# FIFA World Cup 2026 Match Lineups, Goals & Events Scraper (`jungle_synthesizer/fifa-wc-2026-match-lineups-goals-events-scraper`) Actor Scrapes per-match lineups, tactical formations, goal/card events, and referee data for all 104 FIFA World Cup 2026 matches via the official FIFA live API. Returns one row per player-match with lineup X/Y coordinates, goal and assist details, card events, and match metadata. - **URL**: https://apify.com/jungle\_synthesizer/fifa-wc-2026-match-lineups-goals-events-scraper.md - **Developed by:** [BowTiedRaccoon](https://apify.com/jungle_synthesizer) (community) - **Categories:** Sports, AI - **Stats:** 3 total users, 2 monthly users, 100.0% runs succeeded, 0 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. 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 ## FIFA World Cup 2026 Match Lineups, Goals & Events Scraper Scrapes per-match lineups, tactical formations, goal/card events, and referee data for all 104 FIFA World Cup 2026 matches using the official FIFA live API (`api.fifa.com/api/v3`). ### What this actor does For each World Cup 2026 match, this actor: 1. Fetches the full fixture list from FIFA's calendar API (104 matches total) 2. Filters matches by status (played, upcoming, or all) 3. For each match, retrieves the full lineup and events from the live endpoint 4. Returns one record per player-match with match metadata, tactical data, goals, and cards ### Output Each record represents one player in one match. Fields include: | Field | Description | |-------|-------------| | `id_match` | FIFA match ID | | `id_stage` | FIFA stage ID | | `matchday` | Match day number | | `stage_name` | Tournament stage (e.g. "First Stage", "Round of 16") | | `date_utc` | Match date/time in UTC | | `home_team` / `away_team` | Team names | | `home_score` / `away_score` | Final score | | `attendance` | Official attendance figure | | `stadium_name` | Stadium name | | `tactics_home` / `tactics_away` | Tactical formation strings (e.g. "4-3-3") | | `player_id` | FIFA player ID | | `player_name` | Player full name | | `shirt_number` | Player shirt number | | `position_code` | Position (0=GK, 1=DEF, 2=MID, 3=FWD) | | `is_captain` | Whether the player is the captain | | `lineup_x` / `lineup_y` | Tactical X/Y coordinates on pitch (when available) | | `goal_minute` | Minute of goal scored (null if no goal) | | `goal_period` | Period of goal (null if no goal) | | `assist_player_id` | FIFA ID of assist player (null if no assist) | | `card_type` | Card received: Yellow, Red, or Yellow-Red (null if none) | | `referee_name` | Main referee name | | `source` | Source API endpoint URL | ### Input | Parameter | Type | Default | Description | |-----------|------|---------|-------------| | `maxItems` | integer | 10 | Maximum number of player-match records to return (0 = no limit) | | `matchStatus` | string | `played` | Filter: `played` (completed matches only), `upcoming` (unplayed), `all` | #### Example inputs **Get lineup data for all played matches:** ```json { "maxItems": 0, "matchStatus": "played" } ```` **Quick sample of 50 records:** ```json { "maxItems": 50, "matchStatus": "played" } ``` **All 104 matches (including upcoming):** ```json { "maxItems": 0, "matchStatus": "all" } ``` ### Data source This actor uses FIFA's official `api.fifa.com/api/v3` endpoints: - `/calendar/matches` — fixture discovery (competition 17, season 285023) - `/live/football/17/285023/{idStage}/{idMatch}` — per-match lineups and events No authentication required. The same API powers the official fifa.com website. ### Use cases - **Tactical analysis**: LineupX/Y coordinates and formation strings for positional analysis - **Sports media**: Per-match lineup and goal data for automated match reports - **AI content generation**: Structured "who scored what" data for WC 2026 summaries - **Betting models**: Real lineup context (who started, who scored, formations) for each match - **Data journalism**: Full tournament-level dataset linking players, goals, and match outcomes ### Notes - The actor fetches from played matches by default (`matchStatus: played`). As the tournament progresses, more matches become available. - `lineup_x` / `lineup_y` tactical coordinates may be null — FIFA populates them for selected matches only. - Goal records capture only the first goal per player per match. Players with multiple goals will have only the first goal annotated. - The dataset covers the full 26-player squad per team (11 starters + 15 substitutes), not just starters. # 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-match records to return (0 = no limit, returns all) ## `matchStatus` (type: `string`): Filter by match status: 'played' (only completed matches), 'upcoming' (unplayed), 'all' (default) ## 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, "matchStatus": "played" } ``` # 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, "matchStatus": "played" }; // Run the Actor and wait for it to finish const run = await client.actor("jungle_synthesizer/fifa-wc-2026-match-lineups-goals-events-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, "matchStatus": "played", } # Run the Actor and wait for it to finish run = client.actor("jungle_synthesizer/fifa-wc-2026-match-lineups-goals-events-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, "matchStatus": "played" }' | apify call jungle_synthesizer/fifa-wc-2026-match-lineups-goals-events-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jungle_synthesizer/fifa-wc-2026-match-lineups-goals-events-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "FIFA World Cup 2026 Match Lineups, Goals & Events Scraper", "description": "Scrapes per-match lineups, tactical formations, goal/card events, and referee data for all 104 FIFA World Cup 2026 matches via the official FIFA live API. Returns one row per player-match with lineup X/Y coordinates, goal and assist details, card events, and match metadata.", "version": "0.1", "x-build-id": "ftEcjdPM0HUOPW6RO" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jungle_synthesizer~fifa-wc-2026-match-lineups-goals-events-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jungle_synthesizer-fifa-wc-2026-match-lineups-goals-events-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~fifa-wc-2026-match-lineups-goals-events-scraper/runs": { "post": { "operationId": "runs-sync-jungle_synthesizer-fifa-wc-2026-match-lineups-goals-events-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~fifa-wc-2026-match-lineups-goals-events-scraper/run-sync": { "post": { "operationId": "run-sync-jungle_synthesizer-fifa-wc-2026-match-lineups-goals-events-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 Items", "type": "integer", "description": "Maximum number of player-match records to return (0 = no limit, returns all)" }, "matchStatus": { "title": "Match Status Filter", "enum": [ "all", "played", "upcoming" ], "type": "string", "description": "Filter by match status: 'played' (only completed matches), 'upcoming' (unplayed), 'all' (default)" } } }, "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 } } } } } } } } } } ```