# Golfstatus Profile Scraper (`getdataforme/golfstatus-profile-scraper`) Actor Extract comprehensive golf event data from Golfstatus.com with this Apify Actor. Scrape event details, registration info, facility profiles, and tee configurations for market research, competitive analysis, and planning. Delivers structured JSON output efficiently.... - **URL**: https://apify.com/getdataforme/golfstatus-profile-scraper.md - **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community) - **Categories:** Automation, Lead generation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 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 ## Golfstatus Profile Scraper ### Introduction The Golfstatus Profile Scraper is a powerful Apify Actor designed to extract detailed information from golf event profiles on Golfstatus.com. It automates the collection of event data, including dates, registration details, facility information, and tee configurations, enabling users to gather comprehensive insights efficiently. This tool is ideal for golf enthusiasts, event organizers, and analysts seeking accurate, structured data for research, planning, or competitive analysis. ### Features - **Comprehensive Data Extraction**: Scrapes key event details such as name, dates, registration status, team counts, costs, and scoring formats. - **Facility and Organization Insights**: Captures detailed information about hosting organizations and golf facilities, including addresses, contact info, and course specifics. - **Tee Configuration Details**: Extracts tee box data like par, yards, slope, and rating for various genders and difficulty levels. - **Reliable and Structured Output**: Delivers clean JSON data with consistent formatting, ensuring easy integration into databases or analysis tools. - **High Performance**: Built on CheerioCrawler for fast, efficient scraping with minimal resource usage. - **Error Handling**: Includes robust mechanisms to handle site changes or temporary issues, with clear logging for troubleshooting. - **Scalable for Multiple Events**: Supports batch processing of multiple start URLs for large-scale data collection. ### Input Parameters | Parameter | Type | Required | Description | Example | |-----------|--------|----------|-------------|---------| | startUrls | array | Yes | An array of URLs pointing to Golfstatus event pages to scrape. Each URL should be a valid event profile link. | [{"url": "https://events.golfstatus.com/event/lt-lacrosse-annual-golf-tournament"}] | ### Example Usage To run the Actor, provide the input parameters in JSON format. Here's an example input: ```json { "startUrls": [ { "url": "https://events.golfstatus.com/event/lt-lacrosse-annual-golf-tournament" } ] } ```` The Actor will process the URLs and output structured data. An example output for the above input is: ```json [ { "name": "LT Lacrosse Annual Golf Tournament", "startAt": "2026-03-23T14:00:00.000Z", "endAt": "2026-03-23T14:00:00.000Z", "state": "active", "registrationClosed": false, "openRegistration": true, "registrationCloseAt": "2026-03-23T04:59:00.000Z", "teamsRegistered": 10, "totalTeams": 30, "teamsAvailable": 20, "costFoursome": 1600, "numberOfRounds": 1, "numberOfPlayers": 4, "scoringType": "team", "handicapScoring": false, "organization": { "name": "LT Lacrosse" }, "facility": { "name": "The Hills Country Club", "address": "26 Club Estates Pkwy", "city": "Austin", "state": "TX", "postal": "78738", "country": "USA", "website": "https://www.invitedclubs.com/clubs/the-hills-country-club", "phone": "(512) 261-7272", "holes": 36 }, "format": { "name": "Four Person Scramble", "description": "Each player hits, and the team plays from the best position. Only the team score is recorded.", "scoringFormat": "scramble", "numberOfPlayers": 4 }, "tees": [ { "name": "Black", "gender": "male", "par": 72, "yards": 7051, "slope": 145, "rating": 74.8 }, { "name": "Gold", "gender": "male", "par": 72, "yards": 6771, "slope": 142, "rating": 73.3 }, { "name": "Blue", "gender": "male", "par": 72, "yards": 6419, "slope": 138, "rating": 72.1 }, { "name": "Combo", "gender": "male", "par": 72, "yards": 6122, "slope": 137, "rating": 70 }, { "name": "White", "gender": "male", "par": 72, "yards": 5871, "slope": 136, "rating": 69 }, { "name": "Red", "gender": "female", "par": 72, "yards": 5089, "slope": 126, "rating": 69.8 } ] } ] ``` ### Use Cases - **Market Research**: Analyze trends in golf event pricing, popularity, and formats to inform business strategies. - **Competitive Intelligence**: Monitor rival events for registration numbers, costs, and facility choices. - **Price Monitoring**: Track changes in foursome costs and team availability for budgeting purposes. - **Content Aggregation**: Build databases of golf events for websites, apps, or newsletters. - **Academic Research**: Study golf participation patterns, including gender-specific tee usage and scoring types. - **Business Automation**: Automate data collection for event planning agencies or golf course operators. ### Installation and Usage 1. Search for "Golfstatus Profile Scraper" in the Apify Store 2. Click "Try for free" or "Run" 3. Configure input parameters 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 output is an array of JSON objects, each representing a scraped event. Key fields include event metadata (name, dates, state), registration details (teams registered, costs), organization and facility info (name, address, contact), format specifics (scoring type, player count), and tee configurations (par, yards, slope, rating). Data is structured for easy parsing and integration. ### 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! *** ### PART 2: Concise Description Unlock comprehensive golf event data with Golfstatus Profile Scraper! Extract event details, registration info, facility profiles, and tee configurations effortlessly. Perfect for market research, competitive analysis, and event planning. Reliable, fast, and structured JSON output. Start scraping today on Apify Store! (148 characters) # Actor input Schema ## `startUrls` (type: `array`): URLs to start with. ## Actor input object example ```json { "startUrls": [ { "url": "https://events.golfstatus.com/event/lt-lacrosse-annual-golf-tournament" } ] } ``` # 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 = { "startUrls": [ { "url": "https://events.golfstatus.com/event/lt-lacrosse-annual-golf-tournament" } ] }; // Run the Actor and wait for it to finish const run = await client.actor("getdataforme/golfstatus-profile-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://events.golfstatus.com/event/lt-lacrosse-annual-golf-tournament" }] } # Run the Actor and wait for it to finish run = client.actor("getdataforme/golfstatus-profile-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://events.golfstatus.com/event/lt-lacrosse-annual-golf-tournament" } ] }' | apify call getdataforme/golfstatus-profile-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=getdataforme/golfstatus-profile-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Golfstatus Profile Scraper", "description": "Extract comprehensive golf event data from Golfstatus.com with this Apify Actor. Scrape event details, registration info, facility profiles, and tee configurations for market research, competitive analysis, and planning. Delivers structured JSON output efficiently....", "version": "0.0", "x-build-id": "Qz7B4H5AehcghExB8" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/getdataforme~golfstatus-profile-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-getdataforme-golfstatus-profile-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/getdataforme~golfstatus-profile-scraper/runs": { "post": { "operationId": "runs-sync-getdataforme-golfstatus-profile-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/getdataforme~golfstatus-profile-scraper/run-sync": { "post": { "operationId": "run-sync-getdataforme-golfstatus-profile-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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" ], "properties": { "startUrls": { "title": "Start URLs", "type": "array", "description": "URLs to start with.", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } } } }, "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 } } } } } } } } } } ```