# BetMGM Odds API | Real-Time Lines & Player Props (`zen-studio/betmgm-odds`) Actor Extract real-time BetMGM sportsbook odds for 22 sports across 18 US states. Get moneylines, spreads, totals, player props, and futures in decimal, American, and fractional formats. Always-on HTTP endpoints plus batch CSV/JSON export. NBA, NFL, MLB, NHL, EPL, and 500+ leagues. No login required. - **URL**: https://apify.com/zen-studio/betmgm-odds.md - **Developed by:** [Zen Studio](https://apify.com/zen-studio) (community) - **Categories:** Automation, Integrations, Developer tools - **Stats:** 3 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $2.99 / 1,000 odds requests This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## BetMGM Odds API | Real-Time Sportsbook Lines, Spreads & Player Props **Real-time BetMGM odds for 22 sports across 18 US states.** Moneylines, spreads, totals, player props, and futures in decimal, American, and fractional formats. No login required. Always-on HTTP endpoints for live integration, plus batch export to CSV/JSON.
Zen Studio Sports Betting   •  Real-time odds across every major sportsbook
 Bet365 Odds
Global odds, live scores 		 DraftKings Odds
Lines, props, SGP 		 BetMGM Odds
➤ You are here 		 PrizePicks Props
Projections and lines
#### Copy to your AI assistant Copy this block into ChatGPT, Claude, Cursor, or any LLM to start building with this data. ```` BetMGM Odds API (zen-studio/betmgm-odds) on Apify. Real-time sportsbook odds for 22 sports, 18 US states. Base: https://zen-studio--betmgm-odds.apify.actor Auth: ?token=APIFY\_TOKEN (get at https://console.apify.com/account/integrations). Endpoints: GET /health (free, health check), GET /sports (free, 22 sports with slugs), GET /leagues?sport=basketball\&state=nj ($0.003, discover leagues with fixture counts), GET /leagues/{leagueId}?market=game\_lines\&state=nj ($0.003, all events with odds), GET /events/{eventId}?market=all\&state=nj ($0.003, single event full market depth 100-500 markets), GET /live?sport=basketball\&state=nj ($0.003, live events with scoreboards). Response: {"success": true, "count": N, "events": \[{"eventId", "sport", "sportSlug", "league", "leagueId", "homeTeam", "awayTeam", "startDate", "stage", "isLive", "isOpenForBetting", "markets": \[{"name", "category", "isMain", "line", "selections": \[{"name", "odds", "americanOdds", "fractionalOdds", "line"}]}]}]}. Market filters: game\_lines (moneyline/spread/totals), player\_props, all. States: nj pa co mi az va tn ia in wv dc wy ks ky mo la ny il ms. Batch mode: run with {"sport": "basketball", "market": "game\_lines", "maxResults": 500, "state": "nj"} for CSV/JSON export. Also available as MCP server: add zen-studio/betmgm-odds at mcp.apify.com. OpenAPI spec: /openapi.json?token=TOKEN ```` Also available as an [MCP server](https://mcp.apify.com/) — add `zen-studio/betmgm-odds` for natural language access. ### Key Features - **22 sports, 500+ leagues** — NBA, NFL, MLB, NHL, EPL, La Liga, World Cup, and every league BetMGM offers - **18 US states** — NJ, PA, CO, MI, AZ, VA, TN, and 11 more. Compare odds across state lines. - **3 odds formats** — decimal, American, and fractional included in every response - **Full market depth** — moneylines, spreads, totals, 200+ player props, alt lines, futures ### What You Can Do #### Discovery (2 endpoints, free) | Endpoint | Description | |----------|-------------| | `GET /health` | Health check | | `GET /sports` | List all 22 sports with slugs and IDs | #### Odds Data (4 endpoints, $0.003 each) | Endpoint | Description | |----------|-------------| | `GET /leagues?sport={slug}&state={st}` | All leagues for a sport with event counts | | `GET /leagues/{id}?market={filter}&state={st}` | All events in a league with odds | | `GET /events/{id}?market={filter}&state={st}` | Single event, full market depth (100-500 markets) | | `GET /live?sport={slug}&state={st}` | Live events with scoreboards | **Market filters:** `game_lines` (default, moneyline/spread/totals), `player_props`, `all` **State codes:** `nj` (default), `pa`, `co`, `mi`, `az`, `va`, `tn`, `ia`, `in`, `wv`, `dc`, `wy`, `ks`, `ky`, `mo`, `la`, `ny`, `il`, `ms` ### Quick Start #### 1. Discover leagues ```bash curl "https://zen-studio--betmgm-odds.apify.actor/leagues?sport=basketball&token=YOUR_APIFY_TOKEN" ```` ```json { "success": true, "count": 30, "sport": "basketball", "leagues": [ { "id": "df55f1a848c3", "name": "NBA", "fixtureCount": 14 }, { "id": "c529334fe0d5", "name": "EuroLeague - Men", "fixtureCount": 11 }, { "id": "77a9c39a3530", "name": "B.League", "fixtureCount": 12 } ] } ``` #### 2. Get odds for a league ```bash curl "https://zen-studio--betmgm-odds.apify.actor/leagues/df55f1a848c3?market=game_lines&token=YOUR_APIFY_TOKEN" ``` #### 3. Full market depth for one event ```bash curl "https://zen-studio--betmgm-odds.apify.actor/events/9c76cfcb2706?market=all&token=YOUR_APIFY_TOKEN" ``` Returns 100-500 markets including all player props, alt lines, and specials. ### Response Format Every endpoint returns a consistent envelope: ```json { "success": true, "count": 9, "events": [ { "eventId": "9c76cfcb2706", "name": "New York Knicks at Memphis Grizzlies", "sport": "Basketball", "sportSlug": "basketball", "league": "NBA", "leagueId": "df55f1a848c3", "region": "USA", "state": "NJ", "homeTeam": "New York Knicks", "awayTeam": "Memphis Grizzlies", "startDate": "2026-04-02T00:10:00Z", "cutOffDate": "2026-04-02T00:10:00Z", "stage": "PreMatch", "isLive": false, "isOpenForBetting": true, "isPlannedInPlay": false, "totalMarketsCount": 265, "markets": [ { "name": "Moneyline", "category": "game_lines", "isMain": true, "line": null, "selections": [ { "name": "Knicks", "odds": 1.08, "americanOdds": -1200, "fractionalOdds": "1/12", "line": null, "visibility": "Visible" }, { "name": "Grizzlies", "odds": 8.25, "americanOdds": 725, "fractionalOdds": "7/1", "line": null, "visibility": "Visible" } ] }, { "name": "Spread", "category": "game_lines", "isMain": false, "line": null, "selections": [ { "name": "New York Knicks -14.5", "odds": 1.91, "americanOdds": -110, "fractionalOdds": "10/11", "line": -14.5 }, { "name": "Memphis Grizzlies +14.5", "odds": 1.91, "americanOdds": -110, "fractionalOdds": "10/11", "line": 14.5 } ] }, { "name": "Totals", "category": "game_lines", "isMain": false, "line": 227.5, "selections": [ { "name": "Over 227.5", "odds": 1.87, "americanOdds": -115, "fractionalOdds": "20/23", "line": null, "totalsPrefix": "Over" }, { "name": "Under 227.5", "odds": 1.95, "americanOdds": -105, "fractionalOdds": "20/21", "line": null, "totalsPrefix": "Under" } ] } ], "scrapedAt": "2026-04-01T13:26:35Z" } ] } ``` #### Error Responses ```json { "success": false, "error": "Unknown sport: curling. Use /sports to see available options." } ``` | Code | Meaning | |------|---------| | 400 | Invalid parameter (bad sport, unknown ID, invalid market) | | 404 | Event not found or no longer available | | 500 | Internal error (retry) | #### Live Events with Scoreboards The `/live` endpoint returns all in-progress events with real-time scores: ```json { "eventId": "abc123def456", "homeTeam": "Qingdao Eagles", "awayTeam": "Tianjin", "isLive": true, "scoreboard": { "period": "Q3", "homeScore": 