# ESPN Sports Data Scraper (`parseforge/espn-sports-scraper`) Actor Extract live scores, standings, team rosters, and news from ESPN. Covers NFL, NBA, MLB, NHL, Premier League, La Liga, Serie A, Bundesliga, Ligue 1, and MLS. Get game schedules, odds, venue info, and team details. No proxy needed, pure API. - **URL**: https://apify.com/parseforge/espn-sports-scraper.md - **Developed by:** [ParseForge](https://apify.com/parseforge) (community) - **Categories:** News, Developer tools, Other - **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $5.00 / 1,000 results This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. 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 ![ParseForge Banner](https://raw.githubusercontent.com/ParseForge/apify-assets/main/banner.jpg) ## ESPN Sports Data Scraper Whether you're a sports bettor tracking live odds, a fantasy sports player building rosters, or a media company covering game results, this tool collects structured sports data from ESPN covering 10 major leagues including NFL, NBA, MLB, NHL, and top soccer leagues worldwide. > **The ESPN Scraper delivers live scores, standings, team rosters, and news from 10 leagues. Get game status, odds, venue info, broadcast details, and team stats - all in structured, downloadable format.** ### What Does It Do - 🏈 Live scores - real-time game scores, status, and final results across all supported leagues - 📊 Standings - current season standings with wins, losses, streaks, and division rankings - 👥 Team rosters - complete player lists with positions, numbers, and team details - 📰 News - latest headlines, articles, and updates from ESPN's sports coverage - 🎰 Odds - betting lines, spreads, and over/under from major sportsbooks - 🏟️ Venue data - stadium names, locations, and broadcast network information ### Input - **Sport** - select from 10 leagues: NFL, NBA, MLB, NHL, Premier League, La Liga, Serie A, Bundesliga, Ligue 1, MLS - **Data Type** - choose what to collect: scoreboard, teams, standings, or news - **Team ID** - optional ESPN team ID to filter results for a specific team - **Max Items** - how many records to collect (free users get 10, paid up to 1,000,000) ```json { "sport": "nba", "dataType": "scoreboard", "maxItems": 50 } ```` ### Output Each record includes detailed game, team, or news data depending on the data type selected. Download as JSON, CSV, or Excel. | Field | Description | |-------|-------------| | 🔢 eventId | Unique ESPN event identifier | | 🏆 name | Full event name (e.g., "Atlanta Hawks at Cleveland Cavaliers") | | 📋 shortName | Abbreviated matchup (e.g., "ATL @ CLE") | | 📅 date | Game date and time in UTC | | 🎯 gameStatus | Current status (Scheduled, In Progress, Final) | | 🏠 homeTeam | Home team full name | | 🔢 homeScore | Home team score | | ✈️ awayTeam | Away team full name | | 🔢 awayScore | Away team score | | 🏟️ venue | Stadium or arena name | | 📺 broadcast | TV network broadcasting the game | | 🎰 oddsDetails | Betting spread and line | | 🕐 scrapedAt | Timestamp of data collection | ```json { "eventId": "401725123", "name": "Atlanta Hawks at Cleveland Cavaliers", "shortName": "ATL @ CLE", "date": "2026-04-08T23:30:00Z", "gameStatus": "Scheduled", "homeTeam": "Cleveland Cavaliers", "homeScore": "0", "awayTeam": "Atlanta Hawks", "awayScore": "0", "venue": "Rocket Mortgage FieldHouse", "broadcast": "ESPN", "oddsDetails": "CLE -8.5", "scrapedAt": "2026-04-08T17:28:18.287Z" } ``` ### Why Choose the ESPN Sports Scraper? | Feature | Our Tool | Manual ESPN Browsing | |---------|----------|---------------------| | Batch collection | All games at once | Check each sport page | | 10 leagues | NFL, NBA, MLB, NHL, 6 soccer leagues | Navigate each separately | | 4 data types | Scores, standings, rosters, news | Browse different sections | | Structured output | JSON, CSV, Excel | HTML pages | | Live odds | Betting lines included | Check sportsbook sites | | Automated runs | Schedule daily or hourly | Refresh manually | ### How to Use 1. **Sign Up** - [Create a free account w/ $5 credit](https://console.apify.com/sign-up?fpr=vmoqkp) 2. **Configure** - select your sport, data type, and optional team filter 3. **Run It** - click "Start" and get sports data in seconds ### Business Use Cases - Sports bettors - track live odds, spreads, and game results to inform betting strategies - Fantasy sports players - access roster data, player stats, and injury updates for lineup decisions - Sports media - collect game results and standings for content creation and reporting - Data analysts - build datasets of historical scores, team performance, and league trends - App developers - feed structured sports data into dashboards, apps, and notification systems ### FAQ **What leagues are supported?** 10 leagues: NFL, NBA, MLB, NHL, English Premier League, La Liga, Serie A, Bundesliga, Ligue 1, and MLS. **Can I get live scores during games?** Yes. Set dataType to "scoreboard" and run the scraper during game time. The data reflects ESPN's live scoring feed. **How do I find a team's ID?