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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, Competitions, Competition

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.aclose()
index = competitions.index()
index
[{'fotmob_id': '47',
  'fbref_id': '9',
  'fbref_path_name': 'Premier-League',
  'official_name': 'Premier League'},
 {'fotmob_id': '87',
  'fbref_id': '12',
  'fbref_path_name': 'La-Liga',
  'official_name': 'La Liga'},
 {'fotmob_id': '54',
  'fbref_id': '20',
  'fbref_path_name': 'Bundesliga',
  'official_name': 'Bundesliga'},
 {'fotmob_id': '55',
  'fbref_id': '11',
  'fbref_path_name': 'Serie-A',
  'official_name': 'Serie A'},
 {'fotmob_id': '53',
  'fbref_id': '13',
  'fbref_path_name': 'Ligue-1',
  'official_name': 'Ligue 1'}]

You can also use it like this

import httpx

async with httpx.AsyncClient() as client:
    fusion = Fusion(client=client)
    competition = await fusion.get_competition(**index[0])
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',
 'names': {'Premier League'}}
competition.teams[1]
{'id': '9825',
 'name': 'Arsenal',
 'names': {'Arsenal'},
 'played': 16,
 'wins': 11,
 'draws': 3,
 'losses': 2,
 'goals_for': 33,
 'goals_against': 15,
 'points': 36,
 'logo': 'https://resources.premierleague.com/premierleague/badges/rb/t3.svg',
 'shooting': {'shots': 237.0, 'xg': 29.0}}

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