NBA scores and schedule

import requests
from datetime import date, datetime, timedelta
from zoneinfo import ZoneInfo

API_KEY = "YOUR_API_KEY"
ET = ZoneInfo("America/New_York")

session = requests.Session()
session.headers["X-API-Key"] = API_KEY

day = date.today()
for _ in range(7):
    answer = session.get(
        f"https://sportapi.ai/api/basketball/games/date/{day}",
        params={"tz": "America/New_York", "league": "nba"},
        timeout=20,
    ).json()
    for g in answer["data"]:
        tip = datetime.fromisoformat(g["start"].replace("Z", "+00:00")).astimezone(ET)
        if g["status"] == "NS":
            middle = tip.strftime("%I:%M %p ET")
        else:
            middle = f'{g["away"]["score"]}-{g["home"]["score"]} {g["status"]}'
        print(day, g["away"]["abbreviation"], "@", g["home"]["abbreviation"], middle)
    day += timedelta(days=1)

{
  "success": true,
  "date": "2026-11-13",
  "tz": "America/New_York",
  "data": [
    {
      "id": 1643,
      "league": {
        "id": 1,
        "name": "NBA",
        "slug": "nba"
      },
      "season": "2026-27",
      "stage": "regular",
      "start": "2026-11-14T00:00:00Z",
      "status": "NS",
      "live": false,
      "period": null,
      "clock": null,
      "home": {
        "id": 28,
        "name": "Indiana Pacers",
        "slug": "indiana-pacers",
        "abbreviation": "IND",
        "score": null,
        "periods": []
      },
      "away": {
        "id": 1,
        "name": "New York Knicks",
        "slug": "new-york-knicks",
        "abbreviation": "NY",
        "score": null,
        "periods": []
      },
      "venue": "Gainbridge Fieldhouse"
    }
  ]
}