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ALLSCRAPE.R
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ALLSCRAPE.R
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#################################################################################
##### ALLSCRAPE LOAD || 10/05/18 #####
#################################################################################
## *** this Script is a slightly modified version of Manny Perry's Dry Scrape NHL scraper
## *** the original source code can be found here: https://github.com/mannyelk/corsica/blob/master/modules/dryscrape.R
## Dependencies - moved to source
#library(RCurl); library(rjson); #library(dplyr);
#library(lubridate); library(doMC); library(rvest)
### DRYSCRAPE ###
###############################################################################################################
## Description
# Dryscrape contains all functions and tools related to scraping data for Corsica
# Dependencies: Rcurl, rjson, dplyr, lubridate, doMC, user_functions, rvest
## Objects
c(20001:21230,
30111:30117, 30121:30127, 30131:30137, 30141:30147, 30151:30157, 30161:30167, 30171:30177, 30181:30187,
30211:30217, 30221:30227, 30231:30237, 30241:30247,
30311:30317, 30321:30327,
30411:30417
) %>%
as.character() ->
ds.all_games
c("Mozilla/5.0 (Macintosh; Intel Mac OS X 10_10_2) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/47.0.2526.111 Safari/537.36",
"Mozilla/5.0 (Windows NT 6.3; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/43.0.2357.130 Safari/537.36",
"Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/39.5.2171.95 Safari/537.36",
"Mozilla/5.0 (Windows NT 5.1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/46.0.2490.86 Safari/537.36"
) -> ds.user_agents
c("season", "game_id", "game_date", "session",
"event_index", "game_period", "game_seconds",
"event_type", "event_description", "event_detail",
"event_team", "event_player_1", "event_player_2", "event_player_3",
"event_length", "coords_x", "coords_y", "players_substituted",
"home_on_1", "home_on_2", "home_on_3", "home_on_4", "home_on_5", "home_on_6",
"away_on_1", "away_on_2", "away_on_3", "away_on_4", "away_on_5", "away_on_6",
"home_goalie", "away_goalie", "home_team", "away_team",
"home_skaters", "away_skaters", "home_score", "away_score",
"game_score_state", "game_strength_state", "highlight_code"
) -> ds.pbp_colnames
c("ANA", "ARI", "BOS", "BUF", "CAR", "CBJ",
"CGY", "CHI", "COL", "DAL", "DET", "EDM",
"FLA", "L.A", "MIN", "MTL", "N.J", "NSH",
"NYI", "NYR", "OTT", "PHI", "PIT", "S.J",
"STL", "T.B", "TOR", "VAN", "WPG", "WSH",
"PHX", "ATL", "VGK", "L.V"
) -> ds.team_list
data.frame(event = c("FAC", "HIT", "GvTk", "GOAL", "SHOT", "MISS", "BLOCK", "PENL",
"STOP", "PRDY", "PSTR", "PEND", "PERD", "SOC", "GEnd", "SOut",
"error", "TAKE", "GIVE", "early intermission", "nothing", "nothing"
),
code = as.character(c(502, 503, 504, 505, 506, 507, 508, 509,
516, 517, 518, 519, 520, 521, 522, 0,
9999, 1401, 1402, -2147483648, 1, 5)
)) -> ds.espn_codes
## Meta Functions
# Get PBP
ds.get_pbp <- function(season, game_id, try_tolerance = 3, agents = "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_10_2) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/47.0.2526.111 Safari/537.36") {
## Description
# get_pbp() imports the PBP page corresponding to a given year and game ID and returns a list object
url <- paste("http://www.nhl.com/scores/htmlreports/",
