# NFL Stats & Injury Report Scraper - Weekly Player Data (`pennydata/nfl-weekly-stats-injuries`) Actor

NFL weekly player stats and injury reports from open nflverse data. Filter by season, week, team, position or player. Standard and PPR fantasy points, passing, rushing, receiving, plus Out/Doubtful/Questionable status, plus NFL injury report changes vs last week. Data CC BY 4.0.

- **URL**: https://apify.com/pennydata/nfl-weekly-stats-injuries.md
- **Developed by:** [Penny Data](https://apify.com/pennydata) (community)
- **Categories:** Sports, News, Developer tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$0.10 / 1,000 player row returneds

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

## NFL Stats Scraper & NFL Injury Report (nflverse, Weekly Player Data)

This NFL stats scraper and NFL injury report API returns both in one call: weekly injury reports and player stats (with standard and PPR fantasy points), filtered by season, week, team, position or player name. Pay per row returned.

### What you get

- **player_stats**: per player per week: passing, rushing and receiving yards/TDs, receptions, targets, target share, kicking, `fantasy_points`, `fantasy_points_ppr`.
- **injuries**: per player per week: `report_status` (Out, Doubtful, Questionable), injury, and practice status/injury.
- **injuryChanges** (NFL injury report changes): players whose game status or practice participation changed versus the previous week's report: `player`, `team`, `position`, `prior_status`, `new_status`, `prior_practice`, `practice`, `change_type` (`status_changed`, `practice_changed`, `newly_listed`, `cleared`), `primary_injury`. nflverse publishes one report row per player per week, so `report_date` is always null and the comparison is week over week.

### Input

| Field | Meaning |
|---|---|
| `dataset` | `player_stats` (default), `injuries` or `injuryChanges` |
| `season` | Year; empty = current season, falling back to the previous one if the new season has no data yet |
| `week` | 1-22; empty = latest week with data |
| `team` | e.g. `["KC","BUF"]` |
| `position` | e.g. `["QB","WR"]` |
| `playerName` | Case-insensitive substring |
| `reportStatus` | Injuries only, e.g. `["Out","Doubtful"]` |
| `maxItems` | Row cap (default 500); you are never charged for more |

Example: `{"dataset":"injuryChanges","week":8}` returns the NFL injury report changes for week 8.

Example: `{"dataset":"injuries","week":7,"reportStatus":["Out","Doubtful"]}`

### Pricing

Pay per event: a small Actor start fee plus **$0.002 per row returned** (`player-row`). Warnings and empty results are not charged.

### Data source and license

Data comes from the open [nflverse-data](https://github.com/nflverse/nflverse-data) GitHub releases (`stats_player` and `injuries`). nflverse-data is licensed under **Creative Commons Attribution 4.0 International (CC BY 4.0)** ([LICENSE](https://github.com/nflverse/nflverse-data/blob/main/LICENSE.md)). This Actor filters and reshapes the rows (selects columns, converts numbers); it makes no other changes. Attribution: data © the nflverse contributors, CC BY 4.0. Not affiliated with or endorsed by nflverse or the NFL. If you redistribute the data, keep the attribution.

Freshness depends on nflverse release updates (typically within a day of games and injury report publication).

### Disclosure

This Actor was written with AI assistance (Claude).

### Related actors

- [RSS/Atom Feed Reader (bulk)](https://apify.com/pennydata/rss-atom-feed-reader-bulk): pull team and league news feeds next to the stats.
- [Lemmy Scraper](https://apify.com/pennydata/lemmy-scraper-posts-comments-communities): community discussion posts and comments.
- [Shot PDF](https://apify.com/pennydata/shot-pdf): saves a screenshot or PDF of a report page.

### Use with AI agents (MCP)

Call this actor from an AI agent (Claude, Cursor, or any MCP client) through the Apify MCP server. Add this URL as an MCP server in your client: https://mcp.apify.com?tools=pennydata/nfl-weekly-stats-injuries
It exposes this actor as a tool the agent can run with the same input as above. An Apify API token is required. This actor was built with AI assistance.

# Actor input Schema

## `dataset` (type: `string`):

player_stats: weekly player stats with fantasy points. injuries: weekly NFL injury report (report and practice status). injuryChanges: NFL injury report status and practice changes vs the previous week.

## `season` (type: `integer`):

NFL season year, for example 2025. Leave empty for the current season (falls back to the previous season if the new one has no data yet).

## `week` (type: `integer`):

Week number 1-22. Leave empty for the latest week that has data.

## `team` (type: `array`):

Team abbreviations such as KC, BUF, SF. Empty means all teams.

## `position` (type: `array`):

Positions such as QB, RB, WR, TE, K. Empty means all positions.

## `playerName` (type: `string`):

Case-insensitive substring match on the player name.

## `reportStatus` (type: `array`):

Keep only these game statuses, for example Out, Doubtful, Questionable. Empty means all rows.

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

Maximum rows to return (and be charged for).

## Actor input object example

```json
{
  "dataset": "injuries",
  "maxItems": 200
}
```

# 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 = {
    "dataset": "injuries",
    "maxItems": 200
};

// Run the Actor and wait for it to finish
const run = await client.actor("pennydata/nfl-weekly-stats-injuries").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 = {
    "dataset": "injuries",
    "maxItems": 200,
}

# Run the Actor and wait for it to finish
run = client.actor("pennydata/nfl-weekly-stats-injuries").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 '{
  "dataset": "injuries",
  "maxItems": 200
}' |
apify call pennydata/nfl-weekly-stats-injuries --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,pennydata/nfl-weekly-stats-injuries"
        }
    }
}
```

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/p4lO3OUblZydPmg4W/builds/jwav00uJUinKzbxzR/openapi.json