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
}
}
Build
python3 -m build
twine upload dist/sbrscrape-0.0.*
user: __token__
password: check pypi-token file
Metadata
Release files for sbrscrape 0.0.12
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| sbrscrape-0.0.12.tar.gz | 7.3 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| sbrscrape-0.0.12-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 14.1 kB
Release files / sbrscrape-0.0.12.tar.gz
| Download URL | sbrscrape-0.0.12.tar.gz |
|---|---|
| Size | 7.3 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
064ab8a74f34437ed0bae506894fcfc3fd4476fd9e27e985d78e7120fc597ed5
|
|
BLAKE2b-256 checksum How to use checksums |
a4bcde1e61434c239201cbae1ae82a93b3a33a1c938fb704fc6954de4d622f17
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.13.0
|
Release files / sbrscrape-0.0.12-py3-none-any.whl
| Download URL | sbrscrape-0.0.12-py3-none-any.whl |
|---|---|
| Size | 6.9 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
ee8c32085a1606ab7d36c5cf8317ead7ca229c43dddde3ed62fff74c1b1da3a4
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|
BLAKE2b-256 checksum How to use checksums |
4c29f252dcf4a8f1a84b18d7c52660dd00cfa90467b931177a21ce0e663fbb23
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.13.0
|