# Daily climate report for Charlotte, NC

**Use case:** 

The National Weather Service office in GREENVILLE-SPARTANBURG SC (KGSP) issues the Daily Climate Report (CLI) for Charlotte, NC under code CLT. This example parses the latest one into rows: yesterday's high and low with the time each was set, precipitation, snowfall and depth, heating and cooling degree days, plus the record and normal values printed beside them.

## Input

```json
{
  "locations": [
    "CLT"
  ],
  "reportsPerLocation": 1,
  "maxRetries": 3
}
```

## Output

```json
{
  "locationCode": {
    "label": "Site",
    "format": "string"
  },
  "stationName": {
    "label": "Station",
    "format": "string"
  },
  "climateDate": {
    "label": "Climate day",
    "format": "string"
  },
  "reportBasis": {
    "label": "Final or preliminary",
    "format": "string"
  },
  "maxTemperatureF": {
    "label": "High (F)",
    "format": "integer"
  },
  "maxTemperatureTimeLst": {
    "label": "High at",
    "format": "string"
  },
  "maxTemperatureDepartureF": {
    "label": "High vs normal",
    "format": "integer"
  },
  "maxTemperatureIsRecord": {
    "label": "Record high",
    "format": "boolean"
  },
  "minTemperatureF": {
    "label": "Low (F)",
    "format": "integer"
  },
  "minTemperatureTimeLst": {
    "label": "Low at",
    "format": "string"
  },
  "minTemperatureDepartureF": {
    "label": "Low vs normal",
    "format": "integer"
  },
  "averageTemperatureF": {
    "label": "Mean (F)",
    "format": "integer"
  },
  "precipitationInches": {
    "label": "Precip (in)",
    "format": "number"
  },
  "precipitationIsTrace": {
    "label": "Trace",
    "format": "boolean"
  },
  "snowfallInches": {
    "label": "Snow (in)",
    "format": "number"
  },
  "coreFieldsObserved": {
    "label": "Observed fields",
    "format": "integer"
  },
  "coreFieldsTotal": {
    "label": "of",
    "format": "integer"
  },
  "source": {
    "label": "Source",
    "format": "string"
  }
}
```

## About this Actor

This example demonstrates how to use [NWS Climate Data API - Daily Temperature by Weather Station](https://apify.com/neverempty/us-climate-reports.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/neverempty/us-climate-reports.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/neverempty/us-climate-reports.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).