# World Cup 2026 & Soccer Scores Scraper (`seemuapps/world-cup-soccer-scores-scraper`) Actor Get live scores, fixtures, results, and group standings for the FIFA World Cup 2026 plus 18 soccer leagues and cups. Team scores, venue, broadcast, form. No API key. - **URL**: https://apify.com/seemuapps/world-cup-soccer-scores-scraper.md - **Developed by:** [Andrew](https://apify.com/seemuapps) (community) - **Categories:** Automation, AI, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $3.00 / 1,000 results 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 ## World Cup 2026 & Soccer Scores Scraper Get live scores, fixtures, full-time results, and group standings for the FIFA World Cup 2026 and 18 more soccer leagues and cups. No login, no API key, no cookies. Every match comes back as one clean row, ready to export to CSV, Excel, or Google Sheets, or to feed a dashboard, bot, or alert. ### What you get For every match: - Home and away team names, abbreviations, team IDs, and current form - Live or final score, winner flag, and match status (scheduled, in progress, full time) - Kickoff date and time, competition stage, and group - Venue, city, country, and attendance - TV broadcast networks and a direct match link For every competition (optional standings dataset): - Group or league table with rank, points, games played, wins, draws, and losses - Goals for, goals against, and goal difference per team ### Competitions covered FIFA World Cup, FIFA Women's World Cup, UEFA Champions League, UEFA Europa League, UEFA Europa Conference League, UEFA European Championship, Copa America, English Premier League, EFL Championship, La Liga, Serie A, Bundesliga, Ligue 1, Eredivisie, Primeira Liga, Major League Soccer, Liga MX, Brazilian Serie A, and the Saudi Pro League. ### Use cases - Live score widgets, dashboards, and Telegram or Slack match alerts - Fantasy football and prediction models that need fixtures and results - Sports media and newsletters that publish tables and recaps - Historical results datasets for analysis and visualization - Group stage tracking during the World Cup 2026 ### How to use 1. Pick one or more **Competitions** (defaults to the World Cup) 2. Optionally set **Dates** to a single day or a date range to pull fixtures or past results 3. Leave **Include standings** on to also get the group and league tables 4. Set **Max matches** if you want to cap the number of match rows (0 means no cap) 5. Run the actor. Matches land in the **Dataset** tab; standings land in a separate dataset named **standings** in the **Storage** tab ### Input example ```json { "competitions": ["worldcup"], "dates": "", "includeStandings": true, "maxItems": 0 } ```` Pull a full season of past results for two leagues: ```json { "competitions": ["epl", "laliga"], "dates": "20260101-20261231", "includeStandings": false, "maxItems": 0 } ``` ### Output example A match record: ```json { "competition": "worldcup", "competitionName": "FIFA World Cup", "season": 2026, "stage": "group-stage", "group": "Group K", "matchId": "760461", "name": "Uzbekistan at Portugal", "date": "2026-06-23T17:00Z", "status": "STATUS_FULL_TIME", "statusDetail": "FT", "state": "post", "completed": true, "homeTeam": "Portugal", "homeScore": 5, "homeWinner": true, "homeForm": "WDWWW", "awayTeam": "Uzbekistan", "awayScore": 0, "venue": "NRG Stadium", "city": "Houston, Texas", "country": "USA", "attendance": 68777, "broadcast": "FOX, Tele, FOX One", "matchUrl": "https://www.espn.com/soccer/match/_/gameId/760461/uzbekistan-portugal" } ``` A standings record: ```json { "competition": "worldcup", "competitionName": "FIFA World Cup", "group": "Group A", "rank": 1, "team": "Mexico", "gamesPlayed": 2, "wins": 2, "draws": 0, "losses": 0, "points": 6, "goalsFor": 3, "goalsAgainst": 0, "goalDifference": 3 } ``` ### Notes - Dates are in UTC. Use the `dates` field to fetch fixtures for upcoming days or results from past days. - Live matches update their score and status each time you run the actor, so schedule it on a short interval for near real time scores. - Scores and winner flags are only filled once a match has kicked off. Scheduled matches return null scores. # Actor input Schema ## `competitions` (type: `array`): Competition keys to scrape. Valid: worldcup, wwc, ucl, uel, uecl, euros, copaamerica, epl, championship, laliga, seriea, bundesliga, ligue1, eredivisie, primeira, mls, ligamx, brasileirao, saudi. Pass several to scrape multiple competitions in one run. ## `dates` (type: `string`): Optional. 