{"id":3731,"date":"2026-09-06T10:00:00","date_gmt":"2026-09-06T10:00:00","guid":{"rendered":"https:\/\/oddspapi.io\/blog\/?p=3731"},"modified":"2026-08-29T14:58:02","modified_gmt":"2026-08-29T14:58:02","slug":"bwin-api-odds-access","status":"publish","type":"post","link":"https:\/\/oddspapi.io\/blog\/bwin-api-odds-access\/","title":{"rendered":"Bwin API: One Brand, 7 Feeds, 7 Different Prices"},"content":{"rendered":"

There is no public Bwin API. Bwin runs a sportsbook, not a data business, and the only official way in is an Entain commercial agreement. So developers scrape sports.bwin.com<\/code>, hit Cloudflare, and rebuild the parser every time the front end ships.<\/p>\n

The workaround most people reach for is an aggregator with a bwin<\/code> slug in its bookmaker list. That works. It also hides something that costs money: Bwin is not one price feed. It is seven.<\/strong> On a Ligue 1 fixture on 28 August 2026, bwin.de<\/code> quoted a 4.80% margin and bwin.fr<\/code> quoted 14.45% on the same event, at the same second, under the same brand.<\/p>\n

This guide pulls all seven Bwin feeds through the OddsPapi API in Python, shows which ones are real prices and which one is a parked board, and gives you the two flags that tell them apart.<\/p>\n

The Seven Bwin Feeds<\/h2>\n

Query the bookmaker catalogue and the family shows up in full. Every slug reports liveOdds: true<\/code>.<\/p>\n

import requests\n\nAPI_KEY = \"YOUR_API_KEY\"\nBASE_URL = \"https:\/\/api.oddspapi.io\/v4\"\n\ncatalog = requests.get(\n    f\"{BASE_URL}\/bookmakers\", params={\"apiKey\": API_KEY}\n).json()\n\nfamily = [b for b in catalog if b[\"slug\"].startswith(\"bwin\")]\nfor b in sorted(family, key=lambda x: x[\"slug\"]):\n    print(f\"{b['slug']:10s} {b['bookmakerName']:12s} liveOdds={b['liveOdds']}\")<\/code><\/pre>\n
bwin       Bwin         liveOdds=True\nbwin.be    Bwin BE      liveOdds=True\nbwin.de    Bwin DE      liveOdds=True\nbwin.dk    Bwin DK      liveOdds=True\nbwin.es    Bwin ES      liveOdds=True\nbwin.fr    Bwin FR      liveOdds=True\nbwin.pt    Bwin PT      liveOdds=True<\/code><\/pre>\n
These are the licensed regional skins: Belgium, Germany, Denmark, Spain, France and Portugal, plus the international bwin<\/code> book. They share a platform. The fixturePath<\/code> field in the odds payload proves it, because all six regional deep links carry the identical Bwin event ID 2:7847152<\/code> on different hostnames.<\/p>\n
\n\n\n\n\n\n\n\n\n\n
Slug<\/th>\nDeep link on the same fixture<\/th>\n<\/tr>\n<\/thead>\n
bwin<\/code><\/td>\nsports.bwin.com\/en\/sports\/events\/2:7847152<\/td>\n<\/tr>\n
bwin.de<\/code><\/td>\nsports.bwin.de\/en\/sports\/events\/2:7847152<\/td>\n<\/tr>\n
bwin.dk<\/code><\/td>\nsports.bwin.dk\/en\/sports\/events\/2:7847152<\/td>\n<\/tr>\n
bwin.es<\/code><\/td>\nsports.bwin.es\/en\/sports\/events\/2:7847152<\/td>\n<\/tr>\n
bwin.fr<\/code><\/td>\nsports.bwin.fr\/en\/sports\/events\/2:7847152<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/figure>\n
One platform, one event, six URLs. The prices behind them do not match.<\/p>\n
Old Way vs OddsPapi<\/h2>\n
\n\n\n\n\n\n\n\n\n\n\n
Job<\/th>\nScraping Bwin<\/th>\nOddsPapi<\/th>\n<\/tr>\n<\/thead>\n
