## π NBA Injury Reports API (Unofficial)
Real-time and historical NBA injury data sourced directly from official league publications. Updated **3Γ daily** at **11 AM**, **3 PM**, and **5 PM ET** during the NBA season.
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## β‘ Key Features
**π‘ Real-Time Updates** | Data refreshed **3 times daily** (11 AM, 3 PM, 5 PM ET) during NBA season
**ποΈ Historical Data** | Complete injury archives from **2021 to present** for trend analysis and research
**β‘ Lightning Fast** | Sub-100ms response times with intelligent caching infrastructure
**β
Official Sources** | All data extracted from official NBA injury reports for maximum accuracy
**π Clean JSON** | Structured, easy-to-parse responses that work with any tech stack
**π‘οΈ High Availability** | 99.9% uptime with continuous monitoring and redundancy
---
## π Response Schema
Every injury record contains these standardized fields:
**`date`** | String | Game date in `YYYY-MM-DD` format
**`team`** | String | Full NBA team name
**`player`** | String | Player's complete name
**`status`** | String | `Out` | `Questionable` | `Doubtful` | `Probable` | `Available`
**`reason`** | String | Detailed injury description and affected body part
**`reportTime`** | String | Report cycle: `11AM` | `3PM` | `5PM`
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## π― Perfect For
**π² Sports Betting Apps** | Adjust odds and betting models with real-time player availability data
**π Fantasy Sports** | Optimize lineups with up-to-the-minute injury status updates
**π Analytics Platforms** | Correlate injury data with performance metrics and win rates
**π° Media & Journalism** | Access verified, structured data for coverage and reporting
**π€ Data Science** | Train predictive models on historical injury patterns and trends
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## οΏ½ Quick Start
### JavaScript / Node.js
```javascript
const options = {
method: 'GET',
headers: {
'X-RapidAPI-Key': 'YOUR_API_KEY',
'X-RapidAPI-Host': 'nba-injury-reports.p.rapidapi.com'
}
};
fetch('https://nba-injury-reports.p.rapidapi.com/injuries/2024-10-22', options)
.then(response => response.json())
.then(data => console.log(data))
.catch(err => console.error(err));
```
### Python
```python
import requests
url = "https://nba-injury-reports.p.rapidapi.com/injuries/2024-10-22"
headers = {
"X-RapidAPI-Key": "YOUR_API_KEY",
"X-RapidAPI-Host": "nba-injury-reports.p.rapidapi.com"
}
response = requests.get(url, headers=headers)
print(response.json())
```
---
## οΏ½ Sample Response
```json
[
{
"date": "2024-10-22",
"team": "Los Angeles Lakers",
"player": "LeBron James",
"status": "Questionable",
"reason": "Left Ankle; Soreness",
"reportTime": "05PM"
},
{
"date": "2024-10-22",
"team": "Boston Celtics",
"player": "Jayson Tatum",
"status": "Out",
"reason": "Left Knee; Injury Management",
"reportTime": "05PM"
},
{
"date": "2024-10-22",
"team": "Golden State Warriors",
"player": "Stephen Curry",
"status": "Available",
"reason": "N/A",
"reportTime": "05PM"
}
]
```
---
## π Why Choose This API
**β±οΈ Always Current** | Triple-daily updates ensure you never miss critical injury news
**οΏ½ Historical Depth** | Years of archived data for comprehensive analysis
**π Instant Response** | Optimized infrastructure delivers data in milliseconds
**π° Flexible Pricing** | Scalable plans for projects of any size
**π§ Easy Integration** | Simple REST API works with any programming language
**π± Production Ready** | Enterprise-grade reliability and uptime
---
## π§ Common Use Cases
**Daily Dashboard** | Fetch today's injuries across all teams for your homepage
**Team Tracking** | Monitor specific teams for injury updates and alerts
**Historical Analysis** | Query date ranges to analyze injury trends over time
**Pre-Game Alerts** | Check 5 PM reports for final injury status before games
**Predictive Models** | Use historical data to forecast player availability
---
## β οΈ Important Disclaimer
This API is **unofficial** and **not affiliated with or endorsed by the NBA** or any of its teams.
**Monetization Note:** If monetizing your application, charge for **hosting, infrastructure, analytics tools, or premium features** β not for the raw data itself, which originates from publicly available NBA sources.
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## π Get Started
Subscribe now to access real-time NBA injury data and start building powerful sports applications.
**Need Help?** Check the endpoint documentation or contact support for assistance.