# World USCAMX Cup 3in1 2026 AI PREDICTOR & STATS (`rjm8pro/world-cup-2026-betting-analyst`) Actor AI-powered FIFA World Cup 2026 match analyst. Scrapes stats from Flashscore & Sofascore, compares odds from Bet365 & DraftKings, detects value bets with Poisson model, and generates tactical analysis with Claude AI. Full pre-match report in 2 minutes. - **URL**: https://apify.com/rjm8pro/world-cup-2026-betting-analyst.md - **Developed by:** [Reinaldo Martinez](https://apify.com/rjm8pro) (community) - **Categories:** AI, Agents, Developer tools - **Stats:** 3 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $500.00 / 1,000 results This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. 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 ./README.md # Actor input Schema ## `team1` (type: `string`): Nombre de la primera seleccion. Ej: Argentina, Brazil, France ## `team2` (type: `string`): Nombre de la segunda seleccion. Ej: Germany, Spain, England ## `matchDate` (type: `string`): Fecha en formato YYYY-MM-DD. Opcional — si no se indica, se usa el proximo partido entre los equipos. ## `matchPhase` (type: `string`): Fase del partido — afecta los ajustes del modelo estadistico ## `enableOdds` (type: `boolean`): Activa el scraping de cuotas de casas de apuestas para deteccion de value bets ## `enableLineups` (type: `boolean`): Activa el scraping de plantillas, lesionados y alineacion probable ## `enableHeadToHead` (type: `boolean`): Incluye el historial de enfrentamientos directos entre ambos equipos ## `maxH2HMatches` (type: `integer`): Cuantos enfrentamientos directos historicos incluir en el analisis ## `oddsProviders` (type: `array`): Lista de proveedores de cuotas a incluir en la comparacion ## `proxyConfig` (type: `object`): Configuracion de proxy de Apify. Se recomienda usar proxies residenciales para mejores resultados. ## Actor input object example ```json { "team1": "Argentina", "team2": "France", "matchDate": "2026-07-05", "matchPhase": "group", "enableOdds": true, "enableLineups": true, "enableHeadToHead": true, "maxH2HMatches": 10, "oddsProviders": [ "bet365", "draftkings", "betway" ], "proxyConfig": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ```` # 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 = { "proxyConfig": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }; // Run the Actor and wait for it to finish const run = await client.actor("rjm8pro/world-cup-2026-betting-analyst").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 = { "proxyConfig": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], } } # Run the Actor and wait for it to finish run = client.actor("rjm8pro/world-cup-2026-betting-analyst").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 '{ "proxyConfig": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }' | apify call rjm8pro/world-cup-2026-betting-analyst --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=rjm8pro/world-cup-2026-betting-analyst", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "World USCAMX Cup 3in1 2026 AI PREDICTOR & STATS", "description": "AI-powered FIFA World Cup 2026 match analyst. Scrapes stats from Flashscore & Sofascore, compares odds from Bet365 & DraftKings, detects value bets with Poisson model, and generates tactical analysis with Claude AI. Full pre-match report in 2 minutes.", "version": "0.1", "x-build-id": "3zdDTjnBtEh0fZJzX" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/rjm8pro~world-cup-2026-betting-analyst/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-rjm8pro-world-cup-2026-betting-analyst", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/rjm8pro~world-cup-2026-betting-analyst/runs": { "post": { "operationId": "runs-sync-rjm8pro-world-cup-2026-betting-analyst", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/rjm8pro~world-cup-2026-betting-analyst/run-sync": { "post": { "operationId": "run-sync-rjm8pro-world-cup-2026-betting-analyst", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "team1", "team2" ], "properties": { "team1": { "title": "Equipo 1 (local / primer listado)", "type": "string", "description": "Nombre de la primera seleccion. Ej: Argentina, Brazil, France" }, "team2": { "title": "Equipo 2 (visitante / segundo listado)", "type": "string", "description": "Nombre de la segunda seleccion. Ej: Germany, Spain, England" }, "matchDate": { "title": "Fecha del partido", "type": "string", "description": "Fecha en formato YYYY-MM-DD. Opcional — si no se indica, se usa el proximo partido entre los equipos." }, "matchPhase": { "title": "Fase del torneo", "enum": [ "group", "round_of_16", "quarter", "semi", "final" ], "type": "string", "description": "Fase del partido — afecta los ajustes del modelo estadistico", "default": "group" }, "enableOdds": { "title": "Incluir analisis de cuotas", "type": "boolean", "description": "Activa el scraping de cuotas de casas de apuestas para deteccion de value bets", "default": true }, "enableLineups": { "title": "Incluir alineaciones y lesiones", "type": "boolean", "description": "Activa el scraping de plantillas, lesionados y alineacion probable", "default": true }, "enableHeadToHead": { "title": "Incluir head-to-head historico", "type": "boolean", "description": "Incluye el historial de enfrentamientos directos entre ambos equipos", "default": true }, "maxH2HMatches": { "title": "Maximo de partidos H2H a analizar", "minimum": 3, "maximum": 20, "type": "integer", "description": "Cuantos enfrentamientos directos historicos incluir en el analisis", "default": 10 }, "oddsProviders": { "title": "Casas de apuestas a consultar", "type": "array", "description": "Lista de proveedores de cuotas a incluir en la comparacion", "items": { "type": "string" }, "default": [ "bet365", "draftkings", "betway" ] }, "proxyConfig": { "title": "Configuracion de proxy (opcional)", "type": "object", "description": "Configuracion de proxy de Apify. Se recomienda usar proxies residenciales para mejores resultados." } } }, "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 } } } } } } } } } } ```