'YYYYMMDD' for a single day or 'YYYYMMDD-YYYYMMDD' for a date range, all UTC. Leave empty for today's matches. ## `includeStandings` (type: `boolean`): When enabled, group and league standings (rank, points, wins, draws, losses, goals) are written to a separate 'standings' dataset. ## `maxItems` (type: `integer`): Maximum number of match rows to return. 0 = no cap. Standings rows are not affected by this limit. ## Actor input object example ```json { "competitions": [ "worldcup" ], "includeStandings": true, "maxItems": 0 } ``` # Actor output Schema ## `results` (type: `string`): One match per record. Fields: competition, competitionName, season, stage, group, matchId, name, date, status, statusDetail, state, completed, home and away team names, abbreviations, ids, scores, winners, form, records, venue, city, country, attendance, broadcast, matchUrl, fetchedAt. When 'Include standings' is enabled, group and league tables are written to a separate dataset named 'standings' (open the Storage tab to view it) with rank, points, wins, draws, losses, goalsFor, goalsAgainst, and goalDifference per team. # 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 = { "competitions": [ "worldcup" ], "dates": "" }; // Run the Actor and wait for it to finish const run = await client.actor("seemuapps/world-cup-soccer-scores-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 = { "competitions": ["worldcup"], "dates": "", } # Run the Actor and wait for it to finish run = client.actor("seemuapps/world-cup-soccer-scores-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 '{ "competitions": [ "worldcup" ], "dates": "" }' | apify call seemuapps/world-cup-soccer-scores-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=seemuapps/world-cup-soccer-scores-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "World Cup 2026 & Soccer Scores Scraper", "description": "Get live scores, fixtures, results, and group standings for the FIFA World Cup 2026 plus 18 soccer leagues and cups. Team scores, venue, broadcast, form. No API key.", "version": "1.0", "x-build-id": "IjrLtmmvbkhnd2OgS" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/seemuapps~world-cup-soccer-scores-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-seemuapps-world-cup-soccer-scores-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/seemuapps~world-cup-soccer-scores-scraper/runs": { "post": { "operationId": "runs-sync-seemuapps-world-cup-soccer-scores-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/seemuapps~world-cup-soccer-scores-scraper/run-sync": { "post": { "operationId": "run-sync-seemuapps-world-cup-soccer-scores-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "competitions" ], "properties": { "competitions": { "title": "Competitions", "type": "array", "description": "Competition keys to scrape. Valid: worldcup, wwc, ucl, uel, uecl, euros, copaamerica, epl, championship, laliga, seriea, bundesliga, ligue1, eredivisie, primeira, mls, ligamx, brasileirao, saudi. Pass several to scrape multiple competitions in one run.", "default": [ "worldcup" ], "items": { "type": "string" } }, "dates": { "title": "Dates (optional)", "type": "string", "description": "Optional. 'YYYYMMDD' for a single day or 'YYYYMMDD-YYYYMMDD' for a date range, all UTC. Leave empty for today's matches." }, "includeStandings": { "title": "Include standings", "type": "boolean", "description": "When enabled, group and league standings (rank, points, wins, draws, losses, goals) are written to a separate 'standings' dataset.", "default": true }, "maxItems": { "title": "Max matches", "minimum": 0, "type": "integer", "description": "Maximum number of match rows to return. 0 = no cap. Standings rows are not affected by this limit.", "default": 0 } } }, "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 } } } } } } } } } } ```