rapidoddsapi

Official Python SDK for RapidOddsAPI. Bookmaker odds from 100+ books, live scores and player stats, over REST and WebSocket.

pip install rapidoddsapi

Requires Python 3.9 or newer. Get a key at rapidoddsapi.com; the free tier is 250 credits with no card.

Quickstart

from rapidoddsapi import RapidOddsAPI

client = RapidOddsAPI(api_key="oa_your_api_key_here")

odds = client.get_odds("AFL", ["head_to_head"], ["Sportsbet", "TAB", "Ladbrokes"])

for entry in odds["games"]:
    game = entry["game"]
    print(f"{game['away_team']} at {game['home_team']}")
    for book in entry["bookmakers"]:
        for market in book["markets"]:
            for outcome in market["outcomes"]:
                print(f"  {book['name']:<12} {outcome['name']:<20} {outcome['price']}")

Streaming

Odds are pushed to you the moment a scrape cycle finishes, so you are never polling and never working off a stale price. Included on Pro and Elite at no extra cost.

for update in client.stream_odds("AFL", ["head_to_head"], ["Sportsbet", "TAB"]):
    for entry in update["data"]["games"]:
        print(entry["game"]["home_team"], update["credits_charged"])

That is the whole thing. The connection is kept alive, and if it drops (laptop sleeps, network cuts out, server restarts) the client reconnects with backoff and replays your subscription automatically.

Live scores stream the same way:

for update in client.stream_results("AFL", status="live"):
    for entry in update["data"]["games"]:
        game, score = entry["game"], entry["score"]
        print(game["home_team"], score["home"]["points"],
              game["away_team"], score["away"]["points"])

Async is identical, with async for:

from rapidoddsapi import AsyncRapidOddsAPI

async with AsyncRapidOddsAPI(api_key="oa_your_api_key_here") as client:
    async for update in client.stream_odds("NBA", ["head_to_head"], ["Pinnacle"]):
        print(update["data"]["games"])

Tuning, if you need it:

client.stream_odds(
    "AFL", ["head_to_head"], ["Sportsbet"],
    reconnect=True,              # False to raise on the first drop
    max_reconnect_attempts=None, # consecutive failures before giving up
    initial_backoff=1.0,
    max_backoff=30.0,
)

Finding bets

find_arbitrage and find_value_bets work on a response you already have, so they cost no extra credits.

from rapidoddsapi import find_arbitrage, find_value_bets

odds = client.get_odds("MLB", ["head_to_head"],
                       ["Bet365", "Sportsbet", "TAB", "Pinnacle", "DraftKings"])

for arb in find_arbitrage(odds, stake=100):
    print(f"{arb['away_team']} at {arb['home_team']}  +{arb['profit_percent']:.2f}%")
    for leg in arb["legs"]:
        print(f"  {leg['team']} {leg['price']} @ {leg['bookmaker']}  stake ${leg['stake']}")

Toronto Blue Jays at Boston Red Sox  +4.85%
  Toronto Blue Jays 2.18 @ Bet365  stake $48.10
  Boston Red Sox 2.02 @ Sportsbet  stake $51.90

find_value_bets de-vigs a sharp book to get a fair price, then reports every book paying more than that.

for bet in find_value_bets(odds, sharp="Pinnacle", min_edge=1.0):
    print(f"+{bet['edge_percent']:.1f}%  {bet['selection']} {bet['price']} "
          f"@ {bet['bookmaker']}  (fair {bet['fair_price']:.2f})")

Which markets these work on

Two-way head to head markets, including the period variants (head_to_head_1st_half, _1st_5_innings, _1st_period, _1st_set) and soccer's draw_no_bet.

Anything else raises ValidationError. Totals, spreads, team totals, player props and three-way markets are coming in a later version.

find_arbitrage(odds, market="alternate_total_runs")
# ValidationError: 'alternate_total_runs' carries a line, so its outcomes have
# to be grouped by point before they can be paired.

Both helpers match games across bookmakers on team names plus a time window, so books listing slightly different start times still line up.

Methods

Method	Returns	Credits
get_odds(sport, market_types, bookmakers)	OddsResponse	market_types x ceil(bookmakers / 5)
get_results(sport, status=, include=, game_id=, round_number=, days=)	ResultsResponse	1
list_sports(markets=)	list[SportInfo]	0
get_sport(sport, markets=)	SportInfo	0
list_results_sports()	list[SportInfo]	0
get_usage()	Usage	0
stream_odds(sport, market_types, bookmakers)	iterator of OddsUpdate	same as get_odds, per push
stream_results(sport, status=, include=, days=)	iterator of ResultsUpdate	1 per push
credits_used	int	—

Credits are only charged when games come back, so a query that matches nothing is free.

credits_used counts what this client has spent since you created it. It knows nothing about other processes or earlier runs. For the real balance, ask the server:

usage = client.get_usage()
print(f"{usage['credits_remaining']} of {usage['credits_limit']} left")

On the free tier usage["resets"] is False: those credits are a one off allowance, not a monthly one.

