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fbref_scraper.R
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fbref_scraper.R
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library(tidyverse)
library(XML)
library(RCurl)
library(furrr)
library(glue)
plan(multicore(workers = parallel::detectCores() - 1))
options(future.fork.enable = T)
get_match_stats <- function(game_html) {
### Get metadata about the match
text <- unlist(str_split(game_html, "<a href=\"/en/matches/"))
date <- as.Date(substring(text[2], 1, 10))
game_url <- paste0("https://fbref.com/en/matches/", gsub("\".*", "", text[3]))
home_team <- gsub("^.*\">", "", gsub("</a>.*", "", gsub("^.*data-stat=\"squad_a\" >", "", game_html)))
away_team <- gsub("^.*\">", "", gsub("</a>.*", "", gsub("^.*data-stat=\"squad_b\" >", "", game_html)))
home_xg <- as.numeric(gsub("</td>.*", "", gsub("^.*data-stat=\"xg_a\" >", "", game_html)))
away_xg <- as.numeric(gsub("</td>.*", "", gsub("^.*data-stat=\"xg_b\" >", "", game_html)))
referee <- gsub(".*>", "", gsub("</td>.*", "", gsub("^.*data-stat=\"referee\".csk=\"", "", game_html)))
attendance <- as.numeric(gsub(",", "", gsub(".*>", "", gsub("</td>.*", "", gsub("^.*data-stat=\"attendance\".csk=\"", "", game_html)))))
scores <- as.numeric(str_extract(unlist(str_split(game_html, "–")), "^\\d+|\\d+$"))
home_score <- scores[1]
away_score <- scores[2]
if(!is.na(home_score) & is.na(attendance)) {
attendance <- 0
}
df <- tibble("date" = date,
"home" = home_team,
"away" = away_team,
"home_score" = home_score,
"away_score" = away_score,
"home_xg" = home_xg,
"away_xg" = away_xg,
"attendance" = attendance,
"referee" = referee,
"match_report_url" = game_url)
### Lots of stats from the match report
if(!str_detect(game_url, "NA")) {
match_report <- readHTMLTable(getURL(game_url))
ix <- which(grepl("summary", names(match_report)))
home_ix <- ix[1]
away_ix <- ix[2]
home_df <- match_report[[home_ix]]
away_df <- match_report[[away_ix]]
misc_ix <- which(grepl("misc", names(match_report)))
if(length(misc_ix) > 0 & !is.null(home_df) & !is.null(away_df)) {
names(home_df)[c(25, 27, 29, 31)] <- c("pATT", "pPrgDist", "cPrgDist", "dAtt")
names(away_df)[c(25, 27, 29, 31)] <- c("pATT", "pPrgDist", "cPrgDist", "dAtt")
home_df <-
select(home_df,
"pk_goals" = PK,
"pk_attempts" = PKatt,
"yellow_cards" = CrdY,
"red_cards" = CrdR,
"shots" = Sh,
"shots_on_target" = SoT,
"touches" = Touches,
"pressures" = Press,
"tackles" = Tkl,
"interceptions" = Int,
"blocks" = Blocks,
"shot_creating_actions" = SCA,
"goal_creating_actions" = GCA,
"passes_attempted" = pATT,
# "passes_completed" = Cmp,
# "carries" = Carries,
"passing_progressive_dist" = pPrgDist,
"carry_progressive_dist" = cPrgDist,
"dribble_attempts" = dAtt,
# "dribble_success" = Succ
) %>%
mutate_all(as.character) %>%
mutate_all(as.numeric) %>%
apply(2, sum) %>%
tibble::enframe(.) %>%
pivot_wider(names_from = name,
values_from = value) %>%
mutate("fouls_committed" = sum(as.numeric(as.character(match_report[[misc_ix[1]]]$Fls))))
away_df <-
select(away_df,
"pk_goals" = PK,
"pk_attempts" = PKatt,
"yellow_cards" = CrdY,
"red_cards" = CrdR,
"shots" = Sh,
"shots_on_target" = SoT,
"touches" = Touches,
"pressures" = Press,
"tackles" = Tkl,
"interceptions" = Int,
