How do I get first quarter NBA odds history in Python?

The call

game_id comes from list_games. Also the 1st half winner, spread and total, and each quarter's total.

import requests
import pandas as pd

API_KEY = "YOUR_API_KEY"

resp = requests.post(
    "https://mcp.dunkapi.com/v1/get_market_odds",
    headers={"x-api-key": API_KEY},
    json={
        "game_id": "401585019",
        "market": "spreads_q1",
    },
    timeout=60,
)
resp.raise_for_status()
data = resp.json()["data"]

books = pd.DataFrame([
    {"book": b["bookmaker"], **{f'{o["outcome"]} {o["point"] if o["point"] is not None else ""}'.strip(): o["price"] for o in b["closing"]}}
    for b in data["books"]
])
print(data["label"])
print(books)

Replace YOUR_API_KEY with a key from your dashboard. Python needs requests and pandas (pip install requests pandas). JavaScript runs on Node 18 or newer, or in the browser.

Or use the official client: pip install dunkapi

What comes back

The data object of the response, trimmed to the first rows. Every field is real output from the run above.

{
  "game_id": "401585019",
  "market": "spreads_q1",
  "label": "1st quarter point spread",
  "scheduled_start": "2023-12-24T00:00:00.000Z",
  "books": [
    {
      "bookmaker": "betmgm",
      "opening": [
        {
          "outcome": "Indiana Pacers",
          "point": -0.5,
          "price": -110
        },
        {
          "outcome": "Orlando Magic",
          "point": 0.5,
          "price": -110
        }
      ],
      "opening_captured_at": "2023-12-23T23:35:38.000Z",
      "closing": [
        {
          "outcome": "Indiana Pacers",
          "point": -0.5,
          "price": -110
        },
        {
          "outcome": "Orlando Magic",
          "point": 0.5,
          "price": -110
        }
      ],
      "closing_captured_at": "2023-12-23T23:35:38.000Z",
      "minutes_before_start": 24.4
    },
    "...5 more"
  ],
  "count": 7
}

What to do next

• get_plays (10 credits). Every play with its quarter, to settle a quarter line.
• get_odds (5 credits). Each book's full-game moneyline, spread and total.

More guides

• How do I get NBA play-by-play data in Python?
• How do I build an NBA shot chart by zone in Python?
• How do I backtest NBA closing lines in Python?
• How do I compare NBA team pace and efficiency in pandas?

The same guide for other sports

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