# Live Tennis Scores API – ATP, WTA & ITF Matches

**Use case:** 

Get live ATP, WTA, Challenger and ITF tennis matches as normalized JSON with scores, players, tournaments and freshness data. No API key required.

## Input

```json
{
  "mode": "liveMatches",
  "eventIds": [],
  "statuses": [],
  "formats": [],
  "maxItems": 100,
  "maxCacheAgeMinutes": 90,
  "emit": "all",
  "minOddsProbabilityChange": 0.03
}
```

## Output

```json
{
  "recordType": {
    "label": "Record type"
  },
  "eventId": {
    "label": "Match ID",
    "format": "text"
  },
  "changeTypes": {
    "label": "Changes",
    "format": "array"
  },
  "status": {
    "label": "Status",
    "format": "text"
  },
  "tournament.name": {
    "label": "Tournament",
    "format": "text"
  },
  "players.home.name": {
    "label": "Player 1",
    "format": "text"
  },
  "players.away.name": {
    "label": "Player 2",
    "format": "text"
  },
  "score.home.current": {
    "label": "Player 1 sets",
    "format": "number"
  },
  "score.away.current": {
    "label": "Player 2 sets",
    "format": "number"
  },
  "startTime": {
    "label": "Start time",
    "format": "date"
  },
  "format": {
    "label": "Format",
    "format": "text"
  },
  "cacheUpdatedAt": {
    "label": "Cache updated",
    "format": "date"
  },
  "isCacheStale": {
    "label": "Stale",
    "format": "boolean"
  },
  "scrapedAt": {
    "label": "Collected at",
    "format": "date"
  }
}
```

## About this Actor

This example demonstrates how to use [Tennis Match Intelligence – Live Scores & Fixtures](https://apify.com/fetchfinch/tennis-match-monitor) with a specific input configuration. Visit the [Actor detail page](https://apify.com/fetchfinch/tennis-match-monitor) 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`.
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- **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/fetchfinch/tennis-match-monitor.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).