as.character(season),
"/PL0",
as.character(game_id),
".HTM",
sep = ""
)
raw_text <- NULL
while(class(raw_text) != "character" & try_tolerance > 0) {
try(
url %>%
getURL(header = FALSE,
.opts = curlOptions(referer = "nhl.com",
verbose = FALSE,
followLocation = TRUE,
useragent = agents[sample(1:length(agents), 1)]
)
)
) ->
raw_text
try_tolerance <- try_tolerance - 1
}
html <- read_html(raw_text)
all <- html_nodes(html, "td")
body <- html_nodes(html, ".bborder")
full_text <- html_text(all)
body_text <- html_text(body)
pbp_list <- list(full_text, body_text)
return(pbp_list)
}
# Get Shifts
ds.get_shifts <- function(season, game_id, venue, source, try_tolerance = 3, agents = "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_10_2) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/47.0.2526.111 Safari/537.36") {
## Description
# get_shifts() imports the shift report page corresponding to a given year, game ID and venue and returns a list object
if(tolower(source) == "htm") {
if(tolower(venue) == "home") {
url <- paste("http://www.nhl.com/scores/htmlreports/",
season,
"/TH0",
game_id,
".HTM",
sep = ""
)
} else if(tolower(venue) == "away") {
url <- paste("http://www.nhl.com/scores/htmlreports/",
season,
"/TV0",
game_id,
".HTM",
sep = ""
)
}
raw_text <- NULL
while(class(raw_text) != "character" & try_tolerance > 0) {
try(
url %>%
getURL(header = FALSE,
.opts = curlOptions(referer = "nhl.com",
verbose = FALSE,
followLocation = TRUE,
useragent = agents[sample(1:length(agents), 1)]
)
)
) ->
raw_text
try_tolerance <- try_tolerance - 1
}
html <- read_html(raw_text)
outer_text <- html_text(html_nodes(html, ".border"))
inner_text <- html_text(html_nodes(html, ".bborder"))
shifts_list <- list(outer_text, inner_text)
return(shifts_list)
} else if(tolower(source) == "json") {
year <- substr(season, 0, 4)
url <- paste("http://www.nhl.com/stats/rest/shiftcharts?cayenneExp=gameId=",
as.character(year),
"0",
as.character(game_id),
sep = ""
)
raw_text <- NULL
json_check <- NULL
while({class(raw_text) != "character" | class(json_check) != "list"} & try_tolerance > 0) {
try(
url %>%
getURL(header = FALSE,
.opts = curlOptions(referer = "nhl.com",
verbose = FALSE,
followLocation = TRUE,
useragent = agents[sample(1:length(agents), 1)]
)
)
) ->
raw_text
json_check <- try(fromJSON(raw_text), silent = TRUE)
try_tolerance <- try_tolerance - 1
}
raw_json <- try(fromJSON(raw_text), silent = TRUE)
if(class(raw_json) == "try-error") {raw_json <- NULL}
return(raw_json)
}
}
# Get Roster
ds.get_roster <- function(season, game_id, try_tolerance = 3, agents = "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_10_2) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/47.0.2526.111 Safari/537.36") {
## Description
# get_roster() imports the Roster page corresponding to a given year and game ID and returns a character vector
url <- paste("http://www.nhl.com/scores/htmlreports/",
as.character(season),
"/RO0",
as.character(game_id),
".HTM",
sep = ""
)
raw_text <- NULL
while(class(raw_text) != "character" & try_tolerance > 0) {
try(
url %>%
getURL(header = FALSE,
.opts = curlOptions(referer = "nhl.com",
verbose = FALSE,
followLocation = TRUE,
useragent = agents[sample(1:length(agents), 1)]
)
)
) ->
raw_text
try_tolerance <- try_tolerance - 1
}
html <- read_html(raw_text)
all <- html_nodes(html, "tr")
full_text <- html_text(all)
return(full_text)
}
