# Sports Fixtures, Scores & Odds — 335 Leagues (Live) (`blockshark/sports-fixtures-odds`) Actor Upcoming fixtures, live scores, results, bookmaker odds (moneyline/spread/totals) and standings for 335 leagues across 11 sports: soccer, NBA, NFL, MLB, NHL, tennis (ATP/WTA), UFC/MMA, rugby, AFL and more. Clean JSON, MCP-ready. - **URL**: https://apify.com/blockshark/sports-fixtures-odds.md - **Developed by:** [BlockShark](https://apify.com/blockshark) (community) - **Categories:** Sports - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $1.50 / 1,000 sports event records This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. 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 ## Sports Fixtures, Scores & Odds — 335 Leagues, Live One actor for **upcoming fixtures, live scores, final results, bookmaker odds and league standings** across **335 leagues in 11 sports** — soccer (220+ leagues from the Premier League to Brasileirão), NBA/WNBA, NFL, MLB, NHL, ATP/WTA tennis, UFC and 47 more MMA organizations, rugby, AFL and volleyball. Pay only for the event records you receive. No API keys, no subscriptions, no rate-limit headaches. ### What you get per event ```json { "type": "event", "id": "espn:baseball.mlb:401816119", "sport": "baseball", "league": "baseball.mlb", "leagueName": "Major League Baseball", "startsAt": "2026-07-12T18:10Z", "status": "scheduled", "homeTeam": "Pittsburgh Pirates", "awayTeam": "Milwaukee Brewers", "homeScore": null, "awayScore": null, "venue": "PNC Park", "round": null, "odds": [ { "bookmaker": "draftkings", "h2h": { "home": { "american": -118, "decimal": 1.847 }, "away": { "american": -102, "decimal": 1.98 } }, "spreads": { "homeLine": -1.5, "home": { "american": 142, "decimal": 2.42 } }, "totals": { "line": 8.5, "over": { "american": -107, "decimal": 1.935 } }, "fetchedAt": "2026-07-12T14:30:11.000Z" } ] } ```` Statuses: `scheduled` → `live` (with live scores) → `finished` (with final scores + winner), plus `postponed` / `cancelled`. ### Use cases - **Betting models & odds analysis** — moneyline/spread/totals in American + decimal formats - **AI agents** — works out of the box as an MCP tool in Claude, Cursor and other agent clients - **Sports apps & widgets** — fixtures and live scores for any league without an expensive data contract - **Research** — results + closing prices for backtesting ### Input | Field | Example | Notes | |---|---|---| | `sports` | `["soccer","tennis"]` | empty = all active leagues | | `leagues` | `["soccer.eng.1","baseball.mlb","mma.ufc"]` | exact keys, overrides `sports` — [full catalog](https://github.com/apify/actor/blob/main/LEAGUES.md) in LEAGUES.md | | `daysAhead` / `daysBack` | `3` / `1` | date window | | `includeOdds` | `true` | attach bookmaker prices to upcoming events | | `onlyWithOdds` | `false` | drop events without prices | | `includeStandings` | `false` | one standings record per league (rank, points, W/D/L) | | `maxEvents` | `2000` | hard cost cap | ### Popular league keys `soccer.eng.1` Premier League · `soccer.esp.1` LaLiga · `soccer.ger.1` Bundesliga · `soccer.ita.1` Serie A · `soccer.uefa.champions` Champions League · `soccer.fifa.world` World Cup · `soccer.bra.1` Brasileirão · `soccer.usa.1` MLS · `basketball.nba` NBA · `football.nfl` NFL · `baseball.mlb` MLB · `hockey.nhl` NHL · `tennis.atp` / `tennis.wta` ATP & WTA · `mma.ufc` UFC Full list of all 335 keys: **LEAGUES.md** in this repo. Dormant leagues (off-season) wake up automatically. ### Odds coverage Bookmaker prices (currently DraftKings via ESPN's public betting feed) are available for US sports (MLB, NBA, NFL, NHL, WNBA) and top soccer competitions, on h2h/moneyline, spreads and totals. Tennis and MMA return fixtures/results only. ### FAQ **Where does the data come from?** Publicly available ESPN endpoints, fetched politely and normalized into one clean schema. **How fresh is it?** Fetched live at run time. Schedule the actor (e.g. every 30 minutes) to maintain your own always-current dataset. **Legal?