# NCAA Directory Staff Leads Scraper (`morkerr/ncaa-directory-scraper`) Actor Scrapes staff directory Leads data from NCAA member institutions based on division, states, and sports filters. - **URL**: https://apify.com/morkerr/ncaa-directory-scraper.md - **Developed by:** [morkerr](https://apify.com/morkerr) (community) - **Categories:** Automation, Lead generation, Agents - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $10.00 / 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 ## NCAA Athletics Staff Directory Scraper — Lead Generation & Contact Data **Extract verified coaching staff contact information** from 700+ NCAA member institutions across DI, DII, and DIII. The ultimate **lead generation** tool for sports marketing, recruiting, and business development. ### Why This Actor College athletics staff directories are scattered across hundreds of different website platforms. Manually collecting coach names, titles, emails, and phone numbers is slow and unreliable. This scraper automates **lead generation** from NCAA athletics websites — turning hours of manual work into a single click. ### Features - **Lead Generation Ready** — Build prospect lists with coach names, emails, and phone numbers - **All NCAA Divisions** — DI, DII, and DIII - **Smart University Search** — Find specific schools instantly by name - **40+ Sports** — Football, Basketball, Baseball, Soccer, Softball, and more - **State & Region Filters** — Target specific states for local **lead generation** campaigns - **Clean CSV Export** — Flat dataset ready for CRM import, email campaigns, or analysis - **Auto-Detect Site Format** — Handles Sidearm Next Gen, Sidearm Classic, S-Table, and custom HTML - **Trial Ready** — Pre-configured defaults (Alabama Football) for instant testing ### Use Cases - **Recruiting & Scouting** — Identify coaching staff at target schools for recruiting outreach - **Sales Lead Generation** — Build contact lists of athletic directors, coaches, and support staff - **Sponsorship Prospecting** — Find decision-makers at university athletic departments - **Partnership Development** — Generate qualified leads for NIL platforms, apparel, equipment, and services - **Competitive Research** — Monitor staffing changes and organizational structures across programs - **Job Market Analysis** — Track coaching vacancies and department growth trends - **Academic & Media Research** — Study athletic department composition and contact patterns ### How It Works 1. **Select Division & Filters** — Choose DI, DII, or DIII; filter by state, sport, or search by university name 2. **Automated Scraping** — The actor fetches the NCAA member directory, navigates each athletics website, and parses staff pages 3. **Structured Data Output** — Every staff member becomes a clean row in your dataset 4. **Download & Use** — Export as JSON or CSV for your CRM, spreadsheet, or email tool ### Input Fields | Field | Description | Default | |-------|-------------|---------| | **Search University Name** | Type to search for a specific university | `Alabama` | | **Division** | NCAA division to scrape (DI, DII, DIII) | `DI` | | **States** | Filter by one or more US states | All | | **Sports / Categories** | Filter by sport or staff category | `Football` | | **Max Institutions** | Maximum number of universities to process | `1` | ### Output Format Each dataset row is one staff member — ready for CRM import or **lead generation** workflows: ```json { "universityName": "University of Alabama", "division": "DI", "state": "AL", "category": "Football", "name": "Kalen DeBoer", "title": "Head Coach", "email": "jwarshaw@ia.ua.edu", "phone": "(205) 963-5700" } ```` #### Sample Lead Generation CSV Build email lists for targeted outreach: ```csv universityName,division,state,category,name,title,email,phone University of Alabama,DI,AL,Football,Kalen DeBoer,Head Coach,jwarshaw@ia.ua.edu,(205) 963-5700 University of Alabama,DI,AL,Football,Sheridan White,Offensive Coordinator,sheridan@ia.ua.edu,(205) 963-5701 ``` ### Supported Website Platforms - **Sidearm Next Gen** — Modern Nuxt/Vue SSR (majority of DI schools) - **Sidearm Classic** — Legacy Sidearm CMS - **S-Table Format** — Custom table-based directories - **Generic HTML** — Fallback for custom staff pages The scraper auto-detects the format and applies the correct parser. ### Quick Start 1. Click **Try for free** 2. Leave the defaults (Alabama, Football, 1 institution) 3. Click **Start** 4. Open the **Dataset** tab to view results 5. Export as JSON or CSV ### Pricing & Lead Generation ROI | Scrape Size | Records | Cost | |-------------|---------|------| | 1 university (trial) | 10–50 | $0.10–$0.50 | | 50 universities | 500–2,000 | $5–$20 | | All DI Football (130) | 3,000–5,000 | $30–$50 | | All DI schools (350+) | 10,000+ | $100+ | **Pricing:** $10 per 1,000 records in your dataset. ### Tips - **Search Mode** — Type any part of the university name (e.g., "Ohio" matches Ohio State, Ohio University, etc.) - **Scrape All Categories** — Clear the Sports dropdown to get every staff category for a school - **Full-Scale Run** — Set Max Institutions to 0 for unlimited processing (budget 2-4 hours for all DI) - **Targeted Lead Gen** — Use state filters for regional campaigns - **Cost Control** — Start with Max Institutions = 5–10 to test before scaling ### Proxy Works without proxy for most sites. Configure residential proxies if you encounter rate limiting on specific athletics websites. ### Limitations - Some athletics websites may block automated access - Phone and email availability depends on the university's public directory - Processing averages 3–5 seconds per university *** **Built with** [Apify SDK](https://sdk.apify.com/) • [Playwright](https://playwright.dev/) • [Cheerio](https://cheerio.js.org/) **Actor:** `morkerr/ncaa-directory-scraper` # Actor