# Get Highlights
ds.get_highlights <- function(season, game_id, try_tolerance = 3, agents = "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_10_2) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/47.0.2526.111 Safari/537.36") {
## Description
# get_highlights() imports the highlights page corresponding to a given year and game ID and returns a JSON list object
url <- paste("http://live.nhle.com/GameData/",
as.character(season),
"/",
substr(as.character(season), 0, 4),
"0",
as.character(game_id),
"/gc/gcgm.jsonp",
sep = ""
)
raw_text <- NULL
json_check <- NULL
while({class(raw_text) != "character" | class(json_check) != "list"} & try_tolerance > 0) {
try(
url %>%
getURL(header = FALSE,
.opts = curlOptions(referer = "nhl.com",
verbose = FALSE,
followLocation = TRUE,
useragent = agents[sample(1:length(agents), 1)]
)
)
) ->
raw_text
clean_text <- gsub("^.+?\\(\\{", "\\{", raw_text)
json_check <- try(fromJSON(clean_text), silent = TRUE)
try_tolerance <- try_tolerance - 1
}
clean_text <- gsub("^.+?\\(\\{", "\\{", raw_text)
raw_json <- try(fromJSON(clean_text), silent = TRUE)
if(class(raw_json) == "try-error") {raw_json <- NULL}
return(raw_json)
}
# Get Coordinates
ds.get_coordinates <- function(season, game_id, source, date, away_team, try_tolerance = 3, agents = "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_10_2) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/47.0.2526.111 Safari/537.36") {
## Description
# get_coordinates() imports the event coordinates corresponding to a given year and game ID and returns a list object
if(tolower(source) == "espn") {
day <- gsub("-", "", as.character(date))
url <- paste("http://scores.espn.go.com/nhl/scoreboard?date=",
day,
sep = ""
)
raw_text <- NULL
while(class(raw_text) != "character" & try_tolerance > 0) {
try(
url %>%
getURL(header = FALSE,
.opts = curlOptions(referer = "sports.espn.go.com",
verbose = FALSE,
followLocation = TRUE,
useragent = agents[sample(1:length(agents), 1)]
)
)
) ->
raw_text
try_tolerance <- try_tolerance - 1
}
game_ids <- unique(unlist(regmatches(raw_text, gregexpr("gameId=[0-9]+", raw_text))))
teams <- toupper(gsub("team/_/name/|>|</div>", "", unique(unlist(regmatches(raw_text, gregexpr("team/_/name/[a-zA-Z]+|>(Coyotes|Thrashers)</div>", raw_text))))))
teams[which(teams == "PHX")] <- "ARI"
teams[which(teams == "TB")] <- "T.B"
teams[which(teams == "NJ")] <- "N.J"
teams[which(teams == "SJ")] <- "S.J"
teams[which(teams == "LA")] <- "L.A"
teams[which(teams == "COYOTES")] <- "ARI"
teams[which(teams == "THRASHERS")] <- "ATL"
if (as.numeric(season) < 20110000) {teams[which(teams == "WPG")] <- "ATL"}
matrix(unique(teams),
byrow = TRUE,
ncol = 2
) %>%
data.frame() ->
team_mat
cbind(game_ids,
team_mat
) %>%
data.frame() %>%
rename(awayteam = X1,
hometeam = X2
) ->
url_match
game_url <- first(as.character(url_match$game_ids[which(as.character(url_match$awayteam) == as.character(away_team) | as.character(url_match$hometeam) == as.character(away_team))]))
url <- paste("http://sports.espn.go.com/nhl/gamecast/data/masterFeed?lang=en&isAll=true&rand=0&",
game_url,
sep = ""
)
raw_text <- NULL
while(class(raw_text) != "character" & try_tolerance > 0) {
try(
url %>%
getURL(header = FALSE,
.opts = curlOptions(referer = "sports.espn.go.com",
verbose = FALSE,
followLocation = TRUE,
useragent = agents[sample(1:length(agents), 1)]
)
)
) ->
raw_text
try_tolerance <- try_tolerance - 1
}
events <- unlist(regmatches(raw_text, gregexpr("<Play.*?/Play>", raw_text)))
