# Sports Scores, Fixtures & Standings Scraper (`scrapemint/sports-scores-scraper`) Actor Get game scores, upcoming fixtures, results and league standings as clean rows. Covers world soccer (Premier League, La Liga, Champions League and dozens more) plus NBA, NFL, MLB, NHL, college sports and cricket. One row per game or per team. No API key needed. - **URL**: https://apify.com/scrapemint/sports-scores-scraper.md - **Developed by:** [Ken M](https://apify.com/scrapemint) (community) - **Categories:** News, Business - **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/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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 Scores, Fixtures & Standings Scraper Get **game scores, upcoming fixtures, final results and league tables** as clean rows, ready for your app, bot, spreadsheet or dashboard. Covers world soccer (Premier League, La Liga, Serie A, Bundesliga, Champions League, MLS and dozens more) plus **NBA, WNBA, NFL, MLB, NHL, college sports and cricket**. Built for **sports app and Discord bot builders, fantasy tools, newsletters, bettors and analysts**. Schedule it daily and always have yesterday's results and today's fixtures; or pull a whole month of results for any league in one run. ### What you get for each game - **teams**: home and away names and short codes - **scores**: home and away, live or final, plus the winner - **when and where**: kickoff or tipoff time, venue and city - **status**: scheduled, live (with game clock) or final Standings mode gives one row per team instead: rank, games played, wins, losses, points and the full stat line, with conference and division groups kept. ### Example output ```json { "league": "nba", "leagueName": "National Basketball Association", "gameId": "401766123", "name": "New York Knicks at San Antonio Spurs", "date": "2026-07-14T00:00Z", "status": "Final", "completed": true, "homeTeam": "San Antonio Spurs", "homeScore": 90, "awayTeam": "New York Knicks", "awayScore": 94, "winner": "New York Knicks", "venue": "Frost Bank Center", "city": "San Antonio" } ```` ### Which leagues work? Common names work out of the box: `epl`, `laliga`, `seriea`, `bundesliga`, `ligue1`, `ucl`, `mls`, `nba`, `wnba`, `nfl`, `mlb`, `nhl`, `ncaaf`, `ncaab`. Every other league on ESPN works as `sport/league`, for example: - `soccer/bra.1` — Brazilian Serie A - `soccer/ken.1` — Kenyan Premier League - `soccer/arg.1` — Argentine Liga Profesional - `cricket/8048` — Indian Premier League ### Dates Leave the dates empty to get the **current slate** (recent and upcoming games). Or set a from/to date to pull history or a future schedule, up to 31 days per run: post-game results appear within minutes of the final whistle. ### Pricing **$0.003 per game or standings row.** Unknown league ids and days with no games are **free**, and the first 2 rows of every run are free. A full MLB day (15 games) costs about $0.05; a month of Premier League results costs about $0.11. ### How to run it via API ```bash curl -X POST "https://api.apify.com/v2/acts/scrapemint~sports-scores-scraper/run-sync-get-dataset-items?token=YOUR_TOKEN" \ -H "Content-Type: application/json" \ -d '{"leagues": ["epl", "nba"], "dataType": "scores", "startDate": "2026-07-01", "endDate": "2026-07-14"}' ``` ### Frequently asked questions **Are live scores really live?** Rows reflect the moment the run executes, including the game clock for games in progress. Schedule runs as often as you need; each run fetches fresh data. **Can I get betting odds too?** That is a separate tool: [Sports Odds Scraper](https://apify.com/scrapemint/sports-odds-scraper). This one focuses on schedules, scores and tables. **What about player stats?** Not in this version. It covers games and standings; player box scores may come later if people ask. **Where does the data come from?** ESPN's public website feeds, the same data shown on their scoreboard pages. ### More tools from Scrapemint - [Sports Odds Scraper](https://apify.com/scrapemint/sports-odds-scraper): betting odds for upcoming games. - [Streaming Availability Scraper](https://apify.com/scrapemint/streaming-availability-scraper): where to watch movies and shows. - [Google News Scraper](https://apify.com/scrapemint/google-news-scraper): news coverage for any team or topic. # Actor input Schema ## `leagues` (type: `array`): One league per line. Common names work: epl, laliga, seriea, bundesliga, ligue1, ucl, mls, nba, wnba, nfl, mlb, nhl. Any other ESPN league works as sport/league, e.g. soccer/ken.1 (Kenyan Premier League), soccer/bra.1, cricket/8048 (IPL), basketball/mens-college-basketball. ## `dataType` (type: `string`): Scores and fixtures gives one row per game. Standings gives one row per team in the league table. ## `startDate` (type: `string`): First day to fetch games for, YYYY-MM-DD. Leave empty for the current slate (recent and upcoming games). Ignored for standings. ## `endDate` (type: `string`): Last day to fetch games for, YYYY-MM-DD. Leave empty to fetch a single day. Ranges are capped at 31 days per run. Ignored for standings. ## `maxRows` (type: `integer`): Stop after this many rows in total (protects your budget on long date ranges). ## Actor input object example ```json { "leagues": [ "mlb", "epl", "mls", "nba", "laliga" ], "dataType": "scores", "maxRows": 500 } ``` # 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": [ "mlb", "epl", "mls", "nba", "laliga" ] }; // Run the Actor and wait for it to finish const run = await client.actor("scrapemint/sports-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 = { "leagues": [ "mlb", "epl", "mls", "nba", "laliga", ] } # Run the Actor and wait for it to finish run = client.actor("scrapemint/sports-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 '{ "leagues": [ "mlb", "epl", "mls", "nba", "laliga" ] }' | apify call scrapemint/sports-scores-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=scrapemint/sports-scores-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Sports Scores, Fixtures & Standings Scraper", "description": "Get game scores, upcoming fixtures, results and league standings as clean rows. Covers world soccer (Premier League, La Liga, Champions League and dozens more) plus NBA, NFL, MLB, NHL, college sports and cricket. One row per game or per team. No API key needed.", "version": "0.1", "x-build-id": "7DSxXXikEMVurAOsW" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/scrapemint~sports-scores-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-scrapemint-sports-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/scrapemint~sports-scores-scraper/runs": { "post": { "operationId": "runs-sync-scrapemint-sports-scores-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/scrapemint~sports-scores-scraper/run-sync": { "post": { "operationId": "run-sync-scrapemint-sports-scores-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "leagues" ], "properties": { "leagues": { "title": "Leagues", "type": "array", "description": "One league per line. Common names work: epl, laliga, seriea, bundesliga, ligue1, ucl, mls, nba, wnba, nfl, mlb, nhl. Any other ESPN league works as sport/league, e.g. soccer/ken.1 (Kenyan Premier League), soccer/bra.1, cricket/8048 (IPL), basketball/mens-college-basketball.", "items": { "type": "string" } }, "dataType": { "title": "What to fetch", "enum": [ "scores", "standings" ], "type": "string", "description": "Scores and fixtures gives one row per game. Standings gives one row per team in the league table.", "default": "scores" }, "startDate": { "title": "From date", "type": "string", "description": "First day to fetch games for, YYYY-MM-DD. Leave empty for the current slate (recent and upcoming games). Ignored for standings." }, "endDate": { "title": "To date", "type": "string", "description": "Last day to fetch games for, YYYY-MM-DD. Leave empty to fetch a single day. Ranges are capped at 31 days per run. Ignored for standings." }, "maxRows": { "title": "Max rows", "minimum": 1, "maximum": 20000, "type": "integer", "description": "Stop after this many rows in total (protects your budget on long date ranges).", "default": 500 } } }, "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 } } } } } } } } } } ```