# Get upcoming tennis matches for the week ahead

**Use case:** 

Get upcoming ATP and WTA tennis matches scheduled for the week ahead: players, tournament, surface and start time.

## Input

```json
{
  "days": [
    1,
    2,
    3,
    4,
    5,
    6,
    7
  ],
  "status": "scheduled",
  "tour": "ATP",
  "tournamentName": "US Open",
  "playerName": "Djokovic",
  "matchIds": [
    "6k4MeS57"
  ],
  "includeStatistics": false,
  "includeHeadToHead": false,
  "maxResults": 100
}
```

## Output

```json
{
  "tournamentName": {
    "label": "Tournament"
  },
  "tour": {
    "label": "Tour"
  },
  "surface": {
    "label": "Surface"
  },
  "status": {
    "label": "Status"
  },
  "startTime": {
    "label": "Start (UTC)"
  },
  "homePlayerName": {
    "label": "Home"
  },
  "awayPlayerName": {
    "label": "Away"
  },
  "scoreLine": {
    "label": "Score"
  },
  "winner": {
    "label": "Winner"
  },
  "hasStatistics": {
    "label": "Has stats"
  },
  "matchUrl": {
    "label": "Flashscore page"
  }
}
```

## About this Actor

This example demonstrates how to use [Flashscore Tennis Scraper - Stats, Scores, H2H](https://apify.com/webdata_labs/flashscore-tennis-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/webdata_labs/flashscore-tennis-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/webdata_labs/flashscore-tennis-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).