if(length(events) > 0) {
do.call(cbind,
strsplit(events, "[\\[~]")
) %>%
t() %>%
data.frame() %>%
select(5, 3, 4, 6, 7, 11) ->
event_mat
colnames(event_mat) <- c("event_code",
"xcoord",
"ycoord",
"time",
"period",
"description"
)
event_mat$event_type <- ds.espn_codes$event[match(event_mat$event_code, ds.espn_codes$code)]
event_mat$seconds <- 1200*(nabs(event_mat$period) - 1) + ds.seconds_from_ms(event_mat$time)
return(event_mat)
} else {return(NULL)}
} else if(tolower(source) == "nhl") {
year <- substr(season, 0, 4)
url <- paste("https://statsapi.web.nhl.com/api/v1/game/",
as.character(year),
"0",
as.character(game_id),
"/feed/live?site=en_nhl",
sep = ""
)
raw_text <- NULL
json_check <- NULL
while({class(raw_text) != "character" | class(json_check) != "list"} & try_tolerance > 0) {
try(
url %>%
getURL(header = FALSE,
.opts = curlOptions(referer = "nhl.com",
verbose = FALSE,
followLocation = TRUE,
useragent = agents[sample(1:length(agents), 1)]
)
)
) ->
raw_text
json_check <- try(fromJSON(raw_text), silent = TRUE)
try_tolerance <- try_tolerance - 1
}
raw_json <- try(fromJSON(raw_text), silent = TRUE)
if(class(raw_json) == "try-error") {
return(NULL)
} else {
event_mat <- dcapply(raw_json$liveData$plays$allPlays,
ds.parse_event,
"rbind",
cores = 1
)
event_mat$game_id <- na_if_null(nabs(raw_json$gameData$game$pk))
return(event_mat)
}
}
}
# Get Team Profile
ds.get_team_profile <- function(team_id, try_tolerance = 3, agents = "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_10_2) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/47.0.2526.111 Safari/537.36") {
## Description
# get_team_profile() imports the team profile page corresponding to a given team ID and returns a JSON list object
url <- paste("https://statsapi.web.nhl.com/api/v1/teams/",
as.character(team_id),
sep = ""
)
raw_text <- NULL
json_check <- NULL
while({class(raw_text) != "character" | class(json_check) != "list"} & try_tolerance > 0) {
try(
url %>%
getURL(header = FALSE,
.opts = curlOptions(referer = "nhl.com",
verbose = FALSE,
followLocation = TRUE,
useragent = agents[sample(1:length(agents), 1)]
)
)
) ->
raw_text
json_check <- try(fromJSON(raw_text))
try_tolerance <- try_tolerance - 1
}
raw_json <- try(fromJSON(raw_text))
if(class(raw_json) == "try-error") {raw_json <- NULL}
return(raw_json)
}
# Get Player Profile
ds.get_player_profile <- function(player_id, try_tolerance = 3, agents = "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_10_2) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/47.0.2526.111 Safari/537.36") {
## Description
# get_player_profile() imports the player profile page corresponding to a given player ID and returns a JSON list object
url <- paste("https://statsapi.web.nhl.com/api/v1/people/",
as.character(player_id),
sep = ""
)
raw_text <- NULL
json_check <- NULL
while({class(raw_text) != "character" | class(json_check) != "list"} & try_tolerance > 0) {
try(
url %>%
getURL(header = FALSE,
.opts = curlOptions(referer = "nhl.com",
verbose = FALSE,
followLocation = TRUE,
useragent = agents[sample(1:length(agents), 1)]
)
)
) ->
raw_text
json_check <- try(fromJSON(raw_text))
try_tolerance <- try_tolerance - 1
}
raw_json <- try(fromJSON(raw_text))
if(class(raw_json) == "try-error") {raw_json <- NULL}
return(raw_json)
}
# Get Schedule
ds.get_schedule <- function(start, end, try_tolerance = 3, agents = "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_10_2) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/47.0.2526.111 Safari/537.36") {