Get a price<\/td>\nHeadless browser per region, 6 sessions<\/td>\nOne GET, ?apiKey=<\/code><\/td>\n<\/tr>\n
Regional feeds<\/td>\n6 geo-fenced domains, VPN per country<\/td>\n7 slugs in one payload<\/td>\n<\/tr>\n
Detect a parked board<\/td>\nGuesswork<\/td>\nsuspended<\/code> + bookmakerIsActive<\/code><\/td>\n<\/tr>\n
Compare against the field<\/td>\nScrape everyone else too<\/td>\n350+ bookmakers, same call<\/td>\n<\/tr>\n
Price history<\/td>\nBuild your own recorder, wait weeks<\/td>\n\/historical-odds<\/code>, free tier<\/td>\n<\/tr>\n
Blocked by Cloudflare<\/td>\nConstantly<\/td>\nNever<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/figure>\n
Step 1: Authenticate and Find a Fixture<\/h2>\n
The API key goes in the query string. It is not a header, and sending it as one returns a 401.<\/p>\n
import requests, time\n\nAPI_KEY = \"YOUR_API_KEY\"\nBASE_URL = \"https:\/\/api.oddspapi.io\/v4\"\n\ndef get(path, **params):\n    r = requests.get(f\"{BASE_URL}{path}\", params={\"apiKey\": API_KEY, **params})\n    r.raise_for_status()\n    time.sleep(1.0)          # the free tier rate-limits per endpoint\n    return r.json()\n\n# Ligue 1 is tournamentId 34. Set `to` to the day AFTER the last day you want.\nfixtures = get(\"\/fixtures\", sportId=10, tournamentId=34,\n               **{\"from\": \"2026-08-28\", \"to\": \"2026-08-29\"})\n\nfor f in fixtures:\n    if f[\"hasOdds\"]:\n        print(f[\"fixtureId\"], f[\"startTime\"], f[\"participant1Name\"], \"v\", f[\"participant2Name\"])<\/code><\/pre>\n
id1000003472036132 2026-08-28T18:45:00.000Z Lille OSC v Paris Saint-Germain<\/code><\/pre>\n
Two things about that date window. The to<\/code> parameter is a midnight-UTC instant rather than a whole day, so a same-day query returns almost nothing. And an empty window returns HTTP 404 with a FIXTURE_NOT_FOUND<\/code> body, which will kill a loop that calls raise_for_status()<\/code> on every window.<\/p>\n
Step 2: Pull All Seven Feeds At Once<\/h2>\n
Pass the whole family to the bookmakers<\/code> filter. Prices for game lines live under players[\"0\"]<\/code>, and the active<\/code> flag sits on that price object rather than on the outcome above it.<\/p>\n
FIXTURE = \"id1000003472036132\"          # Lille OSC v Paris Saint-Germain\nBWIN = [\"bwin\", \"bwin.be\", \"bwin.de\", \"bwin.dk\", \"bwin.es\", \"bwin.fr\", \"bwin.pt\"]\n\nr = requests.get(f\"{BASE_URL}\/odds\",\n                 params={\"apiKey\": API_KEY, \"fixtureId\": FIXTURE,\n                         \"bookmakers\": \",\".join(BWIN)})\nr.raise_for_status()\nbooks = r.json()[\"bookmakerOdds\"]\n\ndef quote(book, market_id=\"101\"):\n    \"\"\"Return {outcomeId: price} for the active prices only.\"\"\"\n    market = book.get(\"markets\", {}).get(market_id)\n    if not market:\n        return {}\n    out = {}\n    for outcome_id, outcome in market[\"outcomes\"].items():\n        price = outcome[\"players\"].get(\"0\")        # game lines live under \"0\"\n        if price and price.get(\"active\"):\n            out[outcome_id] = price[\"price\"]\n    return out\n\nprint(f\"{'slug':10s} {'susp':>5s} {'bkActive':>8s} {'home':>6s} {'draw':>6s} {'away':>6s} {'margin':>7s}\")\nfor slug in BWIN:\n    book = books.get(slug)\n    if not book:\n        print(f\"{slug:10s} not priced on this fixture\")\n        continue\n    q = quote(book)\n    if len(q) < 3:\n        print(f\"{slug:10s} incomplete 1X2 ({len(q)} of 3 active)\")\n        continue\n    margin = sum(1 \/ p for p in q.values()) - 1\n    print(f\"{slug:10s} {str(book['suspended']):>5s} {str(book['bookmakerIsActive']):>8s} \"\n          f\"{q['101']:>6} {q['102']:>6} {q['103']:>6} {margin * 100:6.2f}%\")<\/code><\/pre>\n