** The actor accesses only publicly available data — the same information anyone sees in a browser. No logins, no paywalls, no personal data. # Actor input Schema ## `sports` (type: `array`): Which sports to fetch. Leave empty for ALL active leagues. ## `leagues` (type: `array`): Exact league keys (overrides Sports), e.g. `soccer.eng.1`, `baseball.mlb`, `basketball.nba`, `tennis.atp`, `mma.ufc`. See the README for the full 335-league catalog. ## `daysAhead` (type: `integer`): How many days of upcoming fixtures to include. ## `daysBack` (type: `integer`): How many past days to include (for final scores/results). ## `includeOdds` (type: `boolean`): Attach moneyline / spread / totals prices (American + decimal) to upcoming events where available. ## `onlyWithOdds` (type: `boolean`): Skip events that have no bookmaker prices. ## `includeStandings` (type: `boolean`): Also push one standings-table record per league (points, rank, W/D/L). ## `maxEvents` (type: `integer`): Hard cap on event records pushed (cost control). ## Actor input object example ```json { "sports": [], "leagues": [], "daysAhead": 3, "daysBack": 0, "includeOdds": true, "onlyWithOdds": false, "includeStandings": false, "maxEvents": 2000 } ``` # 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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("blockshark/sports-fixtures-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 = {} # Run the Actor and wait for it to finish run = client.actor("blockshark/sports-fixtures-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 '{}' | apify call blockshark/sports-fixtures-odds --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=blockshark/sports-fixtures-odds", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Sports Fixtures, Scores & Odds — 335 Leagues (Live)", "description": "Upcoming fixtures, live scores, results, bookmaker odds (moneyline/spread/totals) and standings for 335 leagues across 11 sports: soccer, NBA, NFL, MLB, NHL, tennis (ATP/WTA), UFC/MMA, rugby, AFL and more. Clean JSON, MCP-ready.", "version": "0.1", "x-build-id": "p2Y2FUdjOcYPiH0IQ" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/blockshark~sports-fixtures-odds/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-blockshark-sports-fixtures-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/blockshark~sports-fixtures-odds/runs": { "post": { "operationId": "runs-sync-blockshark-sports-fixtures-odds", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/blockshark~sports-fixtures-odds/run-sync": { "post": { "operationId": "run-sync-blockshark-sports-fixtures-odds", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "sports": { "title": "Sports", "type": "array", "description": "Which sports to fetch. Leave empty for ALL active leagues.", "items": { "type": "string", "enum": [ "soccer", "basketball", "baseball", "hockey", "tennis", "american_football", "mma", "rugby", "volleyball", "australian_football" ], "enumTitles": [ "Soccer / Football", "Basketball (NBA, WNBA...)", "Baseball (MLB...)", "Ice Hockey (NHL...)", "Tennis (ATP/WTA)", "American Football (NFL...)", "MMA / UFC", "Rugby", "Volleyball", "Aussie Rules (AFL)" ] }, "default": [] }, "leagues": { "title": "Specific league keys", "type": "array", "description": "Exact league keys (overrides Sports), e.g. `soccer.eng.1`, `baseball.mlb`, `basketball.nba`, `tennis.atp`, `mma.ufc`. See the README for the full 335-league catalog.", "default": [], "items": { "type": "string" } }, "daysAhead": { "title": "Days ahead", "minimum": 0, "maximum": 14, "type": "integer", "description": "How many days of upcoming fixtures to include.", "default": 3 }, "daysBack": { "title": "Days back", "minimum": 0, "maximum": 14, "type": "integer", "description": "How many past days to include (for final scores/results).", "default": 0 }, "includeOdds": { "title": "Include bookmaker odds", "type": "boolean", "description": "Attach moneyline / spread / totals prices (American + decimal) to upcoming events where available.", "default": true }, "onlyWithOdds": { "title": "Only events with odds", "type": "boolean", "description": "Skip events that have no bookmaker prices.", "default": false }, "includeStandings": { "title": "Include league standings", "type": "boolean", "description": "Also push one standings-table record per league (points, rank, W/D/L).", "default": false }, "maxEvents": { "title": "Max event records", "minimum": 1, "type": "integer", "description": "Hard cap on event records pushed (cost control).", "default": 2000 } } }, "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 } } } } } } } } } } ```