# Flashscore Scores Scraper (`kibaale/flashscore-scores-scraper`) Actor

Scrapes match scores, results and fixtures from Flashscore for any sport. Covers tennis, football, basketball, hockey and more. For each league you choose, it returns every match with teams or players, set scores, stage, dates and match links. Works without a browser and without proxies.

- **URL**: https://apify.com/kibaale/flashscore-scores-scraper.md
- **Developed by:** [kibalee](https://apify.com/kibaale) (community)
- **Categories:**
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.50 / 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/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 Scores Scraper

Scrapes **match results and fixtures** from Flashscore for any sport: tennis, football, basketball, hockey and more.

### What you get

For each league you select, the actor returns one record per match with:

- Teams or players (name, country, short code)
- Scores (set scores for tennis, and the sport-specific score fields)
- Match status, tournament stage, start/end dates
- League name and links to both the league and the match page
- The full raw data fields of the match, in case you need something extra

### How it works

1. Pick sport sections (e.g. `tennis`) — the actor discovers the leagues on the site, or
2. Pass specific league URLs (e.g. `/tennis/atp-singles/us-open/`).

Each league page returns finished matches (results) and scheduled matches (fixtures). The scraper reads the match data that Flashscore embeds in the league pages themselves, so it is fast and stable.

### What it does not do

- It does **not** scrape live in-play scores minute by minute. Flashscore's live scoreboard is loaded dynamically and is not part of league pages. This actor covers **final results and upcoming fixtures**.
- It does not scrape match detail pages (point-by-point history, player statistics).
- It does not require a login and does not bypass any paid product.

### Input

| Field | Description |
|---|---|
| `sections` | Sport sections to scrape, e.g. `["tennis", "football"]` (default `["tennis"]`) |
| `leagueUrls` | Optional list of specific leagues, e.g. `["/tennis/atp-singles/us-open/"]` |
| `includeResults` | Include finished matches (default `true`) |
| `includeFixtures` | Include scheduled matches (default `true`) |
| `maxLeaguesPerSection` | Cap on discovered leagues per section (default `10`, `0` = all) |

### Output example

```json
{
  "matchId": "pIjwuyeL",
  "sport": "tennis",
  "status": "3",
  "stage": "Quarter-finals",
  "startDate": "2026-09-10T08:00:00+00:00",
  "leagueName": "ATP - SINGLES: US Open (USA), hard",
  "home": {
    "name": "Zverev A.",
    "country": "Germany",
    "code": "ZVE",
    "setsWon": "3",
    "setScores": ["6", "7", "6", "", ""]
  },
  "away": {
    "name": "Van De Zandschulp B.",
    "country": "Netherlands",
    "code": "VAN",
    "setsWon": "0",
    "setScores": ["2", "5", "1", "", ""]
  },
  "url": "https://www.flashscore.com/match/tennis/zverev-alexander-dGbUhw9m/van-de-zandschulp-botic-YwiLpILD/"
}
```

# Actor input Schema

## `sections` (type: `array`):

Sport sections to scrape, e.g. tennis, football, basketball, hockey. The actor discovers all leagues of the section and scrapes the first N of each (see maxLeaguesPerSection).

## `leagueUrls` (type: `array`):

Optional: scrape only these leagues. Use the league path from Flashscore, e.g. /tennis/atp-singles/us-open/ (with or without leading slash).

## `includeResults` (type: `boolean`):

Include finished matches with final scores.

## `includeFixtures` (type: `boolean`):

Include upcoming scheduled matches.

## `maxLeaguesPerSection` (type: `integer`):

How many leagues to scrape per sport section (0 = all, careful: football has hundreds). Discovery order follows the site's listing.

## Actor input object example

```json
{
  "sections": [
    "tennis"
  ],
  "leagueUrls": [],
  "includeResults": true,
  "includeFixtures": true,
  "maxLeaguesPerSection": 10
}
```

# Actor output Schema

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

Match records stored in the run's default dataset

# 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 = {
    "sections": [
        "tennis"
    ],
    "leagueUrls": []
};

// Run the Actor and wait for it to finish
const run = await client.actor("kibaale/flashscore-scores-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 = {
    "sections": ["tennis"],
    "leagueUrls": [],
}

# Run the Actor and wait for it to finish
run = client.actor("kibaale/flashscore-scores-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 '{
  "sections": [
    "tennis"
  ],
  "leagueUrls": []
}' |
apify call kibaale/flashscore-scores-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,kibaale/flashscore-scores-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/4NVndQwHwsrz8TLGf/builds/bb1I7eodRxMLhkLHr/openapi.json