# Refresh a multi-city NOAA climate report

**Use case:** 

Build a month of comparable official station-day weather records for New York, Seattle, and Chicago reporting pipelines.

## Input

```json
{
  "stationIds": [
    "USW00094728",
    "USW00024233",
    "USW00094846"
  ],
  "startDate": "2024-01-01",
  "endDate": "2024-01-31",
  "maxItems": 93,
  "includeAttributes": true
}
```

## Output

```json
{
  "stationId": {
    "label": "Station Id",
    "format": "string"
  },
  "stationName": {
    "label": "Station Name",
    "format": "string"
  },
  "date": {
    "label": "Date",
    "format": "string"
  },
  "temperatureMaxC": {
    "label": "Temperature Max C",
    "format": "number"
  },
  "temperatureMinC": {
    "label": "Temperature Min C",
    "format": "number"
  },
  "precipitationMm": {
    "label": "Precipitation Mm",
    "format": "number"
  },
  "snowfallMm": {
    "label": "Snowfall Mm",
    "format": "number"
  },
  "averageWindSpeedMetersPerSecond": {
    "label": "Average Wind Speed Meters Per Second",
    "format": "number"
  },
  "relativeHumidityAveragePercent": {
    "label": "Relative Humidity Average Percent",
    "format": "number"
  },
  "seaLevelPressureHpa": {
    "label": "Sea Level Pressure Hpa",
    "format": "number"
  },
  "sourceUrl": {
    "label": "Source Url",
    "format": "string"
  }
}
```

## About this Actor

This example demonstrates how to use [NOAA Historical Weather Observations](https://apify.com/automation-lab/noaa-historical-weather-observations.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/automation-lab/noaa-historical-weather-observations.md) to learn more, explore other use cases, and run it yourself.


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

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/automation-lab/noaa-historical-weather-observations.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).