# Export New York Mega Millions rows

**Use case:** 

Fetch bounded public rows plus schema metadata from the official New York State Mega Millions winning numbers open dataset on data.ny.gov.

## Input

```json
{
  "query": "transportation",
  "datasetIds": [
    "5xaw-6ayf"
  ],
  "maxCatalogItems": 20,
  "rowsPerDataset": 10,
  "includeCatalog": true
}
```

## Output

```json
{
  "recordType": {
    "label": "Record type",
    "format": "string"
  },
  "datasetId": {
    "label": "Dataset ID",
    "format": "string"
  },
  "name": {
    "label": "Dataset",
    "format": "string"
  },
  "datasetName": {
    "label": "Row dataset",
    "format": "string"
  },
  "category": {
    "label": "Category",
    "format": "string"
  },
  "updatedAt": {
    "label": "Updated",
    "format": "string"
  },
  "rowIndex": {
    "label": "Row index",
    "format": "number"
  },
  "data": {
    "label": "Row data",
    "format": "object"
  },
  "sourceUrl": {
    "label": "Source",
    "format": "string"
  },
  "fetchedAt": {
    "label": "Fetched",
    "format": "string"
  }
}
```

## About this Actor

This example demonstrates how to use [New York State Open Data Scraper](https://apify.com/automation-lab/new-york-open-data-catalog-export.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/automation-lab/new-york-open-data-catalog-export.md) to learn more, explore other use cases, and run it yourself.


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

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For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/automation-lab/new-york-open-data-catalog-export.md

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).
