scrape_game_play_by_play: Scrape an individual game's play-by-play data from NFL.com
In maksimhorowitz/nflscrapR: Compiling the NFL Play-by-Play API for easy use in R

Description Usage Arguments Value Examples

Depending on the year and type of the given game id, this function returns the play-by-play data available from NFL.com from either JSON (games starting in 2009) or parsed HTML (regular and post-season games starting in 1998, pre-season games starting in 2000). The necessary info regarding the game's play-by-play data to be scraped (type and season) is provided by the scrape_game_ids function. In addition to all of the play-level data provided by the NFL, outputs from the 'nflscrapR' expected points and win probability models are also included, allowing an individual to conduct their own analysis with more advanced football statistics. A detailed description of the models methodologies can be found here: https://arxiv.org/abs/1802.00998. This function acts as a wrapper function for the scrape_json_play_by_play and scrape_html_play_by_play functions, deciding which to use depending on the input.

1	scrape_game_play_by_play(game_id, type, season, check_url = 1)

`game_id`	Ten digit game id (either numeric or character) associated with a given NFL game.
`type`	String indicating the type of game, must either be: "pre", "reg", or "post". This argument is required for entry to ensure proper handling of the type of play-by-play data for the given game.
`season`	Numeric 4-digit year associated with an NFL season for the given game id.
`check_url`	Indicator for whether or not to check if the game's url exists (default is 1, meaning yes). This is used to work with the `scrape_season_play_by_play` function that will perform its own check prior to scraping individual games.

Data frame where each individual row represents a single play in the game containing detailed information depending on the availability of data for the game. See scrape_json_play_by_play and scrape_html_play_by_play for documentation about the columns returned.

# Scrape the play-by-play data for the 2017 Super Bowl by first getting all
# of the post-season game ids then use the required info to scrape the 
# play-by-play data (knowing that it's the last game):
playoff_game_ids_17 <- scrape_game_ids(2017, type = "post")
sb_17_id <- playoff_game_ids_17$game_id[nrow(playoff_game_ids_17)]
sb_17_pbp <- scrape_game_play_by_play(game_id = sb_17_id, type = "post", 
                                      season = 2017)