# Quisqueya Racing: Dominican Horse Racing Tracker (`constructive_junk/quisqueya-racing-dominican-horse-racing-tracker`) Actor Scrape live race schedules, results, and odds from Dominican Republic horse racing. Covers Hipódromo V Centenario, SuperBets RD, and Betcris RD. AI-powered race analysis with OpenAI. - **URL**: https://apify.com/constructive\_junk/quisqueya-racing-dominican-horse-racing-tracker.md - **Developed by:** [Maria Correa-Resto](https://apify.com/constructive_junk) (community) - **Categories:** AI, Automation, News - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $9.00 / 1,000 race 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 ## 🏇 Quisqueya Racing: Dominican Horse Racing Tracker **The #1 Apify Actor for Dominican Republic Horse Racing Data** — scrape live race schedules, results, and betting odds from Hipódromo V Centenario, SuperBets RD, and Betcris RD. Powered by AI analysis with OpenAI GPT-4o. > Desarrollado por **Maria Correa-Resto** | Caribe Data Ecosystem --- ### 🇩🇴 What This Actor Does This actor tracks Dominican Republic horse racing from the **Hipódromo V Centenario** in Santo Domingo — the country's premier horse racing venue, hosting races every **Saturday and Sunday** (8–10 races per day). #### Two Operating Modes **RACE_SCRAPER Mode** (default) - Scrapes live race schedules, horse entries, jockey/trainer info, and race results - Collects betting odds from authorized platforms (SuperBets RD, Betcris RD) - Filters by date for targeted data collection - Returns structured JSON data ready for analysis or integration **AI_ANALYST Mode** (requires OpenAI API key) - Uses OpenAI (gpt-4o-mini or gpt-4o) to analyze each race - Identifies top picks, value bets, and race risk assessment - Generates Spanish-language betting strategy recommendations - Expert-level Dominican horse racing context built in to prompts --- ### 📊 Output Data Format Each race record includes: ```json { "source": "Hipódromo V Centenario", "trackName": "Hipódromo V Centenario", "raceNumber": 5, "raceName": "Carrera 5", "raceDate": "2026-07-05", "raceTime": "16:30", "distance": "1200m", "surface": "Dirt", "horseEntries": [ { "postPosition": 1, "horseName": "Estrella del Caribe", "jockey": "J. Martínez", "trainer": "R. Santos", "weight": "120 lbs", "morningLineOdds": "5/2" } ], "results": [], "odds": [ { "horseName": "Estrella del Caribe", "winOdds": "2.50", "source": "SuperBets RD" } ], "scrapedAt": "2026-07-03T14:00:00.000Z" } ```` *** ### ⚙️ Configuration | Parameter | Type | Default | Description | |-----------|------|---------|-------------| | mode | select | RACE\_SCRAPER | RACE\_SCRAPER or AI\_ANALYST | | maxRaces | integer | 50 | Max races to collect (0 = unlimited) | | scrapeOdds | boolean | true | Include betting odds | | scrapeResults | boolean | true | Include race results | | scrapeSchedule | boolean | true | Include upcoming schedule | | dateFilter | string | (empty) | Filter by date YYYY-MM-DD | | openaiApiKey | string | (empty) | Required for AI\_ANALYST mode | | openaiModel | select | gpt-4o-mini | OpenAI model for analysis | | proxyConfiguration | proxy | {} | Apify proxy settings | *** ### 🚀 Use Cases - **Betting research platforms** — Aggregate Dominican horse racing odds and results - **Sports data APIs** — Feed race data to downstream dashboards and systems - **AI-powered handicapping** — Let GPT-4o analyze races and suggest value bets - **Historical data collection** — Build RD horse racing databases for ML models - **Fantasy sports apps** — Track jockey and trainer performance over time - **Media & journalism** — Automated race result reporting for Dominican sports outlets *** ### 🏟️ About Hipódromo V Centenario Located in **Santo Domingo, República Dominicana**, the Hipódromo V Centenario is the country's premier horse racing venue: - **Race days**: Saturdays and Sundays (year-round) - **Cards**: 8–10 races per race day - **Surface**: Dirt track - **Online betting**: SuperBets RD and Betcris RD (licensed operators) *** ### ⚠️ Responsible Gambling Notice This actor is for **data collection and research purposes only**. AI analysis provides informational insights — **not guaranteed predictions**. Horse racing involves inherent risk. Please bet responsibly and only use licensed, authorized platforms. *** ### 📦 Technical Details - **Runtime**: Node.js 20 + Playwright Chrome - **Scraping**: Crawlee CheerioCrawler (SSR) + PlaywrightCrawler (SPA) - **AI**: OpenAI SDK with JSON structured output - **Proxy**: Apify RESIDENTIAL proxy supported - **Output**: Apify Dataset (JSON format) *** *Part of the **Caribe Data Ecosystem** — Caribbean market data tools for Apify.