# ATP Tournament Results Tracker

**Use case:** 

Get finished ATP tournament results from today's play in one run, with the tournament name, round, surface, both players rankings and the final set-by-set score. Use it to build a daily results recap for an ATP event or a weekly stats column without checking the tour website match by match. Swap the tour level filter to WTA, Challenger or ITF to track results for a different tour instead.

## Input

```json
{
  "mode": "schedule",
  "tourLevel": "atp",
  "statusFilter": "finished",
  "dateFrom": "2026-08-25",
  "dateTo": "2026-08-31",
  "matches": [
    "12836554"
  ],
  "includeStatistics": true,
  "includePointByPoint": false,
  "rankingTour": "atp",
  "query": "Carlos Alcaraz",
  "maxItems": 50,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

## Output

```json
{
  "matchName": {
    "label": "Match",
    "format": "string"
  },
  "tourLevel": {
    "label": "Tour",
    "format": "string"
  },
  "tournament": {
    "label": "Tournament",
    "format": "string"
  },
  "surface": {
    "label": "Surface",
    "format": "string"
  },
  "roundName": {
    "label": "Round",
    "format": "string"
  },
  "homeRanking": {
    "label": "Home Rank",
    "format": "number"
  },
  "awayRanking": {
    "label": "Away Rank",
    "format": "number"
  },
  "sets": {
    "label": "Sets",
    "format": "array"
  },
  "statusDescription": {
    "label": "Status",
    "format": "string"
  },
  "matchUrl": {
    "label": "Link",
    "format": "string"
  }
}
```

## About this Actor

This example demonstrates how to use [Tennis Live Scores Scraper: ATP, WTA, Sets, Stats and Rankings](https://apify.com/getascraper/tennis-live-scores-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/getascraper/tennis-live-scores-scraper.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/getascraper/tennis-live-scores-scraper.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`).