# Fantasy Premier League (FPL) Official API Scraper (`jungle_synthesizer/fpl-official-fantasy-premier-league-api-scraper`) Actor Scrapes the official Fantasy Premier League API — all ~700 players with xG, xA, ICT index, ownership, gameweek-by-gameweek point history, current season fixtures, and optional manager / mini-league data — delivered as a clean normalized dataset. - **URL**: https://apify.com/jungle\_synthesizer/fpl-official-fantasy-premier-league-api-scraper.md - **Developed by:** [BowTiedRaccoon](https://apify.com/jungle_synthesizer) (community) - **Categories:** Sports, Developer tools - **Stats:** 3 total users, 1 monthly users, 83.3% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing Pay per event 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 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) Official API Scraper Scrapes the official Fantasy Premier League API — all ~700+ players with xG, xA, ICT index, ownership percentage, per-gameweek point history, current season fixtures — delivered as a clean, normalized Apify dataset. Built for FPL analytics tools, content sites, fantasy-data pipelines, and DFS modellers. ### What you get - **All active FPL players** (~700-840 depending on season) with full stats: goals, assists, clean sheets, expected goals (xG), expected assists (xA), ICT index, form, PPG, ownership percentage, current price, and GW transfer activity. - **Gameweek history** (optional): per-GW points, minutes played, price, transfers in/out, and selection count — one timeline per player. - **Fixtures** (optional): the full current-season fixture list with home/away teams, scores, kickoff times, and gameweek numbers. ### Inputs | Field | Type | Default | Description | |---|---|---|---| | `maxItems` | integer | 0 (all) | Maximum player records to return. 0 = all ~700+ players. | | `includeHistory` | boolean | false | Fetch per-player gameweek history. Adds one API call per player — use for analytics, leave off for a fast bootstrap-only run. | | `includeFixtures` | boolean | false | Append fixture records to the dataset after players. | ### Output schema Each player record contains: | Field | Type | Description | |---|---|---| | `player_id` | integer | FPL element ID | | `web_name` | string | Short name (e.g. "Salah") | | `first_name` / `second_name` | string | Full name | | `team` | string | Club name | | `position` | string | GKP / DEF / MID / FWD | | `now_cost` | number | Price in 0.1m units (130 = £13.0m) | | `total_points` | integer | Total FPL points this season | | `form` | number | Rolling 30-day average points per game | | `points_per_game` | number | Season average points per game | | `selected_by_percent` | number | Ownership percentage | | `minutes` | integer | Minutes played | | `goals_scored` / `assists` / `clean_sheets` | integer | Season totals | | `expected_goals` / `expected_assists` | number | xG and xA | | `ict_index` | number | Influence, Creativity, Threat composite | | `transfers_in_event` / `transfers_out_event` | integer | Current GW transfer activity | | `gameweek_history` | string | JSON array of per-GW stats (when `includeHistory: true`) | | `source` | string | Source API endpoint | Fixture records use `position: "FIXTURE"` and pack fixture metadata into the `gameweek_history` field as a JSON object. ### Use cases - **FPL analytics dashboards** — pull the full player pool into your tool without maintaining your own poller. - **DFS and betting models** — xG, xA, ICT index, and ownership in one call, ready for modelling. - **Content automation** — generate weekly player rankings, top transfers, value picks. - **Historical analysis** — gameweek history gives you the full season-to-date timeline per player. ### Performance The bootstrap-static endpoint returns ~2 MB of JSON in a single call — typically under 1 second. A full run with `includeHistory: true` for all 700+ players takes a few minutes at the polite 100ms call rate. A bootstrap-only run (default) completes in seconds. ### Cost This actor uses the official open FPL API — no proxy required. Running cost is near zero. Priced at the standard PPE rate with a 0.8x coefficient reflecting the minimal compute needed. ### Notes - The FPL API is public and official. No authentication, no proxy, no anti-bot measures. - Player IDs are stable within a season but may change between seasons as new elements are added. - The `gameweek_history` field is a JSON string — deserialize with `JSON.parse()` in your downstream pipeline. - Fixture records are identifiable by `position: "FIXTURE"` in the dataset. # Actor input Schema ## `sp_intended_usage` (type: `string`): Please describe how you plan to use the data extracted by this crawler. ## `sp_improvement_suggestions` (type: `string`): Provide any feedback or suggestions for improvements. ## `sp_contact` (type: `string`): Provide your email address so we can get in touch with you. ## `maxItems` (type: `integer`): Maximum number of player records to return. Set 0 for all players (~700). ## `includeHistory` (type: `boolean`): Fetch per-player gameweek history (points, minutes, price per GW). Adds one API call per player — leave false for a fast bootstrap-only run. ## `includeFixtures` (type: `boolean`): Append current-season fixture records to the dataset after players. ## Actor input object example ```json { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "maxItems": 10, "includeHistory": false, "includeFixtures": false } ```` # Actor output Schema ## `results` (type: `string`): No description # 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 = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "maxItems": 10, "includeHistory": false, "includeFixtures": false }; // Run the Actor and wait for it to finish const run = await client.actor("jungle_synthesizer/fpl-official-fantasy-premier-league-api-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 = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "maxItems": 10, "includeHistory": False, "includeFixtures": False, } # Run the Actor and wait for it to finish run = client.actor("jungle_synthesizer/fpl-official-fantasy-premier-league-api-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 '{ "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "maxItems": 10, "includeHistory": false, "includeFixtures": false }' | apify call jungle_synthesizer/fpl-official-fantasy-premier-league-api-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jungle_synthesizer/fpl-official-fantasy-premier-league-api-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Fantasy Premier League (FPL) Official API Scraper", "description": "Scrapes the official Fantasy Premier League API — all ~700 players with xG, xA, ICT index, ownership, gameweek-by-gameweek point history, current season fixtures, and optional manager / mini-league data — delivered as a clean normalized dataset.", "version": "0.1", "x-build-id": "QK0vfSXvGi7Pvc9TS" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jungle_synthesizer~fpl-official-fantasy-premier-league-api-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jungle_synthesizer-fpl-official-fantasy-premier-league-api-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/jungle_synthesizer~fpl-official-fantasy-premier-league-api-scraper/runs": { "post": { "operationId": "runs-sync-jungle_synthesizer-fpl-official-fantasy-premier-league-api-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/jungle_synthesizer~fpl-official-fantasy-premier-league-api-scraper/run-sync": { "post": { "operationId": "run-sync-jungle_synthesizer-fpl-official-fantasy-premier-league-api-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", "required": [ "maxItems" ], "properties": { "sp_intended_usage": { "title": "What is the intended usage of this data?", "minLength": 1, "type": "string", "description": "Please describe how you plan to use the data extracted by this crawler." }, "sp_improvement_suggestions": { "title": "How can we improve this crawler for you?", "minLength": 1, "type": "string", "description": "Provide any feedback or suggestions for improvements." }, "sp_contact": { "title": "Contact Email", "minLength": 1, "type": "string", "description": "Provide your email address so we can get in touch with you." }, "maxItems": { "title": "Max Players", "type": "integer", "description": "Maximum number of player records to return. Set 0 for all players (~700).", "default": 0 }, "includeHistory": { "title": "Include Gameweek History", "type": "boolean", "description": "Fetch per-player gameweek history (points, minutes, price per GW). Adds one API call per player — leave false for a fast bootstrap-only run.", "default": false }, "includeFixtures": { "title": "Include Fixtures", "type": "boolean", "description": "Append current-season fixture records to the dataset after players.", "default": false } } }, "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 } } } } } } } } } } ```