63, "awayScore": 61 }, "markets": [ { "name": "Moneyline", "category": "game_lines", "selections": [...] } ] } ``` Events without inline odds (tennis, table tennis) are still included with scoreboards. Call `/events/{id}` for full market depth. ### Batch Mode Run the actor with input to export all odds to a dataset (CSV/JSON). One row per selection. ```json { "sport": "basketball", "market": "game_lines", "maxResults": 500, "state": "nj" } ``` #### Batch Output | sport | league | event | market | selection | odds | americanOdds | line | |-------|--------|-------|--------|-----------|------|-------------|------| | Basketball | NBA | Knicks at Grizzlies | Moneyline | Knicks | 1.08 | -1200 | | | Basketball | NBA | Knicks at Grizzlies | Spread | Knicks -14.5 | 1.91 | -110 | -14.5 | | Basketball | NBA | Knicks at Grizzlies | Totals | Over 227.5 | 1.87 | -115 | 227.5 | Use batch for scheduled polling (every 5/15/60 minutes), daily dumps, or one-off research. ### Pricing **$3 per 1,000 requests** (pay per event). Discovery endpoints (`/health`, `/sports`) are free. | What you get | Requests | Cost | |-------------|----------|------| | NBA game lines (9 games) | 1 | $0.003 | | Full NBA day (game lines + props) | 10 | $0.03 | | All basketball leagues | 1 | $0.003 | | All sports batch (game lines) | ~10 | $0.03 | | Hourly NBA poll for 24h | 24 | $0.07 | Batch mode charges per league processed (not per row). ### FAQ **What's Standby mode?** Always-on HTTP server. No queue, no cold start. Apify keeps it warm and routes requests directly. **How fresh is the data?** Real-time. Each request fetches live data. Odds update as lines move. **Can I compare odds across states?** Yes. Pass different `state` parameters to compare NJ vs PA vs CO odds for the same events. **Which sports are supported?** 22 sports: Basketball, American Football, Baseball, Hockey, Soccer, Tennis, MMA, Golf, Boxing, Cricket, Darts, Formula 1, Handball, Lacrosse, Motorsport, NASCAR, Rugby League, Rugby Union, Snooker, Table Tennis, Volleyball, Cycling. **What's the difference between game\_lines and player\_props?** Game lines are moneyline, spread, and totals. Player props are per-player stats (points, rebounds, assists, strikeouts). A single NBA game has ~25 game lines and ~240 player props. **Why do some live events show 0 markets?** Some sports (tennis, table tennis) don't include inline odds in the live feed. The scoreboard and metadata are still present. Call `/events/{id}` for full odds. **What do the IDs look like?** IDs are opaque 12-character hex strings (e.g. `df55f1a848c3`). They are stable across requests. Discover them via `/sports` and `/leagues`. **Is there a rate limit?** No hard rate limit. Avoid rapid-fire requests from the same session. **Can I use this for arbitrage?** Yes. Run BetMGM alongside DraftKings and Bet365 actors to compare odds across books. ### Support - **Bugs**: Issues tab - **Features**: Issues tab ### Legal Compliance Extracts publicly available odds data. Users must comply with applicable terms and data protection regulations. *** *Real-time BetMGM sportsbook odds for 22 sports, 18 US states. Standby HTTP endpoints + batch CSV/JSON export.* # Actor input Schema ## `sport` (type: `string`): Pick a sport or fetch all at once. All Sports iterates the 10 most popular sports in order. The full list of 22 sports with all leagues is available via the /sports and /leagues standby endpoints. ## `market` (type: `string`): Which betting markets to include in each event.

Game Lines — moneyline, spread, totals. Fastest option.
