# FIFA World Cup 2026 — Results, Fixtures & Standings (`veeronica/fifa-world-cup-2026-results-fixtures-standings`) Actor Scrape FIFA World Cup 2026 data: live scores, match results, upcoming fixtures, group standings, the knockout bracket, goal scorers, cards, venues, and attendance. Filter by stage, match status, or team. - **URL**: https://apify.com/veeronica/fifa-world-cup-2026-results-fixtures-standings.md - **Developed by:** [Veronica](https://apify.com/veeronica) (community) - **Categories:** News, Automation - **Stats:** 9 total users, 5 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $5.00 / 1,000 group standings 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 Scraper — Results, Fixtures, Standings & Bracket ### Overview This Apify Actor scrapes the **entire FIFA World Cup 2026** — all 104 matches across the USA, Canada, and Mexico — in a single run, returning structured, deduplicated results. Get **live scores, final results, upcoming fixtures, the full knockout bracket, group standings, goal scorers, cards, venues, and attendance** without any API keys or coding. Data updates live during matches, so a run started mid-game returns the latest available scoreline, scorers, and cards. **At a glance:** - ⚽ All 104 matches — group stage through the final - 📊 All 12 group tables (48 teams) - 🏆 Full knockout bracket, including placeholder fixtures before teams qualify - 🔄 Auto-deduplicated across overlapping stage windows - 💾 Export to JSON, CSV, Excel, or XML - 🔌 No API key required --- ### ✨ Core Features - **Complete coverage** — Group Stage, Round of 32, Round of 16, Quarterfinals, Semifinals, Third-Place Match, and Final - **Live scores & results** — scoreline, status (scheduled / live / full-time), and winner, updated in real time - **Upcoming fixtures** — kickoff times, venues, and broadcasters for games not yet played - **Knockout bracket** — every knockout tie, with placeholders like *Group A Winner vs Group B Runner-up* until teams are confirmed - **Group standings** — rank, played, W/D/L, goals for/against, goal difference, points, and qualification status - **Goal scorers & cards** — every goal (with minute, own goals, penalties) and every yellow/red card - **Match context** — stadium, city, country, attendance, TV/streaming networks, and a recap headline - **Powerful filters** — by stage, match status, or specific team - **Auto-deduplication** — each match appears exactly once, even across stage boundaries --- ### 📥 Input Parameters All parameters are optional. Run with empty input to scrape the whole tournament plus standings. | Field | Type | Default | Notes | |-------|------|---------|-------| | `stages` | array | all stages | Stages to scrape: `group-stage`, `round-of-32`, `round-of-16`, `quarterfinals`, `semifinals`, `3rd-place-match`, `final` | | `matchStatus` | string | `all` | Filter by status: `all`, `completed` (results), `upcoming` (fixtures), `live` | | `team` | string | — | Only matches involving this team. Accepts a name or 3-letter code (e.g. `Mexico`, `USA`, `BRA`) | | `includeMatchDetails` | boolean | `true` | Include goal scorers, cards, attendance, broadcasts, and recap | | `includeStandings` | boolean | `true` | Also output the 12 group tables (one row per team) | --- ### 📤 Output Fields Results are stored in the default dataset. Each item has a `recordType` of either `match` or `standing`. #### Match records (`recordType: "match"`) **Identity:** `id`, `stage`, `stageSlug`, `group`, `name`, `shortName`, `url` **Schedule & status:** `date` (ISO kickoff), `status` (`scheduled` / `in` / `post`), `statusDetail`, `completed` **Teams** (`homeTeam` & `awayTeam`): `name`, `abbreviation`, `logo`, `score`, `shootoutScore`, `winner`, `advanced`, `form`, `record` **Result:** `score` (e.g. `2-0` or `1-1 (4-2 pens)`), `winner` **Venue:** `venue.name`, `venue.city`, `venue.country`, `attendance` **Match events:** `goals[]` (minute, player, teamId, ownGoal, penalty), `cards[]` (minute, player, teamId, type), `broadcasts[]`, `recap` #### Standing records (`recordType: "standing"`) `group`, `rank`, `team` (name / abbreviation / logo), `played`, `wins`, `draws`, `losses`, `goalsFor`, `goalsAgainst`, `goalDifference`, `points`, `note` (qualification