{"id":2867,"date":"2026-05-08T10:00:00","date_gmt":"2026-05-08T10:00:00","guid":{"rendered":"https:\/\/oddspapi.io\/blog\/?p=2867"},"modified":"2026-06-05T18:10:24","modified_gmt":"2026-06-05T18:10:24","slug":"mma-odds-api-ufc-moneylines","status":"publish","type":"post","link":"https:\/\/oddspapi.io\/blog\/mma-odds-api-ufc-moneylines\/","title":{"rendered":"MMA Odds API: Live UFC Moneylines from 46 Bookmakers (Free Tier)"},"content":{"rendered":"<p>Looking for a UFC odds API? There isn&#8217;t one. The UFC doesn&#8217;t expose betting data publicly, and most third-party odds APIs top out at 20\u201340 soft bookmakers with zero sharp coverage.<\/p>\n<p>OddsPapi covers MMA with <strong>46 bookmakers<\/strong> \u2014 including Pinnacle, Polymarket, crypto books like Stake and BC.Game, and US-regulated books like BetRivers and BetMGM. Free tier. No scraping. One API call.<\/p>\n<p>This guide walks you through pulling live UFC moneylines with Python, comparing prices across all 46 books, and spotting value against the Pinnacle sharp line.<\/p>\n<h2>Why Most Odds APIs Fall Short on MMA<\/h2>\n<p>MMA sits in an awkward spot. It&#8217;s too niche for the big enterprise feeds to prioritize, but too popular for developers to ignore. The result:<\/p>\n<ul>\n<li><strong>Scraping<\/strong> \u2014 fragile, rate-limited, legally grey. One DOM change breaks your pipeline.<\/li>\n<li><strong>Generic APIs<\/strong> \u2014 The Odds API covers ~40 bookmakers total, mostly US softs. No Pinnacle, no crypto, no Asian books.<\/li>\n<li><strong>Enterprise feeds<\/strong> \u2014 Sportradar\/Betgenius have MMA, but you&#8217;re looking at five-figure annual contracts.<\/li>\n<\/ul>\n<p>OddsPapi sits in the middle: 350+ bookmakers across 69 sports, including 46 that actively price UFC fights. Free tier with historical data included.<\/p>\n<figure class=\"wp-block-table\">\n<table>\n<thead>\n<tr>\n<th><\/th>\n<th>Scraping<\/th>\n<th>Generic API<\/th>\n<th>OddsPapi<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td><strong>MMA bookmakers<\/strong><\/td>\n<td>1 at a time<\/td>\n<td>10\u201315<\/td>\n<td><strong>46<\/strong><\/td>\n<\/tr>\n<tr>\n<td><strong>Sharps (Pinnacle)<\/strong><\/td>\n<td>No<\/td>\n<td>Sometimes<\/td>\n<td><strong>Yes<\/strong><\/td>\n<\/tr>\n<tr>\n<td><strong>Crypto books<\/strong><\/td>\n<td>Maybe<\/td>\n<td>No<\/td>\n<td><strong>Yes (Stake, BC.Game, Rollbit)<\/strong><\/td>\n<\/tr>\n<tr>\n<td><strong>Prediction markets<\/strong><\/td>\n<td>No<\/td>\n<td>No<\/td>\n<td><strong>Yes (Polymarket)<\/strong><\/td>\n<\/tr>\n<tr>\n<td><strong>Free tier<\/strong><\/td>\n<td>N\/A<\/td>\n<td>Limited<\/td>\n<td><strong>Yes + free historicals<\/strong><\/td>\n<\/tr>\n<tr>\n<td><strong>Real-time<\/strong><\/td>\n<td>Polling<\/td>\n<td>Polling<\/td>\n<td><strong>WebSockets available<\/strong><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/figure>\n<h2>Step 1: Get Your API Key<\/h2>\n<p>Sign up at <a href=\"https:\/\/oddspapi.io\">oddspapi.io<\/a> and grab your API key. The free tier is enough for everything in this tutorial.<\/p>\n<p>Authentication is a query parameter \u2014 no headers, no OAuth:<\/p>\n<pre class=\"wp-block-code\"><code>\nimport requests\n\nAPI_KEY = \"YOUR_API_KEY\"\nBASE_URL = \"https:\/\/api.oddspapi.io\/v4\"\n\n# Test your key\nr = requests.get(f\"{BASE_URL}\/sports\", params={\"apiKey\": API_KEY})\nprint(r.status_code)  # 200\n<\/code><\/pre>\n<h2>Step 2: Discover UFC Fixtures<\/h2>\n<p>MMA is <code>sportId=20<\/code> in the OddsPapi API. The <code>\/fixtures<\/code> endpoint returns upcoming bouts with participant names, card info, and whether odds are available.