# ATP rankings in Sackmann atp_rankings.csv format, 2025

**Use case:** 

Weekly ATP top 20 of 2025 in the columns of Jeff Sackmann's atp_rankings file: ranking_date, rank, player, points, plus name and official id. Drop it into an existing pipeline built on his files; the example returns 1,000 rows, raise Max items for deeper lists.

## Input

```json
{
  "mode": "rankings",
  "rankingLists": [
    "atp"
  ],
  "rankingDate": "2025-01-01",
  "rankingDateTo": "2025-12-31",
  "maxRank": 20,
  "rankingFormat": "sackmann",
  "maxItems": 1000
}
```

## Output

```json
{
  "ranking_date": {
    "label": "Date",
    "format": "text"
  },
  "rank": {
    "label": "Rank",
    "format": "number"
  },
  "player": {
    "label": "Player id",
    "format": "text"
  },
  "points": {
    "label": "Points",
    "format": "number"
  },
  "name": {
    "label": "Name",
    "format": "text"
  },
  "official_id": {
    "label": "Official id",
    "format": "text"
  },
  "list": {
    "label": "List",
    "format": "text"
  }
}
```

## How it works

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

The ATP & WTA Tennis Rankings - Current & Weekly History Actor is ready to run with the inputs already set for "ATP rankings in Sackmann atp_rankings.csv format, 2025". [Sign up or log in](https://console.apify.com/create-task-from-example/kI2Oy4WNzUBSRghcr) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "ATP rankings in Sackmann atp_rankings.csv format, 2025" task

The ATP & WTA Tennis Rankings - Current & Weekly History Actor will start running based on the input automatically. You can also change all the input fields, like mode, ranking lists, and more, to match your specific use case.

### 3. Receive the "ATP rankings in Sackmann atp_rankings.csv format, 2025" 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 date, rank, player id, 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 "ATP rankings in Sackmann atp_rankings.csv format, 2025" task via API](https://apify.com/crawlplant/tennis-rankings.md).

## About this Actor

This example demonstrates how to use [ATP & WTA Tennis Rankings - Current & Weekly History](https://apify.com/crawlplant/tennis-rankings.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/crawlplant/tennis-rankings.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-rankings.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`).