status, e.g. *Advance to Round of 32*) --- ### 💵 Pricing **Pay-per-event** — you pay only for the data you actually pull: - **Actor start** — once per run - **Match** — per match record returned - **Group standings** — once per run, only when *Include group standings* is on (flat fee for all 12 tables) See the **Pricing** tab on the Actor's page for current rates. --- ### ⚠️ Notes & Limitations - **Unplayed matches** return `score: null` and `winner: null`. Knockout fixtures show placeholder team names (e.g. *Group D 2nd Place*) until the bracket is decided. - **Status values:** `scheduled` (upcoming), `in` (live now), `post` (finished). A draw is reported as `winner: "Draw"` once completed. - **Mixed dataset:** matches and standings share one dataset. The dataset views ("Matches" and "Group standings") control which columns display — standings columns appear blank on match rows and vice versa. - **Freshness:** schedule the Actor to re-run during the tournament (11 June – 19 July 2026) to keep results and standings current. - **Source:** publicly available match data. Use responsibly and in line with applicable terms and laws. --- ### 🧪 Usage Examples #### Whole tournament (default) ```json { "matchStatus": "all", "includeMatchDetails": true, "includeStandings": true } ```` #### Only completed results ```json { "matchStatus": "completed", "includeStandings": false } ``` #### Upcoming fixtures, knockout rounds only ```json { "stages": ["round-of-32", "round-of-16", "quarterfinals", "semifinals", "final"], "matchStatus": "upcoming" } ``` #### One team's matches ```json { "team": "Mexico", "includeStandings": false } ``` #### Group standings only ```json { "stages": [], "matchStatus": "completed", "includeStandings": true, "includeMatchDetails": false } ``` *** ### 🛠️ Integration Guide Replace `` with your Apify token and `` with this Actor's ID (e.g. `your-username/world-cup-2026-scraper`). #### JavaScript / TypeScript ```bash npm install apify-client ``` ```javascript import { ApifyClient } from 'apify-client'; const client = new ApifyClient({ token: '' }); const input = { matchStatus: 'completed', includeStandings: true }; const run = await client.actor('').call(input); const { items } = await client.dataset(run.defaultDatasetId).listItems(); console.log(items); ``` #### Python ```bash pip install apify-client ``` ```python from apify_client import ApifyClient client = ApifyClient("") run_input = {"matchStatus": "completed", "includeStandings": True} run = client.actor("").call(run_input=run_input) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) ``` #### CLI ```bash echo '{"matchStatus":"completed"}' | apify call --silent --output-dataset ``` #### MCP Server ```json { "mcpServers": { "apify": { "command": "npx", "args": ["mcp-remote", "https://mcp.apify.com/?tools=", "--header", "Authorization: Bearer "] } } } ``` *** ### FAQ & Best Practices **Q: How current is the data?** A: Scores, scorers, cards, and standings update live during matches, so a run started mid-game returns the latest available state. **Q: How do I get only my country's games?** A: Set the `team` filter to a country name or 3-letter code (e.g. `Argentina` or `ARG`). **Q: Can I get the knockout bracket before the groups finish?** A: Yes. Scrape the knockout `stages` with `matchStatus: "upcoming"` — fixtures appear with placeholder names (e.g. *Group A Winner*) and resolve to real teams as the bracket fills in. **Q: What's the difference between the statuses?** A: `scheduled` = upcoming fixture, `in` = match in progress, `post` = finished. Use `matchStatus` to filter to exactly what you need. **Q: Do I need a proxy?** A: No setup needed. The Actor uses the default Apify Proxy automatically, which is sufficient for the public data source. *** **Ready to start?