# Tennis results with point-by-point data

**Use case:** 

Get the finished ATP and WTA matches of the last two days from Flashscore with the score of every set and point-by-point data: every game with the server, the winner, breaks and the points in order, with break, set and match points counted. Use it for player analytics, betting models and match reports.

## Input

```json
{
  "sports": [
    "tennis"
  ],
  "days": [
    "-1",
    "-2"
  ],
  "timezone": "UTC",
  "statuses": [
    "finished"
  ],
  "countries": [
    "ATP",
    "WTA"
  ],
  "topLeaguesOnly": false,
  "includeIncidents": false,
  "includeStatistics": false,
  "includeLineups": false,
  "includeMissingPlayers": false,
  "includeOdds": false,
  "oddsCountry": "GB",
  "oddsScopes": [
    "FULL_TIME"
  ],
  "includeH2H": false,
  "h2hLimit": 10,
  "includePointByPoint": true,
  "includeStandings": false,
  "includeMarkdown": false,
  "maxItems": 20,
  "maxMatchesPerLeague": 200,
  "onlyChanged": false,
  "proxyConfiguration": {
    "useApifyProxy": true
  },
  "maxConcurrency": 8,
  "maxRetries": 5
}
```

## Output

```json
{
  "localDate": {
    "label": "Date (local)",
    "format": "string"
  },
  "sport": {
    "label": "Sport",
    "format": "string"
  },
  "country": {
    "label": "Country / category",
    "format": "string"
  },
  "competition": {
    "label": "Competition",
    "format": "string"
  },
  "homeTeam": {
    "label": "Home",
    "format": "string"
  },
  "scoreText": {
    "label": "Score",
    "format": "string"
  },
  "awayTeam": {
    "label": "Away",
    "format": "string"
  },
  "statusDetail": {
    "label": "Status detail",
    "format": "string"
  },
  "winner": {
    "label": "Winner",
    "format": "string"
  },
  "startTime": {
    "label": "Start (UTC)",
    "format": "string"
  },
  "url": {
    "label": "Match URL",
    "format": "string"
  }
}
```

## How it works

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

The Flashscore Scraper: Live Scores, Results & Odds Actor is ready to run with the inputs already set for "Tennis results with point-by-point data". [Sign up or log in](https://console.apify.com/create-task-from-example/YPQLyIAFAtMD0Kxih) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Tennis results with point-by-point data" task

The Flashscore Scraper: Live Scores, Results & Odds Actor will start running based on the input automatically. You can also change all the input fields, like sports, days, and more, to match your specific use case.

### 3. Receive the "Tennis results with point-by-point data" 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 (local), sport, country / category, 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 "Tennis results with point-by-point data" task via API](https://apify.com/panix/flashscore-scraper.md).

## FAQ

### What does the point-by-point data contain?

The tennis point-by-point task lists every game with the server, the game winner and whether it was a break, then the points in order, with break points, set points and match points counted.

### Which tournaments are included?

The tennis point-by-point task keeps ATP and WTA matches through Countries or categories. Clear that filter to include Challenger, ITF and other events, or name one player in Teams or players.

### How much does the tennis point-by-point task cost?

The tennis point-by-point task costs $0.0009 per match plus $0.003 for its details on the Apify Free plan; Starter pays $0.0008 and $0.0025, less on bigger plans, plus $0.001 per run.

## About this Actor

This example demonstrates how to use [Flashscore Scraper: Live Scores, Results & Odds](https://apify.com/panix/flashscore-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/panix/flashscore-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/panix/flashscore-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`).