A Python-based web scraper for NCAA basketball.
Project description
CBBpy: A Python-based web scraper for NCAA basketball
Purpose
This package is designed to bridge the gap between data and analysis for NCAA D1 basketball. CBBpy can grab play-by-play, boxscore, and other game metadata for any NCAA D1 men's or women's basketball game. Inspired by the ncaahoopR package by Luke Benz - check that out if you are an R user!
Installation and import
CBBpy requires Python >= 3.9 as well as the following packages:
- pandas>=1.4.2
- numpy>=1.22.3
- python-dateutil>=2.8.2
- pytz>=2022.1
- tqdm>=4.63.0
- lxml>=4.9.0
- joblib>=1.1.0
- bs4>=0.0.1
- requests>=2.27.0
Install using pip:
pip install cbbpy
The men's and women's scrapers can be imported as such:
import cbbpy.mens_scraper as s
import cbbpy.womens_scraper as s
Functions available in CBBpy
NOTE: game ID, as far as CBBpy is concernced, is a valid ESPN game ID
s.get_game_info(game_id: str)
grabs all the metadata (game date, time, score, teams, referees, etc) for a particular game.
s.get_game_boxscore(game_id: str)
returns a pandas DataFrame with each player's stats for a particular game.
s.get_game_pbp(game_id: str)
scrapes the play-by-play tables for a game and returns a pandas DataFrame, with each entry representing a play made during the game.
s.get_game(game_id: str, info: bool = True, box: bool = True, pbp: bool = True)
gets all information about a game (game info, boxscore, PBP) and returns a tuple of results (game_info, boxscore, pbp)
. info, box, pbp
are booleans which users can set to False
if there is any information they wish not to scrape. For example, box = False
would return an empty DataFrame for the boxscore info, while scraping PBP and metadata info normally.
s.get_games_season(season: int, info: bool = True, box: bool = True, pbp: bool = True)
scrapes all game information for all games in a particular season. As an example, to scrape games for the 2020-21 season, call get_games_season(2021)
. Returns a tuple of 3 DataFrames, similar to get_game
. See get_game
for an explanation of booleans info, box, pbp
.
s.get_games_range(start_date: str, end_date: str, info: bool = True, box: bool = True, pbp: bool = True)
scrapes all game information for all games between start_date
and end_date
(inclusive). As an example, to scrape games between November 30, 2022 and December 10, 2022, call get_games_season('11-30-2022', '12-10-2022')
. Returns a tuple of 3 DataFrames, similar to get_game
. See get_game
for an explanation of booleans info, box, pbp
.
s.get_game_ids(date: Union[str, datetime])
returns a list of all game IDs for a particular date.
Examples
Function call:
import cbbpy.mens_scraper as s
s.get_game_info('401522202')
Returns:
game_id | home_team | home_id | home_rank | home_record | home_score | away_team | away_id | away_rank | away_record | away_score | home_win | num_ots | is_conference | is_neutral | is_postseason | tournament | game_day | game_time | game_loc | arena | arena_capacity | attendance | tv_network | referee_1 | referee_2 | referee_3 | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
0 | 401522202 | UConn Huskies | 41 | 4 | 31-8 | 76 | San Diego State Aztecs | 21 | 5 | 32-7 | 59 | True | 0 | False | True | True | Men's Basketball Championship - National Championship | April 03, 2023 | 06:20 PM PDT | Houston, TX | NRG Stadium | 0 | 72423 | CBS | Ron Groover | Terry Oglesby | Keith Kimble |
Function call:
import cbbpy.womens_scraper as s
s.get_game_boxscore('401528028')
Returns (partially):
game_id | team | player | player_id | position | starter | min | fgm | fga | 2pm | 2pa | 3pm | 3pa | ftm | fta | oreb | dreb | reb | ast | stl | blk | to | pf | pts | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
0 | 401528028 | LSU Tigers | A. Reese | 4433402 | F | True | 29 | 5 | 12 | 5 | 12 | 0 | 0 | 5 | 8 | 6 | 4 | 10 | 5 | 3 | 1 | 0 | 3 | 15 |
1 | 401528028 | LSU Tigers | L. Williams | 4280886 | F | True | 37 | 9 | 16 | 9 | 16 | 0 | 0 | 2 | 2 | 1 | 4 | 5 | 0 | 3 | 0 | 3 | 4 | 20 |
2 | 401528028 | LSU Tigers | F. Johnson | 4698736 | G | True | 37 | 4 | 11 | 3 | 7 | 1 | 4 | 1 | 1 | 2 | 5 | 7 | 4 | 1 | 0 | 4 | 1 | 10 |
3 | 401528028 | LSU Tigers | K. Poole | 4433418 | G | True | 24 | 2 | 3 | 0 | 1 | 2 | 2 | 0 | 2 | 0 | 3 | 3 | 1 | 0 | 1 | 1 | 2 | 6 |
4 | 401528028 | LSU Tigers | A. Morris | 4281251 | G | True | 33 | 8 | 14 | 7 | 11 | 1 | 3 | 4 | 4 | 1 | 1 | 2 | 9 | 1 | 0 | 2 | 3 | 21 |
Function call:
import cbbpy.mens_scraper as s
s.get_game_pbp('401522202')
Returns (partially):
game_id | home_team | away_team | play_desc | home_score | away_score | half | secs_left_half | secs_left_reg | play_team | play_type | shooting_play | scoring_play | is_three | shooter | is_assisted | assist_player | shot_x | shot_y | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
0 | 401522202 | UConn Huskies | San Diego State Aztecs | Jump Ball won by UConn | 0 | 0 | 1 | 1200 | 2400 | UConn Huskies | jump ball | False | False | False | False | nan | nan | ||
1 | 401522202 | UConn Huskies | San Diego State Aztecs | Jordan Hawkins made Jumper. Assisted by Adama Sanogo. | 2 | 0 | 1 | 1174 | 2374 | UConn Huskies | jumper | True | True | False | Jordan Hawkins | True | Adama Sanogo | 18 | 15 |
2 | 401522202 | UConn Huskies | San Diego State Aztecs | Lamont Butler made Three Point Jumper. Assisted by Matt Bradley. | 2 | 3 | 1 | 1152 | 2352 | San Diego State Aztecs | three point jumper | True | True | True | Lamont Butler | True | Matt Bradley | 39 | 22 |
3 | 401522202 | UConn Huskies | San Diego State Aztecs | Tristen Newton Turnover. | 2 | 3 | 1 | 1130 | 2330 | UConn Huskies | turnover | False | False | False | False | nan | nan | ||
4 | 401522202 | UConn Huskies | San Diego State Aztecs | Darrion Trammell made Three Point Jumper. Assisted by Keshad Johnson. | 2 | 6 | 1 | 1108 | 2308 | San Diego State Aztecs | three point jumper | True | True | True | Darrion Trammell | True | Keshad Johnson | 1 | 0 |
Contact
Feel free to reach out to me directly with any questions, requests, or suggestions at dnlcowan37@gmail.com.
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