The goal of espnscrapeR is to collect or scrape QBR, NFL standings, and stats from ESPN.
The development version from GitHub with:
# install.packages("remotes")
remotes::install_github("jthomasmock/espnscrapeR")
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>