sports.py

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

Scrapes data from:

• scorespro.com
• pro-football-reference.com
• baseball-reference.com
• basketball-reference.com
• hockey-reference.com

Installation

Python >= 3.5

pip install sports.py

Usage

import sports

Valid sports:

• Baseball: sports.BASEBALL
• Basketball: sports.BASKETBALL
• Cricket: sports.CRICKET
• Football: sports.FOOTBALL
• Handball: sports.HANDBALL
• Hockey: sports.HOCKEY
• Rugby Union: sports.RUGBY_U
• Rugby League: sports.RUGBY_L
• Soccer: sports.SOCCER
• Tennis: sports.TENNIS
• Volleyball: sports.VOLLEYBALL

Get a single match

get_match() takes three parameters:

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

get_match() 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: Date the match was played
• match_link: Link to an XML file containing match data

match = sports.get_match(sports.TENNIS, 'Murray', 'Federer')

Get multiple matches

get_sport() takes one parameter:

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

get_sport() returns a list of Match objects which contain the same properties described above

matches = sports.get_sport(sports.BASKETBALL)

Get all live matches

all_matches() returns a dictionary of Match objects grouped by sport conatining data from all live matches.

all_matches = sports.all_matches()
baseball = all_matches['baseball']

Get extra team info

Only works with MLB, NBA, NFL, and NHL teams

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

get_team() 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 MLB, NBA, NHL teams:

• playoff_app: Total number of playoff appearances

pirates = sports.get_team(sports.BASEBALL, 'pirates')
print(pirates.pennants)

penguins = sports.get_team(sports.HOCKEY, 'penguins')
print(penguins.points)

steelers = sports.get_team(sports.FOOTBALL, 'steelers')
print(steelers.super_bowls)

sixers = sports.get_team(sports.BASKETBALL, '76ers')
print(sixers.playoff_app)