🏀 NCAA Basketball Team Box Score Scraper

The best NCAA Men's Basketball team box score scraper on Apify — clean and analysis-ready data from 2003 onward

Stop cleaning messy college basketball data. Get every NCAA Men's Basketball team box score since 2003 - 45+ fields, proper types, zero cleanup required.

---

🎯 What does this scraper do?

This actor extracts team-level box score statistics from every NCAA Men's Basketball game played since 2003. It delivers clean, structured data ready for analysis or integration into your applications. No manual cleanup, no parsing nightmares, no messy nested data.

Key Benefits

• ✅ 45+ fields per game - scoring, shooting, rebounds, assists, and more
• ✅ 2003–present - 20+ seasons of historical coverage
• ✅ All Division I teams - 350+ teams across all conferences
• ✅ Clean structure - proper types and descriptive field names
• ✅ Fast & reliable - built-in validation and error handling
• ✅ Export anywhere - JSON, CSV, Excel, XML, and more

💡 No manual cleanup. No parsing nightmares. Just clean data.

---

📦 What data can you extract?

Every team game returns 45+ structured data points including:

Category	What's Included
🎮 Game Info	Game ID, season info, game date, season type
🏀 Team	Team name, school, mascot, abbreviation, logo, colors
🎯 Scoring	Points for/against, margin, largest lead, paint points, fast break points
🏹 Shooting	Field goals, 3-pointers, free throws (made/attempted/pct)
📦 Rebounds	Total, offensive, defensive
🤝 Playmaking	Assists, turnovers, assist-to-turnover ratio
🛡️ Defense	Steals, blocks
🚨 Fouls	Personal, technical, flagrant
👥 Opponent	Full opponent info and score

💡 See the full data dictionary for all 45+ fields below.

---

🚀 How to scrape NCAA basketball team box score data

Quick Start Guide

Extracting NCAA basketball team box score data is simple - no coding required.

1. Create account — Sign up for a free Apify account
2. Open scraper — Go to NCAA Basketball Team Box Score Scraper
3. Select inputs — Choose a team and season year
4. Run — Click Start in the Apify Console
5. Export — Download as JSON, CSV, Excel, XML, or HTML

✨ Try it FREE - No credit card required

---

📥 Inputs

The scraper requires two simple inputs:

Input	Required	Description	Example
Season	✅	4-digit year (2003–present)	2026 → 2025-26 season
Team	✅	Full team name (school + mascot)	Kentucky Wildcats, Duke Blue Devils

Option A: Use Apify Console (No Code)

The easiest way to get started — just point and click.

1. Open the NCAA Basketball Team Box Score Scraper
2. Enter a season year (defaults to latest)
3. Select a team from the dropdown (e.g., "Kentucky Wildcats", "Duke Blue Devils")
4. Click Start
5. Download results

💡 Tip: Use the full team name including school and mascot. This ensures you get exactly the team you want — for example, "Kentucky Wildcats" vs "Arizona Wildcats" (there are 10 teams with "Wildcats" as their mascot!).

Option B: Use the API (Programmatic)

For automation, scheduling, or integration into your pipeline:

{
  "season": 2026,
  "team": "Kentucky Wildcats"
}

⚠️ Note: both season and team are required fields.

---

📤 Output

Results are stored in the Storage tab as a structured dataset. View directly on the platform or download in multiple formats.

Results Preview

Once scraping completes, preview your data immediately in the Output tab.

Organized Views

We've pre-configured logical dataset views to help you explore the data more easily.

View	Description
🏀 Game Overview	Team box score summary at a glance
🎯 Scoring Summary	Points, margin, paint & fast break scoring
🏹 Shooting Analysis	Field goals, 3-pointers, free throws
📦 Rebounding Stats	Total, offensive, defensive boards
🔄 Ball Movement	Assists, turnovers, ball control
🛡️ Defensive Impact	Steals, blocks, points allowed
🚨 Fouls & Discipline	Personal, technical, flagrant fouls
👥 Opponent Matchup	Full team vs opponent details

Sample JSON Output

Each team game returns a clean, flat JSON object with 45+ fields. Field names are descriptive and grouped by prefix (game_, team_, score_, field_goals_, etc.) so you can quickly find what you need.

---

📖 Data Dictionary

Complete reference for all 45+ fields returned by this scraper. Fields are grouped by prefix for easy navigation.