Player Props — per-player points, rebounds, assists, strikeouts, etc. Slower for sports with many events.
All Markets — game lines + player props + specials. Same speed as Player Props. ## `maxResults` (type: `integer`): Maximum number of odds rows to export. Each selection is one row (e.g. "Over 220.5" is one row). Set to 0 for unlimited.

With Game Lines, a single sport produces ~100–500 rows. With Player Props or All, a single sport can produce thousands. ## `state` (type: `string`): BetMGM runs separate sportsbook instances per US state. Odds and available events can differ between states due to regulation. Most users should leave this on New Jersey — it has the broadest coverage. ## Actor input object example ```json { "sport": "basketball", "market": "game_lines", "maxResults": 50, "state": "nj" } ``` # Actor output Schema ## `results` (type: `string`): No description # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "sport": "basketball", "market": "game_lines", "maxResults": 50, "state": "nj" }; // Run the Actor and wait for it to finish const run = await client.actor("zen-studio/betmgm-odds").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "sport": "basketball", "market": "game_lines", "maxResults": 50, "state": "nj", } # Run the Actor and wait for it to finish run = client.actor("zen-studio/betmgm-odds").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "sport": "basketball", "market": "game_lines", "maxResults": 50, "state": "nj" }' | apify call zen-studio/betmgm-odds --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=zen-studio/betmgm-odds", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "BetMGM Odds API | Real-Time Lines & Player Props", "description": "Extract real-time BetMGM sportsbook odds for 22 sports across 18 US states. Get moneylines, spreads, totals, player props, and futures in decimal, American, and fractional formats. Always-on HTTP endpoints plus batch CSV/JSON export. NBA, NFL, MLB, NHL, EPL, and 500+ leagues. No login required.", "version": "0.0", "x-build-id": "ojuF3ZhmmcFnK5qKx" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/zen-studio~betmgm-odds/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-zen-studio-betmgm-odds", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/zen-studio~betmgm-odds/runs": { "post": { "operationId": "runs-sync-zen-studio-betmgm-odds", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/zen-studio~betmgm-odds/run-sync": { "post": { "operationId": "run-sync-zen-studio-betmgm-odds", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": { "sport": { "title": "Sport", "enum": [ "ALL", "basketball", "football", "baseball", "hockey", "soccer", "tennis", "mma", "golf", "boxing", "cricket", "darts", "formula_1", "handball", "lacrosse", "motorsport", "nascar", "rugby_league", "rugby_union", "snooker", "table_tennis", "volleyball", "cycling" ], "type": "string", "description": "Pick a sport or fetch all at once. All Sports iterates the 10 most popular sports in order. The full list of 22 sports with all leagues is available via the /sports and /leagues standby endpoints.", "default": "basketball" }, "market": { "title": "Market Type", "enum": [ "game_lines", "player_props", "all" ], "type": "string", "description": "Which betting markets to include in each event.

Game Lines — moneyline, spread, totals. Fastest option.
Player Props — per-player points, rebounds, assists, strikeouts, etc. Slower for sports with many events.
All Markets — game lines + player props + specials. Same speed as Player Props.", "default": "game_lines" }, "maxResults": { "title": "Max Results", "minimum": 0, "type": "integer", "description": "Maximum number of odds rows to export. Each selection is one row (e.g. \"Over 220.5\" is one row). Set to 0 for unlimited.

With Game Lines, a single sport produces ~100–500 rows. With Player Props or All, a single sport can produce thousands.", "default": 500 }, "state": { "title": "US State", "enum": [ "nj", "pa", "co", "mi", "az", "va", "tn", "ia", "in", "wv", "dc", "wy", "ks", "ky", "mo", "la", "ny", "il", "ms" ], "type": "string", "description": "BetMGM runs separate sportsbook instances per US state. Odds and available events can differ between states due to regulation. Most users should leave this on New Jersey — it has the broadest coverage.", "default": "nj" } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```