# FBref Football Statistics Scraper (`crawlergang/fbref-scraper`) Actor

Scrape FBref (fbref.com) - the Football Reference site. Get league stats, match results, and player statistics for Premier League, La Liga, Bundesliga, Serie A, and Ligue 1.

- **URL**: https://apify.com/crawlergang/fbref-scraper.md
- **Developed by:** [Crawler Gang](https://apify.com/crawlergang) (community)
- **Categories:** Automation, Developer tools, Integrations
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 11 bookmarks
- **User rating**: 5.00 out of 5 stars

## Pricing

from $3.00 / 1,000 results

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

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

## FBref Football Statistics Scraper

Scrape player statistics, match results, and league tables from **FBref** (fbref.com) — the most comprehensive football statistics database, covering all major European leagues.

### What This Actor Does

Fetches football data from FBref including:

- **League Stats**: All player stats for a full season (goals, assists, xG, minutes played, pass completion, cards)
- **Match Results**: Fixture results with scores, xG, venues, attendance, and referees
- **Player Stats**: Career statistics by season for any FBref player

### Supported Leagues

| League | Country |
|--------|---------|
| Premier League | England |
| La Liga | Spain |
| Bundesliga | Germany |
| Serie A | Italy |
| Ligue 1 | France |

### Input

| Field | Type | Description |
|-------|------|-------------|
| `mode` | string | `leagueStats`, `matchResults`, or `playerStats` |
| `league` | string | League slug (e.g. `premier-league`, `bundesliga`) |
| `season` | string | Season in FBref format, e.g. `2024-2025` |
| `playerName` | string | Player name for `playerStats` mode (e.g. `Erling Haaland`) |
| `maxItems` | integer | Max records to return (default: 10) |

#### Example Input

```json
{
  "mode": "leagueStats",
  "league": "premier-league",
  "season": "2024-2025",
  "maxItems": 10
}
```

### Output

Each record contains:

| Field | Description |
|-------|-------------|
| `playerId` | FBref player ID |
| `playerName` | Player's full name |
| `team` | Current club |
| `position` | Playing position |
| `league` | League name |
| `season` | Season string |
| `appearances` | Matches played |
| `goals` | Goals scored |
| `assists` | Assists |
| `yellowCards` | Yellow cards |
| `redCards` | Red cards |
| `minutesPlayed` | Total minutes on pitch |
| `passCompletion` | Pass completion percentage |
| `xg` | Expected goals |
| `xga` | Expected goal assists |
| `playerUrl` | Link to player's FBref page |

#### Example Output

```json
{
  "playerName": "Erling Haaland",
  "team": "Manchester City",
  "position": "FW",
  "league": "Premier League",
  "season": "2024-2025",
  "appearances": 28,
  "goals": 22,
  "assists": 5,
  "xg": 19.8,
  "minutesPlayed": 2340,
  "playerUrl": "https://fbref.com/en/players/..."
}
```

### FAQs

**Is this free to use?**
Yes. FBref is a publicly accessible website and this actor uses standard HTTP requests without any paid proxies or API keys.

**How fresh is the data?**
Data is scraped live from FBref on each run. FBref typically updates stats within 24-48 hours of matches.

**Why might some stats be missing?**
FBref only shows xG/xGA for the Big 5 leagues. Some older seasons may have fewer advanced stats.

**Can I get historical seasons?**
Yes — set the `season` field to any past season like `2020-2021`.

**What is the daily test prefill?**
The actor's default test runs `leagueStats` for Premier League 2024-2025 with maxItems=10, which should always return data during an active season.

# Actor input Schema

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

What to scrape from FBref.

## `league` (type: `string`):

Football league to scrape.

## `season` (type: `string`):

Season in FBref format, e.g. 2024-2025, 2023-2024.

## `playerName` (type: `string`):

Player name to search for on FBref (e.g. Erling Haaland).

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

Maximum number of records to return.

## Actor input object example

```json
{
  "mode": "leagueStats",
  "league": "premier-league",
  "season": "2024-2025",
  "maxItems": 10
}
```

# Actor output Schema

## `stats` (type: `string`):

Dataset containing scraped football statistics from FBref.

# 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 = {
    "mode": "leagueStats",
    "league": "premier-league",
    "season": "2024-2025",
    "maxItems": 10
};

// Run the Actor and wait for it to finish
const run = await client.actor("crawlergang/fbref-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 = {
    "mode": "leagueStats",
    "league": "premier-league",
    "season": "2024-2025",
    "maxItems": 10,
}

# Run the Actor and wait for it to finish
run = client.actor("crawlergang/fbref-scraper").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 '{
  "mode": "leagueStats",
  "league": "premier-league",
  "season": "2024-2025",
  "maxItems": 10
}' |
apify call crawlergang/fbref-scraper --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/aYfYebENEoFZDjLLW/builds/AAYTdJI0woUKUNEiX/openapi.json