{"id":2964,"date":"2026-06-11T10:00:00","date_gmt":"2026-06-11T10:00:00","guid":{"rendered":"https:\/\/oddspapi.io\/blog\/?p=2964"},"modified":"2026-06-05T14:17:53","modified_gmt":"2026-06-05T14:17:53","slug":"databet-alternative","status":"publish","type":"post","link":"https:\/\/oddspapi.io\/blog\/databet-alternative\/","title":{"rendered":"Databet Alternative: Free Esports & Sports Odds API (No Sales Call)"},"content":{"rendered":"

You Searched “Databet API.” Here’s the Catch Nobody Mentions.<\/h2>\n

You’re building an esports betting tool, a price scanner, or a model, and you found Databet<\/strong> \u2014 a slick B2B data and sportsbook platform that powers a lot of operators behind the scenes. Then you hit the wall every solo dev hits: there’s no “Sign up, copy your API key, make a call” button. Databet sells platforms and managed feeds to operators<\/em>, not a self-serve API to developers. The funnel is a “Request a demo” form and a sales call.<\/p>\n

If you just want live esports odds in JSON<\/strong> \u2014 CS2, Dota 2, League of Legends, Valorant \u2014 without becoming a licensed sportsbook first, you’re in the wrong queue. This guide shows you the developer-friendly alternative: OddsPapi<\/strong>, with a free API key, 370 bookmakers<\/strong> (including sharps like Pinnacle and prediction markets like Polymarket and Kalshi), and tested Python you can run in the next five minutes.<\/p>\n

What Databet Actually Is<\/h2>\n

Databet is a B2B iGaming and esports technology company. Their core products are aimed at businesses launching or running a sportsbook<\/em>: turnkey\/white-label sportsbook software, managed trading and risk, and a data\/odds feed bundled into that stack. That’s a genuinely strong offering \u2014 if you are an operator<\/strong>.<\/p>\n

For a developer, scripter, or quant, three things make it a bad fit:<\/p>\n

\n\n\n\n\n\n\n\n
The Friction<\/th>\nWhat It Means For You<\/th>\n<\/tr>\n<\/thead>\n
No self-serve API key<\/td>\nYou can’t sign up and call an endpoint. You book a demo and talk to sales.<\/td>\n<\/tr>\n
Operator-grade contracts<\/td>\nPricing and terms are built for sportsbook businesses, not a side-project budget.<\/td>\n<\/tr>\n
Platform-first, feed-second<\/td>\nThe odds feed is part of a larger sportsbook stack. You want the data, not the casino.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/figure>\n

None of that is a knock on Databet. It’s just the wrong tool when all you need is a clean JSON odds endpoint you can hit from a Python script.<\/p>\n

The Alternative: OddsPapi (Built for Developers)<\/h2>\n

OddsPapi is the “third option” between enterprise feeds (Databet, Sportradar, Genius) that need a sales call and generic odds APIs that only carry ~40 soft books. You get an instant free key and a flat REST API. Here’s the live coverage as of this writing (queried straight from the API, not a brochure):<\/p>\n

\n\n\n\n\n\n\n\n\n\n\n\n\n
Metric<\/th>\nDatabet<\/th>\nOddsPapi<\/th>\n<\/tr>\n<\/thead>\n
Get an API key<\/td>\nSales call \/ demo request<\/td>\nInstant, self-serve<\/td>\n<\/tr>\n
Free tier<\/td>\nNo public free tier<\/td>\nYes (free key, real data)<\/td>\n<\/tr>\n
Bookmakers<\/td>\nOperator feed (managed)<\/td>\n370<\/strong> books, one endpoint<\/td>\n<\/tr>\n
Sharps included<\/td>\nOperator-dependent<\/td>\nPinnacle, Singbet, SBOBET<\/td>\n<\/tr>\n
Prediction markets<\/td>\n\u2014<\/td>\nPolymarket, Kalshi<\/td>\n<\/tr>\n
Sports covered<\/td>\nEsports + sports<\/td>\n69<\/strong> sports (CS2, Dota, LoL, Valorant + 65 more)<\/td>\n<\/tr>\n
Historical odds<\/td>\nEnterprise<\/td>\nFree on the free tier<\/td>\n<\/tr>\n
Real-time delivery<\/td>\nFeed integration<\/td>\nREST + WebSocket push<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/figure>\n

