Sportsbook API: Access Bet365, DraftKings & 350+ Bookmakers

How To Guides February 13, 2026

The Problem with Single-Sportsbook APIs

Search for “sportsbook API” and you’ll find guides on connecting to individual books—Bet365, DraftKings, FanDuel. Each requires separate documentation, separate authentication, and a separate integration.

Want to compare odds across 10 sportsbooks? That’s 10 API integrations. 10 different response formats. 10 sets of rate limits to manage.

Here’s what that actually looks like:

The Old Way The OddsPapi Way
10 separate API keys 1 API key
10 different auth methods Query parameter auth
10 response formats to parse Unified JSON format
Limited to soft books 350+ books including sharps
No historical data Free historical odds

OddsPapi aggregates 350+ sportsbooks into a single endpoint. One request, unified format, every bookmaker that matters.

What Makes a Good Sportsbook API

Before you commit to any odds API, ask these questions:

How many bookmakers?

Most “odds APIs” give you 30-50 soft books. That’s useless for serious line shopping or arbitrage detection. You need coverage across the entire market—sharps, softs, exchanges, and regional books.

Which bookmakers?

Having 40 books means nothing if they’re all the same soft US books moving in lockstep. You need sharp bookmakers—Pinnacle, Singbet, SBOBet—to identify true market prices. These are the books that set the lines everyone else follows.

Real-time or delayed?

Polling an API every 60 seconds is fine for casual research. For arb detection or trading, you need WebSocket support with sub-second updates.

Market depth?

Can you access moneylines only, or full market coverage? Asian handicaps, player props, and live markets require native handling—not force-fitting them into a generic schema.

Free tier?

If you can’t test before committing, that’s a red flag. Developers need a free tier to validate the API works for their use case.

Sportsbook API Coverage Comparison

Feature OddsPapi The Odds API OddsJam OpticOdds
Total Bookmakers 350+ 40 100 200
Pinnacle ✓ ✗ ✓ ✓
Singbet/Crown ✓ ✗ ✗ ✗
SBOBet ✓ ✗ ✗ ✓
US Books ✓ ✓ ✓ ✓
UK Books ✓ ✓ ✓ ✓
Brazil ✓ ✗ ✗ Limited
Free Tier ✓ ✓ ✗ ✗
Free Historical Data ✓ ✗ ✗ ✗
WebSocket Support ✓ ✗ ✓ ✓

The key differentiator: OddsPapi covers the sharp bookmakers that most APIs ignore. Pinnacle, Singbet, and SBOBet aren’t just additional coverage—they’re the books that set true market prices.

Sportsbook Categories Covered

Sharp Bookmakers

The books that move first and take the biggest bets. If you’re doing CLV analysis or market modeling, these are the only prices that matter.

  • Pinnacle – Global sharp, the benchmark for fair odds
  • Singbet (Crown) – Asian sharp, VIP-level limits
  • SBOBet – Asian sharp, massive liquidity
  • Betcris – Latin America sharp

US Sportsbooks

The regulated US market. Soft books, but necessary for arb opportunities against sharps.

  • DraftKings
  • FanDuel
  • BetMGM
  • Caesars
  • BetRivers

UK & Europe

Major European soft books with deep soccer coverage.

  • Bet365
  • William Hill
  • Ladbrokes
  • Unibet
  • 888sport

Betting Exchanges

Back and lay odds, not fixed prices. Essential for matched betting and trading strategies.

  • Betfair Exchange
  • Matchbook

Brazil & Latin America

The fastest-growing betting market. Full coverage of Brazilian and LatAm books.

  • EstrelaBet
  • Betano
  • Sportingbet
  • Pixbet
  • KTO

Crypto & Offshore

High-limit books that accept crypto and don’t limit winners.

  • 1xBet
  • 22bet
  • Stake
  • Cloudbet

Python Tutorial: Get Odds from Multiple Sportsbooks

Here’s how to access odds from 350+ sportsbooks with a few lines of Python.

Step 1: Get Your Free API Key

Sign up at oddspapi.io to get your API key. The free tier includes 1,000 requests/month and access to historical data.

