# ATP Doubles Rankings Scraper — Full Table with Points

**Use case:** 

Scrape the ATP doubles rankings: rank, movement, player, country and points, for any published week.

## Input

```json
{
  "entityType": "rankings",
  "dateFrom": "yesterday",
  "dateTo": "today",
  "tours": [
    "atp-single",
    "atp-double",
    "wta-single",
    "wta-double"
  ],
  "includeOdds": false,
  "includeMatchDetail": false,
  "rankingTour": "atp-men",
  "rankingType": "doubles",
  "playerUrls": [],
  "playerMatchHistoryYears": 0,
  "maxItems": 200,
  "maxConcurrency": 8,
  "proxyConfiguration": {}
}
```

## Output

```json
{
  "rank": {
    "label": "Rank",
    "format": "number"
  },
  "previous_rank": {
    "label": "Previous rank",
    "format": "number"
  },
  "move": {
    "label": "Move",
    "format": "number"
  },
  "player_id": {
    "label": "Player id",
    "format": "string"
  },
  "player_name": {
    "label": "Player name",
    "format": "string"
  },
  "country": {
    "label": "Country",
    "format": "string"
  },
  "points": {
    "label": "Points",
    "format": "number"
  },
  "tour": {
    "label": "Tour",
    "format": "string"
  },
  "ranking_type": {
    "label": "Ranking type",
    "format": "string"
  },
  "ranking_date": {
    "label": "Ranking date",
    "format": "string"
  },
  "scraped_at": {
    "label": "Scraped at",
    "format": "string"
  }
}
```

## About this Actor

This example demonstrates how to use [TennisExplorer Scraper — ATP/WTA Results, Rankings, Players](https://apify.com/oswaldocarabano/tennisexplorer-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/oswaldocarabano/tennisexplorer-scraper.md) to learn more, explore other use cases, and run it yourself.


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If asked about integration, you help developers integrate Actors into their projects.
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This Task's input is already configured above — use it as-is rather than inventing a new one.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
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For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/oswaldocarabano/tennisexplorer-scraper.md

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).