slug        susp bkActive   home   draw   away  margin\nbwin       False     True    4.8   3.75   1.71   5.98%\nbwin.be    not priced on this fixture\nbwin.de    False     True    5.0    3.8   1.71   4.80%\nbwin.dk    False     True    4.8   3.75   1.71   5.98%\nbwin.es    False     True    4.8   3.75   1.71   5.98%\nbwin.fr     True    False    3.9    3.5   1.66  14.45%\nbwin.pt    not priced on this fixture<\/code><\/pre>\n
Twenty-five lines of Python, and the whole problem is on screen. Three feeds agree exactly. One feed is 1.2 points better on the home side. One feed is a wreck, and it is the one licensed in the country the match is played in.<\/p>\n
The bwin.fr Problem<\/h2>\n
bwin.fr<\/code> priced Lille at 3.9 while bwin.de<\/code> paid 5.0. That is 28% more on the same bet from the same company. Across the 182 books returning a complete active 1X2 on this fixture, bwin.fr<\/code> ranked 182nd<\/strong>. Dead last, behind every offshore book on the board.<\/p>\n
The payload flags it twice. The book-level suspended<\/code> field reads true<\/code> and bookmakerIsActive<\/code> reads false<\/code>, while every individual price underneath still reports active: true<\/code>. A parser that checks only the price-level flag takes the number.<\/p>\n
Price history settles what it is. The \/historical-odds<\/code> endpoint is on the free tier and takes a maximum of three bookmakers per call, which fits this comparison exactly.<\/p>\n
r = requests.get(f\"{BASE_URL}\/historical-odds\",\n                 params={\"apiKey\": API_KEY, \"fixtureId\": FIXTURE,\n                         \"bookmakers\": \"bwin,bwin.de,bwin.fr\"})\nr.raise_for_status()\n\nfor slug, book in r.json()[\"bookmakers\"].items():\n    # players[\"0\"] is a LIST here, not a dict. One entry per snapshot.\n    snaps = book[\"markets\"][\"101\"][\"outcomes\"][\"101\"][\"players\"][\"0\"]\n    prices = [s[\"price\"] for s in snaps]\n    changes = sum(1 for i in range(1, len(prices)) if prices[i] != prices[i - 1])\n    print(f\"{slug:8s} first seen {snaps[0]['createdAt'][:16]}  \"\n          f\"{len(snaps):3d} snapshots  {changes:2d} price changes  \"\n          f\"{prices[0]} -> {prices[-1]}\")<\/code><\/pre>\n
bwin     first seen 2026-08-24T11:05   40 snapshots  13 price changes  4.33 -> 4.8\nbwin.de  first seen 2026-08-24T11:24   11 snapshots   9 price changes  4.33 -> 5.0\nbwin.fr  first seen 2026-08-24T20:33    2 snapshots   0 price changes  3.9 -> 3.9<\/code><\/pre>\n
bwin<\/code> repriced 13 times in four days. bwin.de<\/code> repriced 9 times. bwin.fr<\/code> opened at 3.9 and never moved. That is a placeholder rather than a price, and the suspended<\/code> flag said so on the first call.<\/p>\n
Eight Leagues, One Brand, Different Answers<\/h2>\n
