# Scheduled Statcast Data Feed for Recent MLB Games

**Use case:** 

Run a Statcast data feed that pulls the latest completed MLB games through yesterday. Set the lookback window, attach an Apify schedule, and each run returns fresh pitch-level rows with velocity, spin rate, launch angle, and expected stats. Use it to keep a baseball database, dashboard, or model current without manual CSV exports.

## Input

```json
{
  "runMode": "incremental",
  "startDate": "",
  "endDate": "",
  "lookbackDays": 1,
  "playerType": "pitcher",
  "team": "",
  "outputMode": "pitchDetails",
  "leaderboardYear": 2026,
  "leaderboardType": "batter",
  "leaderboardMinPa": 50,
  "chunkDays": 3,
  "maxItems": 10,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}
```

## Output

```json
{
  "game_date": {
    "label": "Date",
    "format": "string"
  },
  "player_name": {
    "label": "Player",
    "format": "string"
  },
  "pitch_type": {
    "label": "Pitch Type",
    "format": "string"
  },
  "release_speed": {
    "label": "Velocity (mph)",
    "format": "number"
  },
  "launch_speed": {
    "label": "Exit Velo (mph)",
    "format": "number"
  },
  "launch_angle": {
    "label": "Launch Angle",
    "format": "number"
  },
  "release_spin_rate": {
    "label": "Spin Rate",
    "format": "number"
  },
  "events": {
    "label": "Event",
    "format": "string"
  },
  "description": {
    "label": "Description",
    "format": "string"
  },
  "home_team": {
    "label": "Home",
    "format": "string"
  },
  "away_team": {
    "label": "Away",
    "format": "string"
  },
  "inning": {
    "label": "Inning",
    "format": "number"
  },
  "game_pk": {
    "label": "Game PK",
    "format": "number"
  }
}
```

## How it works

### 1. Sign up on Apify or log in

The Baseball Savant Statcast Pitch Data Scraper with Scheduled Sync Actor is ready to run with the inputs already set for "Scheduled Statcast Data Feed for Recent MLB Games". [Sign up or log in](https://console.apify.com/create-task-from-example/Gzxj8G4jrPyTzbjih) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Scheduled Statcast Data Feed for Recent MLB Games" task

The Baseball Savant Statcast Pitch Data Scraper with Scheduled Sync Actor will start running based on the input automatically. You can also change all the input fields, like run mode, first-run lookback (days), and more, to match your specific use case.

### 3. Receive the "Scheduled Statcast Data Feed for Recent MLB Games" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as date, player, pitch type, and more.

### 4. Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also [run the "Scheduled Statcast Data Feed for Recent MLB Games" task via API](https://apify.com/getascraper/baseball-savant-scraper.md).

## About this Actor

This example demonstrates how to use [Baseball Savant Statcast Pitch Data Scraper with Scheduled Sync](https://apify.com/getascraper/baseball-savant-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/getascraper/baseball-savant-scraper.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

This Task's input is already configured above. Use it as-is rather than inventing a new one.

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 full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/getascraper/baseball-savant-scraper.md

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`).