Scrape football data from multiple sources simultaneously.
Project description
fusion-stat
A football data scraper that can scrape data from multiple sources simultaneously.
Installation
pip install fusion-stat
Usage
from fusion_stat import Fusion
You can use it like this
async with Fusion() as fusion:
competitions = await fusion.get_competitions()
or
fusion = Fusion()
competitions = await fusion.get_competitions()
await fusion.close()
params = competitions.get_params()
pl_params = next(params)
pl_params
{'fotmob_id': '47',
'fbref_id': '9',
'fbref_path_name': 'Premier-League',
'official_name': 'Premier League',
'transfermarkt_id': 'GB1',
'transfermarkt_path_name': 'premier-league'}
The client uses httpx.AsyncClient, you can also customize parameters.
import httpx
client = httpx.AsyncClient()
async with Fusion(client=client) as fusion:
competition = await fusion.get_competition(**pl_params)
competition.info
{'id': '47',
'name': 'Premier League',
'logo': 'https://www.premierleague.com/resources/rebrand/v7.129.2/i/elements/pl-main-logo.png',
'type': 'league',
'season': '2023/2024',
'country_code': 'ENG',
'names': {'Premier League'},
'market_values': '€10.96bn',
'player_average_market_value': '€19.54m'}
competition.teams[1]
{'id': '8456',
'name': 'Manchester City',
'names': {'Man City', 'Manchester City'},
'played': 20,
'wins': 13,
'draws': 4,
'losses': 3,
'goals_for': 48,
'goals_against': 23,
'points': 43,
'country_code': 'ENG',
'market_values': '€1.29bn',
'logo': 'https://resources.premierleague.com/premierleague/badges/rb/t43.svg',
'shooting': {'shots': 333, 'xg': 39.7}}
Project details
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