# ATP & Challenger Singles Match Results

**Use case:** 

Export a player's singles matches: tournament, city, date, scoreline, every point in play order and the full statistics table. Doubles filtered free.

## Input

```json
{
  "operation": "scrape-matches",
  "playerIds": [
    "2c904221-da66-408c-aaa3-a02202f7d5bf"
  ],
  "search": "Dinev",
  "maxPlayers": 100,
  "tournamentIds": [
    "33333333-3333-4333-8333-333333333333"
  ],
  "maxTournaments": 100,
  "matchRequests": [],
  "maxMatchesPerPlayer": 4,
  "maxMatchesPerTournament": 0,
  "maxTotalMatches": 4,
  "matchFormat": "singles",
  "includePoints": true,
  "includeStats": true
}
```

## Output

```json
{
  "recordType": {
    "label": "🗂️ Type",
    "format": "string"
  },
  "matchFormat": {
    "label": "Format",
    "format": "string"
  },
  "exclusionReason": {
    "label": "Exclusion",
    "format": "string"
  },
  "fullName": {
    "label": "Player",
    "format": "string"
  },
  "playerId": {
    "label": "🏷️ Player ID",
    "format": "string"
  },
  "requestedPlayerIds": {
    "label": "Requested player ids",
    "format": "array"
  },
  "tournamentId": {
    "label": "🏷️ Tournament ID",
    "format": "string"
  },
  "city": {
    "label": "🏙️ City",
    "format": "string"
  },
  "title": {
    "label": "Match",
    "format": "string"
  },
  "tournament": {
    "label": "🔤 Tournament",
    "format": "string"
  },
  "completedAt": {
    "label": "📅 Date",
    "format": "string"
  },
  "location": {
    "label": "📍 Location",
    "format": "string"
  },
  "pointCount": {
    "label": "Points",
    "format": "integer"
  },
  "matchId": {
    "label": "🏷️ Match ID",
    "format": "string"
  }
}
```

## About this Actor

This example demonstrates how to use [Tennis Point-by-Point Scraper — Rally & Match Stats](https://apify.com/sian.agency/tennis-point-by-point-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/sian.agency/tennis-point-by-point-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`.
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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/sian.agency/tennis-point-by-point-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).