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
• 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:

{
  "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:

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

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Built with Apify SDK • Playwright • Cheerio

Actor: morkerr/ncaa-directory-scraper