# Kalshi weather markets: daily high and low temperature

**Use case:** 

Every Kalshi daily high and daily low temperature market (all KXHIGH and KXLOW city series) in one table: bracket question, yes/no price, bid and ask, volume, open interest, close time, and the result for settled brackets. Open brackets plus the last 30 days of settlements in one run, straight from Kalshi's public API with no login. Schedule it hourly to build your own weather-odds history.

## Input

```json
{
  "platforms": [
    "kalshi"
  ],
  "status": "both",
  "keywords": [],
  "categories": [
    "weather"
  ],
  "minVolume": 0,
  "minLiquidity": 0,
  "maxItems": 1000,
  "includeOrderbook": false,
  "lookbackDays": 30,
  "excludeMultiLeg": true,
  "kalshiSeriesTickers": [
    "KXHIGH*",
    "KXLOW*"
  ],
  "polymarketTagIds": [],
  "language": "en",
  "archiveOnly": false
}
```

## Output

```json
{
  "platform": {
    "label": "Platform"
  },
  "question": {
    "label": "Question"
  },
  "category": {
    "label": "Category"
  },
  "status": {
    "label": "Status"
  },
  "yesPrice": {
    "label": "Yes"
  },
  "noPrice": {
    "label": "No"
  },
  "yesBid": {
    "label": "Yes bid"
  },
  "yesAsk": {
    "label": "Yes ask"
  },
  "volume": {
    "label": "Volume"
  },
  "volume24h": {
    "label": "Volume24h"
  },
  "liquidity": {
    "label": "Liquidity"
  },
  "closeTime": {
    "label": "Close time"
  },
  "result": {
    "label": "Result"
  },
  "url": {
    "label": "Market",
    "format": "link"
  }
}
```

## About this Actor

This example demonstrates how to use [Prediction Markets Scraper – Kalshi + Polymarket Odds & Prices](https://apify.com/gratified_ashram/prediction-markets-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/gratified_ashram/prediction-markets-scraper.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/gratified_ashram/prediction-markets-scraper.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).
