# Golfstatus Discovery Scraper (`getdataforme/golfstatus-discovery-scraper`) Actor Effortlessly scrape golf tournament data from Golfstatus.com with this Apify Actor. Extract event details, registrations, costs, and more via keyword search. Features include flexible limits, real-time JSON output, and high-performance scraping.... - **URL**: https://apify.com/getdataforme/golfstatus-discovery-scraper.md - **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community) - **Categories:** Automation, Lead generation - **Stats:** 4 total users, 0 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 Discovery Scraper ### Introduction The Golfstatus Discovery Scraper is a powerful Apify Actor designed to extract detailed tournament data from Golfstatus.com. It enables users to search and scrape golf tournament information efficiently, providing structured data on events, registrations, and more. This tool is ideal for researchers, marketers, and businesses needing reliable golf event insights without manual browsing. ### Features - **Comprehensive Tournament Data**: Scrapes key details like event names, descriptions, dates, registration status, and costs. - **Flexible Search**: Supports keyword-based queries to find specific tournaments quickly. - **High-Performance Scraping**: Handles large volumes of data with efficient pagination and error resilience. - **Structured JSON Output**: Delivers clean, machine-readable data for easy integration into workflows. - **Customizable Limits**: Allows setting maximum items to scrape, optimizing for speed and resource usage. - **Real-Time Data**: Captures up-to-date information, including registration numbers and event states. - **Apify Integration**: Seamlessly runs on the Apify platform with built-in monitoring and export options. ### Input Parameters | Parameter | Type | Required | Description | Example | |-------------|---------|----------|-----------------------------------------------------------------------------|------------------| | searchQuery | string | Yes | Search keyword to find tournaments (e.g., event names or locations). | "a" | | maxItems | integer | No | Maximum number of tournaments to scrape (default: 100). | 50 | ### Example Usage #### Input ```json { "searchQuery": "golf fundraiser", "maxItems": 10 } ```` #### Output ```json [ { "id": "809783a2-06b8-4191-b481-b34e89a7eb00", "name": "3rd Annual ADAPT Foundation Golf Fundraiser", "description": "The ADAPT Foundation is dedicated to fostering a healthy, supportive environment where under-resourced local youth, ages 8 through 17, can thrive. We provide impactful youth development programs with a primary focus on overall wellness. Our core emphasis is on building physical and mental strength and conditioning through a dynamic variety of sports programs. Beyond fitness, we integrate social development through partner and group exercises that instill essential values of teamwork and cooperation. In collaboration with several discipline-specific partner organizations, we offer kids and teens a diverse range of activities, helping them to fall in love with movement and build a strong foundation for lifelong growth and wellness", "start-at": "2026-03-13T17:00:00.000Z", "end-at": "2026-03-13T17:00:00.000Z", "created-at": "2026-02-02T16:49:31.516Z", "state": "active", "public-url": "3rd-annual-adapt-foundation-golf-fundraiser", "registration-close": "2026-03-12T22:19:00.000Z", "open-registration": true, "registration-closed": false, "cheapest-team-package-cost": 1200, "number-of-rounds": 1, "logo": "https://api.golfstatus.com/rails/active_storage/representations/redirect/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBeGw5Qnc9PSIsImV4cCI6bnVsbCwicHVyIjoiYmxvYl9pZCJ9fQ==--a97f36d987315be51a552222f787e0cea92d754e/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaDdCem9MWm05eWJXRjBPZ2h3Ym1jNkZISmxjMmw2WlY5MGIxOXNhVzFwZEZzSGFRSllBakE9IiwiZXhwIjpudWxsLCJwdXIiOiJ2YXJpYXRpb24ifX0=--ffdda67add415ba49b32f5bd66341890c9bd8048/ecafa1bd-d580-4fdc-b6eb-f94ab09c6acf.png", "number-registered-teams": 5, "link": "https://events.golfstatus.com/809783a2-06b8-4191-b481-b34e89a7eb00", "tournaments_rounds": "https://events.golfstatus.com/undefined", "tournament_formats": "https://events.golfstatus.com//v2/tournaments/809783a2-06b8-4191-b481-b34e89a7eb00/tournament-formats", "crawled_at": "2026-03-12T08:57:52.523Z" } ] ``` ### Use Cases - **Market Research**: Analyze trends in golf event popularity and pricing for industry reports. - **Competitive Intelligence**: Monitor rival tournaments' registrations and details. - **Price Monitoring**: Track costs and packages for budget planning. - **Content Aggregation**: Collect event data for blogs, newsletters, or directories. - **Academic Research**: Study golf participation patterns and event structures. - **Business Automation**: Integrate data into CRM systems for targeted marketing. ### Installation and Usage 1. Search for "Golfstatus Discovery 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 Actor outputs an array of JSON objects, each representing a tournament. Key fields include: - `id`: Unique tournament identifier. - `name`: Event title. - `description`: Detailed event info. - `start-at` and `end-at`: Event dates in ISO format. - `state`: Status (e.g., "active"). - `registration-close`: Deadline for sign-ups. - `cheapest-team-package-cost`: Lowest team price. - `number-registered-teams`: Current registrations. - `link`: Direct URL to the event. - `crawled_at`: Timestamp of data extraction. Data is reliable and up-to-date, with fields like `logo` providing image URLs. ### 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! *** Discover golf tournaments effortlessly with Golfstatus Discovery Scraper! Extract event details, registrations, and costs via keyword search. Features include flexible limits, real-time data, and JSON output. Perfect for market research, competitive analysis, and automation. Try it free on Apify today! (148 characters) # Actor input Schema ## `searchQuery` (type: `string`): Search keyword to find tournaments. ## `maxItems` (type: `integer`): Maximum number of tournaments to scrape. ## Actor input object example ```json { "searchQuery": "a", "maxItems": 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 = { "searchQuery": "a" }; // Run the Actor and wait for it to finish const run = await client.actor("getdataforme/golfstatus-discovery-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 = { "searchQuery": "a" } # Run the Actor and wait for it to finish run = client.actor("getdataforme/golfstatus-discovery-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 '{ "searchQuery": "a" }' | apify call getdataforme/golfstatus-discovery-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=getdataforme/golfstatus-discovery-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Golfstatus Discovery Scraper", "description": "Effortlessly scrape golf tournament data from Golfstatus.com with this Apify Actor. Extract event details, registrations, costs, and more via keyword search. Features include flexible limits, real-time JSON output, and high-performance scraping....", "version": "0.0", "x-build-id": "VS3E5iSDx1eUFCk51" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/getdataforme~golfstatus-discovery-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-getdataforme-golfstatus-discovery-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/getdataforme~golfstatus-discovery-scraper/runs": { "post": { "operationId": "runs-sync-getdataforme-golfstatus-discovery-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/getdataforme~golfstatus-discovery-scraper/run-sync": { "post": { "operationId": "run-sync-getdataforme-golfstatus-discovery-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "searchQuery" ], "properties": { "searchQuery": { "title": "Search Query", "type": "string", "description": "Search keyword to find tournaments." }, "maxItems": { "title": "Max Items", "type": "integer", "description": "Maximum number of tournaments to scrape.", "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 } } } } } } } } } } ```