** Click **Start** with the default input to grab the full tournament, or set a filter to narrow it down to one stage, status, or team. # Actor input Schema ## `stages` (type: `array`): Which tournament stages to scrape matches from. Leave empty to include every stage (group stage through the final). ## `matchStatus` (type: `string`): Filter matches by status. Completed = finished matches (results). Upcoming = scheduled fixtures yet to be played. Live = currently in progress. ## `team` (type: `string`): Only return matches involving this team. Matches by team name or 3-letter code, e.g. Mexico, USA, BRA. Leave empty for all teams. ## `includeMatchDetails` (type: `boolean`): Include goal scorers, cards, attendance, broadcasts, and the match recap for each match. Turn off for a lighter scoreline-only output. ## `includeStandings` (type: `boolean`): Also output the 12 group tables (one record per team) with points, wins/draws/losses, goals for/against, and goal difference. ## Actor input object example ```json { "stages": [], "matchStatus": "all", "includeMatchDetails": true, "includeStandings": true } ``` # Actor output Schema ## `matches` (type: `string`): World Cup 2026 matches: results, upcoming fixtures, the knockout bracket, scores, goal scorers, cards, venues, and attendance. ## `standings` (type: `string`): Group tables for all 12 groups — one row per team with rank, played, W/D/L, goals for/against, goal difference, and points. Empty when 'Include group standings' is off. # 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("veeronica/fifa-world-cup-2026-results-fixtures-standings").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("veeronica/fifa-world-cup-2026-results-fixtures-standings").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 veeronica/fifa-world-cup-2026-results-fixtures-standings --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=veeronica/fifa-world-cup-2026-results-fixtures-standings", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "FIFA World Cup 2026 — Results, Fixtures & Standings", "description": "Scrape FIFA World Cup 2026 data: live scores, match results, upcoming fixtures, group standings, the knockout bracket, goal scorers, cards, venues, and attendance. Filter by stage, match status, or team.", "version": "1.0", "x-build-id": "6r13gUpNJaEkhAEKa" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/veeronica~fifa-world-cup-2026-results-fixtures-standings/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-veeronica-fifa-world-cup-2026-results-fixtures-standings", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/veeronica~fifa-world-cup-2026-results-fixtures-standings/runs": { "post": { "operationId": "runs-sync-veeronica-fifa-world-cup-2026-results-fixtures-standings", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/veeronica~fifa-world-cup-2026-results-fixtures-standings/run-sync": { "post": { "operationId": "run-sync-veeronica-fifa-world-cup-2026-results-fixtures-standings", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "stages": { "title": "Stages", "type": "array", "description": "Which tournament stages to scrape matches from. Leave empty to include every stage (group stage through the final).", "items": { "type": "string", "enum": [ "group-stage", "round-of-32", "round-of-16", "quarterfinals", "semifinals", "3rd-place-match", "final" ], "enumTitles": [ "Group Stage", "Round of 32", "Round of 16", "Quarterfinals", "Semifinals", "Third-Place Match", "Final" ] }, "default": [] }, "matchStatus": { "title": "Match status", "enum": [ "all", "completed", "upcoming", "live" ], "type": "string", "description": "Filter matches by status. Completed = finished matches (results). Upcoming = scheduled fixtures yet to be played. Live = currently in progress.", "default": "all" }, "team": { "title": "Team filter", "type": "string", "description": "Only return matches involving this team. Matches by team name or 3-letter code, e.g. Mexico, USA, BRA. Leave empty for all teams." }, "includeMatchDetails": { "title": "Include match details", "type": "boolean", "description": "Include goal scorers, cards, attendance, broadcasts, and the match recap for each match. Turn off for a lighter scoreline-only output.", "default": true }, "includeStandings": { "title": "Include group standings", "type": "boolean", "description": "Also output the 12 group tables (one record per team) with points, wins/draws/losses, goals for/against, and goal difference.", "default": true } } }, "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 } } } } } } } } } } ```