One fixture proves nothing. We pulled the full no-filter board on one fixture in each of eight European competitions on 28 August 2026, between 177 and 195 bookmakers per fixture, and ranked every Bwin feed against its own board.<\/p>\n
\n\n\n\n\n\n\n\n\n\n\n\n\n
Competition<\/th>\nBoard<\/th>\nbwin<\/code><\/th>\nbwin.de<\/code><\/th>\nbwin.dk<\/code><\/th>\nbwin.es<\/code><\/th>\nbwin.fr<\/code><\/th>\npinnacle<\/code><\/th>\n<\/tr>\n<\/thead>\n
Bundesliga<\/td>\n180<\/td>\n5.22%<\/td>\n4.27%<\/strong><\/td>\n5.22%<\/td>\n5.22%<\/td>\n12.92%<\/td>\n3.76%<\/td>\n<\/tr>\n
LaLiga<\/td>\n180<\/td>\n6.35%<\/td>\n5.13%<\/strong><\/td>\n6.35%<\/td>\n6.35%<\/td>\nabsent<\/td>\n2.81%<\/td>\n<\/tr>\n
Ligue 1<\/td>\n182<\/td>\n5.98%<\/td>\n4.80%<\/strong><\/td>\n5.98%<\/td>\n5.98%<\/td>\n14.45%<\/td>\n3.37%<\/td>\n<\/tr>\n
Liga Portugal<\/td>\n174<\/td>\n6.23%<\/td>\n6.23%<\/td>\n6.23%<\/td>\n6.23%<\/td>\n16.85%<\/td>\n3.84%<\/td>\n<\/tr>\n
Belgian Pro League<\/td>\n168<\/td>\n5.52%<\/td>\n5.52%<\/td>\n6.43%<\/td>\n5.52%<\/td>\n18.78%<\/td>\n3.82%<\/td>\n<\/tr>\n
Danish Superliga<\/td>\n172<\/td>\n6.88%<\/td>\n6.88%<\/td>\n5.53%<\/strong><\/td>\n6.88%<\/td>\nabsent<\/td>\n3.65%<\/td>\n<\/tr>\n
Premier League<\/td>\n185<\/td>\n5.56%<\/td>\n4.95%<\/strong><\/td>\n5.56%<\/td>\n4.95%<\/strong><\/td>\n14.40%<\/td>\n3.47%<\/td>\n<\/tr>\n
Serie A<\/td>\n180<\/td>\n5.77%<\/td>\n5.08%<\/strong><\/td>\n5.77%<\/td>\n5.77%<\/td>\n13.94%<\/td>\n3.54%<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/figure>\n
Three patterns hold across all eight boards.<\/p>\n
bwin.de<\/code> is the sharpest Bwin feed on six of eight competitions.<\/strong> It beats the international bwin<\/code> slug by 0.5 to 1.2 percentage points, and it does that on English, French, Italian and Spanish football as well as on its own Bundesliga. If you query one Bwin slug, query that one.<\/p>\n
The Danish feed sharpens at home.<\/strong> On the Superliga, bwin.dk<\/code> quoted 4.4 \/ 4.0 \/ 1.73 against 4.33 \/ 3.9 \/ 1.72 from its siblings. Better on all three outcomes, 5.53% against 6.88%, and it jumped from mid-board to 30th of 172. Local licensing buys local attention on that one league and nowhere else.<\/p>\n
bwin.fr<\/code> is parked everywhere, not just in France.<\/strong> It appeared on six of the eight fixtures, carried suspended: true<\/code> on all six, and finished bottom-three of its board on all six. It ranged from 12.92% to 18.78%. There is no fixture in this sample where the French feed is worth reading.<\/p>\n
bwin.be<\/code> and bwin.pt<\/code> turned up on one fixture out of eight, both flagged suspended. The Portuguese feed did not price the Portuguese league. Both carry liveOdds: true<\/code> in the catalogue, so the catalogue flag says nothing about which fixtures a feed will price.<\/p>\n
The Bigger Trap: bwin Is Also BetMGM<\/h2>\n
Say you skip the regional feeds and query plain bwin<\/code> alongside a few other books to build a consensus. On the Lille fixture that consensus contains this:<\/p>\n
