# Tennis Scraper - Live Scores, Results & ATP/WTA Rankings $1/1k (`smolder/tennis-scraper`) Actor

$1 per 1,000 rows. Tennis live scores, results, fixtures and ATP/WTA rankings: set-by-set scores, tiebreaks, round, court, players and countries. Grand Slams, ATP, WTA and lower-tier events, singles and doubles. History by date range. No login.

- **URL**: https://apify.com/smolder/tennis-scraper.md
- **Developed by:** [Yassine Cherkaoui](https://apify.com/smolder) (community)
- **Categories:** AI, Developer tools
- **Security:** Limited permissions
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.70 / 1,000 result rows

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 Scraper: Live Scores, Results, Fixtures & ATP/WTA Rankings ($1 per 1,000)

Get **tennis data** as clean rows: **live scores**, **results**, **fixtures** and **ATP / WTA rankings**. Every match comes with set-by-set scores, tiebreaks, round, court, start time, players, countries and the winner. Pick any date range, from today back several years.

**$1 per 1,000 rows**, platform costs included. No login, no API key and no proxy needed.

### What can it do?

- 🎾 **Live scores:** every match in progress right now, with the current set.
- ✅ **Results:** finished matches with the full score (e.g. `6-7(5) 6-4 7-6(3)`), sets won and the winner.
- 📅 **Fixtures:** upcoming matches with round, court and start time.
- 🏆 **All levels:** Grand Slams, ATP and WTA tour events and lower-tier WTA events. Singles and doubles.
- 📈 **Rankings:** the current ATP and WTA top 150 with points, movement, country and age.
- 🗓️ **History:** any date range up to a year per run, back several seasons.
- 🔎 **Filters:** by status (live, finished, scheduled), tournament name, player name and singles only.

### Use cases

- **Betting models and odds research:** daily results and fixtures as structured data.
- **Fantasy tennis and prediction apps:** schedule a run every few minutes for live scores.
- **Sports analytics:** head-to-head and form datasets from years of results.
- **Media and newsletters:** automatic daily results and ranking updates.
- **AI agents:** ask for "today's ATP results" through the Apify API or MCP server.

### How to use it

1. Click **Try for free**.
2. Choose **Matches** or **Rankings**, the **tours** (ATP, WTA) and the **dates**.
3. Click **Start**, then download your data as JSON, CSV or Excel, or use it through the API, Make, Zapier or n8n.

### Input examples

Today's matches on both tours (live, finished and scheduled):

```json
{ "startDate": "today" }
```

All Wimbledon 2025 singles results:

```json
{
    "startDate": "2025-06-30",
    "endDate": "2025-07-13",
    "tournament": "Wimbledon",
    "status": "finished",
    "includeDoubles": false
}
```

A player's matches over the last 30 days:

```json
{ "startDate": "-30", "endDate": "today", "player": "Alcaraz" }
```

Current WTA rankings:

```json
{ "mode": "rankings", "tours": ["wta"] }
```

### Output example

One row per match:

```json
{
    "type": "match",
    "matchId": "157774",
    "tour": "ATP",
    "tournamentId": "188-2025",
    "tournament": "Wimbledon",
    "tournamentLocation": "London, Great Britain",
    "isGrandSlam": true,
    "draw": "Men's Singles",
    "isDoubles": false,
    "round": "Final",
    "court": "Centre Court",
    "matchDate": "2025-07-13",
    "startTime": "2025-07-13T15:20Z",
    "status": "finished",
    "statusDetail": "Final",
    "player1": "Jannik Sinner",
    "player1Country": "Italy",
    "player1Id": "3623",
    "player2": "Carlos Alcaraz",
    "player2Country": "Spain",
    "player2Id": "3782",
    "winner": "player1",
    "winnerName": "Jannik Sinner",
    "score": "4-6 6-4 6-4 6-4",
    "setsWonPlayer1": 3,
    "setsWonPlayer2": 1,
    "sets": [{ "player1": 4, "player2": 6, "tiebreakPlayer1": null, "tiebreakPlayer2": null }, "…"],
    "resultNote": "(1) Jannik Sinner (ITA) bt (2) Carlos Alcaraz (ESP) 4-6 6-4 6-4 6-4",
    "scrapedAt": "2026-11-03T10:42:53.422Z"
}
```

Ranking rows have `rank`, `previousRank`, `trend`, `points`, `player`, `firstName`, `lastName`, `country`, `age` and `playerId`. The **Output** tab describes every field and has separate **Matches** and **Rankings** views.

