How do I get first period NHL odds history in Python?
Each sportsbook's opening and closing 1st period total for a game, from May 2023, for the larger books.
Code verified November 3, 2026. One call to get_market_odds, 10 credits.
The call
game_id comes from get_games. Also 2nd and 3rd period totals, the 1st period result and puck line, and the regulation result.
import requests
import pandas as pd
API_KEY = "YOUR_API_KEY"
resp = requests.post(
"https://mcp.puckapi.com/v1/get_market_odds",
headers={"x-api-key": API_KEY},
json={
"game_id": "2023020781",
"market": "totals_p1",
},
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 puckapi
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": "2023020781",
"market": "totals_p1",
"label": "1st period total goals",
"scheduled_start": "2024-02-06T00:00:00.000Z",
"books": [
{
"bookmaker": "betmgm",
"opening": [
{
"outcome": "Over",
"point": 1.5,
"price": -155
},
{
"outcome": "Under",
"point": 1.5,
"price": 110
}
],
"opening_captured_at": "2024-02-05T23:25:39.000Z",
"closing": [
{
"outcome": "Over",
"point": 1.5,
"price": -155
},
{
"outcome": "Under",
"point": 1.5,
"price": 110
}
],
"closing_captured_at": "2024-02-05T23:25:39.000Z",
"minutes_before_start": 34.4
},
"...5 more"
],
"count": 7
}What to do next
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