## Description
# get_schedule() imports the schedule page corresponding to a given date range and returns a JSON list object
url <- paste("https://statsapi.web.nhl.com/api/v1/schedule?startDate=",
as.character(start),
"&endDate=",
as.character(end),
sep = ""
)
raw_text <- NULL
json_check <- NULL
while({class(raw_text) != "character" | class(json_check) != "list"} & try_tolerance > 0) {
try(
url %>%
getURL(header = FALSE,
.opts = curlOptions(referer = "nhl.com",
verbose = FALSE,
followLocation = TRUE,
useragent = agents[sample(1:length(agents), 1)]
)
)
) ->
raw_text
json_check <- try(fromJSON(raw_text))
try_tolerance <- try_tolerance - 1
}
raw_json <- try(fromJSON(raw_text))
if(class(raw_json) == "try-error") {raw_json <- NULL}
return(raw_json)
}
# Parse PBP Event
ds.parse_event <- function(x) {
## Description
# parse_event() parses a single event from the PBP JSON object and returns a data frame
x$players %>%
sapply(function(p) as.character(p$player$id)) %>%
unlist() %>%
c(rep(NA,
times = (4 - length(x$players))
)
) ->
player_ids
data.frame(game_date = NA,
game_id = NA,
season = NA,
session = NA,
event_id = na_if_null(nabs(x$about$eventIdx)),
event_code = na_if_null(as.character(x$result$eventCode)),
event_type = na_if_null(as.character(x$result$eventTypeId)),
event_description = na_if_null(as.character(x$result$description)),
event_detail = na_if_null(as.character(x$result$secondaryType)),
datetime = na_if_null(as.character(parse_date_time(x$about$dateTime, "y-m-d.H:M:S."))),
game_period = na_if_null(nabs(x$about$period)),
period_time_elapsed = na_if_null(as.character(x$about$periodTime)),
period_time_remaining = na_if_null(as.character(x$about$periodTimeRemaining)),
event_team = na_if_null(as.character(x$team$id)),
event_player_1 = na_if_null(player_ids[1]),
event_player_2 = na_if_null(player_ids[2]),
event_player_3 = na_if_null(player_ids[3]),
event_player_4 = na_if_null(player_ids[4]),
coords_x = na_if_null(x$coordinates$x),
coords_y = na_if_null(x$coordinates$y),
highlight_id = na_if_null(nabs(x$about$eventId))
) ->
event_df
return(event_df)
}
# Parse Highlight
ds.parse_highlight <- function(x) {
## Description
# parse_highlight() parses a single highlight from the Highlights JSON object and returns a data frame
data.frame(game_date = NA,
game_id = NA,
season = NA,
session = NA,
event_id = na_if_null(x$id),
highlight_id = na_if_null(x$feeds[[1]]$neulionId),
event_team_1 = na_if_null(x$t1),
event_team_2 = na_if_null(x$t2),
event_period = na_if_null(x$p),
event_seconds = na_if_null(x$sip),
event_type = na_if_null(x$type)
) ->
highlight_df
return(highlight_df)
}
# Parse Game
ds.parse_game <- function(x) {
## Description
# parse_game() parses a single game from the Schedule >> Date JSON object and returns a data frame
# parse_game() is an inner function for parse_date()
data.frame(game_id = na_if_null(nabs(x$gamePk)),
game_date = na_if_null(as.character(as.Date(x$gameDate))),
season = na_if_null(as.character(x$season)),
session = na_if_null(as.character(x$gameType)),
game_status = na_if_null(as.character(x$status$detailedState)),
away_team_id = na_if_null(nabs(x$teams$away$team$id)),
home_team_id = na_if_null(nabs(x$teams$home$team$id)),
game_venue = na_if_null(as.character(x$venue$name)),
game_datetime = na_if_null(as.character(parse_date_time(x$gameDate, "y-m-d.H:M:S.")))
