# Historical Tennis Data Scraper — CSV Export Back to 1995

**Use case:** 

Download historical tennis results as CSV or JSON. Full seasons back to 1995, with bulk pricing for large backfills.

## Input

```json
{
  "entityType": "results",
  "dateFrom": "2024-05-01",
  "dateTo": "2024-05-31",
  "tours": [
    "atp-single",
    "atp-double",
    "wta-single",
    "wta-double"
  ],
  "includeOdds": false,
  "includeMatchDetail": false,
  "rankingTour": "atp-men",
  "rankingType": "singles",
  "playerUrls": [],
  "playerMatchHistoryYears": 0,
  "maxItems": 5000,
  "maxConcurrency": 8,
  "proxyConfiguration": {}
}
```

## Output

```json
{
  "match_id": {
    "label": "Match ID",
    "format": "string"
  },
  "url": {
    "label": "URL",
    "format": "string"
  },
  "date_utc": {
    "label": "Date (UTC)",
    "format": "string"
  },
  "start_time_utc": {
    "label": "Start (UTC)",
    "format": "string"
  },
  "status": {
    "label": "Status",
    "format": "string"
  },
  "tour": {
    "label": "Tour",
    "format": "string"
  },
  "kind": {
    "label": "Singles / doubles",
    "format": "string"
  },
  "tournament_name": {
    "label": "Tournament",
    "format": "string"
  },
  "tournament_country": {
    "label": "Country",
    "format": "string"
  },
  "home_name": {
    "label": "Home",
    "format": "string"
  },
  "away_name": {
    "label": "Away",
    "format": "string"
  },
  "winner": {
    "label": "Winner",
    "format": "string"
  },
  "score": {
    "label": "Score",
    "format": "string"
  },
  "home_sets": {
    "label": "Sets H",
    "format": "number"
  },
  "away_sets": {
    "label": "Sets A",
    "format": "number"
  },
  "surface": {
    "label": "Surface",
    "format": "string"
  },
  "round": {
    "label": "Round",
    "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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This Task's input is already configured above — use it as-is rather than inventing a new one.

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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).
