# Sports Injury Report Scraper - NFL, NBA, NHL, MLB & WNBA (`datawright/sports-injury-report-scraper`) Actor

Current injury reports for NFL, NBA, NHL, MLB and WNBA teams: player, position, status (Out/Questionable/IR), injury, body part, expected return and notes. Plus full rosters. Flat rows for betting, DFS and fantasy.

- **URL**: https://apify.com/datawright/sports-injury-report-scraper.md
- **Developed by:** [Datawright](https://apify.com/datawright) (community)
- **Stats:** 3 total users, 2 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.00 / 1,000 row of data

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?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## Sports Injury Report Scraper - NFL, NBA, NHL, MLB & WNBA Injuries

The current **injury report** for every team: player, position, **status (Out, Doubtful, Questionable, Day-to-Day, IR/IL)**, injury type, body part, expected return date and the latest note - for the NFL, NBA, NHL, MLB and WNBA. Rosters are included so you can join injuries to the full depth chart.

**Leagues:** NFL, NBA, NHL, MLB, WNBA.

Built for **betting, DFS lineups, fantasy start/sit decisions and injury alerts**, spreadsheets and AI agents. No API key, no browser, no login - fast and cheap.

### What you get

| Data type | One row per | Highlights |
|---|---|---|
| **Injury report** | injured player | Status (Out/Questionable/...), injury, body part, expected return |
| **Rosters** | player | Position, jersey, height, weight, age, birthplace, experience |

Every row is flat (no nested JSON), so it drops straight into Excel, Google Sheets, pandas or a database.

### How to use

1. Pick a **league**, then **what data** you want.
2. Optionally filter by **teams** and **players**.
3. Run, then download as JSON, CSV or Excel, or pull it via the API.

#### Examples

The full NFL injury report:

```json
{
  "league": "nfl",
  "dataType": "injuries"
}
```

NBA injuries for two teams:

```json
{
  "league": "nba",
  "dataType": "injuries",
  "teams": [
    "LAL",
    "BOS"
  ]
}
```

A team roster with injury status:

```json
{
  "league": "nfl",
  "dataType": "rosters",
  "teams": [
    "KC"
  ]
}
```

### Sample output (injury report row)

```json
{
  "league": "NBA",
  "teamId": "1",
  "teamName": "Atlanta Hawks",
  "team": "ATL",
  "playerId": "5105571",
  "playerName": "Henri Veesaar",
  "position": "C",
  "status": "Out",
  "statusAbbr": "O",
  "fantasyStatus": "OFS",
  "injuryType": "Knee",
  "bodyLocation": "Leg",
  "side": "Right",
  "expectedReturn": "2027-07-01",
  "updated": "2026-09-21T19:50Z",
  "note": "Veesaar was diagnosed with a torn right ACL and is expected to miss the 2026-27 season, the Hawks announced Monday."
}
```

### Pricing

Pay only for rows you get - see the **Pricing** tab. Use *Max rows* or the run's maximum cost to cap spending.

### Automate it

- **Schedule** a daily run (Schedules → Create) to keep a database or spreadsheet current.
- Connect to **Google Sheets, Zapier, Make, n8n** or webhooks from the Integrations tab.
- Call it from code with the Apify API or from AI agents via the Apify MCP server.

### FAQ

**How fresh is the data?** The injury report and rosters are fetched live from ESPN on every run - schedule it daily (or before each slate) to catch status changes.

**Which leagues?** NFL, NBA, NHL, MLB, WNBA. One league per run - run it once per league or set up one schedule per league.

### Disclaimer

This actor is not affiliated with, endorsed by or connected to ESPN, DraftKings or any league. It collects publicly available factual sports statistics. It only reads publicly accessible data and grants you no rights in it: you are responsible for making sure your use complies with the data source's terms of use and applicable laws (including copyright, database and privacy laws).

# Actor input Schema

## `league` (type: `string`):

Which league or competition to pull.

## `dataType` (type: `string`):

Player game logs = one row per player per game (box-score line). Team game logs include the closing line with ATS and over/under results.

## `teams` (type: `array`):

Team abbreviations to keep, e.g. KC, LAL. Empty = all teams.

## `players` (type: `array`):

Player names (partial match) or ESPN player IDs, e.g. Patrick Mahomes. Empty = all players.

## `maxItems` (type: `integer`):

Stop after this many rows (0 = no limit). Pre-set to 200 so a first try stays cheap - raise it or set 0 for full pulls.

## `maxConcurrency` (type: `integer`):

Parallel requests.

## Actor input object example

```json
{
  "league": "nfl",
  "dataType": "injuries",
  "maxItems": 200,
  "maxConcurrency": 6
}
```

# Actor output Schema

## `results` (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 = {
    "league": "nfl",
    "dataType": "injuries",
    "maxItems": 200
};

// Run the Actor and wait for it to finish
const run = await client.actor("datawright/sports-injury-report-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 = {
    "league": "nfl",
    "dataType": "injuries",
    "maxItems": 200,
}

# Run the Actor and wait for it to finish
run = client.actor("datawright/sports-injury-report-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 '{
  "league": "nfl",
  "dataType": "injuries",
  "maxItems": 200
}' |
apify call datawright/sports-injury-report-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,datawright/sports-injury-report-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/ci4dW7c75KIkiPvmp/builds/SxglAXwmnA1XDNpeX/openapi.json