Step 2: List All Available Sportsbooks

import requests

API_KEY = "YOUR_API_KEY"
BASE_URL = "https://api.oddspapi.io/v4"

# Get all available bookmakers
response = requests.get(
    f"{BASE_URL}/bookmakers",
    params={"apiKey": API_KEY}
)

bookmakers = response.json()
print(f"Total sportsbooks available: {len(bookmakers)}")

# Show some examples
for book in bookmakers[:5]:
    print(f"  - {book['slug']}")

Output:

Total sportsbooks available: 346
  - 188bet
  - 1xbet
  - 22bet
  - bet365
  - draftkings

Step 3: Get Upcoming Fixtures

from datetime import datetime, timedelta, timezone

# Get NBA fixtures for the next 2 days
now = datetime.now(timezone.utc)

fixtures = requests.get(
    f"{BASE_URL}/fixtures",
    params={
        "apiKey": API_KEY,
        "sportId": 11,  # Basketball
        "from": now.strftime("%Y-%m-%dT%H:%M:%SZ"),
        "to": (now + timedelta(days=2)).strftime("%Y-%m-%dT%H:%M:%SZ")
    }
)

data = fixtures.json()
print(f"Found {len(data)} fixtures")

# Get first fixture with odds
fixture = next(f for f in data if f.get("hasOdds"))
print(f"\n{fixture['participant1Name']} vs {fixture['participant2Name']}")
print(f"Fixture ID: {fixture['fixtureId']}")

Step 4: Compare Odds Across Sportsbooks

This is where OddsPapi shines. One request returns odds from every bookmaker covering the fixture.

fixture_id = "id1100013262924433"  # Example NBA fixture

# Get odds from all bookmakers
odds = requests.get(
    f"{BASE_URL}/odds",
    params={
        "apiKey": API_KEY,
        "fixtureId": fixture_id
    }
)

data = odds.json()
bookmaker_odds = data.get("bookmakerOdds", {})

print(f"Odds available from {len(bookmaker_odds)} sportsbooks\n")

# Compare moneyline across key books
market_id = "111"  # Basketball moneyline

print(f"{'Bookmaker':<15} {'Home':<10} {'Away':<10}")
print("-" * 35)

for book in ["pinnacle", "draftkings", "fanduel", "1xbet"]:
    if book in bookmaker_odds:
        markets = bookmaker_odds[book].get("markets", {})
        if market_id in markets:
            outcomes = markets[market_id]["outcomes"]
            home = outcomes.get("111", {}).get("players", {}).get("0", {}).get("price", "-")
            away = outcomes.get("112", {}).get("players", {}).get("0", {}).get("price", "-")
            print(f"{book:<15} {home:<10} {away:<10}")

Output:

Odds available from 119 sportsbooks

Bookmaker       Home       Away
-----------------------------------
pinnacle        1.202      5
draftkings      1.2        4.8
fanduel         1.2        4.85
1xbet           1.21       4.94

Notice how the soft books (DraftKings, FanDuel) offer slightly worse odds than Pinnacle. This is exactly the kind of edge you can only spot when you have sharp and soft books side by side.

Use Cases for Sportsbook API

Line Shopping

Find the best price across 350+ books before placing a bet. Even a 0.05 difference in odds compounds over thousands of bets.

Arbitrage Detection

Compare sharp book prices against soft books. When soft books are slow to move, arb opportunities appear.

CLV Analysis (Closing Line Value)

Track how lines move from open to close. Compare your bet prices against Pinnacle closing lines to measure your edge.

Market Modeling

Build consensus odds models using data from multiple books. Weight sharp books higher for more accurate probabilities.

Odds Comparison Sites

Power a comparison tool with real-time data from every major sportsbook. One API call, complete market coverage.

Trading Bots

Automated systems need low-latency data from multiple sources. OddsPapi’s WebSocket feed delivers sub-second updates.

Stop Integrating 10 APIs. Use One.

Every hour you spend writing parsers for individual sportsbook APIs is an hour you’re not building your actual product.

OddsPapi gives you:

  • 350+ sportsbooks through a single endpoint
  • Sharp bookmakers that other APIs ignore (Pinnacle, Singbet, SBOBet)
  • Free historical data for backtesting models
  • WebSocket support for real-time applications
  • Unified JSON format across all books

Get your free OddsPapi API key and start building.