# Kalshi NBA and WNBA basketball markets

**Use case:** 

Every open Kalshi basketball market (all KXNBA and KXWNBA series: game winners, spreads, player props, season awards, trades, Hall of Fame) in one table with yes/no price, bid and ask, volume, open interest and close time. Public API, no Kalshi account. Kalshi moves basketball to its own exchange shard on 2026-09-10; this task keeps working through it.

## Input

```json
{
  "platforms": [
    "kalshi"
  ],
  "status": "open",
  "keywords": [],
  "categories": [
    "sports"
  ],
  "minVolume": 0,
  "minLiquidity": 0,
  "maxItems": 1000,
  "includeOrderbook": false,
  "lookbackDays": 7,
  "excludeMultiLeg": true,
  "kalshiSeriesTickers": [
    "KXNBA*",
    "KXWNBA*"
  ],
  "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.


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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).
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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).