<\/p>\n<pre class=\"wp-block-code\"><code>\nimport requests\nfrom datetime import datetime, timedelta\n\nAPI_KEY = \"YOUR_API_KEY\"\nBASE_URL = \"https:\/\/api.oddspapi.io\/v4\"\n\n# Get MMA fixtures for the next 10 days\ntoday = datetime.utcnow().strftime(\"%Y-%m-%d\")\nend = (datetime.utcnow() + timedelta(days=10)).strftime(\"%Y-%m-%d\")\n\nr = requests.get(f\"{BASE_URL}\/fixtures\", params={\n    \"apiKey\": API_KEY,\n    \"sportId\": 20,\n    \"from\": today,\n    \"to\": end\n})\n\nfixtures = r.json()\n\nfor f in fixtures:\n    if f.get(\"hasOdds\"):\n        print(f\"{f['participant1Name']} vs {f['participant2Name']}\")\n        print(f\"  Card: {f['tournamentName']}\")\n        print(f\"  Starts: {f['startTime'][:16]}\")\n        print(f\"  Fixture ID: {f['fixtureId']}\")\n        print()\n<\/code><\/pre>\n<p><strong>Key terminology:<\/strong> OddsPapi uses &#8220;fixture&#8221; (not &#8220;game&#8221; or &#8220;fight&#8221;), &#8220;participant&#8221; (not &#8220;fighter&#8221; or &#8220;team&#8221;), and &#8220;tournament&#8221; (not &#8220;event&#8221; or &#8220;card&#8221;). The <code>categoryName<\/code> field tells you the promotion \u2014 &#8220;UFC&#8221;, &#8220;Bellator&#8221;, &#8220;PFL&#8221;, etc.<\/p>\n<p>Only fixtures with <code>hasOdds: true<\/code> will return pricing data. The rest are scheduled but not yet being priced by bookmakers.<\/p>\n<h2>Step 3: Pull Moneylines for a Fight<\/h2>\n<p>The <code>\/odds<\/code> endpoint returns live odds from every bookmaker pricing a fixture. For MMA, the moneyline (winner) market uses <strong>market ID 201<\/strong>.<\/p>\n<pre class=\"wp-block-code\"><code>\nimport requests\n\nAPI_KEY = \"YOUR_API_KEY\"\nBASE_URL = \"https:\/\/api.oddspapi.io\/v4\"\n\nfixture_id = \"YOUR_FIXTURE_ID\"  # From Step 2\n\nr = requests.get(f\"{BASE_URL}\/odds\", params={\n    \"apiKey\": API_KEY,\n    \"fixtureId\": fixture_id\n})\n\ndata = r.json()\nfighter1 = data[\"participant1Name\"]\nfighter2 = data[\"participant2Name\"]\n\n# Parse moneylines from each bookmaker\nfor slug, book_data in data[\"bookmakerOdds\"].items():\n    markets = book_data.get(\"markets\", {})\n\n    # Market 201 = Winner (moneyline)\n    if \"201\" not in markets:\n        continue\n\n    outcomes = markets[\"201\"].get(\"outcomes\", {})\n\n    # Fighter 1 price: outcome 201 in market 201\n    f1_price = None\n    if \"201\" in outcomes:\n        player = outcomes[\"201\"].get(\"players\", {}).get(\"0\", {})\n        f1_price = player.get(\"price\")\n\n    # Fighter 2 price: outcome 202 in market 201\n    # Some bookmakers put Fighter 2 in market 241 \/ outcome 242 instead\n    f2_price = None\n    if \"202\" in outcomes:\n        player = outcomes[\"202\"].get(\"players\", {}).get(\"0\", {})\n        f2_price = player.get(\"price\")\n    elif \"241\" in markets:\n        m241 = markets[\"241\"].get(\"outcomes\", {})\n        if \"242\" in m241:\n            player = m241[\"242\"].get(\"players\", {}).get(\"0\", {})\n            f2_price = player.get(\"price\")\n\n    if f1_price and f2_price:\n        print(f\"{slug:&lt;25} {fighter1}: {f1_price:&lt;8} {fighter2}: {f2_price}\")\n<\/code><\/pre>\n<p><strong>Watch out:<\/strong> Some bookmakers split the moneyline across two market IDs. Fighter 1 is always outcome 201 in market 201. Fighter 2 is <em>usually<\/em> outcome 202 in market 201, but about half the bookmakers put it in market 241 \/ outcome 242 instead. The code above handles both patterns.