# ITF Match Results

**Use case:** 

Retrieve indexed ITF singles results for a selected date window. The example covers January 6-12, 2025; dates may represent tournament editions rather than match days. Coverage is partial, with no match statistics or live scores.

## Input

```json
{
  "mode": "matches",
  "tour": "itf",
  "dateFrom": "2025-01-06",
  "dateTo": "2025-01-12",
  "statuses": [
    "completed",
    "retired"
  ],
  "playerA": "Jannik Sinner",
  "playerB": "Carlos Alcaraz",
  "player": "Jannik Sinner",
  "lookupKind": "all",
  "order": "newest",
  "limit": 100
}
```

## Output

```json
{
  "record_type": {
    "label": "Record Type",
    "format": "string"
  },
  "mode": {
    "label": "Mode",
    "format": "string"
  },
  "date": {
    "label": "Date",
    "format": "string"
  },
  "tour": {
    "label": "Tour",
    "format": "string"
  },
  "tournament": {
    "label": "Tournament",
    "format": "string"
  },
  "round": {
    "label": "Round",
    "format": "string"
  },
  "winner_id": {
    "label": "Winner Id",
    "format": "string"
  },
  "loser_id": {
    "label": "Loser Id",
    "format": "string"
  },
  "score": {
    "label": "Score",
    "format": "string"
  },
  "status": {
    "label": "Status",
    "format": "string"
  },
  "notice": {
    "label": "Notice",
    "format": "string"
  }
}
```

## About this Actor

This example demonstrates how to use [Tennis Data API: Live Scores, ATP WTA ITF Results & Rankings](https://apify.com/shelvick/tennis-data-index.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/shelvick/tennis-data-index.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

This Task's input is already configured above. Use it as-is rather than inventing a new one.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/shelvick/tennis-data-index.md

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).