# Flashscore Tennis Scraper — ATP & WTA scores, results, draws (`edwin_beale/flashscore-tennis-scraper`) Actor

Live, finished and scheduled tennis from Flashscore: ATP, WTA, Challenger, ITF. Set-by-set scores with tie-breaks, player countries and rankings, surface and tournament. Flat rows ready for Sheets.

- **URL**: https://apify.com/edwin\_beale/flashscore-tennis-scraper.md
- **Developed by:** [Edwin Beale](https://apify.com/edwin_beale) (community)
- **Categories:** Sports, News, Developer tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.00 / 1,000 match scrapeds

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/actors/running/actors-in-store.md#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

## Flashscore Tennis Scraper

Live, finished and scheduled tennis from Flashscore — ATP, WTA, Challenger and ITF — as
flat rows you can drop straight into Sheets or a database.

### What you get

One row per match:

```json
{
  "matchId": "GAWRDynR",
  "tournament": "US Open - Qualification",
  "tournamentCategory": "ATP - Singles",
  "tournamentCountry": "USA",
  "surface": "hard",
  "startTime": "2026-08-24T15:05:00.000Z",
  "endTime": "2026-08-24T17:02:29.000Z",
  "status": "finished",
  "homePlayer": "Fearnley J.",
  "awayPlayer": "Carballes Baena R.",
  "homeCountry": "United Kingdom",
  "awayCountry": "Spain",
  "homeRank": 197,
  "awayRank": 176,
  "setsWonHome": 2,
  "setsWonAway": 0,
  "winner": "home",
  "winnerName": "Fearnley J.",
  "score": "7-6(3), 6-3",
  "sets": [{ "home": 7, "away": 6, "tieBreakHome": 7, "tieBreakAway": 3 },
           { "home": 6, "away": 3, "tieBreakHome": null, "tieBreakAway": null }],
  "matchUrl": "https://www.flashscore.com/match/GAWRDynR/"
}
```

`score` is the human-readable line with tie-breaks in brackets. `sets` is the same data
structured, if you would rather compute on it than parse a string.

### Input

- **days** — day offsets from today. `0` today, `-1` yesterday, `1` tomorrow. Flashscore
  holds roughly a week either side.
- **tours** — `ATP`, `WTA`, `Challenger`, `ITF`, `Doubles`. Empty means everything.
- **statuses** — `scheduled`, `live`, `finished`, `cancelled`, `walkover`
- **maxItems** — hard cap on rows, so a run cannot surprise you on cost

### Cancelled matches are not results

Flashscore reports a cancelled match and a walkover under the same "finished" code as a
real result, which is how you end up with rows that have a winner and no score, or no
winner at all. This Actor separates them: `cancelled` and `walkover` are their own
statuses, and **cancelled matches are never charged**. Ask for `finished` and every row
you get back has a winner and a full set-by-set score.

### Pricing

Pay per match delivered. Cancelled matches and failed days cost nothing. No subscription,
no minimum.

### Limits & fair use

Public scores only — no personal data, no accounts, no paywalled content. Match results
are facts. Be sensible about how often you schedule it; once a day covers most needs, and
live tracking needs no more than a few minutes apart.

### Found it useful?

Leave a review — it is the only thing that moves an Actor up the store and it takes ten
seconds. Something missing or wrong? Open an issue on the Actor and it gets fixed.

# Actor input Schema

## `days` (type: `array`):

Day offsets from today. 0 = today, -1 = yesterday, 1 = tomorrow. Flashscore keeps roughly a week either side.

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

Filter by tour, matched loosely against the tournament category: ATP, WTA, Challenger, ITF, Doubles. Leave empty for every tour.

## `statuses` (type: `array`):

Which matches to return. 'cancelled', 'walkover' and 'interrupted' are reported separately rather than as finished results with a missing or partial score.

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

Hard cap on rows returned, so a run can never surprise you on cost.

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

Apify Proxy. Datacenter is enough — Flashscore's feed does not require residential.

## Actor input object example

```json
{
  "days": [
    -1,
    0,
    1
  ],
  "tours": [
    "ATP",
    "WTA"
  ],
  "statuses": [
    "scheduled",
    "live",
    "finished"
  ],
  "maxItems": 1000,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

# Actor output Schema

## `matches` (type: `string`):

One row per match across every requested day: scheduled, live, finished, cancelled, walkover and interrupted. Deduplicated by match id.

## `summary` (type: `string`):

Days, tours and statuses requested, plus the total number of matches delivered.

# 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 = {
    "days": [
        -1,
        0,
        1
    ],
    "tours": [
        "ATP",
        "WTA"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("edwin_beale/flashscore-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 = {
    "days": [
        -1,
        0,
        1,
    ],
    "tours": [
        "ATP",
        "WTA",
    ],
}

# Run the Actor and wait for it to finish
run = client.actor("edwin_beale/flashscore-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 '{
  "days": [
    -1,
    0,
    1
  ],
  "tours": [
    "ATP",
    "WTA"
  ]
}' |
apify call edwin_beale/flashscore-tennis-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,edwin_beale/flashscore-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/YCM8oLrAQbrcPkHdr/builds/36EB8RvgDmDtTSp1y/openapi.json