For esports specifically, here’s what the catalog returned for the next 7 days when this post was written (summer is the off-window between major splits, so depth climbs sharply during LCK\/Worlds\/Majors):<\/p>\n

\n\n\n\n\n\n\n\n
Title<\/th>\nsportId<\/th>\nFixtures (7d)<\/th>\nWith live odds<\/th>\n<\/tr>\n<\/thead>\n
CS2 \/ Counter-Strike<\/td>\n17<\/td>\n31<\/td>\n29<\/td>\n<\/tr>\n
League of Legends<\/td>\n18<\/td>\n24<\/td>\n21<\/td>\n<\/tr>\n
Dota 2<\/td>\n16<\/td>\n16<\/td>\n6<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/figure>\n

Tutorial: Pull Live Esports Odds in Python<\/h2>\n

Four steps: authenticate, discover the sport, fetch fixtures, parse odds. Every snippet below was run against the live API. Auth is a query parameter<\/strong> (?apiKey=<\/code>), never a header.<\/p>\n

Step 1 \u2014 Authenticate<\/h3>\n
import requests\n\nAPI_KEY = \"YOUR_API_KEY\"   # grab a free key at oddspapi.io\nBASE_URL = \"https:\/\/api.oddspapi.io\/v4\"\n\ndef get(path, **params):\n    params[\"apiKey\"] = API_KEY\n    r = requests.get(f\"{BASE_URL}{path}\", params=params)\n    r.raise_for_status()\n    return r.json()\n\n# Smoke test\nsports = get(\"\/sports\")\nprint(f\"{len(sports)} sports available\")   # -> 69 sports available\n<\/code><\/pre>\n
Step 2 \u2014 Find the Esport You Want<\/h3>\n
Esports live under their own sport IDs. No need to guess \u2014 filter the catalog:<\/p>\n
esports = [s for s in sports if \"esport\" in s[\"slug\"]]\nfor s in esports:\n    print(s[\"sportId\"], s[\"slug\"])\n\n# 16 esport-dota\n# 17 esport-counter-strike\n# 18 esport-league-of-legends\n# ...plus Valorant, King of Glory, Rainbow Six and more\n<\/code><\/pre>\n
Step 3 \u2014 Fetch CS2 Fixtures<\/h3>\n
The \/fixtures<\/code> endpoint takes a date range (max 10 days apart). Only fixtures with hasOdds: true<\/code> will return a price payload, so filter on it:<\/p>\n
from datetime import datetime, timezone, timedelta\n\ntoday = datetime.now(timezone.utc).date()\nfrm = today.isoformat()\nto = (today + timedelta(days=7)).isoformat()\n\nfixtures = get(\"\/fixtures\", sportId=17, **{\"from\": frm, \"to\": to})\nplayable = [f for f in fixtures if f[\"hasOdds\"]]\nprint(f\"{len(playable)} CS2 fixtures with live odds\")\n\nf = playable[0]\nprint(f[\"participant1Name\"], \"vs\", f[\"participant2Name\"], \"|\", f[\"tournamentName\"])\n# Lavked vs Mana eSports | European Pro League Series\n<\/code><\/pre>\n
Step 4 \u2014 Parse the Odds (the nested part)<\/h3>\n
The \/odds<\/code> response is deeply nested. The top key is bookmakerOdds<\/code>; the current price lives at players[\"0\"][\"price\"]<\/code>. Build a name lookup from \/markets<\/code> first so you get human-readable market and outcome names instead of integer IDs:<\/p>\n
# Build {marketId: name} and {(marketId, outcomeId): name} lookups\ncatalog = get(\"\/markets\", sportId=17)\nmarket_names = {m[\"marketId\"]: m[\"marketName\"] for m in catalog}\noutcome_names = {\n    (m[\"marketId\"], o[\"outcomeId\"]): o[\"outcomeName\"]\n    for m in catalog for o in m.get(\"outcomes\", [])\n}\n\nodds = get(\"\/odds\", fixtureId=f[\"fixtureId\"])\nbooks = odds[\"bookmakerOdds\"]\nprint(\"Books on this match:\", list(books))\n# ['bet365', 'kalshi', 'pinnacle', 'polymarket']\n\n# Match Winner = market 171 (\"Winner\")\nMARKET = \"171\"\nfor slug, data in books.items():\n    market = data[\"markets\"].get(MARKET)\n    if not market:\n        continue\n    row = {}\n    for oid, outcome in market[\"outcomes\"].items():\n        price = outcome[\"players\"][\"0\"][\"price\"]\n        row[outcome_names.get((int(MARKET), int(oid)), oid)] = price\n    print(f\"{slug:10} {row}\")\n<\/code><\/pre>\n
Live output for that exact CS2 match:<\/p>\n
