# 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:** 5 total users, 2 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/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — 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 Directory Staff Leads 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
- **Concurrent Scraping** — Processes up to 20 universities in parallel for maximum speed
- **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. **Concurrent Processing** — Universities are scraped in parallel (5 by default, up to 20) for maximum throughput
4. **Structured Data Output** — Every staff member becomes a clean row in your dataset
5. **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 | `""` (all) |
| **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 | `0` (unlimited) |
| **Concurrency** | Number of universities to scrape in parallel (1–20) | `5` |

### 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 defaults as-is (DI, Football, unlimited institutions)
3. Click **Start**
4. Open the **Dataset** tab to view results
5. Export as JSON or CSV

### Pricing & Lead Generation ROI

Concurrent scraping delivers **~287 records per minute** (with concurrency=5), keeping costs low:

| Scrape Size | Records | Time (est.) | Cost |
|-------------|---------|-------------|------|
| 1 university (trial) | 10–50 | ~10s | $0.10–$0.50 |
| Alabama DI Football (4 unis) | 287 | 2 min | $2.87 |
| All DI Football (130) | 5,000–10,000 | 15–30 min | $50–$100 |
| All DI sports (350+ unis) | 60,000+ | 2–4 hours | $600+ |

**Actual benchmark** (AL state, DI, Football, 3 universities, concurrency=5):\
**287 records in 1 min 50 sec at $0.027 total cost.**

**Pricing:** $10 per 1,000 records in your dataset — no subscriptions, no monthly fees. Pay only for what you use.

### 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 (concurrency=5)
- **Increase Speed** — Raise concurrency to 10–20 for faster processing (uses more memory)
- **Targeted Lead Gen** — Use state filters for regional campaigns
- **Cost Control** — Start with Max Institutions = 5–10 and concurrency = 3 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 ~1–5 seconds per university with concurrency (5x faster batch)
- Some sites use JavaScript-only rendering (e.g., Arizona Wildcats) which may not work in headless Chrome

***

**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.

## `concurrency` (type: `integer`):

Number of universities to process in parallel. Higher = faster but more memory. Reduce if hitting rate limits.

## `proxyConfiguration` (type: `object`):

Optional proxy configuration

## Actor input object example

```json
{
  "universitySearch": "",
  "division": "DI",
  "sports": [
    "Football"
  ],
  "maxInstitutions": 0,
  "concurrency": 5
}
```

# 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 '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_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 '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# 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(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).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": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,morkerr/ncaa-directory-scraper"
        }
    }
}

```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/h7LVuR8ddVgWZGcCi/builds/dTCd4hYivf2X1VSbv/openapi.json