# Football Data UK — Match Results & Statistics Scraper (`crawlergang/football-data-uk-scraper`) Actor

Scrape historical football match results and statistics from Football-Data.co.uk - a free public dataset covering 20+ European leagues with full-time/half-time scores, results, and betting odds. No authentication required.

- **URL**: https://apify.com/crawlergang/football-data-uk-scraper.md
- **Developed by:** [Crawler Gang](https://apify.com/crawlergang) (community)
- **Categories:** Automation, Developer tools
- **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

## Football Data UK — Match Results & Statistics Scraper

Scrape historical football match results and statistics from **Football-Data.co.uk** — a free, publicly available dataset covering 20+ European leagues going back to 1993. No login, no API key, no proxy required.

### What data you get

Every match record includes:

| Field | Description |
|---|---|
| `matchId` | Unique identifier (league-season-date-home-away) |
| `date` | Match date (ISO format) |
| `time` | Kick-off time, if available |
| `homeTeam` | Home team name |
| `awayTeam` | Away team name |
| `homeGoals` | Full-time home goals |
| `awayGoals` | Full-time away goals |
| `result` | Full-time result: `H` (home win), `D` (draw), `A` (away win) |
| `htHomeGoals` | Half-time home goals |
| `htAwayGoals` | Half-time away goals |
| `htResult` | Half-time result |
| `league` | League code (e.g. `E0`) |
| `season` | Season code (e.g. `2425`) |
| `scrapedAt` | Timestamp of scrape |

Enable `includeOdds` to also receive raw betting odds from multiple bookmakers.

### Input

| Field | Type | Default | Description |
|---|---|---|---|
| `league` | Select | `E0` | League to fetch |
| `season` | Select | `2425` | Season code |
| `includeOdds` | Boolean | `false` | Include bookmaker odds columns |
| `maxItems` | Integer | `200` | Max records to emit |

#### Supported leagues

| Code | League |
|---|---|
| E0 | England – Premier League |
| E1 | England – Championship |
| E2 | England – League One |
| E3 | England – League Two |
| D1 | Germany – Bundesliga |
| D2 | Germany – 2. Bundesliga |
| SP1 | Spain – La Liga |
| SP2 | Spain – Segunda División |
| I1 | Italy – Serie A |
| I2 | Italy – Serie B |
| F1 | France – Ligue 1 |
| F2 | France – Ligue 2 |
| N1 | Netherlands – Eredivisie |
| B1 | Belgium – Jupiler Pro League |
| P1 | Portugal – Primeira Liga |
| G1 | Greece – Super League |
| T1 | Turkey – Süper Lig |
| SC0 | Scotland – Premiership |

#### Supported seasons

`2425` (2024-25), `2324` (2023-24), `2223` (2022-23), `2122` (2021-22), `2021` (2020-21), `1920` (2019-20), `1819` (2018-19)

### FAQs

**Is this free to use?**\
Yes. Football-Data.co.uk publishes this data freely. No API key or account is required.

**How current is the data?**\
Current-season files are updated weekly after each round of fixtures. Historical seasons are static.

**Can I get odds data?**\
Set `includeOdds: true` to include raw bookmaker odds columns (B365, BW, IW, PS, WH, VC, etc.).

**What if a league/season combination returns no data?**\
Not all leagues cover all seasons. The actor will log a 404 if the file doesn't exist yet.

# Actor input Schema

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

League code to fetch. See Football-Data.co.uk for the full list.

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

Season code in YYYY format, e.g. 2425 for 2024-25, 2324 for 2023-24.

## `includeOdds` (type: `boolean`):

Include raw betting odds columns from bookmakers in the output.

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

Hard cap on the number of match records emitted.

## Actor input object example

```json
{
  "league": "E0",
  "season": "2425",
  "includeOdds": false,
  "maxItems": 200
}
```

# Actor output Schema

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

Dataset containing all scraped match result records.

# 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 = {
    "league": "E0",
    "season": "2425",
    "includeOdds": false,
    "maxItems": 200
};

// Run the Actor and wait for it to finish
const run = await client.actor("crawlergang/football-data-uk-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 = {
    "league": "E0",
    "season": "2425",
    "includeOdds": False,
    "maxItems": 200,
}

# Run the Actor and wait for it to finish
run = client.actor("crawlergang/football-data-uk-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 '{
  "league": "E0",
  "season": "2425",
  "includeOdds": false,
  "maxItems": 200
}' |
apify call crawlergang/football-data-uk-scraper --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/g2fnMBNgMcNYTyDiS/builds/m31tdizNC85Rj1hjW/openapi.json
