# Upcoming WTA singles fixtures with pre-match odds

**Use case:** 

Upcoming WTA singles fixtures, each enriched from its match page with the head-to-head record, the number of bookmakers quoting, and the best and average odds on each player.

## Input

```json
{
  "mode": "upcoming",
  "tour": "wta-single",
  "rankingTour": "atp",
  "includeMatchDetails": true,
  "maxMatchDetails": 150,
  "maxResults": 150,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

## Output

```json
{
  "date": {
    "label": "Date",
    "format": "text"
  },
  "tournament": {
    "label": "Tournament",
    "format": "text"
  },
  "player1": {
    "label": "Player 1",
    "format": "text"
  },
  "player2": {
    "label": "Player 2",
    "format": "text"
  },
  "oddsPlayer1": {
    "label": "Close P1",
    "format": "number"
  },
  "oddsPlayer2": {
    "label": "Close P2",
    "format": "number"
  },
  "bestOddsPlayer1": {
    "label": "Best P1",
    "format": "number"
  },
  "bestOddsPlayer2": {
    "label": "Best P2",
    "format": "number"
  },
  "avgOddsPlayer1": {
    "label": "Avg P1",
    "format": "number"
  },
  "avgOddsPlayer2": {
    "label": "Avg P2",
    "format": "number"
  },
  "oddsBookmakerCount": {
    "label": "Bookmakers",
    "format": "number"
  },
  "h2hPlayer1Wins": {
    "label": "H2H P1",
    "format": "number"
  },
  "h2hPlayer2Wins": {
    "label": "H2H P2",
    "format": "number"
  },
  "matchUrl": {
    "label": "Match",
    "format": "link"
  }
}
```

## About this Actor

This example demonstrates how to use [TennisExplorer Scraper - Results, Odds, Fixtures & Rankings](https://apify.com/scrapesage/tennisexplorer-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/scrapesage/tennisexplorer-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/scrapesage/tennisexplorer-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`).