) ->
game_df
return(game_df)
}
# Parse Date
ds.parse_date <- function(x) {
## Description
# parse_date() parses a single date from the Schedule JSON object and returns a data frame
# parse_date() uses an inner function parse_game()
date_df <- dcapply(x$games,
ds.parse_game,
"rbind",
cores = 1
)
return(date_df)
}
# Parse Player
ds.parse_player <- function(x) {
## Description
# parse_player() parses a single player from the PBP JSON object and returns a data frame
data.frame(player_id = x$person$id,
player_name = x$person$fullName,
player_number = x$jerseyNumber,
position = x$position$code
) ->
player_df
return(player_df)
}
# Seconds from MS
ds.seconds_from_ms <- function(ms) {
## Description
# seconds_from_ms() returns a numeric vector of representation in seconds of a given vector in M:S format
strsplit(as.character(ms), ":") %>%
unlist() %>%
nabs() %>%
matrix(ncol = 2,
byrow = TRUE
) ->
time_mat
seconds <- 60*time_mat[, 1] + time_mat[, 2]
return(seconds)
}
# Clean Nums
ds.clean.nums <- function(x) {
## Description
# clean_nums() returns a list of player number identifiers for a given event description
t <- gsub("#|ONGOAL - ", "", as.character(unlist(x)))
t2 <- list(c(t, rep(NA, times = (3 - length(t)))))
return(t2)
}
#Parse Shifts
ds.parse_shifts <- function(player, venue, inner, outer) {
## Description
# parse_shifts() returns a matrix containing shift information for a single player
if(tolower(venue) == "home") {
index <- which(outer[-1] == player)
inner[which(inner == "Shift #" | inner == "Présence #Shift #")[index]:(which(inner == "SHF" | inner == "PR/SHF")[index]-3)] %>%
matrix(ncol = 6,
byrow = TRUE
) %>%
data.frame() %>%
mutate(num_first_last = player,
venue = venue
) %>%
filter(X2 != "Per") %>%
data.frame() ->
shift_mat
} else if(tolower(venue) == "away") {
index <- which(outer[-1] == player)
inner[which(inner == "Shift #" | inner == "Présence #Shift #")[index]:(which(inner == "SHF" | inner == "PR/SHF")[index]-3)] %>%
matrix(ncol = 6,
byrow = TRUE
) %>%
data.frame() %>%
mutate(num_first_last = player,
venue = venue
) %>%
filter(X2 != "Per") %>%
data.frame() ->
shift_mat
}
return(shift_mat)
}
# Parse Shift
ds.parse_shift <- function(x) {
## Description
# parse_shift() parses a single shift from the Shifts JSON object and returns a data frame
data.frame(game_date = NA,
game_id = na_if_null(nabs(x$gameId)),
season = NA,
session = NA,
shift_number = na_if_null(nabs(x$eventNumber)),
shift_period = na_if_null(nabs(x$period)),
shift_start = na_if_null(as.character(x$startTime)),
shift_end = na_if_null(as.character(x$endTime)),
shift_duration = na_if_null(as.character(x$duration)),
team = na_if_null(as.character(x$teamAbbrev)),
player_id = na_if_null(as.character(x$playerId)),
player_name_fist = na_if_null(as.character(x$firstName)),
player_name_last = na_if_null(as.character(x$lastName))
) ->
shift_df
return(shift_df)
}
# Is On
ds.is_on <- function(player, pbp, venue) {
## Description
# is_on() returns a numeric vector indicating 1 if a given player is on ice during the event corresponding to the \
# row index in the given PBP pbject
regex <- paste(player,
