# Tennis Player Match History Scraper — Every Match by Season

**Use case:** 

Scrape a tennis player's full match history by season: opponent, round, surface, score and result.

## Input

```json
{
  "entityType": "players",
  "dateFrom": "yesterday",
  "dateTo": "today",
  "tours": [
    "atp-single",
    "atp-double",
    "wta-single",
    "wta-double"
  ],
  "includeOdds": false,
  "includeMatchDetail": false,
  "rankingTour": "atp-men",
  "rankingType": "singles",
  "playerUrls": [
    {
      "url": "https://www.tennisexplorer.com/player/alcaraz-5ab70/"
    },
    {
      "url": "https://www.tennisexplorer.com/player/sinner-8b8e8/"
    }
  ],
  "playerMatchHistoryYears": 3,
  "maxItems": 10,
  "maxConcurrency": 8,
  "proxyConfiguration": {}
}
```

## Output

```json
{
  "player_id": {
    "label": "Player id",
    "format": "string"
  },
  "url": {
    "label": "Url",
    "format": "string"
  },
  "full_name": {
    "label": "Full name",
    "format": "string"
  },
  "country": {
    "label": "Country",
    "format": "string"
  },
  "sex": {
    "label": "Sex",
    "format": "string"
  },
  "birthdate": {
    "label": "Birthdate",
    "format": "string"
  },
  "age": {
    "label": "Age",
    "format": "number"
  },
  "height_cm": {
    "label": "Height cm",
    "format": "number"
  },
  "weight_kg": {
    "label": "Weight kg",
    "format": "number"
  },
  "plays": {
    "label": "Plays",
    "format": "string"
  },
  "rank_singles": {
    "label": "Rank singles",
    "format": "number"
  },
  "rank_singles_best": {
    "label": "Rank singles best",
    "format": "number"
  },
  "rank_doubles": {
    "label": "Rank doubles",
    "format": "number"
  },
  "rank_doubles_best": {
    "label": "Rank doubles best",
    "format": "number"
  },
  "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.


## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
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).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

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).
