espnscrapeR
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Published
20 hours ago •
jthomasmock
jthomasmock
Scrapes Or Collects NFL Data From ESPN
espnscrapeR
The goal of espnscrapeR is to collect or scrape QBR, NFL standings, and stats from ESPN.
Installation
The development version from GitHub with:
# install.packages("remotes")
remotes::install_github("jthomasmock/espnscrapeR")
Example
library(espnscrapeR)
# Get NFL QBR for the 2019 regular season week 4
get_nfl_qbr("2019", season_type = "Regular", week = 4)
#> Scraping weekly QBR for week 4 of 2019!
#> # A tibble: 31 × 29
#> season season_type game_id game_week week_text team_abb player_id name_short
#> <chr> <chr> <chr> <int> <chr> <chr> <chr> <chr>
#> 1 2019 Regular 401128069 4 Week 4 TB 2969939 J. Winston
#> 2 2019 Regular 401127863 4 Week 4 PHI 2573079 C. Wentz
#> 3 2019 Regular 401128109 4 Week 4 PIT 3116407 M. Rudolph
#> 4 2019 Regular 401128055 4 Week 4 LAC 5529 P. Rivers
#> 5 2019 Regular 401128093 4 Week 4 CHI 12471 C. Daniel
#> 6 2019 Regular 401128102 4 Week 4 DAL 2577417 D. Presco…
#> 7 2019 Regular 401128023 4 Week 4 DET 12483 M. Staffo…
#> 8 2019 Regular 401128097 4 Week 4 DEN 11252 J. Flacco
#> 9 2019 Regular 401127863 4 Week 4 GB 8439 A. Rodgers
#> 10 2019 Regular 401128018 4 Week 4 CLE 3052587 B. Mayfie…
#> # … with 21 more rows, and 21 more variables: rank <dbl>, qbr_total <dbl>,
#> # pts_added <dbl>, qb_plays <dbl>, epa_total <dbl>, pass <dbl>, run <dbl>,
#> # exp_sack <dbl>, penalty <dbl>, qbr_raw <dbl>, sack <dbl>, name_first <chr>,
#> # name_last <chr>, name_display <chr>, headshot_href <chr>, team <chr>,
#> # opp_id <chr>, opp_abb <chr>, opp_team <chr>, opp_name <chr>, week_num <int>
# Get NFL standings for 2010
get_nfl_standings(2010)
#> Returning 2010
#> # A tibble: 32 × 28
#> conf season team_id team_location team_name team_abb team_full team_logo
#> <chr> <int> <chr> <chr> <chr> <chr> <chr> <chr>
#> 1 AFC 2010 17 New England Patriots NE New Engla… https://a.e…
#> 2 AFC 2010 23 Pittsburgh Steelers PIT Pittsburg… https://a.e…
#> 3 AFC 2010 33 Baltimore Ravens BAL Baltimore… https://a.e…
#> 4 AFC 2010 20 New York Jets NYJ New York … https://a.e…
#> 5 AFC 2010 11 Indianapolis Colts IND Indianapo… https://a.e…
#> 6 AFC 2010 12 Kansas City Chiefs KC Kansas Ci… https://a.e…
#> 7 AFC 2010 24 San Diego Chargers SD San Diego… https://a.e…
#> 8 AFC 2010 13 Oakland Raiders OAK Oakland R… https://a.e…
#> 9 AFC 2010 30 Jacksonville Jaguars JAX Jacksonvi… https://a.e…
#> 10 AFC 2010 15 Miami Dolphins MIA Miami Dol… https://a.e…
#> # … with 22 more rows, and 20 more variables: seed <int>, wins <dbl>,
#> # losses <dbl>, win_pct <dbl>, g_behind <dbl>, ties <dbl>, pts_for <dbl>,
#> # pts_against <dbl>, pts_diff <dbl>, streak <dbl>, div_ties <dbl>,
#> # record <chr>, home_wins <dbl>, home_losses <dbl>, away_wins <dbl>,
#> # away_losses <dbl>, conf_wins <dbl>, conf_losses <dbl>, div_wins <dbl>,
#> # div_losses <dbl>
# Get NFL
scrape_espn_stats(2019, stat = "rushing")
#> Scraping rushing stats from 2019 Regular season!
