# NZ Sports Club Directory Discovery (`k0nkupa/nz-sports-club-directory-discovery`) Actor Discovers New Zealand sports clubs from public association and regional directories and emits club/contact/category rows for sponsorship and lead-gen workflows. - **URL**: https://apify.com/k0nkupa/nz-sports-club-directory-discovery.md - **Developed by:** [Tony Le](https://apify.com/k0nkupa) (community) - **Categories:** Lead generation, Other - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $1.50 / 1,000 sports club rows 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 ## NZ Sports Club Directory Discovery Discovers New Zealand sports club directory rows from public association and directory pages. It crawls supplied or default sports sources one level deep, extracts club links/cards, classifies sport and region from evidence text, deduplicates normalized URLs, and emits sponsorship or outreach lead rows. ### Inputs - `sourceUrls`: Sports association or directory pages to crawl. - `sports`: Optional sport hints used for source selection and sport classification. - `useDefaultSources`: Use built-in Sporty and Sport NZ sources when no explicit source or known sport is supplied. - `maxItems`: Maximum club rows to emit. Explicit `sourceUrls` are used as-is and do not silently mix in default sources. ### Default discovery sources - https://www.sporty.co.nz/ - https://sportnz.org.nz/ ### Output fields - `recordType`: Always `sportsClub`. - `sourceUrl`: Normalized club listing or website URL. - `clubName`: Club name inferred from link text. - `sport`: Sport inferred from configured hints and evidence text. - `region`: Region inferred from evidence or source hostname. - `websiteUrl`: Club URL. - `confidence`: Evidence score from 0 to 1. - `evidenceText`: Link text and nearby page context used for classification. - `capturedAt`: ISO timestamp for the run. ### Example input ```json { "sourceUrls": ["https://www.sporty.co.nz/"], "sports": ["football", "rugby", "netball"], "maxItems": 100 } ```` ### Example output ```json { "recordType": "sportsClub", "sourceUrl": "https://example.org.nz/wellington-rugby", "clubName": "Wellington Rugby Club", "sport": "rugby", "region": "Wellington", "websiteUrl": "https://example.org.nz/wellington-rugby", "confidence": 0.85, "evidenceText": "Wellington rugby club association page with official site and contact. Wellington Rugby Club official site", "capturedAt": "2026-07-08T00:00:00.000Z" } ``` ### Limitations This actor uses static HTML link extraction and evidence scoring. It does not log into member portals, scrape private contact databases, or enrich clubs beyond public page evidence. ### Local validation ```bash npm test npx --yes apify-cli validate-schema ``` Do not publish without explicit approval. # Actor input Schema ## `sourceUrls` (type: `array`): Sports association or directory pages to crawl one level deep for club listings and contact pages. ## `sports` (type: `array`): Optional sport hints used for source selection and sport classification. ## `useDefaultSources` (type: `boolean`): When no source URLs or known sport hints are supplied, crawl the built-in Sporty and Sport NZ sources. ## `maxItems` (type: `integer`): Maximum sports club rows to emit. ## Actor input object example ```json { "sourceUrls": [], "sports": [ "football", "rugby", "netball", "cricket" ], "useDefaultSources": true, "maxItems": 250 } ``` # 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("k0nkupa/nz-sports-club-directory-discovery").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 = {} # Run the Actor and wait for it to finish run = client.actor("k0nkupa/nz-sports-club-directory-discovery").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 '{}' | apify call k0nkupa/nz-sports-club-directory-discovery --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=k0nkupa/nz-sports-club-directory-discovery", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "NZ Sports Club Directory Discovery", "description": "Discovers New Zealand sports clubs from public association and regional directories and emits club/contact/category rows for sponsorship and lead-gen workflows.", "version": "0.1", "x-build-id": "lIFEn12gK3XC9o0BY" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/k0nkupa~nz-sports-club-directory-discovery/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-k0nkupa-nz-sports-club-directory-discovery", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/k0nkupa~nz-sports-club-directory-discovery/runs": { "post": { "operationId": "runs-sync-k0nkupa-nz-sports-club-directory-discovery", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/k0nkupa~nz-sports-club-directory-discovery/run-sync": { "post": { "operationId": "run-sync-k0nkupa-nz-sports-club-directory-discovery", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "sourceUrls": { "title": "Sports directory source URLs", "type": "array", "description": "Sports association or directory pages to crawl one level deep for club listings and contact pages.", "default": [], "items": { "type": "string" } }, "sports": { "title": "Sports", "type": "array", "description": "Optional sport hints used for source selection and sport classification.", "default": [ "football", "rugby", "netball", "cricket" ], "items": { "type": "string" } }, "useDefaultSources": { "title": "Use default sports sources", "type": "boolean", "description": "When no source URLs or known sport hints are supplied, crawl the built-in Sporty and Sport NZ sources.", "default": true }, "maxItems": { "title": "Max club rows", "minimum": 1, "maximum": 5000, "type": "integer", "description": "Maximum sports club rows to emit.", "default": 250 } } }, "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 } } } } } } } } } } ```