<\/p>\n<h2>Step 4: Build a Cross-Book Comparison<\/h2>\n<p>This is where it gets useful. Pull every bookmaker&#8217;s price, calculate the margin (overround), and find the best line for each fighter.<\/p>\n<pre class=\"wp-block-code\"><code>\nimport requests\n\nAPI_KEY = \"YOUR_API_KEY\"\nBASE_URL = \"https:\/\/api.oddspapi.io\/v4\"\n\nfixture_id = \"YOUR_FIXTURE_ID\"\n\nr = requests.get(f\"{BASE_URL}\/odds\", params={\n    \"apiKey\": API_KEY,\n    \"fixtureId\": fixture_id\n})\ndata = r.json()\n\nfighter1 = data[\"participant1Name\"]\nfighter2 = data[\"participant2Name\"]\n\nrows = []\nfor slug, book_data in data[\"bookmakerOdds\"].items():\n    markets = book_data.get(\"markets\", {})\n    if \"201\" not in markets:\n        continue\n\n    outcomes = markets[\"201\"].get(\"outcomes\", {})\n\n    f1 = outcomes.get(\"201\", {}).get(\"players\", {}).get(\"0\", {})\n    f1_price = f1.get(\"price\") if isinstance(f1, dict) else None\n\n    f2 = outcomes.get(\"202\", {}).get(\"players\", {}).get(\"0\", {})\n    f2_price = f2.get(\"price\") if isinstance(f2, dict) else None\n\n    # Check market 241 for Fighter 2 if not in 201\n    if not f2_price and \"241\" in markets:\n        f2_alt = markets[\"241\"].get(\"outcomes\", {}).get(\"242\", {})\n        f2_alt = f2_alt.get(\"players\", {}).get(\"0\", {})\n        f2_price = f2_alt.get(\"price\") if isinstance(f2_alt, dict) else None\n\n    if f1_price and f2_price:\n        margin = (1\/f1_price + 1\/f2_price - 1) * 100\n        rows.append({\n            \"book\": slug,\n            \"f1\": f1_price,\n            \"f2\": f2_price,\n            \"margin\": margin\n        })\n\n# Sort by tightest margin (best value)\nrows.sort(key=lambda x: x[\"margin\"])\n\nprint(f\"{'Bookmaker':&lt;25} {fighter1:&lt;12} {fighter2:&lt;12} {'Margin'}\")\nprint(\"-\" * 60)\nfor r in rows:\n    print(f\"{r['book']:&lt;25} {r['f1']:&lt;12} {r['f2']:&lt;12} {r['margin']:.1f}%\")\n\n# Best available prices\nbest_f1 = max(rows, key=lambda x: x[\"f1\"])\nbest_f2 = max(rows, key=lambda x: x[\"f2\"])\nprint(f\"\\nBest {fighter1}: {best_f1['f1']} @ {best_f1['book']}\")\nprint(f\"Best {fighter2}: {best_f2['f2']} @ {best_f2['book']}\")\n\n# Check for arb opportunity\ncombined = 1\/best_f1[\"f1\"] + 1\/best_f2[\"f2\"]\nif combined &lt; 1:\n    profit = (1\/combined - 1) * 100\n    print(f\"\\nARB DETECTED: {profit:.2f}% profit\")\n    print(f\"  Back {fighter1} @ {best_f1['f1']} ({best_f1['book']})\")\n    print(f\"  Back {fighter2} @ {best_f2['f2']} ({best_f2['book']})\")\nelse:\n    print(f\"\\nNo arb (combined implied prob: {combined:.3f})\")\n<\/code><\/pre>\n<h2>Step 5: Spot Value Against the Sharp Line<\/h2>\n<p>Pinnacle is the sharpest bookmaker in the world. Their odds reflect the true probability better than anyone else. If a soft bookmaker is offering better odds than Pinnacle on the same fighter, that&#8217;s a potential +EV bet.<\/p>\n<pre class=\"wp-block-code\"><code>\nimport requests\n\nAPI_KEY = \"YOUR_API_KEY\"\nBASE_URL = \"https:\/\/api.oddspapi.io\/v4\"\n\nfixture_id = \"YOUR_FIXTURE_ID\"\n\nr = requests.get(f\"{BASE_URL}\/odds\", params={\n    \"apiKey\": API_KEY,\n    \"fixtureId\": fixture_id\n})\ndata = r.json()\n\nfighter1 = data[\"participant1Name\"]\nfighter2 = data[\"participant2Name\"]\n\ndef get_moneyline(book_data):\n    \"\"\"Extract both fighter prices from a bookmaker.