** Team IDs are ESPN's internal identifiers. You can find them in ESPN URLs or leave the field empty to get data for all teams. **How often should I run it?** For live scores, run as frequently as needed. For standings and rosters, daily runs are typically sufficient. **Does it include betting odds?** Yes. Scoreboard data includes odds details like point spreads when available from ESPN's odds partners. ### Integrate ESPN Scraper with any app - [Make](https://docs.apify.com/platform/integrations/make) - Automate sports data collection - [Zapier](https://docs.apify.com/platform/integrations/zapier) - Push game results to spreadsheets - [Google Drive](https://docs.apify.com/platform/integrations/drive) - Export standings to Sheets - [Slack](https://docs.apify.com/platform/integrations/slack) - Get game alerts in your channel ### Recommended Actors | Actor | Description | Link | |-------|-------------|------| | Smart Apify Actor Scraper | Scrape and analyze Apify actors with 70+ fields and quality metrics | [Link](https://apify.com/parseforge/smart-apify-actor-scraper) | | PR Newswire Scraper | Collect press releases and news data | [Link](https://apify.com/parseforge/pr-newswire-scraper) | | HTML to JSON Smart Parser | Convert any web page into structured JSON data | [Link](https://apify.com/parseforge/html-to-json-smart-parser) | | Hugging Face Model Scraper | Collect AI model data and benchmarks | [Link](https://apify.com/parseforge/hugging-face-model-scraper) | | GSA eLibrary Scraper | Government contract and vendor data | [Link](https://apify.com/parseforge/gsa-elibrary-scraper) | **Pro Tip:** Browse our complete collection of [data collection actors](https://apify.com/parseforge) to find the perfect tool for your needs. ### Need Help? - Check the FAQ section above - Visit [Apify documentation](https://docs.apify.com) - Contact us at [Tally contact form](https://tally.so/r/BzdKgA) ### Disclaimer > This Actor is an independent tool and is not affiliated with, endorsed by, or connected to ESPN, ESPN Inc., or The Walt Disney Company. It accesses only publicly available data from espn.com. # Actor input Schema ## `maxItems` (type: `integer`): Free users: Limited to 10 records (preview). Paid users: Optional, max 1,000,000 ## `sport` (type: `string`): Select the sport or league to get data from. ## `dataType` (type: `string`): What data to collect. ## `teamId` (type: `string`): Optional: Get data for a specific team by ESPN ID (e.g. 25 for 49ers). Only used with Teams data type. ## Actor input object example ```json { "maxItems": 10, "sport": "nfl", "dataType": "scoreboard" } ``` # Actor output Schema ## `overview` (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 = { "maxItems": 10, "sport": "nfl", "dataType": "scoreboard" }; // Run the Actor and wait for it to finish const run = await client.actor("parseforge/espn-sports-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 = { "maxItems": 10, "sport": "nfl", "dataType": "scoreboard", } # Run the Actor and wait for it to finish run = client.actor("parseforge/espn-sports-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 '{ "maxItems": 10, "sport": "nfl", "dataType": "scoreboard" }' | apify call parseforge/espn-sports-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=parseforge/espn-sports-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "ESPN Sports Data Scraper", "description": "Extract live scores, standings, team rosters, and news from ESPN. Covers NFL, NBA, MLB, NHL, Premier League, La Liga, Serie A, Bundesliga, Ligue 1, and MLS. Get game schedules, odds, venue info, and team details. No proxy needed, pure API.", "version": "1.0", "x-build-id": "XNpVOF8EfSTA9Kg9S" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/parseforge~espn-sports-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-parseforge-espn-sports-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/parseforge~espn-sports-scraper/runs": { "post": { "operationId": "runs-sync-parseforge-espn-sports-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/parseforge~espn-sports-scraper/run-sync": { "post": { "operationId": "run-sync-parseforge-espn-sports-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "properties": { "maxItems": { "title": "Max Items", "minimum": 1, "maximum": 1000000, "type": "integer", "description": "Free users: Limited to 10 records (preview). Paid users: Optional, max 1,000,000" }, "sport": { "title": "Sport / League", "enum": [ "nfl", "nba", "mlb", "nhl", "premier-league", "la-liga", "serie-a", "bundesliga", "ligue-1", "mls", "all" ], "type": "string", "description": "Select the sport or league to get data from." }, "dataType": { "title": "Data Type", "enum": [ "scoreboard", "teams", "standings", "news", "roster", "schedule" ], "type": "string", "description": "What data to collect." }, "teamId": { "title": "Team ID", "type": "string", "description": "Optional: Get data for a specific team by ESPN ID (e.g. 25 for 49ers). Only used with Teams data type." } } }, "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 } } } } } } } } } } ```