# Tennis Atp Top10 Profiles Matches

**Use case:** 

Profiles for Sinner, Alcaraz, Djokovic and the rest of the ATP top 10: height, hand, backhand, peak rank, Elo, win-loss record and their last 30 matches.

## Input

```json
{
  "mode": "players",
  "tour": "atp",
  "players": [
    "Jannik Sinner",
    "Alexander Zverev",
    "Carlos Alcaraz",
    "Novak Djokovic",
    "Daniil Medvedev",
    "Taylor Fritz",
    "Casper Ruud",
    "Andrey Rublev",
    "Alex De Minaur",
    "Tommy Paul"
  ],
  "includeMatches": true,
  "maxMatchesPerPlayer": 30,
  "maxResults": 100,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

## Output

```json
{
  "name": {
    "label": "Player",
    "format": "text"
  },
  "country": {
    "label": "Country",
    "format": "text"
  },
  "currentRank": {
    "label": "Rank",
    "format": "number"
  },
  "peakRank": {
    "label": "Peak rank",
    "format": "number"
  },
  "age": {
    "label": "Age",
    "format": "number"
  },
  "heightCm": {
    "label": "Height (cm)",
    "format": "number"
  },
  "hand": {
    "label": "Hand",
    "format": "text"
  },
  "backhand": {
    "label": "Backhand",
    "format": "text"
  },
  "eloRating": {
    "label": "Elo",
    "format": "number"
  },
  "matchCount": {
    "label": "Matches",
    "format": "number"
  },
  "wins": {
    "label": "Wins",
    "format": "number"
  },
  "losses": {
    "label": "Losses",
    "format": "number"
  },
  "winPct": {
    "label": "Win %",
    "format": "number"
  },
  "twitter": {
    "label": "Twitter",
    "format": "text"
  },
  "playerUrl": {
    "label": "Profile",
    "format": "link"
  }
}
```

## About this Actor

This example demonstrates how to use [Tennis Abstract Scraper - Rankings, Elo & Player Stats](https://apify.com/scrapesage/tennis-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/scrapesage/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/scrapesage/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).