\"\"\"\n    markets = book_data.get(\"markets\", {})\n    if \"201\" not in markets:\n        return None, None\n    outcomes = markets[\"201\"].get(\"outcomes\", {})\n\n    f1 = outcomes.get(\"201\", {}).get(\"players\", {}).get(\"0\", {})\n    p1 = f1.get(\"price\") if isinstance(f1, dict) else None\n\n    f2 = outcomes.get(\"202\", {}).get(\"players\", {}).get(\"0\", {})\n    p2 = f2.get(\"price\") if isinstance(f2, dict) else None\n    if not p2 and \"241\" in markets:\n        f2_alt = markets[\"241\"].get(\"outcomes\", {}).get(\"242\", {})\n        f2_alt = f2_alt.get(\"players\", {}).get(\"0\", {})\n        p2 = f2_alt.get(\"price\") if isinstance(f2_alt, dict) else None\n\n    return p1, p2\n\nbooks = data[\"bookmakerOdds\"]\n\n# Get Pinnacle's line as the benchmark\nif \"pinnacle\" not in books:\n    print(\"Pinnacle not pricing this fixture\")\n    exit()\n\npin_f1, pin_f2 = get_moneyline(books[\"pinnacle\"])\nprint(f\"Pinnacle (sharp) line: {fighter1} {pin_f1} \/ {fighter2} {pin_f2}\")\nprint(f\"Pinnacle implied: {1\/pin_f1:.1%} \/ {1\/pin_f2:.1%}\\n\")\n\n# Find books offering better than Pinnacle\nprint(f\"Books beating Pinnacle on {fighter1} (>{pin_f1}):\")\nfor slug, bdata in books.items():\n    if slug == \"pinnacle\":\n        continue\n    p1, p2 = get_moneyline(bdata)\n    if p1 and p1 > pin_f1:\n        edge = (p1\/pin_f1 - 1) * 100\n        print(f\"  {slug:&lt;25} {p1:&lt;8} (+{edge:.1f}% edge)\")\n\nprint(f\"\\nBooks beating Pinnacle on {fighter2} (>{pin_f2}):\")\nfor slug, bdata in books.items():\n    if slug == \"pinnacle\":\n        continue\n    p1, p2 = get_moneyline(bdata)\n    if p2 and p2 > pin_f2:\n        edge = (p2\/pin_f2 - 1) * 100\n        print(f\"  {slug:&lt;25} {p2:&lt;8} (+{edge:.1f}% edge)\")\n<\/code><\/pre>\n<p>Any book offering odds above Pinnacle&#8217;s line is giving you a mathematical edge \u2014 assuming Pinnacle&#8217;s price reflects the true probability. This is the foundation of value betting, and OddsPapi makes it trivial to scan across 46 bookmakers in one call.<\/p>\n<h2>Step 6: Backtest with Historical Odds<\/h2>\n<p>OddsPapi includes free historical odds on every tier \u2014 no add-on fee. Use the <code>\/historical-odds<\/code> endpoint to see how a fighter&#8217;s price moved pre-fight.<\/p>\n<pre class=\"wp-block-code\"><code>\nimport requests\nimport time\n\nAPI_KEY = \"YOUR_API_KEY\"\nBASE_URL = \"https:\/\/api.oddspapi.io\/v4\"\n\nfixture_id = \"YOUR_FIXTURE_ID\"\n\n# Historical endpoint: max 3 bookmakers per call\nr = requests.get(f\"{BASE_URL}\/historical-odds\", params={\n    \"apiKey\": API_KEY,\n    \"fixtureId\": fixture_id,\n    \"bookmakers\": \"pinnacle,bet365,draftkings\"\n})\ndata = r.json()\n\n# historical-odds uses \"bookmakers\" (not \"bookmakerOdds\")\n# players[\"0\"] is a LIST of snapshots (not a single dict)\nfor slug, book_data in data.get(\"bookmakers\", {}).items():\n    markets = book_data.get(\"markets\", {})\n    if \"201\" not in markets:\n        continue\n\n    outcomes = markets[\"201\"].get(\"outcomes\", {})\n    if \"201\" in outcomes:\n        snapshots = outcomes[\"201\"][\"players\"][\"0\"]  # This is a list\n        print(f\"{slug} \u2014 Fighter 1 price history ({len(snapshots)} snapshots):\")\n        for snap in snapshots[-5:]:  # Last 5 movements\n            print(f\"  {snap['createdAt'][:16]}  {snap['price']}\")\n        print()\n<\/code><\/pre>\n<p><strong>Important:<\/strong> The historical endpoint has a different response shape than the live endpoint. The top-level key is <code>bookmakers<\/code> (not <code>bookmakerOdds<\/code>), and <code>players[\"0\"]<\/code> is a <strong>list<\/strong> of price snapshots, not a single dict. Max 3 bookmakers per call \u2014 loop with different combinations if you need more.