# Politics odds: Kalshi vs Polymarket side by side

**Use case:** 

Every open politics and elections market on Kalshi and Polymarket with at least $1,000 of volume, in one table: question, yes/no price, best bid and ask, spread, 24h volume, liquidity, close time and a link. Same field names for both exchanges, so you can sort by price gap and spot where the two crowds disagree. Run it hourly on a schedule to build your own odds history.

## Input

```json
{
  "platforms": [
    "kalshi",
    "polymarket"
  ],
  "status": "open",
  "keywords": [],
  "categories": [
    "politics",
    "elections"
  ],
  "minVolume": 1000,
  "minLiquidity": 0,
  "maxItems": 300,
  "includeOrderbook": false,
  "lookbackDays": 7,
  "excludeMultiLeg": true,
  "kalshiSeriesTickers": [],
  "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).