Field	Type	Category	Description
game_id	integer	Game	Unique identifier for the game
game_date	string	Game	Game date (YYYY-MM-DD)
game_datetime	string	Game	Game date and time
game_season	integer	Game	Season year (e.g., 2026 for 2025-26 season)
game_season_type	integer	Game	Season type code (1=preseason, 2=regular, 3=postseason)
game_season_type_name	string	Game	Season type name
team_name_full	string	Team	Full team name (e.g., "Kentucky Wildcats")
team_abbreviation	string	Team	Team abbreviation (e.g., "UK")
team_school	string	Team	School name (e.g., "Kentucky")
team_mascot	string	Team	Team mascot (e.g., "Wildcats")
team_id	integer	Team	ESPN team identifier
team_logo	string	Team	URL to team logo
team_color_primary	string	Team	Primary team color (hex)
team_color_alternate	string	Team	Alternate team color (hex)
team_venue	string	Team	Home or away
team_outcome	string	Team	Win or Loss
score_points_for	integer	Scoring	Points scored by team
score_points_against	integer	Scoring	Points scored by opponent
score_margin	integer	Scoring	Point differential
score_largest_lead	integer	Scoring	Largest lead during the game
score_points_in_paint	integer	Scoring	Points scored in the paint
score_fast_break_points	integer	Scoring	Points on fast breaks
score_turnover_points	integer	Scoring	Points off turnovers
field_goals_made	integer	Shooting	Field goals made
field_goals_attempted	integer	Shooting	Field goals attempted
field_goals_pct	number	Shooting	Field goal percentage (0-100)
three_pointers_made	integer	Shooting	Three-pointers made
three_pointers_attempted	integer	Shooting	Three-pointers attempted
three_pointers_pct	number	Shooting	Three-point percentage (0-100)
free_throws_made	integer	Shooting	Free throws made
free_throws_attempted	integer	Shooting	Free throws attempted
free_throws_pct	number	Shooting	Free throw percentage (0-100)
rebounds_total	integer	Rebounds	Total rebounds
rebounds_offensive	integer	Rebounds	Offensive rebounds
rebounds_defensive	integer	Rebounds	Defensive rebounds
assists_total	integer	Playmaking	Total assists
turnovers_total	integer	Playmaking	Total turnovers
turnovers_team	integer	Playmaking	Team turnovers (not attributed to players)
assists_to_turnovers_ratio	number	Playmaking	Assists divided by turnovers
steals_total	integer	Defense	Total steals
blocks_total	integer	Defense	Total blocks
fouls_personal	integer	Fouls	Personal fouls
fouls_technical	integer	Fouls	Technical fouls
fouls_flagrant	integer	Fouls	Flagrant fouls
opponent_name_full	string	Opponent	Opponent full name
opponent_abbreviation	string	Opponent	Opponent abbreviation
opponent_school	string	Opponent	Opponent school name
opponent_mascot	string	Opponent	Opponent mascot
opponent_id	integer	Opponent	Opponent team ID
opponent_logo	string	Opponent	URL to opponent logo
opponent_score	integer	Opponent	Opponent's final score

💡 Note: Shooting percentages are whole numbers (0-100 scale). All missing values are explicit null, not empty strings.

Key Differences from NBA Data

NCAA basketball has some important structural differences from NBA:

Aspect	NCAA	NBA
Game Length	Two 20-minute halves	Four 12-minute quarters
Shot Clock	30 seconds	24 seconds
Bonus Rules	7 fouls per half (1-and-1)	5 fouls per quarter
Teams	350+ Division I teams	30 teams
Min Season	2003	2002

---

🔗 Sportsverse Data Suite

Building something bigger? Our ecosystem covers comprehensive sports data. Check out our other sports scrapers:

Actor	Description	Status
🏀 NCAA Basketball Play-by-Play	Every play from every college game	✅ Available
🏀 NCAA Basketball Team Box Scores	College team statistics per game (this actor)	✅ Available
🏀 NCAA Basketball Player Box Scores	College player statistics	✅ Available
🏀 NBA Play-by-Play	Professional basketball play-by-play	✅ Available
🏀 NBA Team Box Scores	NBA team statistics per game	✅ Available
🏀 NBA Player Box Scores	NBA player statistics per game	✅ Available
🏒 NHL Play-by-Play	Hockey game events	🚧 Coming Soon
🏒 NHL Box Scores	Player & team statistics	🚧 Coming Soon
🏈 NFL Play-by-Play	Football play tracking	🚧 Coming Soon
🏈 NFL Box Scores	Player & team statistics	🚧 Coming Soon
⚾ MLB Play-by-Play	Baseball game events	🚧 Coming Soon
⚾ MLB Box Scores	Player & team statistics	🚧 Coming Soon

---

🤝 Support & Feedback

Found a bug? Want a new field? Have an idea?

• 🐛 Report issues in the actor comments
• 💡 Suggest features or enhancements
• 📊 Request additional fields or output tweaks

We read every message and aim to respond quickly.

---

Built with ❤️ and lots of ☕ for the sports analytics community