"blocks" = Blocks,
"shot_creating_actions" = SCA,
"goal_creating_actions" = GCA,
"passes_attempted" = pATT,
# "passes_completed" = Cmp,
# "carries" = Carries,
"passing_progressive_dist" = pPrgDist,
"carry_progressive_dist" = cPrgDist,
"dribble_attempts" = dAtt,
# "dribble_success" = Succ
) %>%
mutate_all(as.character) %>%
mutate_all(as.numeric) %>%
apply(2, sum) %>%
tibble::enframe(.) %>%
pivot_wider(names_from = name,
values_from = value) %>%
mutate("fouls_committed" = sum(as.numeric(as.character(match_report[[misc_ix[2]]]$Fls))))
names(home_df) <- paste0("home_", names(home_df))
names(away_df) <- paste0("away_", names(away_df))
} else if(!is.null(home_df) & !is.null(away_df)) {
home_df <-
select(home_df,
"pk_goals" = PK,
"pk_attempts" = PKatt,
"yellow_cards" = CrdY,
"red_cards" = CrdR,
"shots" = Sh,
"shots_on_target" = SoT,
"tackles" = TklW,
"interceptions" = Int,
"fouls_committed" = Fls) %>%
mutate_all(as.character) %>%
mutate_all(as.numeric) %>%
apply(2, sum, na.rm = T) %>%
tibble::enframe(.) %>%
pivot_wider(names_from = name,
values_from = value)
away_df <-
select(away_df,
"pk_goals" = PK,
"pk_attempts" = PKatt,
"yellow_cards" = CrdY,
"red_cards" = CrdR,
"shots" = Sh,
"shots_on_target" = SoT,
"tackles" = TklW,
"interceptions" = Int,
"fouls_committed" = Fls) %>%
mutate_all(as.character) %>%
mutate_all(as.numeric) %>%
apply(2, sum, na.rm = T) %>%
tibble::enframe(.) %>%
pivot_wider(names_from = name,
values_from = value)
names(home_df) <- paste0("home_", names(home_df))
names(away_df) <- paste0("away_", names(away_df))
} else {
home_df <- NULL
away_df <- NULL
}
} else {
home_df <- NULL
away_df <- NULL
}
df <- bind_cols(df, home_df, away_df)
return(df)
}
### Scrape Data
league_info <- read_csv("league_info.csv")
for(i in 1:nrow(league_info)) {
base_url <- league_info$fbref_url[i]
league_id <- league_info$fbref_league_id[i]
league <- gsub("https://fbref.com/en/comps/\\d+/history/", "", gsub("-Seasons", "", base_url))
x <- scan(base_url, sep = "\n", what = "")
x <- x[str_detect(x, "<tr ><th scope=\"row\" class=\"left \" data-stat=\"season\"")]
years <- gsub(".*-Stats\">", "", gsub("</a>.*", "", gsub("<tr ><th scope=\"row\" class=\"left \" data-stat=\"season\" >", "", x)))
season_ids <- as.numeric(gsub("\\/.*", "", gsub(glue(".*/en/comps/{league_id}/"), "", x)))
urls <- gsub("NA\\/", "", paste0("https://fbref.com/en/comps/", league_id, "/", season_ids, "/schedule/", years, "-", league, "-Fixtures"))
urls <- urls[!str_detect(years, "2021")]
years <- years[!str_detect(years, "2021")]
if(!dir.exists(paste0("fbref_data/", gsub("\\s", "_", tolower(league_info$alias[i]))))) {
dir.create(paste0("fbref_data/", gsub("\\s", "_", tolower(league_info$alias[i]))))
}
for(j in 1:5) {
url <- urls[j]
x <- scan(url, what = "", sep = "\n")
x <- x[str_detect(x, "data-stat=\"gameweek|round\" ") & str_detect(x, "<tr ><th scope=\"row\"")]
### LSB Change added as of 2021-04-25 to fix scraping issue w/ fbref.com . Data not re-scraped
y <- str_split(x[1], '</td></tr>')[[1]]
df_stats <- future_map_dfr(y, ~get_match_stats(.x)) %>%
distinct() %>%
filter(!is.na(date)) %>%
mutate("season" = years[j])
write_csv(df_stats, paste0("fbref_data/", gsub("\\s", "_", tolower(league_info$alias[i])), "/", years[j], ".csv"))
}
}