# Fantasy Premier League (FPL) Scraper (`crawlerbros/fpl-fantasy-premier-league-scraper`) Actor Scrape Fantasy Premier League data - players with stats, teams, fixtures, gameweeks, and element types. All data comes from the official FPL public API with no authentication required. - **URL**: https://apify.com/crawlerbros/fpl-fantasy-premier-league-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 ## Fantasy Premier League (FPL) Scraper Extract Fantasy Premier League data from the [official FPL public API](https://fantasy.premierleague.com/api/bootstrap-static/). Get player statistics, team data, fixture schedules, and gameweek summaries — no login or API key required. ### Features - **4 data modes** — players, teams, fixtures, gameweeks - **841+ player stats** — goals, assists, clean sheets, expected stats, FPL points, cost - **All 20 Premier League teams** — with strength ratings - **Full fixture schedule** — with results and difficulty ratings - **38 gameweek summaries** — deadlines, average scores, chip plays - **No authentication required** — uses the official free FPL API ### Input | Field | Type | Description | Default | |-------|------|-------------|---------| | `mode` | Select | Type of data to extract | `players` | | `gameweek` | Integer | Filter fixtures to GW 1–38 (mode=fixtures only) | — | | `maxItems` | Integer | Max records to return | `500` | #### Modes | Mode | Description | |------|-------------| | `players` | All 841+ FPL players with full stats | | `teams` | All 20 Premier League teams | | `fixtures` | All match fixtures with scores | | `gameweeks` | All 38 gameweek summaries | #### Example Input ```json { "mode": "players", "maxItems": 100 } ```` ### Output #### Players Mode | Field | Type | Description | |-------|------|-------------| | `playerId` | Integer | FPL player ID | | `name` | String | Display name (web\_name) | | `firstName` | String | First name | | `lastName` | String | Last name | | `team` | String | Premier League club name | | `position` | String | Goalkeeper / Defender / Midfielder / Forward | | `nowCostM` | Float | Current FPL cost in £M (e.g. 8.5) | | `totalPoints` | Integer | Total FPL points this season | | `form` | Float | Recent form score | | `selectedByPercent` | Float | % of FPL managers who own this player | | `pointsPerGame` | Float | Average points per game | | `minutes` | Integer | Minutes played | | `goalsScored` | Integer | Goals scored | | `assists` | Integer | Assists | | `cleanSheets` | Integer | Clean sheets | | `yellowCards` | Integer | Yellow cards | | `redCards` | Integer | Red cards | | `expectedGoals` | Float | xG | | `expectedAssists` | Float | xA | | `transfersIn` | Integer | Total transfers in this season | | `transfersOut` | Integer | Total transfers out this season | | `status` | String | Availability (a=available, i=injured, d=doubtful) | | `news` | String | Latest injury/availability news | | `photoUrl` | String | Player photo URL | #### Teams Mode Each record contains team name, short name, season standings, and FPL strength ratings (attack/defence, home/away). #### Fixtures Mode Each record contains homeTeam, awayTeam, kickoffTime, homeScore, awayScore, finished status, and difficulty ratings. #### Gameweeks Mode Each record contains deadline time, average score, highest score, transfer counts, and chip play statistics. ### FAQ **Does this require a login?** No. The FPL API is publicly accessible without any authentication. **How often is the data updated?** Data is updated by the FPL platform daily and after matches. **Can I get historical seasons?** This actor scrapes the current active season only (the FPL public API provides the current season). **What does player cost represent?** Player cost is in £M — e.g. a player costing 85 in the API costs £8.5m in the game. **What is the `selectedByPercent` field?** It shows what percentage of all FPL managers currently have that player in their squad. # Actor input Schema ## `mode` (type: `string`): Type of FPL data to extract. ## `gameweek` (type: `integer`): Filter fixtures to a specific gameweek (1–38). Leave blank for all. ## `maxItems` (type: `integer`): Maximum number of records to return. ## Actor input object example ```json { "mode": "players", "maxItems": 500 } ``` # Actor output Schema ## `fplData` (type: `string`): Dataset containing FPL players, teams, fixtures, or gameweeks depending on mode. # 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 = { "mode": "players", "maxItems": 500 }; // Run the Actor and wait for it to finish const run = await client.actor("crawlerbros/fpl-fantasy-premier-league-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 = { "mode": "players", "maxItems": 500, } # Run the Actor and wait for it to finish run = client.actor("crawlerbros/fpl-fantasy-premier-league-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": "players", "maxItems": 500 }' | apify call crawlerbros/fpl-fantasy-premier-league-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=crawlerbros/fpl-fantasy-premier-league-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Fantasy Premier League (FPL) Scraper", "description": "Scrape Fantasy Premier League data - players with stats, teams, fixtures, gameweeks, and element types. All data comes from the official FPL public API with no authentication required.", "version": "0.1", "x-build-id": "vYBdvosNIqrcVFDjX" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/crawlerbros~fpl-fantasy-premier-league-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-crawlerbros-fpl-fantasy-premier-league-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/crawlerbros~fpl-fantasy-premier-league-scraper/runs": { "post": { "operationId": "runs-sync-crawlerbros-fpl-fantasy-premier-league-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/crawlerbros~fpl-fantasy-premier-league-scraper/run-sync": { "post": { "operationId": "run-sync-crawlerbros-fpl-fantasy-premier-league-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "mode": { "title": "Mode", "enum": [ "players", "teams", "fixtures", "gameweeks" ], "type": "string", "description": "Type of FPL data to extract.", "default": "players" }, "gameweek": { "title": "Gameweek filter (mode=fixtures)", "minimum": 1, "maximum": 38, "type": "integer", "description": "Filter fixtures to a specific gameweek (1–38). Leave blank for all." }, "maxItems": { "title": "Max results", "minimum": 1, "maximum": 5000, "type": "integer", "description": "Maximum number of records to return.", "default": 500 } } }, "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 } } } } } } } } } } ```