from collections import defaultdict\n\nbooks = requests.get(f\"{BASE_URL}\/odds\",\n                     params={\"apiKey\": API_KEY, \"fixtureId\": FIXTURE}\n                     ).json()[\"bookmakerOdds\"]\n\ngroups = defaultdict(list)\nfor slug, book in books.items():\n    if book[\"suspended\"] or not book[\"bookmakerIsActive\"]:\n        continue                                   # parked board, skip it\n    market = book.get(\"markets\", {}).get(\"101\")\n    if not market:\n        continue\n    prices = {}\n    for outcome_id, outcome in market[\"outcomes\"].items():\n        p = outcome[\"players\"].get(\"0\")\n        if p and p.get(\"active\"):\n            prices[outcome_id] = p[\"price\"]\n    if len(prices) == 3:\n        key = (prices[\"101\"], prices[\"102\"], prices[\"103\"])\n        groups[key].append(slug)\n\nquotes = sum(len(v) for v in groups.values())\nprint(f\"{quotes} usable quotes -> {len(groups)} independent prices \"\n      f\"({(1 - len(groups) \/ quotes) * 100:.1f}% collapse)\")\n\nfor key, slugs in sorted(groups.items(), key=lambda kv: -len(kv[1]))[:3]:\n    print(f\"  {len(slugs):2d} slugs share {key}: {', '.join(sorted(slugs))}\")<\/code><\/pre>\n
171 usable quotes -> 108 independent prices (36.8% collapse)\n  14 slugs share (4.75, 3.8, 1.67): ballybet, betparx, betrivers, bingoal.be, casumo, expekt.se, fourwinds, paf, paf.es, prolineplus, unibet, unibet.be, unibet.dk, unibet.ie\n   9 slugs share (4.8, 3.75, 1.71): betboo.bet.br, betmgm, borgata, bwin, bwin.dk, bwin.es, oddset, partypoker, sportingbet\n   7 slugs share (4.8, 3.75, 1.65): 888sport, 888sport.de, 888sport.dk, 888sport.es, 888sport.ro, mrgreen, mrgreen.dk<\/code><\/pre>\n
The second group is the Entain book. bwin<\/code>, bwin.dk<\/code>, bwin.es<\/code>, betmgm<\/code>, borgata<\/code>, oddset<\/code>, partypoker<\/code>, sportingbet<\/code> and betboo.bet.br<\/code> shipped byte-identical prices. Nine slugs, one number. Adding BetMGM to a consensus that already has Bwin adds nothing and doubles that price’s weight.<\/p>\n
Note the collapse rate. Across the whole 191-book board, 171 usable quotes reduce to 108 independent prices. Every one of those slugs reports cloneOf: null<\/code>, so the catalogue flag will not find the duplicates for you. Dedupe on the price tuple, per fixture. Our study of how many bookmakers a backtest needs<\/a> works through what that does to a closing line.<\/p>\n
Betway and Betsson Behave Differently<\/h2>\n
Bwin is not the only brand shipping regional skins, and the pattern is not the same for each one.<\/p>\n
\n\n\n\n\n\n\n\n
Brand<\/th>\nSlugs<\/th>\nMargin range across 8 boards<\/th>\nBehaviour<\/th>\n<\/tr>\n<\/thead>\n
Bwin<\/td>\n7<\/td>\n4.27% \u2013 18.78%<\/td>\nRegional feeds priced independently; one is parked<\/td>\n<\/tr>\n
Betway<\/td>\nbetway<\/code>, betway.de<\/code>, betway.es<\/code><\/td>\n7.62% \u2013 15.89%<\/td>\nIdentical on six of eight; bottom-three of the board on five<\/td>\n<\/tr>\n
Betsson<\/td>\nbetsson<\/code>, betsson.it<\/code><\/td>\n5.55% \u2013 8.62%<\/td>\nOne live feed; betsson.it<\/code> never appeared<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/figure>\n
Betway is the widest major brand in this sample. Its three slugs quoted the same numbers on six of the eight fixtures. They finished 178th, 179th and 180th of 180 on the Bundesliga, and 183rd to 185th of 185 on the Premier League. The Danish Superliga is the one exception, where Betway tightened to 7.62% and the Spanish skin broke away with its own price. Treat the three Betway slugs as one book unless a per-fixture dedupe says otherwise.<\/p>\n
