# Statmuse Player Scraper (`lexis-solutions/statmuse-player-scraper`) Actor Scrape Statmuse player stats (sports data) into structured JSON, capturing player profiles, teams, cards and stats tables from Statmuse.com for sports analytics, fantasy tools, dashboards and research. - **URL**: https://apify.com/lexis-solutions/statmuse-player-scraper.md - **Developed by:** [Lexis Solutions](https://apify.com/lexis-solutions) (community) - **Categories:** Lead generation, Social media, AI - **Stats:** 3 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing $29.00/month + usage To use this Actor, you pay a monthly rental fee to the developer. The rent is subtracted from your prepaid usage every month after the free trial period.You also pay for the Apify platform usage, which gets cheaper the higher Apify subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#rental-actors ## 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 ## Statmuse Player Scraper ![banner](https://i.imgur.com/oo1ZdX2.png) Statmuse Player Scraper (statmuse.com) is a sports data scraper for collecting structured player profile and stats-table data from Statmuse player pages. ### Introduction The Statmuse Player scraper starts from Statmuse URLs (query/list pages or direct player pages), follows player links, and extracts structured player data such as name, team, cards sections, and stats tables. ### Use Cases - **Sports research**: Build structured datasets for player comparison and trend tracking. - **Content enrichment**: Add player stats and profile data to sports products and dashboards. - **Monitoring workflows**: Track updates on player pages over time. - **Analytics pipelines**: Feed BI tools, internal warehousing, or downstream automations. ### Input Provide the following fields: - `startUrls` (array, required): Statmuse URLs to start from. - `maxItems` (integer, optional): Maximum number of player items to extract per start URL. - `proxyConfiguration` (object, optional): Apify proxy settings. Notes: - If a `startUrl` is a player URL (`/player/...`), the actor extracts that player page directly. - If a `startUrl` is a query/list page (for example `/ask/...`), the actor collects player links from that page. - Non-Statmuse domains are ignored. - Crawling stops per source URL when `maxItems` is reached. ### Input Examples **1) Start URLs** ```json { "startUrls": [ { "url": "https://www.statmuse.com/nba/ask/most-points-this-season" }, { "url": "https://www.statmuse.com/nba/player/lebron-james-1780" } ], "maxItems": 10, "proxyConfiguration": { "useApifyProxy": true } } ```` ### Output Each dataset item contains fields like: ```json { "name": "LeBron James", "team": "Los Angeles Lakers", "url": "https://www.statmuse.com/nba/player/lebron-james-1780", "originalUrl": "https://www.statmuse.com/nba/ask/most-points-this-season", "cards": { "Per Game": { "pts": "24.8", "reb": "7.8", "ast": "8.2" } }, "tables": { "Game Log": [ { "Date": "2026-01-10", "PTS": "31", "REB": "9", "AST": "7" } ] } } ``` The scraper processes player pages and stops when `maxItems` is reached per start URL or when no more player links are found. ### Why use the Statmuse Player Scraper? - **Focused**: Built specifically for Statmuse player extraction flows. - **Structured output**: Ready-to-use JSON records for automation and analysis. - **Per-URL limits**: `maxItems` is enforced per start URL. - **Flexible input**: Supports both query/list URLs and direct player URLs. - **Apify-native**: Works with Apify datasets, request queue, and proxy config. ### FAQ - **How many players can it extract?**\ Controlled by `maxItems` per source URL. - **Do I need proxies?**\ Not always, but proxies are recommended for larger runs and stability. - **Can I start from a direct player URL?**\ Yes. The actor supports both player URLs and list/query URLs. - **What if Statmuse changes their website structure?**\ The actor may require updates to keep extraction stable. ### Need to scrape other sports platforms? Check out our other scrapers: - [ProCyclingStats](https://apify.com/lexis-solutions/procyclingstats-com-scraper). - [Sportsbet Australia](https://apify.com/lexis-solutions/sportsbet-com-au-scraper). - [LeTrot](https://apify.com/lexis-solutions/letrot-com-scraper). - [Racenet AU](https://apify.com/lexis-solutions/racenet-au-scraper). *** **Need help or want a custom solution?** Lexis Solutions is a certified Apify Partner. We can help with custom data extraction projects. Contact us over [Email](mailto:scraping@lexis.solutions) or [LinkedIn](https://www.linkedin.com/company/lexis-solutions). ### Support Our Work If you're happy with our work and scrapers, you're welcome to leave us a company review [here](https://apify.com/partners/find/lexis-solutions/review) and leave a review for the scrapers you're subscribed to. ### Image Credit Image credit: [statmuse.com](https://www.statmuse.com/). # Actor input Schema ## `startUrls` (type: `array`): Statmuse URLs to start with. ## `maxItems` (type: `integer`): Maximum number of items per original URL. ## `proxyConfiguration` (type: `object`): Your proxy configuration from Apify. ## Actor input object example ```json { "startUrls": [ { "url": "https://www.statmuse.com/nba/ask/most-points-this-season" } ], "maxItems": 10, "proxyConfiguration": { "useApifyProxy": false } } ``` # 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 = { "startUrls": [ { "url": "https://www.statmuse.com/nba/ask/most-points-this-season" } ] }; // Run the Actor and wait for it to finish const run = await client.actor("lexis-solutions/statmuse-player-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 = { "startUrls": [{ "url": "https://www.statmuse.com/nba/ask/most-points-this-season" }] } # Run the Actor and wait for it to finish run = client.actor("lexis-solutions/statmuse-player-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 '{ "startUrls": [ { "url": "https://www.statmuse.com/nba/ask/most-points-this-season" } ] }' | apify call lexis-solutions/statmuse-player-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=lexis-solutions/statmuse-player-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Statmuse Player Scraper", "description": "Scrape Statmuse player stats (sports data) into structured JSON, capturing player profiles, teams, cards and stats tables from Statmuse.com for sports analytics, fantasy tools, dashboards and research.", "version": "1.0", "x-build-id": "35RG76RmUjDP1Lqtd" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/lexis-solutions~statmuse-player-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-lexis-solutions-statmuse-player-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/lexis-solutions~statmuse-player-scraper/runs": { "post": { "operationId": "runs-sync-lexis-solutions-statmuse-player-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/lexis-solutions~statmuse-player-scraper/run-sync": { "post": { "operationId": "run-sync-lexis-solutions-statmuse-player-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "startUrls", "maxItems" ], "properties": { "startUrls": { "title": "Start URLs", "type": "array", "description": "Statmuse URLs to start with.", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "maxItems": { "title": "Maximum number of items", "type": "integer", "description": "Maximum number of items per original URL.", "default": 10 }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Your proxy configuration from Apify.", "default": { "useApifyProxy": false } } } }, "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 } } } } } } } } } } ```