input Schema ## `universitySearch` (type: `string`): Type to search for a specific university (e.g., 'Alabama'). Leave empty to use Division/State/Sport filters. ## `division` (type: `string`): Select NCAA Division to filter ## `states` (type: `array`): Select one or more states (leave empty for all states) ## `sports` (type: `array`): Select specific sports/categories to scrape from staff directories. Leave empty to scrape ALL categories. ## `maxInstitutions` (type: `integer`): Maximum number of institutions to process (0 = no limit). Use 1 for quick trial. ## `proxyConfiguration` (type: `object`): Optional proxy configuration ## Actor input object example ```json { "universitySearch": "Alabama", "division": "DI", "sports": [ "Football" ], "maxInstitutions": 1 } ``` # Actor output Schema ## `dataset` (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("morkerr/ncaa-directory-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 = {} # Run the Actor and wait for it to finish run = client.actor("morkerr/ncaa-directory-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 '{}' | apify call morkerr/ncaa-directory-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=morkerr/ncaa-directory-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "NCAA Directory Staff Leads Scraper", "description": "Scrapes staff directory Leads data from NCAA member institutions based on division, states, and sports filters.", "version": "1.0", "x-build-id": "uTZlbq9eAARaHmfFC" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/morkerr~ncaa-directory-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-morkerr-ncaa-directory-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/morkerr~ncaa-directory-scraper/runs": { "post": { "operationId": "runs-sync-morkerr-ncaa-directory-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/morkerr~ncaa-directory-scraper/run-sync": { "post": { "operationId": "run-sync-morkerr-ncaa-directory-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "universitySearch": { "title": "Search University Name", "type": "string", "description": "Type to search for a specific university (e.g., 'Alabama'). Leave empty to use Division/State/Sport filters.", "default": "Alabama" }, "division": { "title": "Division", "enum": [ "DI", "DII", "DIII" ], "type": "string", "description": "Select NCAA Division to filter", "default": "DI" }, "states": { "title": "States", "type": "array", "description": "Select one or more states (leave empty for all states)", "items": { "type": "string", "enum": [ "AL", "AK", "AZ", "AR", "CA", "CO", "CT", "DE", "DC", "FL", "GA", "HI", "ID", "IL", "IN", "IA", "KS", "KY", "LA", "ME", "MD", "MA", "MI", "MN", "MS", "MO", "MT", "NE", "NV", "NH", "NJ", "NM", "NY", "NC", "ND", "OH", "OK", "OR", "PA", "RI", "SC", "SD", "TN", "TX", "UT", "VT", "VA", "VI", "WA", "WV", "WI", "WY" ], "enumTitles": [ "Alabama", "Alaska", "Arizona", "Arkansas", "California", "Colorado", "Connecticut", "Delaware", "District of Columbia", "Florida", "Georgia", "Hawaii", "Idaho", "Illinois", "Indiana", "Iowa", "Kansas", "Kentucky", "Louisiana", "Maine", "Maryland", "Massachusetts", "Michigan", "Minnesota", "Mississippi", "Missouri", "Montana", "Nebraska", "Nevada", "New Hampshire", "New Jersey", "New Mexico", "New York", "North Carolina", "North Dakota", "Ohio", "Oklahoma", "Oregon", "Pennsylvania", "Rhode Island", "South Carolina", "South Dakota", "Tennessee", "Texas", "Utah", "Vermont", "Virginia", "Virgin Islands", "Washington", "West Virginia", "Wisconsin", "Wyoming" ] } }, "sports": { "title": "Sports / Categories", "type": "array", "description": "Select specific sports/categories to scrape from staff directories. Leave empty to scrape ALL categories.", "items": { "type": "string", "enum": [ "Football", "Baseball", "Basketball", "Field Hockey", "Men's Archery", "Men's Basketball", "Men's Cross Country", "Men's Fencing", "Men's Golf", "Men's Gymnastics", "Men's Ice Hockey", "Men's Lacrosse", "Men's Rifle", "Men's Skiing", "Men's Soccer", "Men's Swimming & Diving", "Men's Tennis", "Men's Track & Field", "Men's Volleyball", "Men's Water Polo", "Men's Wrestling", "Softball", "Women's Basketball", "Women's Beach Volleyball", "Women's Bowling", "Women's Cross Country", "Women's Fencing", "Women's Field Hockey", "Women's Golf", "Women's Gymnastics", "Women's Ice Hockey", "Women's Lacrosse", "Women's Rifle", "Women's Skiing", "Women's Soccer", "Women's Swimming & Diving", "Women's Tennis", "Women's Track & Field", "Women's Volleyball", "Women's Water Polo", "Women's Wrestling" ], "enumTitles": [ "Football", "Baseball", "Basketball", "Field Hockey", "Men's Archery", "Men's Basketball", "Men's Cross Country", "Men's Fencing", "Men's Golf", "Men's Gymnastics", "Men's Ice Hockey", "Men's Lacrosse", "Men's Rifle", "Men's Skiing", "Men's Soccer", "Men's Swimming & Diving", "Men's Tennis", "Men's Track & Field", "Men's Volleyball", "Men's Water Polo", "Men's Wrestling", "Softball", "Women's Basketball", "Women's Beach Volleyball", "Women's Bowling", "Women's Cross Country", "Women's Fencing", "Women's Field Hockey", "Women's Golf", "Women's Gymnastics", "Women's Ice Hockey", "Women's Lacrosse", "Women's Rifle", "Women's Skiing", "Women's Soccer", "Women's Swimming & Diving", "Women's Tennis", "Women's Track & Field", "Women's Volleyball", "Women's Water Polo", "Women's Wrestling" ] }, "default": [ "Football" ] }, "maxInstitutions": { "title": "Max Institutions", "minimum": 0, "type": "integer", "description": "Maximum number of institutions to process (0 = no limit). Use 1 for quick trial.", "default": 1 }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Optional proxy configuration" } } }, "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 } } } } } } } } } } ```