",|",
player,
"$",
sep = ""
)
if(venue == "Home") {
data.frame(cumsum(1*(grepl(regex, pbp$players_substituted) == TRUE & pbp$event_type == "ON" & pbp$event_team == pbp$home_team) -
1*(grepl(regex, pbp$players_substituted) == TRUE & pbp$event_type == "OFF" & pbp$event_team == pbp$home_team)
)
) ->
is_on
} else if(venue == "Away") {
data.frame(cumsum(1*(grepl(regex, pbp$players_substituted) == TRUE & pbp$event_type == "ON" & pbp$event_team == pbp$away_team) -
1*(grepl(regex, pbp$players_substituted) == TRUE & pbp$event_type == "OFF" & pbp$event_team == pbp$away_team)
)
) ->
is_on
}
colnames(is_on) <- player
return(is_on)
}
# Is On
ds.find_goalie <- function(players, roster) {
## Description
# find_goalie() returns a vector containing all goaltenders in a given player vector
index <- which(players %in% roster$team_num[which(roster$player_position == "G")])
goalie <- na_if_null(players[index])
return(goalie)
}
# Fix Names
ds.fix_names <- function(name_vect) {
## Description
# fix_names() returns a vector of player names corrected for multiple spelling variants
name_vect[which(name_vect == "PK.SUBBAN" | name_vect == "P.K.SUBBAN")] <- "P.K..SUBBAN"
name_vect[which(name_vect == "TJ.OSHIE" | name_vect == "T.J.OSHIE")] <- "T.J..OSHIE"
name_vect[which(name_vect == "BJ.CROMBEEN" | name_vect == "B.J.CROMBEEN" | name_vect == "BRANDON.CROMBEEN")] <- "B.J..CROMBEEN"
name_vect[which(name_vect == "ILJA.BRYZGALOV")] <- "ILYA.BRYZGALOV"
name_vect[which(name_vect == "CAMERON.BARKER")] <- "CAM.BARKER"
name_vect[which(name_vect == "CHRIS.VANDE VELDE")] <- "CHRIS.VANDEVELDE"
name_vect[which(name_vect == "DANIEL.CARCILLO")] <- "DAN.CARCILLO"
name_vect[which(name_vect == "DANIEL.CLEARY")] <- "DAN.CLEARY"
name_vect[which(name_vect == "DANIEL.GIRARDI")] <- "DAN.GIRARDI"
name_vect[which(name_vect == "DAVID JOHNNY.ODUYA")] <- "JOHNNY.ODUYA"
name_vect[which(name_vect == "DAVID.BOLLAND")] <- "DAVE.BOLLAND"
name_vect[which(name_vect == "DWAYNE.KING")] <- "DJ.KING"
name_vect[which(name_vect == "EVGENII.DADONOV")] <- "EVGENY.DADONOV"
name_vect[which(name_vect == "FREDDY.MODIN")] <- "FREDRIK.MODIN"
name_vect[which(name_vect == "HARRISON.ZOLNIERCZYK")] <- "HARRY.ZOLNIERCZYK"
name_vect[which(name_vect == "J P.DUMONT" | name_vect == "JEAN-PIERRE.DUMONT")] <- "J-P.DUMONT"
name_vect[which(name_vect == "JEAN-FRANCOIS.JACQUES")] <- "J-F.JACQUES"
name_vect[which(name_vect == "JONATHAN.AUDY-MARCHESSAULT")] <- "JONATHAN.MARCHESSAULT"
name_vect[which(name_vect == "JOSHUA.HENNESSY")] <- "JOSH.HENNESSY"
name_vect[which(name_vect == "KRISTOPHER.LETANG")] <- "KRIS.LETANG"
name_vect[which(name_vect == "KRYSTOFER.BARCH")] <- "KRYS.BARCH"
name_vect[which(name_vect == "MARTIN.ST LOUIS")] <- "MARTIN.ST. LOUIS"
name_vect[which(name_vect == "MATTHEW.CARLE")] <- "MATT.CARLE"
name_vect[which(name_vect == "MATTHEW.DUMBA")] <- "MATT.DUMBA"
name_vect[which(name_vect == "JOSEPH.CORVO")] <- "JOE.CORVO"
name_vect[which(name_vect == "TOBY.ENSTROM")] <- "TOBIAS.ENSTROM"
name_vect[which(name_vect == "MICHAEL.SANTORELLI")] <- "MIKE.SANTORELLI"
name_vect[which(name_vect == "MICHAEL.CAMMALLERI")] <- "MIKE.CAMMALLERI"