Betsson runs a single live feed and a wide menu. On the Lille fixture it shipped 229 markets<\/strong>, more than Bet365’s 214 and Pinnacle’s 109. Its betsson.it<\/code> slug is in the catalogue and did not price any of the eight fixtures.<\/p>\n
Menu width and price quality do not move together anywhere in this data. On that same fixture bwin<\/code> carried 129 markets, bwin.dk<\/code> and bwin.es<\/code> 126 each, betway<\/code> 96, and the sharpest feed of the family, bwin.de<\/code>, carried the second-narrowest at 66. The parked bwin.fr<\/code> still listed 52.<\/p>\n
Three Ways the bookmakers Filter Fails<\/h2>\n
The bookmakers<\/code> parameter returns three different results and only one of them is an error you would guess.<\/p>\n
\n\n\n\n\n\n\n\n
You send<\/th>\nYou get<\/th>\nMeaning<\/th>\n<\/tr>\n<\/thead>\n
A slug that does not exist<\/td>\n400 INVALID_PARAMETER<\/code><\/td>\nTypo. The error body lists every valid slug.<\/td>\n<\/tr>\n
A slug your key cannot read<\/td>\n403 RESTRICTED_ACCESS<\/code><\/td>\nPlan limit, not a coverage gap.<\/td>\n<\/tr>\n
A valid slug not on that fixture<\/td>\n200<\/code>, slug simply missing<\/td>\nGenuinely unpriced. Check with .get()<\/code>.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/figure>\n
The 400 is the useful one. Its details<\/code> string enumerates the entire valid slug list, which makes it a free catalogue lookup when you are guessing at a brand’s naming. bwin,ggbet<\/code> returns it, because there is no ggbet<\/code> slug. bwin,bwin.pt<\/code> returns 200 with only bwin<\/code> in the payload, because the Portuguese feed exists and did not price that match.<\/p>\n
What Bwin Costs You Against the Field<\/h2>\n
Once the seven feeds are in one payload, the rest of the board is one parameter away. Drop the bookmakers<\/code> filter and the same call returns every book pricing the fixture. On Lille v PSG that was 191 bookmakers.<\/p>\n
\n\n\n\n\n\n\n\n
Outcome<\/th>\nbwin<\/code><\/th>\nbwin.de<\/code><\/th>\nbwin.fr<\/code><\/th>\nBest on the board<\/th>\nGain vs bwin<\/code><\/th>\n<\/tr>\n<\/thead>\n
Lille<\/td>\n4.8<\/td>\n5.0<\/td>\n3.9<\/td>\n5.6 (betfair-ex<\/code>)<\/td>\n+16.67%<\/td>\n<\/tr>\n
Draw<\/td>\n3.75<\/td>\n3.8<\/td>\n3.5<\/td>\n4.5 (bet3000<\/code>)<\/td>\n+20.00%<\/td>\n<\/tr>\n
PSG<\/td>\n1.71<\/td>\n1.71<\/td>\n1.66<\/td>\n1.761 (limitless-ex<\/code>)<\/td>\n+2.98%<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/figure>\n
Pinnacle closed this market at 3.37%, 23rd of 182. Every Bwin feed sat behind it. That is the normal shape: the sharp sets the fair number and the retail brands price around it. Read our consensus odds guide<\/a> for turning that board into a fair probability, and the vig calculator<\/a> for the margin arithmetic used throughout this post.<\/p>\n
Coverage Outside Football<\/h2>\n
Bwin prices more than soccer, and the regional set narrows when it does. Sampling the deepest of six fixtures per sport on 28 August 2026:<\/p>\n
\n\n\n\n\n\n\n\n\n\n
