# wc2026-fixture | 世界杯2026赛程数据 (`kindly_bolt/wc2026-actors`) Actor Scrape all 104 FIFA World Cup 2026 fixtures across 12 groups & 48 teams. Filter by group or team. JSON output with dates, venues & kickoff times. Supports English, 简体中文 & 繁體中文. Perfect for betting, fantasy & sports media. - **URL**: https://apify.com/kindly\_bolt/wc2026-actors.md - **Developed by:** [Benny TANG](https://apify.com/kindly_bolt) (community) - **Categories:** Automation, Developer tools, News - **Stats:** 3 total users, 0 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $5.00 / 1,000 fixture | 世界杯2026赛程数据 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 ## ⚽ FIFA World Cup 2026 — Fixture & Group Scraper > **世界杯2026赛程抓取器** | 抓取全部104场赛程、分组数据、场馆信息 Scrape all **104 FIFA World Cup 2026 fixtures** across 12 groups and 48 teams. Returns structured JSON — ready for betting platforms, fantasy apps, and sports media. --- ### 📊 What You Get Each fixture record contains: | Field | Description | |---|---| | `match_id` | Official FIFA match number | | `group` | Group A–L or knockout round | | `date` | Match date (YYYY-MM-DD) | | `kickoff_local` | Local kickoff time | | `timezone` | Venue timezone (EDT/CDT/PDT) | | `home_team` / `away_team` | Team names (English or Chinese) | | `venue` | Stadium name | | `city` | Host city | | `home_score` / `away_score` | Result (when available) | | `status` | `scheduled` / `live` / `finished` | --- ### 🔧 Input Options | Option | Type | Default | Description | |---|---|---|---| | `filter_group` | string | `""` | Filter by group (A–L) or round | | `filter_team` | string | `""` | Filter by team name | | `include_results` | boolean | `true` | Include scores | | `language` | string | `"en"` | `en` / `zh-CN` / `zh-TW` | --- ### 📦 Example Output ```json { "match_id": 7, "group": "C", "date": "2026-06-13", "kickoff_local": "18:00", "timezone": "EDT", "venue": "MetLife Stadium", "city": "New York/New Jersey", "home_team": "Brazil", "away_team": "Morocco", "status": "scheduled", "home_score": null, "away_score": null, "result": null } ```` *** ### 🌏 All 12 Groups (48 Teams) | Group | Teams | |---|---| | A | Mexico, South Korea, South Africa, Czechia | | B | Canada, Switzerland, Qatar, Bosnia-Herzegovina | | C | Brazil, Morocco, Haiti, Scotland | | D | United States, Paraguay, Australia, Türkiye | | E | Germany, Curaçao, Ivory Coast, Ecuador | | F | Netherlands, Japan, Sweden, Tunisia | | G | Belgium, Egypt, Iran, New Zealand | | H | Spain, Cape Verde, Saudi Arabia, Uruguay | | I | France, Senegal, Iraq, Norway | | J | Argentina, Algeria, Austria, Jordan | | K | Portugal, DR Congo, Uzbekistan, Colombia | | L | England, Croatia, Ghana, Panama | *** ### 🎯 Who Uses This Actor - **Betting affiliate websites** — match preview content - **Tipster platforms** — fixture data for picks - **Fantasy football apps** — group stage data - **Sports media** — WeChat/Weibo content automation - **AI/RAG pipelines** — structured input for LLM match previews - **n8n / Make / Zapier** — automated matchday workflows *** ### 🔗 Pair With - **WC2026 Match Predictor** — AI-powered win probabilities + Asian Handicap picks - **WC2026 Asian Handicap Odds Tracker** — coming soon *** *Data source: FIFA official / Wikipedia public structured data* *Updated: daily during tournament | Tournament: June 11 – July 19, 2026* *** **中文说明** | 本Actor抓取2026年FIFA世界杯全部104场赛程数据，支持按分组或球队筛选， 输出结构化JSON数据，支持简体中文/繁体中文/英文输出。适合博彩平台、竞彩用户、幻想足球应用和体育媒体使用。 # Actor input Schema ## `filter_group` (type: `string`): Return only fixtures for a specific group. Leave empty for all 104 matches. Example: A, B, L ## `filter_team` (type: `string`): Return only fixtures involving a specific team. Example: Brazil, England, Japan ## `include_results` (type: `boolean`): Include match scores where available. ## `language` (type: `string`): Team and venue names language preference. ## Actor input object example ```json { "filter_group": "", "filter_team": "", "include_results": true, "language": "en" } ``` # 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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("kindly_bolt/wc2026-actors").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 = {} # Run the Actor and wait for it to finish run = client.actor("kindly_bolt/wc2026-actors").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 '{}' | apify call kindly_bolt/wc2026-actors --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=kindly_bolt/wc2026-actors", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "wc2026-fixture | 世界杯2026赛程数据", "description": "Scrape all 104 FIFA World Cup 2026 fixtures across 12 groups & 48 teams. Filter by group or team. JSON output with dates, venues & kickoff times. Supports English, 简体中文 & 繁體中文. Perfect for betting, fantasy & sports media.", "version": "0.0", "x-build-id": "q0HzuPmN5hjk2ccGa" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/kindly_bolt~wc2026-actors/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-kindly_bolt-wc2026-actors", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/kindly_bolt~wc2026-actors/runs": { "post": { "operationId": "runs-sync-kindly_bolt-wc2026-actors", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/kindly_bolt~wc2026-actors/run-sync": { "post": { "operationId": "run-sync-kindly_bolt-wc2026-actors", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "filter_group": { "title": "Filter by Group (optional)", "enum": [ "", "A", "B", "C", "D", "E", "F", "G", "H", "I", "J", "K", "L", "Round of 32", "Quarter-final", "Semi-final", "Final" ], "type": "string", "description": "Return only fixtures for a specific group. Leave empty for all 104 matches. Example: A, B, L", "default": "" }, "filter_team": { "title": "Filter by Team (optional)", "type": "string", "description": "Return only fixtures involving a specific team. Example: Brazil, England, Japan", "default": "" }, "include_results": { "title": "Include Results", "type": "boolean", "description": "Include match scores where available.", "default": true }, "language": { "title": "Output Language", "enum": [ "en", "zh-CN", "zh-TW" ], "type": "string", "description": "Team and venue names language preference.", "default": "en" } } }, "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 } } } } } } } } } } ```