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scrape_players.R
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##
## scrape_players: players in squads
## scrape_flag: national team flags
## scrape_colours: national team kits
## scrape_comp: competition teams and logos
##
library(tidyverse)
library(rvest)
library(countrycode)
library(janitor)
d <- tibble(
year = c(1930, 1934, 1938, seq(1950, 2018, 4)),
teams = c(13, 16, 15, 13, rep(16, 7), rep(24, 4), rep(32, 6)),
url = paste0("https://en.wikipedia.org/wiki/", year,"_FIFA_World_Cup_squads")
)
get_players <- function(u, n){
# u = d$url[i];u
# n = d$teams[i]
h <- read_html(u)
hh <- h %>%
html_nodes("table.sortable")
p <- tibble(
squads = hh %>%
html_table()
) %>%
mutate(nn = map(.x = squads, .f = ~nrow(x = .x)),
nn = unlist(nn),
squad_list = nn >= 11,
table_no = cumsum(squad_list),
squad_list = ifelse(table_no > n, FALSE, squad_list))
s <- h %>%
html_nodes(".mw-headline") %>%
html_text() %>%
str_subset(pattern = "Group", negate = TRUE) %>%
.[1:n]
tibble(
squad = s,
player = p$squads[p$squad_list]
) %>%
mutate(
player = map(
.x = player,
.f = ~mutate(.x, across(everything(), as.character))
)) %>%
unnest(cols = player) %>%
filter(Player != "") %>%
mutate(player_url = hh %>%
.[p$squad_list] %>%
html_nodes(".nat-fs-player th") %>%
html_node("a") %>%
html_attr("href"),
club_fa_url = hh %>%
.[p$squad_list] %>%
html_nodes("td:nth-last-child(1)") %>%
html_node("a") %>%
html_attr("href"),
club_fa = hh %>%
.[p$squad_list] %>%
html_nodes("td:nth-last-child(1)") %>%
html_node("a") %>%
html_attr("title"),
club = hh %>%
.[p$squad_list] %>%
html_nodes("td:nth-last-child(1)") %>%
html_text(trim = TRUE),
club_country = hh %>%
.[p$squad_list] %>%
html_nodes("td:nth-last-child(1)") %>%
html_node(".flagicon") %>%
html_node(".thumbborder") %>%
html_attr("alt"),
club_country_flag = hh %>%
.[p$squad_list] %>%
html_nodes("td:nth-last-child(1)") %>%
html_node(".flagicon") %>%
html_node("img") %>%
html_attr("src")
)
}
d0 <- d %>%
mutate(players = map2(.x = url, .y = teams,
.f = ~get_players(u = .x, n = .y)))
# for(i in 1:nrow(d))
# get_players(u = d$url[i], n = d$teams[i])
d1 <- d0 %>%
unnest(cols = c("players")) %>%
clean_names() %>%
select(-url, -teams) %>%
mutate(pos = str_sub(string = pos, start = 2),
captain = str_detect(string = player, pattern = "captain|Captain|\\(c\\)"),
player_original = player,
player = str_remove(string = player, pattern = " \\s*\\([^\\)]+\\)"))
cm <- c("CSSR" = "CSK",
"Czechoslovakia" = "CSK",
"England" = "GB-ENG",
"Northern Ireland" = "GB-NIR",
"Scotland" = "GB-SCT",
"Wales" = "GB-WLS",
"Serbia and Montenegro" = "SCG",
"FR Yugoslavia" = "SCG",
"Yugoslavia" = "YUG",
"Kingdom of Yugoslavia" = "YUG",
"Federal Republic of Yugoslavia" = "YUG",
"USSR" = "SUN",
"Soviet Union" = "SUN",
"East Germany" = "DDR",
"Dutch East Indies" = "DEI")
# d1 <- read_csv("./data/wiki_players.csv", n_max = 1e6)
d2 <- d1 %>%
mutate(
nat_team = case_when(
squad == "Soviet Union" ~ "USSR",
squad == "China PR" ~ "China",
TRUE ~ squad
),
club_country_harm = case_when(
club_country == "Wales" ~ "England",
club_country == "Soviet Union" ~ "USSR",
club_country == "Socialist Federal Republic of Yugoslavia" ~ "Yugoslavia",
club_country == "Kingdom of Yugoslavia" ~ "Yugoslavia",
club_country == "Federal Republic of Yugoslavia" ~ "Serbia and Montenegro",
TRUE ~ club_country),
nat_team_alpha3 = countrycode(
sourcevar = nat_team, origin = "country.name",
destination = "iso3c", custom_match = cm),
club_alpha3 = countrycode(
sourcevar = club_country_harm, origin = "country.name",
destination = "iso3c", custom_match = cm),
club_country_flag = str_remove(string = club_country_flag, pattern = "thumb"),
club_country_flag = str_remove(string = club_country_flag, pattern = "/[^/]+$")
)
# checks on nat_team and club_country_harm match
d2 %>%
# filter(is.na(nat_team))
# filter(is.na(nat_team_alpha3))
# filter(is.na(club_country_harm))
filter(is.na(club_alpha3))
x = d2 %>%
select(nat_team, club_country_harm) %>%
pivot_longer(cols = 1:2, names_to = "type", values_to = "label") %>%
select(-type) %>%
distinct() %>%
arrange(label)
# group_by(label) %>%
# mutate(n = n()) %>%
# arrange(desc(n))
write_excel_csv(d2 , "./data/wiki_players.csv")