### How much does it cost?

**$1.00 per 1,000 rows** (one row = one match or one ranking entry), plus a tiny start fee per run.

| Rows   | Price  |
| ------ | ------ |
| 100    | $0.10  |
| 1,000  | $1.00  |
| 10,000 | $10.00 |

**Paid Apify plans pay less:** $0.90/1k on Starter, $0.80/1k on Scale, $0.70/1k on Business.

A typical day of both tours is 50–300 matches, so **a daily results run costs a few cents**. You can set a **maximum cost per run**; the scraper never charges more.

### Tips

- **Live scores feed:** set *Match status* to *Live now* and schedule the run every 5–15 minutes.
- **Daily results:** schedule `{"startDate": "yesterday", "status": "finished"}` every morning.
- **Times are UTC.** A day runs from 00:00 to 23:59 UTC.

### FAQ

**Where does the data come from?**
From the public scoreboard and ranking feeds of a major sports media website, the same data its live score pages show.

**How fast are live scores updated?**
Usually within a minute of the source. Each run returns a snapshot at that moment.

**Does it include ATP Challenger or ITF men's events?**
Not at the moment: men's coverage is the ATP Tour and the Grand Slams. Women's coverage also includes lower-tier WTA events.

**Does it include point-by-point data or match statistics?**
No. It returns scores, sets, tiebreaks and match details.

**Is it legal?**
It collects public sports results, which are facts. Check the terms of the data source and the rules in your country for your use case, especially for commercial redistribution. If in doubt, consult a lawyer. Read more about [the legality of web scraping](https://blog.apify.com/is-web-scraping-legal/).

### Limitations

- Rankings cover the top 150 of each tour.
- Matches whose time isn't fixed yet have `startTime: null` and `statusDetail: "Time TBD"`.
- Up to 366 days per run; run several times for longer histories.

### Support

Found a bug or need a feature? Open an issue in the **Issues** tab with your run ID.

# Actor input Schema

## `mode` (type: `string`):

Matches returns one row per match for the chosen dates. Rankings returns the current ATP and/or WTA ranking table.

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

ATP covers men's tournaments, WTA covers women's tournaments, including Grand Slams and lower-tier events.

## `startDate` (type: `string`):

First day of matches (UTC). Use YYYY-MM-DD, "today", "yesterday", "tomorrow" or a number of days from today such as "-7". Matches mode only.

## `endDate` (type: `string`):

Last day of matches (UTC), same formats. Leave empty for a single day. Up to 366 days per run.

## `status` (type: `string`):

Only return matches in this state.

## `includeDoubles` (type: `boolean`):

Turn off to get singles matches only.

## `tournament` (type: `string`):

Only return matches from tournaments whose name contains this text, for example "Wimbledon" or "Paris".

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

Only return matches (or ranking rows) of players whose name contains this text, for example "Alcaraz".

## `maxResults` (type: `integer`):

Safety cap on the number of rows saved in one run.

## `proxyConfiguration` (type: `object`):

Not needed: the data source works without a proxy. Set one only if your runs get blocked.

## Actor input object example

```json
{
  "mode": "matches",
  "tours": [
    "atp",
    "wta"
  ],
  "startDate": "today",
  "status": "any",
  "includeDoubles": true,
  "maxResults": 5000
}
```

# Actor output Schema

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

No description

## `failedRequests` (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 = {
    "startDate": "today"
};

// Run the Actor and wait for it to finish
const run = await client.actor("smolder/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 = { "startDate": "today" }

# Run the Actor and wait for it to finish
run = client.actor("smolder/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 '{
  "startDate": "today"
}' |
apify call smolder/tennis-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,smolder/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/al4sTtgjaUbGmBtnu/builds/xCaoz3GSbyRR1tQm5/openapi.json