# ESPN Sports Data Scraper — NBA, NFL, MLB, F1, Soccer & more (`straightforward_hydra/sports-data-scraper`) Actor Games, live scores, standings, teams & rosters across 16 leagues (NBA, NFL, MLB, F1, NHL, top soccer leagues, IPL/BBL cricket, Six Nations, NRL, AFL Aussie Rules) via ESPN. Keyless. Pick one or many per run. - **URL**: https://apify.com/straightforward\_hydra/sports-data-scraper.md - **Developed by:** [Dev D](https://apify.com/straightforward_hydra) (community) - **Categories:** Developer tools, Automation, Other - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $5.00 / 1,000 sports rows 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 web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows. 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 Data Scraper — NBA, NFL, MLB, Soccer, Cricket & More 🏆 **Games and live scores, standings, teams and rosters across 20 major leagues — from ESPN's public API. Pick one or many leagues per run. No API key.** One actor for the whole sports world: US majors, top European soccer, and cricket. Perfect for **sports apps, fantasy tools, betting models, dashboards and datasets**. --- ### Leagues | Sport | Leagues | |---|---| | 🏀 Basketball | `nba`, `wnba`, `ncaab` | | 🏈 Football | `nfl`, `ncaaf` | | ⚾ Baseball | `mlb` | | 🏒 Hockey | `nhl` | | ⚽ Soccer | `epl`, `laliga`, `seriea`, `bundesliga`, `ligue1`, `ucl`, `mls` | | 🏏 Cricket | `ipl`, `bbl` *(scoreboard & standings only)* | | 🏉 Rugby / AFL | `sixnations`, `nrl`, `afl` | | 🏎️ Motorsport | `f1` *(races + driver championship + constructors; no roster)* | ### Modes | Mode | What you get | |---|---| | **scoreboard** | Games for today (or a date): teams, live/final scores, status, records, venue. | | **standings** | League/conference standings: wins, losses, win %, points, rank/seed. | | **teams** | Every team in the league (name, abbreviation, colors, logo, venue). | | **roster** | Players on a team (position, jersey, age, height, college/nationality). | Every row is tagged with its `league`, so multi-league runs stay organized. ### Examples **Today's NBA + NFL games** ```json { "leagues": ["nba", "nfl"], "mode": "scoreboard" } ```` **Premier League standings** ```json { "leagues": ["epl"], "mode": "standings" } ``` **IPL matches on a date** ```json { "leagues": ["ipl"], "mode": "scoreboard", "date": "2026-04-15" } ``` **F1 driver championship** ```json { "leagues": ["f1"], "mode": "standings" } ``` **A team's roster** ```json { "leagues": ["nfl"], "mode": "roster", "team": "KC" } ``` ### Notes - **No API key, no proxy.** Uses ESPN's public JSON endpoints. - **`team`** accepts an abbreviation (`LAL`, `KC`, `ARS`…) or a numeric ESPN team id. - **`date`** is `YYYY-MM-DD`; blank = today. Pass an in-season date for leagues not playing today. - **Cricket (IPL/BBL)** supports **scoreboard and standings** only — ESPN has no teams/roster endpoint for cricket; those modes are skipped for it. - **F1** supports **scoreboard** (races + winner), **standings** (driver championship) and **teams** (constructors) — no roster. - **AFL** supports scoreboard, teams and rosters; ESPN does not expose an AFL ladder, so **standings returns nothing** for it. - Data belongs to ESPN / the leagues; use responsibly. *** #### Keywords sports data, NBA, NFL, MLB, NHL, soccer, football, cricket, IPL, BBL, Premier League, La Liga, Champions League, scores, live scores, standings, teams, rosters, fantasy, betting, ESPN, no API key. # Actor input Schema ## `leagues` (type: `array`): One or more leagues to fetch. Basketball: nba, wnba, ncaab. Football: nfl, ncaaf. Baseball: mlb. Hockey: nhl. Soccer: epl, laliga, seriea, bundesliga, ligue1, ucl, mls. Cricket: ipl, bbl (scoreboard/standings only). Rugby/AFL: afl, sixnations, nrl. Motorsport: f1 (races + driver standings + constructors; no roster). ## `mode` (type: `string`): What to fetch. teams/roster are not available for cricket. ## `date` (type: `string`): Day of games as YYYY-MM-DD (e.g. "2026-04-15"). Leave blank for today. Pass an in-season date for leagues that aren't playing today. ## `team` (type: `string`): Team abbreviation (e.g. "LAL", "KC", "ARS") or numeric ESPN team id. Required for roster mode. ## Actor input object example ```json { "leagues": [ "nba" ], "mode": "scoreboard" } ``` # 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("straightforward_hydra/sports-data-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 = {} # Run the Actor and wait for it to finish run = client.actor("straightforward_hydra/sports-data-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 '{}' | apify call straightforward_hydra/sports-data-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=straightforward_hydra/sports-data-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "ESPN Sports Data Scraper — NBA, NFL, MLB, F1, Soccer & more", "description": "Games, live scores, standings, teams & rosters across 16 leagues (NBA, NFL, MLB, F1, NHL, top soccer leagues, IPL/BBL cricket, Six Nations, NRL, AFL Aussie Rules) via ESPN. Keyless. Pick one or many per run.", "version": "0.1", "x-build-id": "qzzxvcOY8zQjecoq7" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/straightforward_hydra~sports-data-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-straightforward_hydra-sports-data-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/straightforward_hydra~sports-data-scraper/runs": { "post": { "operationId": "runs-sync-straightforward_hydra-sports-data-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/straightforward_hydra~sports-data-scraper/run-sync": { "post": { "operationId": "run-sync-straightforward_hydra-sports-data-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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 or more leagues to fetch. Basketball: nba, wnba, ncaab. Football: nfl, ncaaf. Baseball: mlb. Hockey: nhl. Soccer: epl, laliga, seriea, bundesliga, ligue1, ucl, mls. Cricket: ipl, bbl (scoreboard/standings only). Rugby/AFL: afl, sixnations, nrl. Motorsport: f1 (races + driver standings + constructors; no roster).", "items": { "type": "string", "enum": [ "nba", "wnba", "ncaab", "nfl", "ncaaf", "mlb", "nhl", "epl", "laliga", "seriea", "bundesliga", "ligue1", "ucl", "mls", "ipl", "bbl", "afl", "sixnations", "nrl", "f1" ], "enumTitles": [ "NBA", "WNBA", "NCAA Basketball (M)", "NFL", "NCAA Football", "MLB", "NHL", "Premier League", "La Liga", "Serie A", "Bundesliga", "Ligue 1", "Champions League", "MLS", "IPL (cricket)", "Big Bash (cricket)", "AFL", "Six Nations (rugby)", "NRL (rugby league)", "Formula 1" ] }, "default": [ "nba" ] }, "mode": { "title": "Mode", "enum": [ "scoreboard", "standings", "teams", "roster" ], "type": "string", "description": "What to fetch. teams/roster are not available for cricket.", "default": "scoreboard" }, "date": { "title": "Date (scoreboard mode)", "type": "string", "description": "Day of games as YYYY-MM-DD (e.g. \"2026-04-15\"). Leave blank for today. Pass an in-season date for leagues that aren't playing today." }, "team": { "title": "Team (roster mode)", "type": "string", "description": "Team abbreviation (e.g. \"LAL\", \"KC\", \"ARS\") or numeric ESPN team id. Required for roster mode." } } }, "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 } } } } } } } } } } ```