# ESPN Sports Scraper - Live Scores, Stats & Schedules (`antishock/espn-sports-live-scores-scraper`) Actor Scrape ESPN for live scores, game stats and schedules across NFL, NBA, MLB, NHL and Soccer. Returns scores, team records, top performers and full game details. - **URL**: https://apify.com/antishock/espn-sports-live-scores-scraper.md - **Developed by:** [Ryan Zinburg](https://apify.com/antishock) (community) - **Categories:** Other - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## 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 Sports Scraper – Scores, Stats & Schedules Scrapes ESPN's public JSON APIs for live scores, schedules, venues, attendance and top performers/player stats. Supported examples: - `football/nfl` - `basketball/nba` - `baseball/mlb` - `hockey/nhl` - `soccer/eng.1` (English Premier League) - `soccer/esp.1` (La Liga) ### Input ```json { "sports": ["football/nfl", "basketball/nba", "baseball/mlb", "hockey/nhl", "soccer/eng.1", "soccer/esp.1"], "datesFrom": "2026-01-01", "datesTo": "2026-01-31", "maxEvents": 100, "includeTopPerformers": true } ```` If no date range is supplied, the actor reads ESPN's current scoreboard for each selected league. ### Output ```json { "sport": "football", "league": "nfl", "event_id": "401547417", "event_name": "Dallas Cowboys at New York Giants", "home_team": "Dallas Cowboys", "away_team": "New York Giants", "home_score": 28, "away_score": 14, "status": "final", "status_detail": "Final", "date": "2026-01-12T18:00:00Z", "venue": "AT&T Stadium", "attendance": 93000, "top_performers": [{"name": "Dak Prescott", "team": "Dallas Cowboys", "stat": "passing", "value": "YDS: 312, TD: 3"}], "links": [] } ``` ### Data source This actor uses ESPN endpoints that are publicly consumed by ESPN web apps: - `https://site.api.espn.com/apis/site/v2/sports/{sport}/{league}/scoreboard` - `https://site.api.espn.com/apis/site/v2/sports/{sport}/{league}/summary?event={eventId}` # Actor input Schema ## `sports` (type: `array`): ESPN sport/league pairs, for example football/nfl, basketball/nba, baseball/mlb, hockey/nhl, soccer/eng.1, soccer/esp.1. ## `datesFrom` (type: `string`): Start date in YYYY-MM-DD format. If omitted, ESPN's current scoreboard is used. ## `datesTo` (type: `string`): End date in YYYY-MM-DD format. If omitted, datesFrom or ESPN's current scoreboard is used. ## `maxEvents` (type: `integer`): Maximum number of unique events to save across all requested sports/leagues. ## `includeTopPerformers` (type: `boolean`): Fetch ESPN summary endpoint for every event and extract top performers/player leaders when available. ## Actor input object example ```json { "sports": [ "football/nfl", "basketball/nba", "baseball/mlb", "hockey/nhl", "soccer/eng.1", "soccer/esp.1" ], "maxEvents": 100, "includeTopPerformers": true } ``` # 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 = { "sports": [ "football/nfl", "basketball/nba", "baseball/mlb", "hockey/nhl", "soccer/eng.1", "soccer/esp.1" ] }; // Run the Actor and wait for it to finish const run = await client.actor("antishock/espn-sports-live-scores-scraper").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 = { "sports": [ "football/nfl", "basketball/nba", "baseball/mlb", "hockey/nhl", "soccer/eng.1", "soccer/esp.1", ] } # Run the Actor and wait for it to finish run = client.actor("antishock/espn-sports-live-scores-scraper").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 '{ "sports": [ "football/nfl", "basketball/nba", "baseball/mlb", "hockey/nhl", "soccer/eng.1", "soccer/esp.1" ] }' | apify call antishock/espn-sports-live-scores-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=antishock/espn-sports-live-scores-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "ESPN Sports Scraper - Live Scores, Stats & Schedules", "description": "Scrape ESPN for live scores, game stats and schedules across NFL, NBA, MLB, NHL and Soccer. Returns scores, team records, top performers and full game details.", "version": "0.1", "x-build-id": "RReF26f1R2edrJtKx" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/antishock~espn-sports-live-scores-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-antishock-espn-sports-live-scores-scraper", "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/antishock~espn-sports-live-scores-scraper/runs": { "post": { "operationId": "runs-sync-antishock-espn-sports-live-scores-scraper", "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/antishock~espn-sports-live-scores-scraper/run-sync": { "post": { "operationId": "run-sync-antishock-espn-sports-live-scores-scraper", "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": [ "sports" ], "properties": { "sports": { "title": "Sports/leagues", "type": "array", "description": "ESPN sport/league pairs, for example football/nfl, basketball/nba, baseball/mlb, hockey/nhl, soccer/eng.1, soccer/esp.1.", "items": { "type": "string" } }, "datesFrom": { "title": "Date from", "type": "string", "description": "Start date in YYYY-MM-DD format. If omitted, ESPN's current scoreboard is used." }, "datesTo": { "title": "Date to", "type": "string", "description": "End date in YYYY-MM-DD format. If omitted, datesFrom or ESPN's current scoreboard is used." }, "maxEvents": { "title": "Maximum events", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Maximum number of unique events to save across all requested sports/leagues.", "default": 100 }, "includeTopPerformers": { "title": "Include top performers", "type": "boolean", "description": "Fetch ESPN summary endpoint for every event and extract top performers/player leaders when available.", "default": true } } }, "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 } } } } } } } } } } ```