#> # A tibble: 335 × 17
#> season season_type rush_rank name team pos games_played rush_att
#> <dbl> <chr> <int> <chr> <chr> <chr> <int> <int>
#> 1 2019 Regular 1 Derrick Henry TEN RB 15 303
#> 2 2019 Regular 2 Nick Chubb CLE RB 16 298
#> 3 2019 Regular 3 Christian McC… CAR RB 16 287
#> 4 2019 Regular 4 Ezekiel Ellio… DAL RB 16 301
#> 5 2019 Regular 5 Chris Carson SEA RB 15 278
#> 6 2019 Regular 6 Lamar Jackson BAL QB 15 176
#> 7 2019 Regular 7 Leonard Fourn… JAX RB 15 265
#> 8 2019 Regular 8 Josh Jacobs OAK RB 13 242
#> 9 2019 Regular 9 Joe Mixon CIN RB 16 278
#> 10 2019 Regular 10 Dalvin Cook MIN RB 14 250
#> # … with 325 more rows, and 9 more variables: rush_yards <dbl>, rush_avg <dbl>,
#> # rush_long <int>, rush_20plus <int>, rush_td <int>, rush_yards_game <dbl>,
#> # fumble <int>, fumble_lost <int>, rush_first_down <int>
# Get college QBR for 2014 week 5
get_college_qbr(season = 2014, type = "weekly")
#> Scraping QBR for all weeks of 2014!
#> # A tibble: 1,610 × 35
#> season week week_text week_type player_id player_uid player_guid name_first
#> <int> <int> <chr> <chr> <chr> <chr> <chr> <chr>
#> 1 2014 1 Week 1 Regular 533208 s:20~l:23~… d5b378f113… Cole
#> 2 2014 1 Week 1 Regular 515409 s:20~l:23~… 0467fbf0ba… Everett
#> 3 2014 1 Week 1 Regular 551184 s:20~l:23~… c268152939… Justin
#> 4 2014 1 Week 1 Regular 513329 s:20~l:23~… 3c75884248… Cody
#> 5 2014 1 Week 1 Regular 511459 s:20~l:23~… 33be1f4ad8… Marcus
#> 6 2014 1 Week 1 Regular 533270 s:20~l:23~… 30a818d641… Tommy
#> 7 2014 1 Week 1 Regular 548240 s:20~l:23~… 26507c0b44… Tyler
#> 8 2014 1 Week 1 Regular 511552 s:20~l:23~… ef65357cb9… Derrius
#> 9 2014 1 Week 1 Regular 504866 s:20~l:23~… 61b92d9914… Brandon
#> 10 2014 1 Week 1 Regular 482594 s:20~l:23~… b4348fe9fd… Taysom
#> # … with 1,600 more rows, and 27 more variables: name_last <chr>,
#> # name_display <chr>, name_short <chr>, team_name <chr>,
#> # team_short_name <chr>, slug <chr>, team_id <chr>, team_uid <chr>,
#> # age <int>, headshot_href <chr>, game_id <chr>, game_date <chr>,
#> # player_home_away <chr>, score <chr>, opp_team_id <chr>,
#> # opp_team_name <chr>, opp_team_short_name <chr>, qbr_total <dbl>,
#> # pts_added <dbl>, qb_plays <dbl>, epa_total <dbl>, pass <dbl>, run <dbl>, …
# Get NFL teams with logos, colors, alternatives, etc
get_nfl_teams()
#> Getting NFL teams!
#> # A tibble: 32 × 8
#> team_id team_name team_nickname team_abb team_full_name team_color
#> <chr> <chr> <chr> <chr> <chr> <chr>
#> 1 22 Cardinals Arizona ARI Arizona Cardinals #A40227
#> 2 1 Falcons Atlanta ATL Atlanta Falcons #000000
#> 3 33 Ravens Baltimore BAL Baltimore Ravens #2B025B
#> 4 2 Bills Buffalo BUF Buffalo Bills #04407F
#> 5 29 Panthers Carolina CAR Carolina Panthers #2177B0
#> 6 3 Bears Chicago CHI Chicago Bears #152644
#> 7 4 Bengals Cincinnati CIN Cincinnati Bengals #FF2700
#> 8 5 Browns Cleveland CLE Cleveland Browns #4C230E
#> 9 6 Cowboys Dallas DAL Dallas Cowboys #002E4D
#> 10 7 Broncos Denver DEN Denver Broncos #002E4D
#> # … with 22 more rows, and 2 more variables: team_alt_color <chr>, logo <chr>
jthomasmock