<\/p>\n<h2>What Markets Are Available for MMA?<\/h2>\n<p>Most bookmakers price MMA with a single market: <strong>moneyline (Winner)<\/strong>. Unlike soccer or basketball, you won&#8217;t find hundreds of props across every book. Here&#8217;s what&#8217;s available:<\/p>\n<figure class=\"wp-block-table\">\n<table>\n<thead>\n<tr>\n<th>Market<\/th>\n<th>Market ID<\/th>\n<th>Outcome IDs<\/th>\n<th>Coverage<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td><strong>Winner (Moneyline)<\/strong><\/td>\n<td>201<\/td>\n<td>201 (Fighter 1), 202 (Fighter 2)<\/td>\n<td>All 46 bookmakers<\/td>\n<\/tr>\n<tr>\n<td><strong>Winner (alt)<\/strong><\/td>\n<td>241<\/td>\n<td>242 (Fighter 2)<\/td>\n<td>~25 bookmakers (supplements market 201)<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/figure>\n<p>Don&#8217;t hardcode market catalogs \u2014 use <code>\/v4\/markets?sportId=20<\/code> to pull the full list dynamically. As bookmakers add round props and method-of-victory markets, they&#8217;ll show up automatically.<\/p>\n<h2>Full Script: UFC Odds Scanner<\/h2>\n<p>Here&#8217;s the complete script that pulls every upcoming UFC fight and compares moneylines across all available bookmakers:<\/p>\n<pre class=\"wp-block-code\"><code>\nimport requests\nimport time\nfrom datetime import datetime, timedelta\n\nAPI_KEY = \"YOUR_API_KEY\"\nBASE_URL = \"https:\/\/api.oddspapi.io\/v4\"\n\ndef get_moneyline(book_data):\n    \"\"\"Extract fighter prices from a bookmaker.\"\"\"\n    markets = book_data.get(\"markets\", {})\n    if \"201\" not in markets:\n        return None, None\n    outcomes = markets[\"201\"].get(\"outcomes\", {})\n\n    f1 = outcomes.get(\"201\", {}).get(\"players\", {}).get(\"0\", {})\n    p1 = f1.get(\"price\") if isinstance(f1, dict) else None\n\n    f2 = outcomes.get(\"202\", {}).get(\"players\", {}).get(\"0\", {})\n    p2 = f2.get(\"price\") if isinstance(f2, dict) else None\n    if not p2 and \"241\" in markets:\n        f2_alt = markets[\"241\"].get(\"outcomes\", {}).get(\"242\", {})\n        f2_alt = f2_alt.get(\"players\", {}).get(\"0\", {})\n        p2 = f2_alt.get(\"price\") if isinstance(f2_alt, dict) else None\n\n    return p1, p2\n\n# 1. Get upcoming UFC fixtures\ntoday = datetime.utcnow().strftime(\"%Y-%m-%d\")\nend = (datetime.utcnow() + timedelta(days=10)).strftime(\"%Y-%m-%d\")\n\nr = requests.get(f\"{BASE_URL}\/fixtures\", params={\n    \"apiKey\": API_KEY, \"sportId\": 20, \"from\": today, \"to\": end\n})\nfixtures = [f for f in r.json() if f.get(\"hasOdds\")]\nprint(f\"Found {len(fixtures)} UFC fixtures with odds\\n\")\n\n# 2. Scan each fight\nfor fix in fixtures:\n    time.sleep(1)  # Respect rate limits\n\n    f1_name = fix[\"participant1Name\"]\n    f2_name = fix[\"participant2Name\"]\n    card = fix.get(\"tournamentName\", \"Unknown Card\")\n\n    r = requests.get(f\"{BASE_URL}\/odds\", params={\n        \"apiKey\": API_KEY, \"fixtureId\": fix[\"fixtureId\"]\n    })\n    odds = r.json()\n\n    rows = []\n    for slug, bdata in odds.get(\"bookmakerOdds\", {}).items():\n        p1, p2 = get_moneyline(bdata)\n        if p1 and p2:\n            rows.append({\"book\": slug, \"f1\": p1, \"f2\": p2})\n\n    if not rows:\n        continue\n\n    best_f1 = max(rows, key=lambda x: x[\"f1\"])\n    best_f2 = max(rows, key=lambda x: x[\"f2\"])\n    combined = 1\/best_f1[\"f1\"] + 1\/best_f2[\"f2\"]\n\n    print(f\"{f1_name} vs {f2_name} ({card})\")\n    print(f\"  {len(rows)} bookmakers | Best {f1_name}: {best_f1['f1']} @ {best_f1['book']}\")\n    print(f\"  Best {f2_name}: {best_f2['f2']} @ {best_f2['book']}\")\n\n    if combined &lt; 1:\n        profit = (1\/combined - 1) * 100\n        print(f\"  >>> ARB: {profit:.2f}% profit\")\n    print()\n<\/code><\/pre>\n<h2>What&#8217;s Next<\/h2>\n<p>You&#8217;ve got live moneylines from 46 bookmakers, cross-book comparison, and value detection against the Pinnacle sharp line. From here you can:<\/p>\n<ul>\n<li><strong>Build an arb scanner<\/strong> \u2014 automate the cross-book comparison and alert on profitable opportunities. See our <a href=\"https:\/\/oddspapi.io\/blog\/arbitrage-betting-bot-python\/\">arb bot tutorial<\/a>.<\/li>\n<li><strong>Track line movement<\/strong> \u2014 use the historical odds endpoint to chart how MMA lines move from open to close.<\/li>\n<li><strong>Add WebSocket feeds<\/strong> \u2014 get real-time odds pushes instead of polling. See our <a href=\"https:\/\/oddspapi.io\/blog\/websocket-odds-api-real-time-betting-data\/\">WebSocket guide<\/a>.<\/li>\n<li><strong>Backtest MMA models<\/strong> \u2014 historical data is free on every tier. See our <a href=\"https:\/\/oddspapi.io\/blog\/backtest-betting-model-free-historical-odds\/\">backtesting guide<\/a>.<\/li>\n<\/ul>\n<p><strong><a href=\"https:\/\/oddspapi.io\">Get your free API key<\/a><\/strong> and start pulling UFC odds in 5 minutes. No credit card. No scraping. 46 bookmakers in one call.<\/p>\n<p><!--\nFocus Keyphrase: mma odds api\nSEO Title: MMA Odds API: Live UFC Moneylines from 46 Bookmakers (Free Tier)\nMeta Description: Access live UFC and MMA odds from 46 bookmakers including Pinnacle and DraftKings. Free Python API with moneyline data. No scraping required.\nSlug: mma-odds-api-ufc-moneylines\n--><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Access live UFC and MMA odds from 46 bookmakers including Pinnacle and DraftKings. Free Python API with moneyline data. No scraping required.<\/p>\n","protected":false},"author":2,"featured_media":2869,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[7],"tags":[8,48,9,11,10,49],"class_list":["post-2867","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-how-to-guides","tag-free-api","tag-mma","tag-odds-api","tag-python","tag-sports-betting-api","tag-ufc"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.4 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>MMA Odds API: Live UFC Moneylines from 46 Bookmakers (Free Tier) | OddsPapi Blog<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/oddspapi.io\/blog\/mma-odds-api-ufc-moneylines\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"MMA Odds API: Live UFC Moneylines from 46 Bookmakers (Free Tier) | OddsPapi Blog\" \/>\n<meta property=\"og:description\" content=\"Access live UFC and MMA odds from 46 bookmakers including Pinnacle and DraftKings. 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