# ESPN Scoreboard Scraper: NBA, NFL, MLB, NHL & Soccer Scores (`bright_oven/espn-scoreboards`) Actor Live and historical game scores from ESPN scoreboards: NBA, NFL, MLB, NHL and 8 soccer leagues (Premier League, La Liga, Champions League, MLS...). One clean JSON record per game with teams, scores, status, venue and odds. - **URL**: https://apify.com/bright\_oven/espn-scoreboards.md - **Developed by:** [John Pork](https://apify.com/bright_oven) (community) - **Categories:** News, Other, Social media - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $1.00 / 1,000 scores 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 ## ESPN Scoreboard Scraper — NBA, NFL, MLB, NHL & Soccer Game scores from ESPN's public scoreboards as clean JSON — live games, final scores, and historical dates. Covers **NBA, NFL, MLB, NHL** plus **MLS, Premier League, La Liga, Bundesliga, Serie A, Ligue 1, Champions League, Danish Superliga**. ### What you get One record per game: ```json { "league": "nba", "gameId": "401705123", "name": "Boston Celtics at Oklahoma City Thunder", "date": "2026-06-11", "startTime": "2026-06-12T00:30:00Z", "state": "post", "completed": true, "home": {"team": "Oklahoma City Thunder", "abbrev": "OKC", "score": 112}, "away": {"team": "Boston Celtics", "abbrev": "BOS", "score": 108}, "venue": "Paycom Center", "odds": "OKC -3.5", "overUnder": 221.5 } ```` ### Use cases - **Sports models & betting research** — final scores and odds snapshots per game - **Prediction market resolution** — settle "Will X win against Y?" style markets against the official scoreboard - **AI agents** — structured scores straight into your agent via the Apify API or MCP - **Dashboards / Discord bots** — schedule runs during game windows ### Input ```json { "leagues": ["nba", "premier league"], "startDate": "2026-06-10", "endDate": "2026-06-12", "teamFilter": "celtics" } ``` Date range is capped at 31 days per run. Omit dates to fetch today's slate (live games included, `state: "in"`). ### Run via API ```bash curl -s "https://api.apify.com/v2/acts/~espn-scoreboards/run-sync-get-dataset-items?token=$APIFY_TOKEN" \ -X POST -H 'Content-Type: application/json' \ -d '{"leagues": ["nba"], "startDate": "2026-06-11"}' ``` ### FAQ **Does it cover live games?** Yes — games in progress return `state: "in"` with current scores. **Tournament/season winners?** This actor reports individual game results, not season futures. # Actor input Schema ## `leagues` (type: `array`): Leagues to fetch. ## `startDate` (type: `string`): First date to fetch (YYYY-MM-DD). Defaults to today. ## `endDate` (type: `string`): Last date to fetch inclusive (YYYY-MM-DD, max 31 days per run). Defaults to start date. ## `teamFilter` (type: `string`): Only emit games where a team name contains this text (case-insensitive). ## Actor input object example ```json { "leagues": [ "nba", "mlb" ] } ``` # Actor output Schema ## `results` (type: `string`): Charged once per game record returned. # 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 = { "leagues": [ "nba", "mlb" ] }; // Run the Actor and wait for it to finish const run = await client.actor("bright_oven/espn-scoreboards").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 = { "leagues": [ "nba", "mlb", ] } # Run the Actor and wait for it to finish run = client.actor("bright_oven/espn-scoreboards").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 '{ "leagues": [ "nba", "mlb" ] }' | apify call bright_oven/espn-scoreboards --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=bright_oven/espn-scoreboards", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "ESPN Scoreboard Scraper: NBA, NFL, MLB, NHL & Soccer Scores", "description": "Live and historical game scores from ESPN scoreboards: NBA, NFL, MLB, NHL and 8 soccer leagues (Premier League, La Liga, Champions League, MLS...). One clean JSON record per game with teams, scores, status, venue and odds.", "version": "0.1", "x-build-id": "GfyDORFr5cjI7pV6z" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/bright_oven~espn-scoreboards/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-bright_oven-espn-scoreboards", "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/bright_oven~espn-scoreboards/runs": { "post": { "operationId": "runs-sync-bright_oven-espn-scoreboards", "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/bright_oven~espn-scoreboards/run-sync": { "post": { "operationId": "run-sync-bright_oven-espn-scoreboards", "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", "required": [ "leagues" ], "properties": { "leagues": { "title": "Leagues", "type": "array", "description": "Leagues to fetch.", "items": { "type": "string", "enum": [ "nba", "nfl", "mlb", "nhl", "mls", "premier league", "la liga", "bundesliga", "serie a", "ligue 1", "champions league", "danish superliga" ], "enumTitles": [ "NBA", "NFL", "MLB", "NHL", "MLS", "Premier League", "La Liga", "Bundesliga", "Serie A", "Ligue 1", "UEFA Champions League", "Danish Superliga" ] } }, "startDate": { "title": "Start date", "type": "string", "description": "First date to fetch (YYYY-MM-DD). Defaults to today." }, "endDate": { "title": "End date", "type": "string", "description": "Last date to fetch inclusive (YYYY-MM-DD, max 31 days per run). Defaults to start date." }, "teamFilter": { "title": "Team filter", "type": "string", "description": "Only emit games where a team name contains this text (case-insensitive)." } } }, "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 } } } } } } } } } } ```