# Football Data UK — Match Results & Statistics Scraper (`crawlerbros/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/crawlerbros/football-data-uk-scraper.md - **Developed by:** [Crawler Bros](https://apify.com/crawlerbros) (community) - **Categories:** Automation, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## 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 a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. 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. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use 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 '' with your token const client = new ApifyClient({ 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("crawlerbros/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 '' with your token. client = ApifyClient("") # 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("crawlerbros/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 crawlerbros/football-data-uk-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=crawlerbros/football-data-uk-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Football Data UK — Match Results & Statistics Scraper", "description": "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.", "version": "1.0", "x-build-id": "cn9tKiauSH5zJGsiG" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/crawlerbros~football-data-uk-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-crawlerbros-football-data-uk-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/crawlerbros~football-data-uk-scraper/runs": { "post": { "operationId": "runs-sync-crawlerbros-football-data-uk-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/crawlerbros~football-data-uk-scraper/run-sync": { "post": { "operationId": "run-sync-crawlerbros-football-data-uk-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": { "league": { "title": "League", "enum": [ "E0", "E1", "E2", "E3", "D1", "D2", "SP1", "SP2", "I1", "I2", "F1", "F2", "N1", "B1", "P1", "G1", "T1", "SC0" ], "type": "string", "description": "League code to fetch. See Football-Data.co.uk for the full list.", "default": "E0" }, "season": { "title": "Season", "enum": [ "2425", "2324", "2223", "2122", "2021", "1920", "1819" ], "type": "string", "description": "Season code in YYYY format, e.g. 2425 for 2024-25, 2324 for 2023-24.", "default": "2425" }, "includeOdds": { "title": "Include betting odds", "type": "boolean", "description": "Include raw betting odds columns from bookmakers in the output.", "default": false }, "maxItems": { "title": "Max items", "minimum": 1, "maximum": 5000, "type": "integer", "description": "Hard cap on the number of match records emitted.", "default": 200 } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```