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Merge pull request #32 from dcstats/2.0.0
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2.0.0
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dcstats authored Dec 27, 2023
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*.whl
build/
dist/
*.log
2 changes: 1 addition & 1 deletion LICENSE
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MIT License

Copyright (c) 2022 dacowan2
Copyright (c) 2022 Daniel Cowan

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
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73 changes: 42 additions & 31 deletions README.md
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[![PyPi Version](https://img.shields.io/pypi/v/cbbpy.svg)](https://pypi.org/project/cbbpy/) [![Downloads](https://pepy.tech/badge/cbbpy)](https://pepy.tech/project/cbbpy)
[![PyPi Version](https://img.shields.io/pypi/v/cbbpy.svg)](https://pypi.org/project/cbbpy/) [![Downloads](https://static.pepy.tech/badge/cbbpy)](https://pepy.tech/project/cbbpy)

# 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 basketball game.
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.

## Installation and import
CBBpy requires Python >= 3.7 as well as the following packages:
Expand All @@ -13,71 +13,82 @@ CBBpy requires Python >= 3.7 as well as the following packages:
* pytz>=2022.1
* tqdm>=4.63.0
* lxml>=4.9.0
* joblib>=1.1.0


Install using pip:
```
pip install cbbpy
```

As of now, CBBpy only offers a men's basketball scraper, which can be imported as such:
The men's and women's scrapers can be imported as such:
```
import cbbpy.mens_scraper as ms
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

`ms.get_game_info(game_id: str)` grabs all the metadata (game date, time, score, teams, referees, etc) for a particular game.
`s.get_game_info(game_id: str)` grabs all the metadata (game date, time, score, teams, referees, etc) for a particular game.

`ms.get_game_boxscore(game_id: str)` returns a pandas DataFrame with each player's stats for a particular game.
`s.get_game_boxscore(game_id: str)` returns a pandas DataFrame with each player's stats for a particular game.

`ms.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_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.

`ms.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_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.

`ms.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_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`.

`ms.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_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`.

`ms.get_game_ids(date: str)` returns a list of all game IDs for a particular date.
`s.get_game_ids(date: Union[str, datetime])` returns a list of all game IDs for a particular date.

## Examples

Function call:

`ms.get_game_info('401408636')`
```
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 | 401408636 | Kansas Jayhawks | 2305 | 1 | 34-6 | 72 | North Carolina Tar Heels | 153 | 8 | 29-10 | 69 | True | 0 | False | True | True | Men's Basketball Championship - National Championship | April 04, 2022 | 06:20 PM PDT | New Orleans, LA | Caesars Superdome | nan | 69,423 | TBS | Ron Groover | Terry Oglesby | Jeff Anderson |
| | 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:

`ms.get_game_boxscore('401408636')`
```
import cbbpy.womens_scraper as s
s.get_game_boxscore('401408636')
```

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 | 401408636 | Kansas Jayhawks | J. Wilson | 4431714 | F | True | 34 | 5 | 13 | 4 | 8 | 1 | 5 | 4 | 4 | 1 | 3 | 4 | 2 | 0 | 1 | 0 | 1 | 15 |
| 1 | 401408636 | Kansas Jayhawks | D. McCormack | 4397019 | F | True | 29 | 7 | 15 | 7 | 15 | 0 | 0 | 1 | 2 | 3 | 7 | 10 | 0 | 1 | 1 | 1 | 4 | 15 |
| 2 | 401408636 | Kansas Jayhawks | D. Harris | 4431983 | G | True | 27 | 1 | 5 | 1 | 4 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 3 | 1 | 4 | 0 | 2 |
| 3 | 401408636 | Kansas Jayhawks | C. Braun | 4431767 | G | True | 40 | 6 | 14 | 6 | 13 | 0 | 1 | 0 | 0 | 1 | 11 | 12 | 3 | 0 | 0 | 1 | 3 | 12 |
| 4 | 401408636 | Kansas Jayhawks | O. Agbaji | 4397018 | G | True | 37 | 4 | 9 | 3 | 5 | 1 | 4 | 3 | 8 | 1 | 2 | 3 | 1 | 1 | 1 | 2 | 1 | 12 |
| | 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:

`ms.get_game_pbp('401408636')`
```
import cbbpy.mens_scraper as s
s.get_game_pbp('401522202')
```

Returns (partially):
| | game_id | home_team | away_team | play_team | home_score | away_score | half | secs_left_half | secs_left_reg | play_desc | play_type | scoring_play | shooter | is_assisted | assist_player |
|---:|----------:|:----------------|:-------------------------|:-------------------------|-------------:|-------------:|-------:|-----------------:|----------------:|:-------------------------------------------------------------------|:------------|:---------------|:----------------|:--------------|:-----------------|
| 0 | 401408636 | Kansas Jayhawks | North Carolina Tar Heels | Kansas Jayhawks | 0 | 0 | 1 | 1200 | 2400 | Jump Ball won by Kansas | jump ball | False | | False | |
| 1 | 401408636 | Kansas Jayhawks | North Carolina Tar Heels | Kansas Jayhawks | 3 | 0 | 1 | 1179 | 2379 | Ochai Agbaji made Three Point Jumper. Assisted by Christian Braun. | jumper | True | Ochai Agbaji | True | Christian Braun |
| 2 | 401408636 | Kansas Jayhawks | North Carolina Tar Heels | North Carolina Tar Heels | 3 | 0 | 1 | 1161 | 2361 | Armando Bacot missed Jumper. | jumper | False | | False | |
| 3 | 401408636 | Kansas Jayhawks | North Carolina Tar Heels | Kansas Jayhawks | 3 | 0 | 1 | 1161 | 2361 | Christian Braun Defensive Rebound. | rebound | False | | False | |
| 4 | 401408636 | Kansas Jayhawks | North Carolina Tar Heels | Kansas Jayhawks | 5 | 0 | 1 | 1144 | 2344 | David McCormack made Jumper. Assisted by Dajuan Harris Jr.. | jumper | True | David McCormack | True | Dajuan Harris Jr |
| | 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 <[email protected]>.
35 changes: 26 additions & 9 deletions pyproject.toml
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Expand Up @@ -6,7 +6,7 @@ build-backend = "setuptools.build_meta"

[project]
name = "CBBpy"
version = "1.1.0"
version = "2.0.0"
description = 'A Python-based web scraper for NCAA basketball.'
readme = "README.md"
authors = [{ name = "Daniel Cowan", email = "[email protected]" }]
Expand All @@ -15,15 +15,32 @@ classifiers = [
"License :: OSI Approved :: MIT License",
"Programming Language :: Python :: 3",
]
keywords = ["college", "basketball", "scraper"]
keywords = [
"college",
"basketball",
"scraper",
"scraping",
"web scraper",
"data",
"espn",
"analysis",
"science",
"analytics",
"cbb",
"cbbpy",
"ncaa",
"ncaam",
"ncaaw",
]
dependencies = [
'pandas>=1.4.2',
'numpy>=1.22.3',
'python-dateutil>=2.8.2',
'pytz>=2022.1',
'tqdm>=4.63.0',
'lxml>=4.9.0',
]
'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>=1.2.0',
]
requires-python = ">=3.7"

[tool.setuptools.dynamic]
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