How do I get first half soccer odds history in Python?

The call

game_id comes from list_games. 1st half result is h2h_h1 and the handicap is spreads_h1.

import requests
import pandas as pd

API_KEY = "YOUR_API_KEY"

resp = requests.post(
    "https://mcp.strikerapi.com/v1/get_market_odds",
    headers={"x-api-key": API_KEY},
    json={
        "game_id": "401878763",
        "market": "totals_h1",
    },
    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 strikerapi

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": "401878763",
  "market": "totals_h1",
  "label": "1st half total goals",
  "scheduled_start": "2026-10-31T15:00:00.000Z",
  "books": [
    {
      "bookmaker": "fanduel",
      "opening": [
        {
          "outcome": "Over",
          "point": 0.5,
          "price": -290
        },
        {
          "outcome": "Under",
          "point": 2.5,
          "price": -1200
        }
      ],
      "opening_captured_at": "2026-10-31T14:25:36.000Z",
      "closing": [
        {
          "outcome": "Over",
          "point": 0.5,
          "price": -290
        },
        {
          "outcome": "Under",
          "point": 2.5,
          "price": -1200
        }
      ],
      "closing_captured_at": "2026-10-31T14:25:36.000Z",
      "minutes_before_start": 34.4
    },
    {
      "bookmaker": "pinnacle",
      "opening": [
        {
          "outcome": "Over",
          "point": 1,
          "price": -121
        },
        {
          "outcome": "Under",
          "point": 1,
          "price": 103
        }
      ],
      "opening_captured_at": "2026-10-31T14:25:36.000Z",
      "closing": [
        {
          "outcome": "Over",
          "point": 1,
          "price": -121
        },
        {
          "outcome": "Under",
          "point": 1,
          "price": 103
        }
      ],
      "closing_captured_at": "2026-10-31T14:25:36.000Z",
      "minutes_before_start": 34.4
    }
  ],
  "count": 2
}

What to do next

• get_events (10 credits). Every event in the match with its minute, to settle a half-time bet.
• get_odds (5 credits). The full-match moneylines, handicap and total.

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The same guide for other sports

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