# Sports Data Scraper — Teams, Players & Fixtures (`ponderable_hydrometer/sportsdb-scraper`) Actor Sports data from TheSportsDB — search teams and players, list league teams, and get fixtures and results across football, basketball, NFL and more. Free test key or bring your own. - **URL**: https://apify.com/ponderable\_hydrometer/sportsdb-scraper.md - **Developed by:** [Ponderable Hydrometer](https://apify.com/ponderable_hydrometer) (community) - **Categories:** Developer tools, Automation, SEO tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $1.50 / 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. 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/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 — Teams, Players & Fixtures **Team profiles, player profiles and fixtures/results across football, basketball, NFL, baseball and more — in one actor, six modes.** From TheSportsDB. Free public test key, or bring your own for full rate. Search teams and players, list a whole league's teams, or pull fixtures — a day's events, or a team's next/last matches — all normalized into clean, consistent rows. ### What you get **Teams** (`type: "team"`) — `id`, `name`, `league`, `sport`, `formedYear`, `stadium`, `location`, `country`, `website`, `description`, `badge` **Players** (`type: "player"`) — `id`, `name`, `team`, `sport`, `position`, `nationality`, `birthDate`, `birthLocation`, `height`, `weight`, `thumb` **Events** (`type: "event"`) — `id`, `event`, `league`, `sport`, `season`, `date`, `time`, `homeTeam`, `awayTeam`, `homeScore`, `awayScore`, `venue`, `status` ### Output sample ```json { "type": "team", "id": "133604", "name": "Arsenal", "league": "English Premier League", "sport": "Soccer", "formedYear": "1886", "stadium": "Emirates Stadium", "location": "London, England", "country": "England", "website": "www.arsenal.com", "description": "Arsenal Football Club is a professional football club…", "badge": "https://www.thesportsdb.com/images/media/team/badge/….png" } ```` ### Modes - **search-team** — search teams by name (`teams`). - **search-player** — search players by name (`players`). - **league-teams** — every team in a league (`league`). - **events-day** — all fixtures on a `date`, optionally filtered by `sport`. - **team-next** / **team-last** — a team's upcoming or most recent matches (`teamIds`). ### Input | Field | Type | Default | Description | |-------|------|---------|-------------| | `mode` | string | `search-team` | One of the six modes above | | `teams` | array | `["Arsenal"]` | Team names (search-team) | | `players` | array | — | Player names (search-player) | | `league` | string | — | League name (league-teams) | | `teamIds` | array | — | TheSportsDB team IDs (team-next/team-last) | | `date` | string | — | `YYYY-MM-DD` (events-day) | | `sport` | string | — | Optional sport filter (events-day) | | `apiKey` | string (secret) | `3` (test key) | Your TheSportsDB key | | `maxResults` | integer | `100` | Cap for list modes | ### Example input ```json { "mode": "search-team", "teams": ["Arsenal", "Real Madrid", "Lakers"] } ``` Fixtures on a date: ```json { "mode": "events-day", "date": "2026-08-01", "sport": "Soccer" } ``` ### Why this actor - **Six modes, one shape** — teams, players and fixtures normalized consistently. - **Multi-sport** — football/soccer, basketball, NFL, baseball and more. - **Media included** — team badges and player thumbnails for app UIs. - Works with the **free test key** out of the box; add your own for full rate. ### Pricing Pay per result — **$1.50 per 1,000 results** (one team/player/event = one result). No subscription or platform fees. ### Related actors - **TVMaze Scraper** — TV schedules, episodes and cast. - **App Store Scraper** — mobile app catalogs and rankings. - **Steam Scraper** — game catalog and pricing. ### Notes & limits - Data is TheSportsDB's API. The default public test key `"3"` is rate-limited — **add your own free key** (kept secret) for full throughput and premium endpoints. - Field completeness varies by team/player/sport (some profiles are sparse). - This actor is an independent tool, not affiliated with or endorsed by TheSportsDB. # Actor input Schema ## `mode` (type: `string`): What to fetch: search-team, search-player, league-teams, events-day (fixtures on a date), team-next, team-last. ## `teams` (type: `array`): Team names to search, e.g. \["Arsenal","Real Madrid"]. ## `players` (type: `array`): Player names to search, e.g. \["Harry Kane","LeBron James"]. ## `league` (type: `string`): League name, e.g. "English Premier League", "NBA". ## `teamIds` (type: `array`): TheSportsDB team IDs, e.g. \["133604" (Arsenal)]. Get IDs from search-team. ## `date` (type: `string`): Date for fixtures, YYYY-MM-DD, e.g. "2026-08-01". ## `sport` (type: `string`): Optional sport filter for events-day, e.g. "Soccer", "Basketball", "American Football". ## `apiKey` (type: `string`): Your TheSportsDB key. Leave empty to use the free public test key "3" (limited). Kept secret. ## `maxResults` (type: `integer`): Cap for list modes (league-teams / events-day). ## Actor input object example ```json { "mode": "search-team", "teams": [ "Arsenal" ], "maxResults": 100 } ``` # 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 = { "teams": [ "Arsenal" ] }; // Run the Actor and wait for it to finish const run = await client.actor("ponderable_hydrometer/sportsdb-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 = { "teams": ["Arsenal"] } # Run the Actor and wait for it to finish run = client.actor("ponderable_hydrometer/sportsdb-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 '{ "teams": [ "Arsenal" ] }' | apify call ponderable_hydrometer/sportsdb-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=ponderable_hydrometer/sportsdb-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Sports Data Scraper — Teams, Players & Fixtures", "description": "Sports data from TheSportsDB — search teams and players, list league teams, and get fixtures and results across football, basketball, NFL and more. Free test key or bring your own.", "version": "0.1", "x-build-id": "pcv84npx3AyQWTsqK" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/ponderable_hydrometer~sportsdb-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-ponderable_hydrometer-sportsdb-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/ponderable_hydrometer~sportsdb-scraper/runs": { "post": { "operationId": "runs-sync-ponderable_hydrometer-sportsdb-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/ponderable_hydrometer~sportsdb-scraper/run-sync": { "post": { "operationId": "run-sync-ponderable_hydrometer-sportsdb-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": { "mode": { "title": "Mode", "enum": [ "search-team", "search-player", "league-teams", "events-day", "team-next", "team-last" ], "type": "string", "description": "What to fetch: search-team, search-player, league-teams, events-day (fixtures on a date), team-next, team-last.", "default": "search-team" }, "teams": { "title": "Team names (search-team)", "type": "array", "description": "Team names to search, e.g. [\"Arsenal\",\"Real Madrid\"].", "items": { "type": "string" } }, "players": { "title": "Player names (search-player)", "type": "array", "description": "Player names to search, e.g. [\"Harry Kane\",\"LeBron James\"].", "items": { "type": "string" } }, "league": { "title": "League (league-teams)", "type": "string", "description": "League name, e.g. \"English Premier League\", \"NBA\"." }, "teamIds": { "title": "Team IDs (team-next / team-last)", "type": "array", "description": "TheSportsDB team IDs, e.g. [\"133604\" (Arsenal)]. Get IDs from search-team.", "items": { "type": "string" } }, "date": { "title": "Date (events-day)", "type": "string", "description": "Date for fixtures, YYYY-MM-DD, e.g. \"2026-08-01\"." }, "sport": { "title": "Sport filter (events-day)", "type": "string", "description": "Optional sport filter for events-day, e.g. \"Soccer\", \"Basketball\", \"American Football\"." }, "apiKey": { "title": "TheSportsDB API key", "type": "string", "description": "Your TheSportsDB key. Leave empty to use the free public test key \"3\" (limited). Kept secret." }, "maxResults": { "title": "Max results", "minimum": 1, "type": "integer", "description": "Cap for list modes (league-teams / events-day).", "default": 100 } } }, "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 } } } } } } } } } } ```