# Global city temperatures for Polymarket weather markets (METAR)

**Use case:** 

METAR observations and daily max/min for the airports Polymarket's temperature markets resolve on: Beijing ZBAA, London EGLL, Paris LFPG, Tokyo RJTT, Seoul RKSI, Moscow UUEE, Dubai OMDB, Sao Paulo SBGR, Buenos Aires SAEZ, Sydney YSSY. One row per report plus one daily row per station-day with max and min. Add any ICAO code. Public aviation weather data, no login. $0.50 per 1,000 rows.

## Input

```json
{
  "mode": "stations",
  "cities": [
    "miami",
    "dfw",
    "houston"
  ],
  "stations": [
    "ZBAA",
    "EGLL",
    "LFPG",
    "RJTT",
    "RKSI",
    "UUEE",
    "OMDB",
    "SBGR",
    "SAEZ",
    "YSSY"
  ],
  "lastDays": 2,
  "sources": [
    "metar"
  ],
  "lastHours": 24,
  "detailed": false,
  "maxItems": 2000,
  "compact": false,
  "archiveOnly": false,
  "alignToHour": false
}
```

## Output

```json
{
  "type": {
    "label": "Type"
  },
  "source": {
    "label": "Source"
  },
  "city": {
    "label": "City"
  },
  "date": {
    "label": "Date"
  },
  "station": {
    "label": "Station"
  },
  "time": {
    "label": "Time"
  },
  "temperatureF": {
    "label": "°F"
  },
  "dewpointF": {
    "label": "Dewpoint °F"
  },
  "windSpeedKt": {
    "label": "Wind kt"
  },
  "cliMaxF": {
    "label": "CLI max °F"
  },
  "cliMinF": {
    "label": "CLI min °F"
  },
  "cliPrecipIn": {
    "label": "CLI precip in"
  },
  "metarMaxF": {
    "label": "Metar max f"
  },
  "nwsMaxF": {
    "label": "Nws max f"
  }
}
```

## About this Actor

This example demonstrates how to use [Kalshi Weather Index, Station Obs & Settlement Audit](https://apify.com/gratified_ashram/kalshi-weather-index.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/gratified_ashram/kalshi-weather-index.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/gratified_ashram/kalshi-weather-index.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`).