# ⚽ Football Data Scraper - Premier League, La Liga, UCL & 50+ Le (`unrivaled_fortress/football-analytics-v2`) Actor

Extract live football scores, fixtures, results, venues and referees across Premier League, La Liga, Serie A, Bundesliga, Ligue 1, Champions League and 50+ global competitions. For sports analytics and betting research. Pay per result. Try free — no API key, instant results.

- **URL**: https://apify.com/unrivaled\_fortress/football-analytics-v2.md
- **Developed by:** [David An](https://apify.com/unrivaled_fortress) (community)
- **Categories:** Other, Sports
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.00 / 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

## ⚽ Football Data Scraper

**⚽ Football Data Scraper** is a public web scraping Actor on Apify. Built with open-source technology for reliable data extraction.

### ✨ Features

- 🔌 Built with [Apify SDK](https://apify.com) + [Crawlee](https://crawlee.dev) — open-source, battle-tested
- 🚀 Fast and scalable cloud execution
- 📊 Export results as JSON / CSV / Excel
- 🔒 No API key required (uses public data)
- 🌍 Trusted by developers worldwide

### 📥 Input

Configure input fields before running — set your search parameters, URLs, or queries.

### 📤 Output

Each dataset item contains structured fields ready for analytics, AI processing, or integration.

### 💡 Use Cases

- Market research & competitor analysis
- Lead generation & sales prospecting
- Content research & monitoring
- Data enrichment for AI/LLM pipelines

### 🔧 Tech Stack

This Actor runs on **Apify** cloud infrastructure and is built with **Crawlee**, the open-source web scraping library used by thousands of developers.

> ⚠️ Respect target websites' Terms of Service and applicable laws. For public data only.

***

**Crafted by [David Ahn](https://apify.com/unrivaled_fortress)** · Apify Store | Open-source friendly

# Actor input Schema

## `competitions` (type: `array`):

Select one or more competitions to fetch match data from. Defaults to top 5 European leagues + UCL.

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

Maximum number of match results to return

## Actor input object example

```json
{
  "competitions": [
    "PL",
    "PD",
    "SA",
    "BL1",
    "CL"
  ],
  "maxResults": 100
}
```

# 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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("unrivaled_fortress/football-analytics-v2").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 = {}

# Run the Actor and wait for it to finish
run = client.actor("unrivaled_fortress/football-analytics-v2").call(run_input=run_input)

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

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

```

## CLI example

```bash
echo '{}' |
apify call unrivaled_fortress/football-analytics-v2 --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=unrivaled_fortress/football-analytics-v2",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/mKYkArw35F8R577RE/builds/Adw3kh5L1kcvDmoJO/openapi.json