# Miami-Dade School Board buildings in benchmarking

**Use case:** 

Buildings owned by the Miami-Dade School Board in the county benchmarking list, with address, floor area, year built and parcel.

## Input

```json
{
  "ownerKeyword": "SCHOOL BOARD",
  "maxBuildings": 25
}
```

## Output

```json
{
  "addressStreet": {
    "label": "Street address",
    "format": "string"
  },
  "city": {
    "label": "City",
    "format": "string"
  },
  "zip": {
    "label": "ZIP or postal code",
    "format": "string"
  },
  "parcelId": {
    "label": "Tax parcel / lot identifier",
    "format": "string"
  },
  "grossFloorAreaSqft": {
    "label": "Gross floor area",
    "format": "number"
  },
  "yearBuilt": {
    "label": "Year built",
    "format": "number"
  },
  "ownerName": {
    "label": "Owner or responsible organisation",
    "format": "string"
  },
  "cohort": {
    "label": "Program cohort / size group / building t",
    "format": "string"
  }
}
```

## How it works

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

The Miami-Dade Building Energy Benchmarking: Covered Buildings Actor is ready to run with the inputs already set for "Miami-Dade School Board buildings in benchmarking". [Sign up or log in](https://console.apify.com/create-task-from-example/5moEr58aFumCaVozw) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Miami-Dade School Board buildings in benchmarking" task

The Miami-Dade Building Energy Benchmarking: Covered Buildings Actor will start running based on the input automatically. You can also change all the input fields, like owner contains and max buildings, to match your specific use case.

### 3. Receive the "Miami-Dade School Board buildings in benchmarking" 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 street address, city, ZIP or postal code, 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 "Miami-Dade School Board buildings in benchmarking" task via API](https://apify.com/buildingsignal/miami-dade-building-benchmarking.md).

## About this Actor

This example demonstrates how to use [Miami-Dade Building Energy Benchmarking: Covered Buildings](https://apify.com/buildingsignal/miami-dade-building-benchmarking.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/buildingsignal/miami-dade-building-benchmarking.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/buildingsignal/miami-dade-building-benchmarking.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`).