# Tennis Player Match History Extractor (`scrapermaster/tennis-player-match-history`) Actor

Pull the full career match list of any tennis player: date, tournament, surface, round, ranking, opponent, score and link. Built on Tennis Abstract player pages. Export to JSON, CSV or Excel.

- **URL**: https://apify.com/scrapermaster/tennis-player-match-history.md
- **Developed by:** [Scraper Master](https://apify.com/scrapermaster) (community)
- **Categories:** Sports, Lead generation, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $8.14 / 1,000 results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

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 examples already wired to this Actor's own input schema, see the [API](#api) section below.

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`).

# README

## Tennis Player Match History Extractor

Give it a player, get back every match on record for that player as a clean table. Useful for form analysis, surface splits, head-to-head research and building betting or fantasy models.

### What you get

One row per match:

- date and tournament
- surface (hard, clay, grass, carpet) and round
- the player's ranking at the time
- opponent and final score
- link to the match record

### How to run it

1. Open the Actor and type the player name in the **Player** field, written as one word with no spaces (for example `NovakDjokovic`, `CarlosAlcaraz`, `IgaSwiatek`).
2. Optionally set **Maximum records** to cap the run.
3. Press **Start** and download the dataset as JSON, CSV or Excel.

#### Example input

```json
{
  "player": "CarlosAlcaraz",
  "maxItems": 200
}
```

### Good to know

- The name must match the spelling used by the source site, with first and last name joined.
- A player with no page returns an `error` row instead of failing the whole run.
- Each row carries a `scrapedAt` timestamp so you can track refreshes.
- Pricing is per result row, with a small fee when the run starts.

### Support

Found a missing field or a player that does not load? Open an issue on this Actor page with the player name and run ID.

# Actor input Schema

## `maxItems` (type: `integer`):

How many records to collect per run.

## `player` (type: `string`):

Tennis Abstract player slug (no spaces). Examples: NovakDjokovic, CarlosAlcaraz, IgaSwiatek, JannikSinner.

## Actor input object example

```json
{
  "maxItems": 10,
  "player": "NovakDjokovic"
}
```

# Actor output Schema

## `results` (type: `string`):

No description

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "maxItems": 10
};

// Run the Actor and wait for it to finish
const run = await client.actor("scrapermaster/tennis-player-match-history").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = { "maxItems": 10 }

# Run the Actor and wait for it to finish
run = client.actor("scrapermaster/tennis-player-match-history").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "maxItems": 10
}' |
apify call scrapermaster/tennis-player-match-history --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,scrapermaster/tennis-player-match-history"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/ButPA1MAZHB6L0GKb/builds/XmDVCBIogOb6UIfhB/openapi.json