Sport<\/th>\nBoard on sampled fixture<\/th>\nBwin family present<\/th>\n<\/tr>\n<\/thead>\n
Tennis<\/td>\n108 books<\/td>\nbwin<\/code>, bwin.dk<\/code>, bwin.es<\/code><\/td>\n<\/tr>\n
American Football<\/td>\n159 books<\/td>\nbwin<\/code>, bwin.dk<\/code>, bwin.es<\/code><\/td>\n<\/tr>\n
Basketball<\/td>\n139 books<\/td>\nbwin<\/code>, bwin.dk<\/code>, bwin.es<\/code><\/td>\n<\/tr>\n
Ice Hockey<\/td>\n66 books<\/td>\nbwin<\/code>, bwin.dk<\/code><\/td>\n<\/tr>\n
Baseball<\/td>\n102 books<\/td>\nbwin<\/code>, bwin.de<\/code>, bwin.dk<\/code><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/figure>\n
The seven-slug spread is a football phenomenon. Outside it, plan for the core three and check per fixture.<\/p>\n
A Working Checklist<\/h2>\n
    \n
  1. Request the whole family, not the single bwin<\/code> slug.<\/li>\n
  2. Drop any book where suspended<\/code> is true or bookmakerIsActive<\/code> is false, before you look at prices.<\/li>\n
  3. Check active<\/code> on the price object at players[\"0\"]<\/code>, because the outcome above it has no such field.<\/li>\n
  4. Dedupe on the price tuple per fixture. cloneOf<\/code> will not do it for you.<\/li>\n
  5. Prefer bwin.de<\/code> when you want one Bwin number.<\/li>\n
  6. Treat bwin<\/code> and betmgm<\/code> as the same feed until a fixture proves otherwise.<\/li>\n<\/ol>\n
    FAQ<\/h2>\n
    Does Bwin have an official API?<\/h3>\n
    No public one. Entain licenses data commercially, and there is no self-serve developer portal or documented endpoint. OddsPapi carries all seven Bwin feeds through one REST call with a query-parameter key.<\/p>\n
    Which Bwin slug should I use?<\/h3>\n
    Use bwin.de<\/code>. It posted the tightest margin of the family on six of the eight competitions measured, including English, French, Italian and Spanish football. Use bwin.dk<\/code> as well if you cover the Danish Superliga, where it sharpens to 5.53%.<\/p>\n
    Why does bwin.fr quote such bad odds?<\/h3>\n
    It is a parked board rather than a traded one. Over four days it logged 2 snapshots and 0 price changes while bwin<\/code> repriced 13 times. The payload flags it with suspended: true<\/code> and bookmakerIsActive: false<\/code>, so you can filter it out before it reaches your model.<\/p>\n
    Are bwin and BetMGM really the same price?<\/h3>\n
    On the fixture measured here, yes. bwin<\/code>, bwin.dk<\/code>, bwin.es<\/code>, betmgm<\/code>, borgata<\/code>, oddset<\/code>, partypoker<\/code>, sportingbet<\/code> and betboo.bet.br<\/code> shipped byte-identical 1X2 prices. All nine report cloneOf: null<\/code>, so dedupe on the prices themselves, per fixture.<\/p>\n
    Can I get historical Bwin odds?<\/h3>\n
    Yes, on the free tier. \/historical-odds<\/code> returns the full snapshot history for a fixture, capped at three bookmakers per call. Note that players[\"0\"]<\/code> is a list there and a dict on the live endpoint.<\/p>\n
    Does Betway split into regional feeds the same way?<\/h3>\n
    Betway ships three slugs and they quoted identical prices on six of the eight fixtures. Bwin’s regional feeds are priced independently, and Betway’s mostly are not. The Danish Superliga was the one fixture where betway.es<\/code> broke away.<\/p>\n