Scrape odds data from sbrodds
Project description
sbrscrape
Python script to scrape sports betting odds data from sbrodds.
from sbrscrape import Scoreboard
games = Scoreboard(sport="NFL").games
games[0]
{
"date": "2023-01-08T18:00:00+00:00",
"status": "13:00 ET",
"home_team": "Atlanta Falcons",
"home_team_loc": "Atlanta",
"home_team_abbr": "ATL",
"home_team_rank": -1,
"away_team": "Tampa Bay Buccaneers",
"away_team_loc": "Tampa Bay",
"away_team_abbr": "TB",
"away_team_rank": -1,
"home_score": 0,
"away_score": 0,
"home_spread": {
"betmgm": -4,
"draftkings": -4,
"fanduel": -4.5,
"caesars": -4,
"pointsbet": -4,
"wynn": -4,
"bet_rivers_ny": -4
},
"home_spread_odds": {
"betmgm": -110,
"draftkings": -110,
"fanduel": -104,
"caesars": -110,
"pointsbet": -110,
"wynn": -110,
"bet_rivers_ny": -113
},
"away_spread": {
"betmgm": 4,
"draftkings": 4,
"fanduel": 4.5,
"caesars": 4,
"pointsbet": 4,
"wynn": 4,
"bet_rivers_ny": 4
},
"away_spread_odds": {
"betmgm": -110,
"draftkings": -110,
"fanduel": -118,
"caesars": -110,
"pointsbet": -110,
"wynn": -110,
"bet_rivers_ny": -110
},
"under_odds": {
"betmgm": -110,
"draftkings": -110,
"fanduel": -110,
"caesars": -110,
"pointsbet": -110,
"wynn": -110,
"bet_rivers_ny": -112
},
"over_odds": {
"betmgm": -110,
"draftkings": -110,
"fanduel": -110,
"caesars": -110,
"pointsbet": -110,
"wynn": -110,
"bet_rivers_ny": -112
},
"total": {
"betmgm": 40.5,
"draftkings": 40.5,
"fanduel": 40.5,
"caesars": 40,
"pointsbet": 40.5,
"wynn": 40.5,
"bet_rivers_ny": 40.5
},
"home_ml": {
"betmgm": -200,
"draftkings": -195,
"fanduel": -194,
"caesars": -196,
"pointsbet": -210,
"wynn": -204,
"bet_rivers_ny": -200
},
"away_ml": {
"betmgm": 165,
"draftkings": 165,
"fanduel": 164,
"caesars": 162,
"pointsbet": 175,
"wynn": 170,
"bet_rivers_ny": 175
}
}
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