# Tennis Scores Scraper — ATP & WTA Live Scores & Rankings (`seemuapps/tennis-scraper`) Actor

Get live tennis scores, results, schedules, and world rankings for ATP and WTA tours. Set-by-set scores, rounds, courts, player countries. No API key.

- **URL**: https://apify.com/seemuapps/tennis-scraper.md
- **Developed by:** [Andrew](https://apify.com/seemuapps) (community)
- **Categories:** Automation, Other, News
- **Stats:** 1 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $5.00 / 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.

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

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.
Actors are written with capital "A".

## 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.
The best way to integrate Actors is as follows.

- **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 usage examples, see the [API](#api) section below.

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).

# README

## Tennis Scores Scraper — ATP & WTA Live Scores & Rankings

Get live tennis scores, completed results, upcoming schedules, and current world rankings for the ATP and WTA tours — no API key, no login.

### What you get

- **Matches**: tournament name, draw (Men's/Women's Singles & Doubles), round, scheduled start time, live/final status, and the venue and court for every match
- **Set-by-set scores** with tiebreak points, winner flags, and a ready-formatted score line like `7-6(7) 3-6 6-1`
- **Players**: name, ESPN player ID, and country for both sides of every match
- **World rankings** (optional): current rank, previous rank, trend, and ranking points for every ranked ATP and WTA player
- Export to JSON, CSV, Excel, or Google Sheets directly from the Apify console

### Use cases

- Live score feeds and match trackers for sports apps, Discord/Slack bots, and widgets
- Sports betting research and model building — results with set detail, day by day
- Tennis news and content automation — daily results roundups per tournament
- Rankings monitoring — track player movement week over week
- Historical match collection — loop over past dates to build a results database

### How to use

1. Pick the **Tours** — ATP, WTA, or both
2. Leave **Date** empty for today's live scores, or set `YYYYMMDD` (or a `YYYYMMDD-YYYYMMDD` range) for past results and upcoming schedules
3. Toggle **Include world rankings** if you also want the full rankings tables
4. Run the actor — matches appear in the **Dataset** tab; rankings go to the separate `rankings` dataset

### Output format

Each match record:

```json
{
  "tour": "ATP",
  "tournament": "National Bank Open presented by Rogers",
  "draw": "Men's Singles",
  "round": "Round of 64",
  "matchId": "183332",
  "date": "2026-08-01T14:40Z",
  "status": "STATUS_FINAL",
  "completed": true,
  "player1": "Nicolas Mejia",
  "player1Country": "Colombia",
  "player1Winner": true,
  "player1Sets": [{ "games": 7, "tiebreak": 7, "winner": true }, { "games": 3, "winner": false }, { "games": 6, "winner": true }],
  "player2": "Marco Trungelliti",
  "player2Country": "Argentina",
  "player2Winner": false,
  "score": "7-6(7) 3-6 6-1",
  "venue": "Toronto, Canada",
  "court": "Court 9"
}
```

Each ranking record:

```json
{
  "tour": "ATP",
  "rank": 1,
  "previousRank": 1,
  "trend": "-",
  "points": 13450,
  "player": "Jannik Sinner",
  "playerUrl": "https://www.espn.com/tennis/player/_/id/3623/jannik-sinner"
}
```

### FAQ

**Does it cover live matches?** Yes — run with an empty date for today's scoreboard; in-progress matches include the sets completed so far.

**Which tournaments are included?** All ATP and WTA tour events, including the Grand Slams, Masters 1000/WTA 1000, and lower-tier tour stops.

**Can I get doubles?** Yes — doubles draws appear alongside singles with both players listed per side.

# Actor input Schema

## `tours` (type: `array`):

Which tennis tours to fetch: ATP (men's), WTA (women's), or both.

## `dates` (type: `string`):

Day as 'YYYYMMDD' or range as 'YYYYMMDD-YYYYMMDD'. Leave empty for today's matches (live scores).

## `includeRankings` (type: `boolean`):

Also fetch the current ATP/WTA world rankings (rank, points, trend per player) into a separate 'rankings' dataset.

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

Maximum number of match records to return. 0 = unlimited.

## Actor input object example

```json
{
  "tours": [
    "atp",
    "wta"
  ],
  "includeRankings": false,
  "maxItems": 0
}
```

# Actor output Schema

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

One match per record: tour, tournament, draw, round, players, set-by-set scores with tiebreaks, status, venue, court.

## `rankings` (type: `string`):

One player per record: rank, previous rank, trend, points, player name and profile URL. Only populated when 'Include world rankings' is enabled.

# 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 = {
    "tours": [
        "atp",
        "wta"
    ],
    "dates": ""
};

// Run the Actor and wait for it to finish
const run = await client.actor("seemuapps/tennis-scraper").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 = {
    "tours": [
        "atp",
        "wta",
    ],
    "dates": "",
}

# Run the Actor and wait for it to finish
run = client.actor("seemuapps/tennis-scraper").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 '{
  "tours": [
    "atp",
    "wta"
  ],
  "dates": ""
}' |
apify call seemuapps/tennis-scraper --silent --output-dataset

```

## MCP server setup

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

```

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/aUDLazkODcm2uJpOy/builds/vCFAUa1CEYUnEzMsB/openapi.json