pinnacle   {'1': 1.153, '2': 5.05}\nbet365     {'1': 1.25,  '2': 3.75}\npolymarket {'1': 1.0,   '2': 1.0}   # listed but inactive in off-window\nkalshi     {'1': 1.0,   '2': 1.0}   # listed but inactive in off-window\n<\/code><\/pre>\n
Two things to notice. First, you got a sharp price (Pinnacle 1.153 \/ 5.05)<\/strong> and a soft price (Bet365 1.25 \/ 3.75)<\/strong> on the same esports match \u2014 that’s the line-shop edge no single-book feed gives you. Second, prediction-market venues (Polymarket, Kalshi) appear in the catalog but show 1.0<\/code> placeholders here because they’re inactive outside major tournaments. Always check the price before trusting it \u2014 parse defensively, skip 1.0<\/code> \/ active: false<\/code> rows.<\/p>\n
Bonus \u2014 The Line-Shop Edge<\/h3>\n
On the underdog (Mana eSports), Pinnacle pays 5.05<\/strong> versus Bet365’s 3.75<\/strong> \u2014 a 35% better price for the exact same bet. Multiply that gap across hundreds of matches and 370 books and you have the entire premise of line shopping<\/a> and value scanning<\/a>. A single-operator feed like Databet’s can’t surface it, because it’s one book’s view of the world.<\/p>\n
# Best available price per outcome across every book\nbest = {}\nfor slug, data in books.items():\n    market = data[\"markets\"].get(\"171\")\n    if not market:\n        continue\n    for oid, outcome in market[\"outcomes\"].items():\n        price = outcome[\"players\"][\"0\"][\"price\"]\n        if price <= 1.0:          # skip inactive placeholders\n            continue\n        name = outcome_names.get((171, int(oid)), oid)\n        if price > best.get(name, (0, \"\"))[0]:\n            best[name] = (price, slug)\nprint(best)\n# {'1': (1.25, 'bet365'), '2': (5.05, 'pinnacle')}\n<\/code><\/pre>\n
When to Pick Databet vs OddsPapi<\/h2>\n
\n\n\n\n\n\n\n\n
Pick Databet if\u2026<\/th>\nPick OddsPapi if\u2026<\/th>\n<\/tr>\n<\/thead>\n
You’re launching or running a sportsbook and need a managed platform + trading + risk.<\/td>\nYou’re a developer who wants a JSON odds feed and a key today.<\/td>\n<\/tr>\n
You want a turnkey\/white-label operator stack.<\/td>\nYou’re building a scanner, model, dashboard or bot \u2014 not a casino.<\/td>\n<\/tr>\n
You have an operator budget and a procurement process.<\/td>\nYou want to start free and scale, with sharps + prediction markets included.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/figure>\n
If you’re comparing several screeners and feeds, also worth a look: jedibets.com<\/a> runs a player-props odds screener with Discord alerts. For pure esports coverage, see our esports odds API guide<\/a>, the PandaScore alternative<\/a>, and the Valorant VCT odds<\/a> walkthrough.<\/p>\n
FAQ<\/h2>\n
Does Databet have a public API or free tier?<\/h3>\n
No self-serve developer API or public free tier. Databet sells data and sportsbook platforms to operators; access starts with a sales\/demo conversation. For an instant free key, OddsPapi is the developer alternative.<\/p>\n
Can I get CS2, Dota 2 and LoL odds from OddsPapi?<\/h3>\n
Yes. Each esport has its own sportId (CS2 = 17, Dota 2 = 16, LoL = 18, plus Valorant and others). Filter \/sports<\/code> for \"esport\"<\/code> in the slug, then call \/fixtures<\/code> and \/odds<\/code>.<\/p>\n
Why do Polymarket and Kalshi show odds of 1.0?<\/h3>\n
They’re listed in the bookmaker catalog but inactive for that fixture (common for esports outside major tournaments). Always skip prices of 1.0<\/code> or rows with active: false<\/code> \u2014 parse defensively.<\/p>\n
Is the esports odds data real-time?<\/h3>\n
Yes. The REST \/odds<\/code> endpoint returns live prices, and OddsPapi also pushes updates over WebSocket so you don’t have to poll.<\/p>\n