* # Actor input Schema ## `mode` (type: `string`): RACE\_SCRAPER: Scrape race schedules and results. AI\_ANALYST: OpenAI-powered race analysis and betting insights. ## `maxRaces` (type: `integer`): Max race records to collect (0 = unlimited). ## `scrapeOdds` (type: `boolean`): Scrape live odds from SuperBets RD and Betcris RD. ## `scrapeResults` (type: `boolean`): Include official race results and finishing positions. ## `scrapeSchedule` (type: `boolean`): Include upcoming race schedules and horse/jockey info. ## `dateFilter` (type: `string`): Filter by specific date. Leave empty for all dates. ## `openaiApiKey` (type: `string`): Required for AI\_ANALYST mode only. Get at https://platform.openai.com/api-keys ## `openaiModel` (type: `string`): Model for AI race analysis. gpt-4o-mini is recommended for cost efficiency. ## `proxyConfiguration` (type: `object`): Apify Proxy settings. RESIDENTIAL recommended for betting sites. ## Actor input object example ```json { "mode": "RACE_SCRAPER", "maxRaces": 50, "scrapeOdds": true, "scrapeResults": true, "scrapeSchedule": true, "dateFilter": "", "openaiApiKey": "", "openaiModel": "gpt-4o-mini", "proxyConfiguration": {} } ``` # 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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("constructive_junk/quisqueya-racing-dominican-horse-racing-tracker").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("constructive_junk/quisqueya-racing-dominican-horse-racing-tracker").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 constructive_junk/quisqueya-racing-dominican-horse-racing-tracker --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=constructive_junk/quisqueya-racing-dominican-horse-racing-tracker", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Quisqueya Racing: Dominican Horse Racing Tracker", "description": "Scrape live race schedules, results, and odds from Dominican Republic horse racing. Covers Hipódromo V Centenario, SuperBets RD, and Betcris RD. AI-powered race analysis with OpenAI.", "version": "0.0", "x-build-id": "3uT6LWJMVmFMPCq2V" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/constructive_junk~quisqueya-racing-dominican-horse-racing-tracker/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-constructive_junk-quisqueya-racing-dominican-horse-racing-tracker", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/constructive_junk~quisqueya-racing-dominican-horse-racing-tracker/runs": { "post": { "operationId": "runs-sync-constructive_junk-quisqueya-racing-dominican-horse-racing-tracker", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/constructive_junk~quisqueya-racing-dominican-horse-racing-tracker/run-sync": { "post": { "operationId": "run-sync-constructive_junk-quisqueya-racing-dominican-horse-racing-tracker", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "mode" ], "properties": { "mode": { "title": "Operation Mode", "enum": [ "RACE_SCRAPER", "AI_ANALYST" ], "type": "string", "description": "RACE_SCRAPER: Scrape race schedules and results. AI_ANALYST: OpenAI-powered race analysis and betting insights.", "default": "RACE_SCRAPER" }, "maxRaces": { "title": "Maximum Races", "minimum": 0, "maximum": 500, "type": "integer", "description": "Max race records to collect (0 = unlimited).", "default": 50 }, "scrapeOdds": { "title": "Include Betting Odds", "type": "boolean", "description": "Scrape live odds from SuperBets RD and Betcris RD.", "default": true }, "scrapeResults": { "title": "Include Race Results", "type": "boolean", "description": "Include official race results and finishing positions.", "default": true }, "scrapeSchedule": { "title": "Include Race Schedule", "type": "boolean", "description": "Include upcoming race schedules and horse/jockey info.", "default": true }, "dateFilter": { "title": "Date Filter (YYYY-MM-DD)", "type": "string", "description": "Filter by specific date. Leave empty for all dates.", "default": "" }, "openaiApiKey": { "title": "OpenAI API Key", "type": "string", "description": "Required for AI_ANALYST mode only. Get at https://platform.openai.com/api-keys", "default": "" }, "openaiModel": { "title": "OpenAI Model", "enum": [ "gpt-4o-mini", "gpt-4o", "gpt-4-turbo" ], "type": "string", "description": "Model for AI race analysis. gpt-4o-mini is recommended for cost efficiency.", "default": "gpt-4o-mini" }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Apify Proxy settings. RESIDENTIAL recommended for betting sites.", "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 } } } } } } } } } } ```