# Live Sports Scores, Fixtures & Results (`goat255/sports-scores-live`) Actor Live and scheduled sports scores, fixtures, and final results across many sports and leagues. One clean row per game with teams, scores, status, and start time. - **URL**: https://apify.com/goat255/sports-scores-live.md - **Developed by:** [Goutam Soni](https://apify.com/goat255) (community) - **Categories:** News - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing $1.00 / 1,000 event returneds 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.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 ## Live Sports Scores, Fixtures & Results Get **live scores, upcoming fixtures, and final results** across many sports and leagues in one clean, structured feed. Give it a list of leagues and it returns one row per game with both team names, the current score, the game state, and the start time. Ideal for live scoreboards, score bots, notification pipelines, and scheduled result collection. ### What it does For each league you list, the actor returns every game currently on the board: - **Live games** with the running score and clock/period detail - **Upcoming fixtures** with scheduled start times - **Final results** with the completed score Pass an optional date to pull a specific day's slate, or leave it empty for today. Run it on a schedule to keep a scores table always up to date. ### Supported leagues Leagues are given as a `sport/league` pair. A few common ones: | Pair | League | |---|---| | `basketball/nba` | Basketball | | `soccer/eng.1` | Top-flight English soccer | | `football/nfl` | American football | | `baseball/mlb` | Baseball | | `hockey/nhl` | Ice hockey | Many more sports and leagues follow the same `sport/league` pattern. ### Input | Field | Type | Default | Notes | |---|---|---|---| | `leagues` | array | `["basketball/nba"]` | One or more `sport/league` pairs | | `date` | string | (today) | Optional single day as `YYYYMMDD`, e.g. `20260614` | | `maxConcurrency` | integer | `5` | How many leagues to fetch in parallel (1–20) | Example input: ```json { "leagues": ["basketball/nba", "soccer/eng.1"], "maxConcurrency": 5 } ```` ### Output One row per game: | Field | Description | |---|---| | `league` | The `sport/league` pair the game belongs to | | `eventId` | Stable identifier for the game | | `name` | Full matchup name (e.g. `Team A at Team B`) | | `shortName` | Compact matchup (e.g. `A @ B`) | | `date` | Scheduled start time (ISO 8601) | | `state` | `pre` (scheduled), `in` (live), or `post` (finished) | | `completed` | `true` once the game is final | | `statusDetail` | Human-readable status (e.g. `Final`, `Halftime`, `7:30 - 2nd`) | | `homeTeam`, `homeScore` | Home side and its score | | `awayTeam`, `awayScore` | Away side and its score | ### Pricing Pay-per-result: you are charged only for each game row returned. Empty responses (no games for a league or date) are free. ### Tips - Schedule the run every few minutes for a near-live scoreboard. - Filter output on `state` to split live games (`in`) from finished ones (`post`). - Scores are `null` for games that have not started yet. # Actor input Schema ## `leagues` (type: `array`): Leagues to fetch, each as a "sport/league" pair. Examples: basketball/nba, soccer/eng.1, football/nfl, baseball/mlb, hockey/nhl. ## `date` (type: `string`): Restrict to a single day in YYYYMMDD format (e.g. 20260614). Leave empty for today's live and scheduled games. ## `maxConcurrency` (type: `integer`): How many leagues to fetch in parallel. ## Actor input object example ```json { "leagues": [ "basketball/nba", "soccer/eng.1" ], "date": "20260614", "maxConcurrency": 5 } ``` # 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": [ "basketball/nba", "soccer/eng.1" ] }; // Run the Actor and wait for it to finish const run = await client.actor("goat255/sports-scores-live").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": [ "basketball/nba", "soccer/eng.1", ] } # Run the Actor and wait for it to finish run = client.actor("goat255/sports-scores-live").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": [ "basketball/nba", "soccer/eng.1" ] }' | apify call goat255/sports-scores-live --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=goat255/sports-scores-live", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Live Sports Scores, Fixtures & Results", "description": "Live and scheduled sports scores, fixtures, and final results across many sports and leagues. One clean row per game with teams, scores, status, and start time.", "version": "0.1", "x-build-id": "vZvaPzFGKQdIoZsYJ" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/goat255~sports-scores-live/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-goat255-sports-scores-live", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/goat255~sports-scores-live/runs": { "post": { "operationId": "runs-sync-goat255-sports-scores-live", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/goat255~sports-scores-live/run-sync": { "post": { "operationId": "run-sync-goat255-sports-scores-live", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": "Leagues to fetch, each as a \"sport/league\" pair. Examples: basketball/nba, soccer/eng.1, football/nfl, baseball/mlb, hockey/nhl.", "default": [ "basketball/nba" ], "items": { "type": "string" } }, "date": { "title": "Date (optional)", "type": "string", "description": "Restrict to a single day in YYYYMMDD format (e.g. 20260614). Leave empty for today's live and scheduled games." }, "maxConcurrency": { "title": "Max concurrency", "minimum": 1, "maximum": 20, "type": "integer", "description": "How many leagues to fetch in parallel.", "default": 5 } } }, "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 } } } } } } } } } } ```