# Hmhshl-Players-Stats-Scraper (`getdataforme/hmhshl-players-stats-scraper`) Actor Extract comprehensive player statistics from the Hockey Manitoba High School League (HMHSL), including goals, assists, points, and penalties across seasons from 2008-2009 to 2025-2026.... - **URL**: https://apify.com/getdataforme/hmhshl-players-stats-scraper.md - **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community) - **Categories:** Lead generation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $9.00 / 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.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 ## Hmhshl Players Stats Scraper ### Introduction The Hmhshl Players Stats Scraper is a powerful Apify Actor designed to extract comprehensive player statistics from the Hockey Manitoba High School League (HMHSL) website. It enables users to gather detailed performance data for players across various seasons and sub-seasons, making it an invaluable tool for coaches, analysts, and sports enthusiasts. By automating data collection, this Actor saves time and ensures access to accurate, up-to-date stats for informed decision-making. ### Features - **Comprehensive Data Extraction**: Scrapes detailed player stats including goals, assists, points, penalties, and more from HMHSL seasons. - **Flexible Season Selection**: Supports multiple seasons from 2008-2009 to 2025-2026, with sub-season options like Regular Season, Playoffs, and Championships. - **High Performance**: Efficient crawling with configurable request limits to handle large datasets without overloading sources. - **Structured Output**: Delivers clean, JSON-formatted data ready for analysis, export, or integration into databases. - **Reliable and Ethical**: Adheres to web scraping best practices, respecting rate limits and avoiding disruptions to the source site. - **Easy Integration**: Seamlessly integrates with Apify's platform for scheduling, monitoring, and exporting results in multiple formats. ### Input Parameters | Parameter | Type | Required | Description | Example | |-----------|------|----------|-------------|---------| | seasonId | string | Yes | Select the season to crawl from available options (e.g., "2954" for 2025-2026). | "2954" | | subseasonId | string | Yes | Choose the sub-season type, such as Regular Season or Playoffs, from the dropdown. | "16404" | | maxRequestsPerCrawl | integer | No | Maximum number of requests allowed per crawl to control load and avoid rate limiting. Default is 100. | 100 | ### Example Usage To run the Actor, provide input parameters in JSON format: ```json { "seasonId": "2954", "subseasonId": "16404", "maxRequestsPerCrawl": 100 } ```` Example output (array of player stats): ```json [ { "position_name": "Defense", "position_short_name": "D", "workspace_id": 6, "team_season_player_number": 22, "player_first_name": "London", "player_last_name": "Oppong", "player_id": 65932, "team_name": "Woodlawn Panthers", "team_id": 151, "team_url": "woodlawn", "team_logo_image_id": 8568, "player_square_image_id": 38125, "team_season_player_avatar": "hockey-player-m2.png", "team_season_player_use_avatar": 0, "team_sys_admin_hide_team": 0, "gp": 3, "goals": 1, "assists": 4, "points": 5, "ppg": 0, "shg": 0, "pims": 14 } ] ``` ### Use Cases - **Sports Analytics**: Analyze player performance trends to scout talent or evaluate team strategies. - **Coaching Tools**: Access stats for player development, lineup decisions, and training focus. - **Fan Engagement**: Build apps or websites with live stats for leagues, teams, or players. - **Research and Reporting**: Gather data for academic studies on youth hockey participation and outcomes. - **Fantasy Sports**: Populate databases with real stats for fantasy leagues or simulations. - **Media and Journalism**: Compile reports on standout players or season highlights. ### Installation and Usage 1. Search for "Hmhshl Players Stats Scraper" in the Apify Store. 2. Click "Try for free" or "Run". 3. Configure input parameters (season, sub-season, max requests). 4. Click "Start" to begin extraction. 5. Monitor progress in the log. 6. Export results in your preferred format (JSON, CSV, Excel). ### Output Format The Actor outputs an array of JSON objects, each representing a player's stats for the selected season and sub-season. Key fields include player details (name, ID, position), team information (name, logo), and performance metrics (games played, goals, assists, points, penalties). Data is structured for easy parsing and integration, with fields like "gp" (games played) and "pims" (penalty minutes) providing quantitative insights. ### Support For custom/simplified outputs or bug reports, please contact: - Email: support@getdataforme.com - Subject line: "custom support" - Contact form: https://getdataforme.com/contact/ We're here to help you get the most out of this Actor! *** Extract player stats from HMHSL effortlessly! This Actor scrapes goals, assists, points, and more across seasons like 2025-2026. Ideal for coaches, analysts, and fansβ€”get accurate data fast. Try it now on Apify Store! (148 characters) # Actor input Schema ## `seasonId` (type: `string`): Select the season to crawl. ## `subseasonId` (type: `string`): Select the sub-season type to crawl. ## `maxRequestsPerCrawl` (type: `integer`): Maximum number of requests that can be made by this crawler. ## Actor input object example ```json { "seasonId": "2954", "subseasonId": "16404", "maxRequestsPerCrawl": 100 } ``` # Actor output Schema ## `results` (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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("getdataforme/hmhshl-players-stats-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`πŸ’Ύ 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); }); // πŸ“š Want to learn more πŸ“–? Go to β†’ 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("getdataforme/hmhshl-players-stats-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{}' | apify call getdataforme/hmhshl-players-stats-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=getdataforme/hmhshl-players-stats-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Hmhshl-Players-Stats-Scraper", "description": "Extract comprehensive player statistics from the Hockey Manitoba High School League (HMHSL), including goals, assists, points, and penalties across seasons from 2008-2009 to 2025-2026....", "version": "0.0", "x-build-id": "TlNoRwdNg57hh9dv5" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/getdataforme~hmhshl-players-stats-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-getdataforme-hmhshl-players-stats-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/getdataforme~hmhshl-players-stats-scraper/runs": { "post": { "operationId": "runs-sync-getdataforme-hmhshl-players-stats-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/getdataforme~hmhshl-players-stats-scraper/run-sync": { "post": { "operationId": "run-sync-getdataforme-hmhshl-players-stats-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "seasonId": { "title": "Season", "enum": [ "2954", "1862", "820", "376", "175", "28", "40", "39", "38", "37", "36", "35", "34", "33", "32", "31", "30", "29" ], "type": "string", "description": "Select the season to crawl.", "default": "2954" }, "subseasonId": { "title": "Sub-Season", "enum": [ "20088", "16408", "16405", "16404", "14072", "9774", "9773", "9776", "8244", "8243", "3758", "3760", "8115", "3757", "3059", "821", "818", "633", "577", "316", "90", "51", "89", "88", "87", "86", "85", "84", "83", "82", "81", "80", "79", "78", "77", "76", "75", "74", "73", "72", "71", "70", "69", "68", "67", "66", "65", "64", "63", "62", "61", "60", "59", "58", "57", "56", "55", "54", "53", "52" ], "type": "string", "description": "Select the sub-season type to crawl.", "default": "16404" }, "maxRequestsPerCrawl": { "title": "Max Requests per Crawl", "type": "integer", "description": "Maximum number of requests that can be made by this crawler.", "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 } } } } } } } } } } ```