nrow(df_pitching_raw) == 0){
return(tibble::tibble())
}
df_pitching_raw %>%
mutate_at(vars(-one_of(non_numeric_columns)), as.numeric) %>%
mutate(lg_type = str_extract(Tm, "min")) %>%
invisible()
}
#'@export
#'
filter_career_totals <- function(df){
df %>%
filter(stringr::str_detect(Tm, "^\\d{1,2} Yrs?$"))
}
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