# WTA live scores today: scores, schedule and results

**Use case:** 

Today's WTA singles matches in one list: live scores, finished results and the order of play still to come, with round, tournament, both players' WTA rank and Elo and serve statistics. The example returns up to 60 matches; set Max items higher for more.

## Input

```json
{
  "mode": "matches",
  "dateFrom": "today",
  "tours": [
    "wta"
  ],
  "matchType": "singles",
  "status": "all",
  "players": [],
  "tournaments": [],
  "includeStatistics": true,
  "includeRankings": true,
  "includeOdds": false,
  "oddsCountry": "GB",
  "sortBy": "tour",
  "maxItems": 60
}
```

## Output

```json
{
  "date": {
    "label": "Day (UTC)",
    "format": "text"
  },
  "startTime": {
    "label": "Start",
    "format": "date"
  },
  "tour": {
    "label": "Tour",
    "format": "text"
  },
  "tournament": {
    "label": "Tournament",
    "format": "text"
  },
  "tournamentStage": {
    "label": "Stage",
    "format": "text"
  },
  "surface": {
    "label": "Surface",
    "format": "text"
  },
  "player1Name": {
    "label": "Player 1",
    "format": "text"
  },
  "player1Rank": {
    "label": "Rank 1",
    "format": "number"
  },
  "player2Name": {
    "label": "Player 2",
    "format": "text"
  },
  "player2Rank": {
    "label": "Rank 2",
    "format": "number"
  },
  "round": {
    "label": "Round",
    "format": "text"
  },
  "player1Elo": {
    "label": "Elo 1",
    "format": "number"
  },
  "player2Elo": {
    "label": "Elo 2",
    "format": "number"
  },
  "player1EloWinProbability": {
    "label": "Elo win prob. 1",
    "format": "number"
  },
  "status": {
    "label": "Status",
    "format": "text"
  },
  "score": {
    "label": "Score",
    "format": "text"
  },
  "winnerName": {
    "label": "Winner",
    "format": "text"
  },
  "odds.player1Best": {
    "label": "Best odds 1",
    "format": "number"
  },
  "odds.player2Best": {
    "label": "Best odds 2",
    "format": "number"
  },
  "odds.player1Probability": {
    "label": "Win prob. 1",
    "format": "number"
  },
  "odds.player2Probability": {
    "label": "Win prob. 2",
    "format": "number"
  },
  "url": {
    "label": "Match",
    "format": "link"
  }
}
```

## How it works

### 1. Sign up on Apify or log in

The Tennis Live Scores - ATP, WTA, Challenger & ITF Actor is ready to run with the inputs already set for "WTA live scores today: scores, schedule and results". [Sign up or log in](https://console.apify.com/create-task-from-example/cUyuXzABPf08sIqKy) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "WTA live scores today: scores, schedule and results" task

The Tennis Live Scores - ATP, WTA, Challenger & ITF Actor will start running based on the input automatically. You can also change all the input fields, like mode, from day (utc), and more, to match your specific use case.

### 3. Receive the "WTA live scores today: scores, schedule and results" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as day (utc), start, tour, and more.

### 4. Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also [run the "WTA live scores today: scores, schedule and results" task via API](https://apify.com/crawlplant/tennis-live-scores.md).

## About this Actor

This example demonstrates how to use [Tennis Live Scores - ATP, WTA, Challenger & ITF](https://apify.com/crawlplant/tennis-live-scores.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/crawlplant/tennis-live-scores.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/crawlplant/tennis-live-scores.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`).