name_vect[which(name_vect == "MICHAEL.FERLAND")] <- "MICHEAL.FERLAND"
name_vect[which(name_vect == "PIERRE.PARENTEAU" | name_vect == "PIERRE-ALEX.PARENTEAU" | name_vect == "PA.PARENTEAU" | name_vect == "P.A.PARENTEAU" | name_vect == "P-A.PARENTEAU")] <- "P.A..PARENTEAU"
name_vect <- gsub("ALEXANDER.|ALEXANDRE.", "ALEX.", name_vect)
name_vect <- gsub("CHRISTOPHER.", "CHRIS.", name_vect)
name_vect[which(name_vect == "NICOLAS.PETAN")] <- "NIC.PETAN"
name_vect[which(name_vect == "NIKOLAI.KULEMIN")] <- "NIKOLAY.KULEMIN"
name_vect[which(name_vect == "MATTHEW.BENNING")] <- "MATT.BENNING"
name_vect[which(name_vect == "JAMES.HOWARD")] <- "JIMMY.HOWARD"
name_vect[which(name_vect == "EMMANUEL.FERNANDEZ")] <- "MANNY.FERNANDEZ"
name_vect[which(name_vect == "EMMANUEL.LEGACE")] <- "MANNY.LEGACE"
name_vect[which(name_vect == "SIMEON.VARLAMOV")] <- "SEMYON.VARLAMOV"
name_vect[which(name_vect == "MAXIME.TALBOT")] <- "MAX.TALBOT"
name_vect[which(name_vect == "MITCHELL.MARNER")] <- "MITCH.MARNER"
name_vect[which(name_vect == "ANDREW.MILLER")] <- "DREW.MILLER"
name_vect[which(name_vect == "EDWARD.PURCELL")] <- "TEDDY.PURCELL"
name_vect[which(name_vect == "NICKLAS.GROSSMAN")] <- "NICKLAS.GROSSMANN"
return(name_vect)
}
## General Functions
# Who
ds.who <- function(player_id) {
## Description
# who() searches a given player ID and returns the player's full name
player <- ds.get_player_profile(player_id)
full_name <- player$people[[1]]$fullName
return(full_name)
}
# Scrape Team Profile
ds.scrape_team_profile <- function(team_id, try_tolerance = 3, agents = "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_10_2) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/47.0.2526.111 Safari/537.36") {
## Description
# scrape_team_profile() collects and parses the data for a team corresponsing to a given team ID
# A data frame is returned
team_id_ <- nabs(team_id)
team <- ds.get_team_profile(team_id_, try_tolerance, agents)
data.frame(team_id = na_if_null(nabs(team$teams[[1]]$id)),
team_name = na_if_null(team$teams[[1]]$name),
team_alias = na_if_null(team$teams[[1]]$abbreviation),
team_venue = na_if_null(team$teams[[1]]$venue$name),
team_location = na_if_null(team$teams[[1]]$locationName),
team_city = na_if_null(team$teams[[1]]$venue$city),
team_division_id = na_if_null(nabs(team$teams[[1]]$division$id)),
team_division_name = na_if_null(team$teams[[1]]$division$name),
team_conference_id = na_if_null(nabs(team$teams[[1]]$conference$id)),
team_conference_name = na_if_null(team$teams[[1]]$conference$name),
franchise_id = na_if_null(nabs(team$teams[[1]]$franchiseId)),
is_active = na_if_null(as.logical(team$teams[[1]]$active))
) ->
team_df
return(team_df)
}
# Scrape Player Profile
ds.scrape_player_profile <- function(player_id, try_tolerance = 3, agents = "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_10_2) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/47.0.2526.111 Safari/537.36") {
## Description
# scrape_player_profile() collects and parses the data for a player corresponsing to a given player ID
# A data frame is returned