# Kalshi Rain Markets, Daily and Monthly (Live)

**Use case:** 

Live Kalshi rain markets in one run: daily rain (KXRAIN) for 28 cities and monthly rain totals, with yes bid/ask, implied probability, volume and the station each market settles on (rain often settles on a different station than temperature). JSON, CSV or Excel; no API key.

## Input

```json
{
  "cities": [
    "all"
  ],
  "seriesType": "rain",
  "mode": "live",
  "lookbackDays": 90,
  "includeTrades": false,
  "includeOrderbook": false
}
```

## Output

```json
{
  "ticker": {
    "label": "Ticker",
    "format": "text"
  },
  "date": {
    "label": "Market date",
    "format": "text"
  },
  "city": {
    "label": "City",
    "format": "text"
  },
  "bracket_label": {
    "label": "Bracket",
    "format": "text"
  },
  "status": {
    "label": "Status",
    "format": "text"
  },
  "yes_bid": {
    "label": "Yes bid $",
    "format": "number"
  },
  "yes_ask": {
    "label": "Yes ask $",
    "format": "number"
  },
  "implied_probability": {
    "label": "Implied prob.",
    "format": "number"
  },
  "last_price": {
    "label": "Last $",
    "format": "number"
  },
  "open_interest": {
    "label": "Open interest",
    "format": "number"
  },
  "settlement_temp_f": {
    "label": "Settled °F",
    "format": "number"
  },
  "result": {
    "label": "Result",
    "format": "text"
  }
}
```

## How it works

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

The Kalshi Weather Markets API — Temperature & Rain Odds Actor is ready to run with the inputs already set for "Kalshi Rain Markets, Daily and Monthly (Live)". [Sign up or log in](https://console.apify.com/create-task-from-example/iDXsO5Xrl60Dgmr4U) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Kalshi Rain Markets, Daily and Monthly (Live)" task

The Kalshi Weather Markets API — Temperature & Rain Odds Actor will start running based on the input automatically. You can also change all the input fields, like cities, series type, and more, to match your specific use case.

### 3. Receive the "Kalshi Rain Markets, Daily and Monthly (Live)" 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 ticker, market date, city, 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 "Kalshi Rain Markets, Daily and Monthly (Live)" task via API](https://apify.com/bigdavidson/kalshi-weather-markets.md).

## About this Actor

This example demonstrates how to use [Kalshi Weather Markets API — Temperature & Rain Odds](https://apify.com/bigdavidson/kalshi-weather-markets.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/bigdavidson/kalshi-weather-markets.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/bigdavidson/kalshi-weather-markets.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`).