# Where Sinner and Alcaraz stand in the ranking and the race

**Use case:** 

Jannik Sinner's and Carlos Alcaraz's ATP ranking and Race to Turin position with points. Type other names to track your own players. About $0.008.

## Input

```json
{
  "rankings": [
    "atp",
    "atp-race"
  ],
  "maxEntries": 100,
  "players": [
    "Jannik Sinner",
    "Carlos Alcaraz"
  ],
  "countries": []
}
```

## Output

```json
{
  "rank": {
    "label": "Rank",
    "format": "integer"
  },
  "name": {
    "label": "Name",
    "format": "string"
  },
  "country": {
    "label": "Country",
    "format": "string"
  },
  "points": {
    "label": "Points",
    "format": "integer"
  },
  "rankChange": {
    "label": "Rank change",
    "format": "integer"
  },
  "previousRank": {
    "label": "Previous rank",
    "format": "integer"
  },
  "rankingName": {
    "label": "Ranking name",
    "format": "string"
  },
  "rankingDate": {
    "label": "Ranking date",
    "format": "string"
  },
  "playerUrl": {
    "label": "Player link",
    "format": "string"
  }
}
```

## How it works

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

The ATP and WTA Tennis Rankings Scraper Actor is ready to run with the inputs already set for "Where Sinner and Alcaraz stand in the ranking and the race". [Sign up or log in](https://console.apify.com/create-task-from-example/ujnJ37r5PIpBIiVeO) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Where Sinner and Alcaraz stand in the ranking and the race" task

The ATP and WTA Tennis Rankings Scraper Actor will start running based on the input automatically. You can also change all the input fields, like ranking lists, entries per list, and more, to match your specific use case.

### 3. Receive the "Where Sinner and Alcaraz stand in the ranking and the race" 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 rank, name, country, 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 "Where Sinner and Alcaraz stand in the ranking and the race" task via API](https://apify.com/cleanscrape/tennis-rankings-scraper.md).

## About this Actor

This example demonstrates how to use [ATP and WTA Tennis Rankings Scraper](https://apify.com/cleanscrape/tennis-rankings-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/cleanscrape/tennis-rankings-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/cleanscrape/tennis-rankings-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`).