fu-scrapper 1.0.2

NBA data Scrapper for stats analysis

FU-Scrapper

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This package allow you to get data in csv format optimized for data analysis

Python tool that can save you a lot of time in research and modeling data for analysis. Here you can extract data from any listed source like NBA data and put it into a csv file.

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Features

NBA api

• Player stats data
• Team stats data
• Game stats data
• Game details stats data
• Ranking data

More comming soon ...

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Installation

Use python package manager to install fu-scrapper (pip) :

pip install fu-scrapper

You can find this package available on PyPi here.

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Usage

Initialize the source that you need and use the functions provided by the package :

# import and precise the source
# in our case it's nba
from fu-scrapper.nba.players import Players
from fu-scrapper.nba.teams import Teams

if __name__ = '__main__':
    # Player class instantiation
    players = Players()
    # All players general stats into csv file
    players.extract_players()

    # team class instantiation
    teams = Teams()
    # All teams total stats into csv file
    teams.extract_teams_details()

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Functions

NBA Api

function	descritpion
players.extract_players()	Extract all players informations and global stats for the current season into a csv file
teams.extract_teams()	Extract all teams informations and global stats for the current season into a csv file
teams.extract_teams_details()	Extract all teams details by games
games.next_week_games()	Get informations of all next week games into csv file
games.last_week_games()	Get all last week game details
games.today_games()	Get listing of today games into csv file
games.new_games()	Get all new game stats and ranking into a csv file

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License

Copyright (c) 2021 Fujyn
Licensed under the MIT license.

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Contributing

Bugs & New Features

Please use the issue tracker to report any bugs or feature requests.