sports.py

Gather live up-to-date sports scores. Baseball, basketball, cricket, football, handball, hockey, rugby, soccer, tennis, and volleyball currently functional

Installation

Requires Python 2.7 or Python >= 3.5

pip install sports.py

Usage

List of valid sports:

• Baseball: baseball
• Basketball: basketball
• Cricket: cricket
• Football: football
• Handball: handball
• Hockey: hockey
• Rugby: rugby-union or rugby-league
• Soccer: soccer
• Tennis: tennis
• Volleyball: volleyball

Get a single match

get_match_score() takes three parameters:

• sport: Name of sport being played (see above for a list of valid sports)
• team1: Name of city of a team in a match (Not case-sensitive)
• team2: Name of city of a team in a match (Not case-sensitive)

import sports_py

match = sports_py.get_match_score('tennis', 'Murray', 'Federer')
print('{}-{}'.format(match.home_score, match.away_score))

This returns a single Match object which contains the following properties:

• sport: Sport of the match
• league: League of the match
• home_team: Home team
• away_team: Away team
• home_score: Home team score
• away_score: Away team score
• match_time: Current match time
• match_date: datetime object: date the match was played
• match_link: Link to an XML file containing match data

Get multiple matches

get_sport_scores() takes one parameter:

• sport: Name of sport (see above for list of valid sports)

import sports_py

matches = sports_py.get_sport_scores('basketball')
for match in matches:
    print('{} vs {}: {}-{}'.format(match.home_team, match.away_team,
                                       match.home_score, match.away_score))

This returns a list of Match objects which contain the same properties described above

Get all live matches

import sports_py

all_matches = sports_py.get_all_matches()
for sport in all_matches:
    for match in sport:
            print('{} vs {}: {}-{}'.format(match.home_team, match.away_team,
                                               match.home_score, match.away_score))

Convert Match objects to JSON

import sports_py

pens_json = sports_py.get_match_score('hockey', 'panguins', 'predators').to_json()
print(pens_game)

Get extra team info

Only works with MLB, NFL, and NHL teams

Get team information including overall record, championships won and more.

get_team_info() takes two parameters:

• sport: Sport of the team the find
• team: Name of city or team to find (Not case-sensitive)

Properties available to all valid teams/sports:

• name: Name of the team
• seasons: Total number of seasons played
• record: Overall regular season record
• champs: Number of total championships (Includes pre-merger champs for NFL)
• leaders: Overall team leaders for certain statistical categories
• raw: Dictionary containing all gathered info

Properties available to only MLB teams:

• pennants: Total number of AL/NL championships

Properties available to only NFL teams:

• super_bowls: Total number of Super Bowls

Properties available to only NHL teams:

• points: Total number of regular season points earned

Properties available to both NFL/NHL teams:

• playoff_record: Overall playoff record

Properties available to both MLB/NHL teams:

• playoff_app: Total number of playoff appearances

import sports_py

pirates = sports_py.get_team_info('baseball', 'pirates')
print(pirates.pennants)

penguins = sports_py.get_team_info('hockey', 'penguins')
print(penguins.points)

steelers = sports_py.get_team_info('football', 'steelers')
print(steelers.super_bowls)

Credits

Evan Sloan: evansloan082@gmail.com