# 香港賽馬賽果及派彩: HKJC Results and Dividends Dataset

**Use case:** 

香港賽馬賽果及派彩 in one dataset: HKJC race results and pool dividends for a race meeting day. Each race lists finishing order, horse, jockey, trainer, and odds, plus payouts for Win, Place, Quinella, and Trio pools. Useful for Hong Kong racing fans, analysts, and data teams who need clean past results. Change the date to any meeting day.

## Input

```json
{
  "dateFrom": "2026-09-06",
  "dateTo": "2026-09-06",
  "racecourse": "ST",
  "raceNumbers": [
    1,
    2,
    3
  ],
  "includeDividends": true,
  "includeJockeyTrainerStats": false,
  "maxRaceDays": 1,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

## Output

```json
{
  "race_date": {
    "label": "Date",
    "format": "string"
  },
  "racecourse": {
    "label": "Course",
    "format": "string"
  },
  "race_number": {
    "label": "Race #",
    "format": "number"
  },
  "placing": {
    "label": "Placing",
    "format": "number"
  },
  "horse_number": {
    "label": "Horse #",
    "format": "number"
  },
  "horse_name": {
    "label": "Horse",
    "format": "string"
  },
  "jockey_name": {
    "label": "Jockey",
    "format": "string"
  },
  "trainer_name": {
    "label": "Trainer",
    "format": "string"
  },
  "draw": {
    "label": "Draw",
    "format": "number"
  },
  "actual_weight": {
    "label": "Act. Wt.",
    "format": "number"
  },
  "length_behind_winner": {
    "label": "LBW",
    "format": "string"
  },
  "finish_time": {
    "label": "Finish Time",
    "format": "string"
  },
  "win_odds": {
    "label": "Win Odds",
    "format": "number"
  },
  "race_title": {
    "label": "Race Title",
    "format": "string"
  },
  "race_class": {
    "label": "Class",
    "format": "string"
  },
  "going": {
    "label": "Going",
    "format": "string"
  }
}
```

## How it works

### 1. Sign up on Apify or log in

The HKJC Racing Scraper: Results, Dividends & Jockey/Trainer Stats Actor is ready to run with the inputs already set for "香港賽馬賽果及派彩: HKJC Results and Dividends Dataset". [Sign up or log in](https://console.apify.com/create-task-from-example/Yrlo5XaaYTzoOA15h) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "香港賽馬賽果及派彩: HKJC Results and Dividends Dataset" task

The HKJC Racing Scraper: Results, Dividends & Jockey/Trainer Stats Actor will start running based on the input automatically. You can also change all the input fields, like race date from, race date to, and more, to match your specific use case.

### 3. Receive the "香港賽馬賽果及派彩: HKJC Results and Dividends Dataset" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as date, course, race #, and more.

### 4. Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also [run the "香港賽馬賽果及派彩: HKJC Results and Dividends Dataset" task via API](https://apify.com/getascraper/hkjc-results-dividends-stats.md).

## About this Actor

This example demonstrates how to use [HKJC Racing Scraper: Results, Dividends & Jockey/Trainer Stats](https://apify.com/getascraper/hkjc-results-dividends-stats.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/getascraper/hkjc-results-dividends-stats.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

This Task's input is already configured above. Use it as-is rather than inventing a new one.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/getascraper/hkjc-results-dividends-stats.md

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).