AsyncRapidOddsAPI has the same methods, awaited.

Helpers: find_arbitrage, find_value_bets, group_games, parse_time.

Sports

Pass the sport id as a string.

from rapidoddsapi import SPORTS, RESULTS_SPORTS

SPORTS
# ('NFL', 'NBA', 'WNBA', 'MLB', 'NHL', 'AFL', 'NRL', 'EPL', 'MLS',
#  'WORLD_CUP', 'MENS_AO', 'MENS_RG', 'MENS_WIMBLEDON', 'MENS_USO')

RESULTS_SPORTS
# ('AFL', 'MLB', 'WNBA', 'NRL')

Tennis reuses the team fields for player names, so home_team and away_team hold players on the four MENS_ ids. One slam is in season at a time.

Six more soccer leagues (La Liga, Serie A, Bundesliga, Ligue 1, Champions League, A-League) are accepted as ids but return no games yet. They are in UPCOMING_SPORTS rather than SPORTS.

Those tuples are a snapshot shipped with the package. To ask the API itself, which costs nothing:

client.list_sports()
# [{'id': 'NBA', 'name': 'NBA'}, {'id': 'AFL', 'name': 'AFL'}, ...]

Market keys vary by sport, and get_sport returns the ones a sport carries:

afl = client.get_sport("AFL")
afl["markets"]["game"]
# ['alternate_lines', 'alternate_total_points', 'head_to_head', ...]

client.get_odds("AFL", afl["markets"]["game"][:1], ["Sportsbet"])

The coverage page is the same information in a browser.

Bookmakers

Many brands share one odds feed and so quote identical prices. Requests name the feed, not the brand: "Ladbrokes" covers Neds, "Betmakers" covers the 26 brands running on it. Asking for a brand name returns nothing.

from rapidoddsapi import BOOKMAKERS, AU_BOOKMAKERS, US_BOOKMAKERS, EU_BOOKMAKERS

client.get_odds("AFL", ["head_to_head"], list(AU_BOOKMAKERS))

Every feed costs credits, so request the ones you need rather than all of them. Which feeds carry a given sport and market varies; the coverage page is the current picture.

Errors

from rapidoddsapi import (
    RapidOddsAPI, AuthenticationError, InsufficientCreditsError,
    RateLimitError, NotFoundError,
)

try:
    odds = client.get_odds("AFL", ["head_to_head"], ["Sportsbet"])
except InsufficientCreditsError as exc:
    print(f"Out of credits, {exc.credits_remaining} left")
except AuthenticationError:
    print("Bad key")

Exception	When
AuthenticationError	401, key missing or not recognised
SubscriptionError	403, subscription not active
NotFoundError	404, unknown sport
ValidationError	400 or 422, bad parameter
RateLimitError	429, over 30 requests per second
InsufficientCreditsError	429, out of credits. Carries credits_remaining
ServerError	5xx
NetworkError	timeout, DNS failure, connection reset
StreamAuthError	stream rejected: bad key, or plan without WebSocket
StreamError	stream failed for another reason

All inherit RapidOddsAPIError. The two 429s share a QuotaError parent, so you can catch either separately or both at once.

Requests are retried three times with backoff on 5xx, rate limits and network failures. Insufficient credits is never retried, since retrying cannot help.

Timestamps

Timestamps are naive UTC strings with no offset, like 2026-07-23T09:30:00. Anything that reads a missing offset as local time will be wrong, so use parse_time when you need a real datetime.

from rapidoddsapi import parse_time

start = parse_time(entry["game"]["commence_time"])  # aware, UTC

The odds and results APIs can disagree on a game's start time by several minutes, since one comes from bookmaker feeds and the other from the official league feed. Don't join them on an exact timestamp. group_games matches on teams plus a time window instead.

Settling from results

score.totals.full_time is None until a game is CONCLUDED, and each other named total is None until the periods it covers have finished. That is deliberate, so a live scoreline can never be mistaken for a final one. For a live running total, sum by_period.

totals = entry["score"]["totals"]

if totals["full_time"] is not None:
    settle(total_points=totals["full_time"]["points"])
else:
    running = sum(period["points"] for period in totals["by_period"])

Do not hardcode how many periods a half is: half_time waits for period 2 in a sport played in quarters but only period 1 in a sport played in halves, and MLB carries first_5_innings instead. Let the None tell you.

Use cases

• Arbitrage and positive EV scanners, using the helpers above
• Odds comparison screens and line-shopping tools
• Line movement tracking and alerting off the stream
• Automatic bet settlement from the results API
• Bonus bet conversions
• Model backtesting against live prices

Worked examples for each are in the guides.

Links

• rapidoddsapi.com
• API documentation
• Coverage: sports, bookmakers, market keys
• Guides
• support@rapidoddsapi.com

License

MIT