apisports 0.3.1

No project description provided

A simple python library for easy querying of APISports data.

Example usage

from apisports import Football

api = Football(api_key='XXXXXXXX')

# get all players for Chelsea FC (id=49) for the 2020 season
# and sort by age

players = api.players(season=2020, team=49)

if not players.ok:
    print("something went wrong: " + players.error_description)
else:
    sorted_by_age = sorted(players, key=lambda player : player['player']['age'])
    def format_player(player):
        return "{firstname} {lastname}: {age}".format(
            firstname = player['player']['firstname'],
            lastname = player['player']['lastname'],
            age = player['player']['age']
        )

    for player in sorted_by_age:
        print(format_player(player))

outputs:

Harvey Vale: 18
Dynel Simeu: 19
Myles Peart-Harris: 19
Ian Maatsen: 19
Valentino Livramento: 19
Lewis Bate: 19
Karlo Žiger: 20
Henry Lawrence: 20
Billy Gilmour: 20
Faustino Anjorin: 20
Armando Broja: 20
Marc Guehi: 21
Conor Gallagher: 21
Tariq Lamptey: 21
Juan Familia-Castillo: 21
Ethan Ampadu: 21
Callum Hudson-Odoi: 21
Jamie Cumming: 22
Luke McCormick: 22
Kai Havertz: 22
Mason Mount: 22
Reece James: 22
Christian Pulisic: 23
Nathan Baxter: 23
Isaiah Brown: 24
Fikayo Tomori: 24
Jake Clarke-Salter: 24
Tammy Bakumo-Abraham: 24
Ruben Loftus-Cheek: 25
Robert Kenedy Nunes do Nascimento: 25
Ben Chilwell: 25
Timo Werner: 25
Andreas Bødtker Christensen: 25
Lewis Baker: 26
Kepa Arrizabalaga Revuelta: 27
Emerson Palmieri dos Santos: 27
Mateo Kovačić: 27
Kurt Happy Zouma: 27
Ross Barkley: 28
Hakim Ziyech: 28
Antonio Rüdiger: 28
Michy Batshuayi Tunga: 28
Davide Zappacosta: 29
Edouard Mendy: 29
Jorge Luiz Frello Filho: 30
N'Golo Kanté: 30
Victor Moses: 31
Marcos Alonso Mendoza: 31
César Azpilicueta Tanco: 32
Willian Borges da Silva: 33
Pedro Eliezer Rodríguez Ledesma: 34
Olivier Giroud: 35
Thiago Emiliano da Silva: 37
Wilfredo Daniel Caballero: 40