# Export hourly Kalshi weather-market price candles for Austin

**Use case:** 

Read the historical hourly candles for the Austin highest-temperature market KXHIGHAUS-26JUL12-T97 in the shown July 2026 window. The reviewed proof returned 35 rows; source responses determine actual counts.

## Input

```json
{
  "marketTickers": [
    "KXHIGHAUS-26JUL12-T97"
  ],
  "startTime": "2026-07-11T14:00:00Z",
  "endTime": "2026-07-13T05:59:00Z",
  "periodInterval": 60
}
```

## Output

```json
{
  "recordType": {
    "label": "Record type"
  },
  "rowKey": {
    "label": "Row key (market:period:end)"
  },
  "marketTicker": {
    "label": "Market ticker"
  },
  "eventTicker": {
    "label": "Event ticker"
  },
  "seriesTicker": {
    "label": "Series ticker"
  },
  "eventTitle": {
    "label": "Event title"
  },
  "yesSubTitle": {
    "label": "YES subtitle"
  },
  "strikeType": {
    "label": "Strike type (source text)"
  },
  "marketStatus": {
    "label": "Market status"
  },
  "marketResult": {
    "label": "Market result"
  },
  "settlementTs": {
    "label": "Settlement time (source text, UTC)"
  },
  "settlementValueDollars": {
    "label": "YES/LONG settlement payout (USD decimal string)"
  },
  "expirationValue": {
    "label": "Expiration value (source settlement text)"
  },
  "marketDetailRoute": {
    "label": "Market detail route"
  },
  "marketCapturedAt": {
    "label": "Market detail received at (UTC)"
  },
  "eventSettlementSources": {
    "label": "Event settlement sources"
  },
  "eventCapturedAt": {
    "label": "Event received at (UTC)"
  },
  "candleRoute": {
    "label": "Candle route"
  },
  "historicalCutoffTs": {
    "label": "Historical cutoff (source text, UTC)"
  },
  "periodInterval": {
    "label": "Period (minutes)"
  },
  "endPeriodTs": {
    "label": "Period end (Unix seconds)"
  },
  "periodEnd": {
    "label": "Period end (UTC)"
  },
  "priceOpen": {
    "label": "Open price (USD decimal string)"
  },
  "priceHigh": {
    "label": "High price (USD decimal string)"
  },
  "priceLow": {
    "label": "Low price (USD decimal string)"
  },
  "priceClose": {
    "label": "Close price (USD decimal string)"
  },
  "priceMean": {
    "label": "Mean price (USD decimal string)"
  },
  "pricePrevious": {
    "label": "Previous price (USD decimal string)"
  },
  "yesBidOpen": {
    "label": "YES bid open (USD decimal string)"
  },
  "yesBidHigh": {
    "label": "YES bid high (USD decimal string)"
  },
  "yesBidLow": {
    "label": "YES bid low (USD decimal string)"
  },
  "yesBidClose": {
    "label": "YES bid close (USD decimal string)"
  },
  "yesAskOpen": {
    "label": "YES ask open (USD decimal string)"
  },
  "yesAskHigh": {
    "label": "YES ask high (USD decimal string)"
  },
  "yesAskLow": {
    "label": "YES ask low (USD decimal string)"
  },
  "yesAskClose": {
    "label": "YES ask close (USD decimal string)"
  },
  "volume": {
    "label": "Volume (contracts, decimal string)"
  },
  "openInterest": {
    "label": "Open interest (contracts, decimal string)"
  },
  "priceCurrency": {
    "label": "Price currency"
  },
  "quantityUnit": {
    "label": "Quantity unit"
  },
  "candlesCapturedAt": {
    "label": "Candles received at (UTC)"
  }
}
```

## About this Actor

This example demonstrates how to use [Kalshi Weather Price History](https://apify.com/danthedataman/kalshi-weather-price-history.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/danthedataman/kalshi-weather-price-history.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/danthedataman/kalshi-weather-price-history.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`).