# HK Centaline Property Index — 中原指數 API (`nexgendata/hk-centaline-property-index`) Actor

Track the Hong Kong Centaline property price index (CCL). Clean JSON for analysts and AI agents.

- **URL**: https://apify.com/nexgendata/hk-centaline-property-index.md
- **Developed by:** [NexGenData](https://apify.com/nexgendata) (community)
- **Categories:** Real estate
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $50.00 / 1,000 property index records

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 web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — 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

## HK Centaline Property Index

Track the Hong Kong Centaline property price index (CCL). Built for analysts, researchers, fintech builders and AI agents.

### 📊 What you get

Clean JSON, one record per record (full output has 13 fields):

- `change_pct` — Change pct
- `change_pct_mom` — Change pct mom
- `change_period` — Change period
- `data_type` — Data type
- `date` — Date
- `index_full_name` — Index full name
- `index_name` — Index name
- `index_value` — Index value
- `publisher` — Publisher
- `region` — Region

**Pricing:** $0.10 per record (Pay-Per-Event) — about **10 records per $1**.

### 🤖 Use with AI agents

Structured JSON built for LLM and agent pipelines — point Claude, the OpenAI Agents SDK, an n8n flow or any MCP-aware client at it and pull Hong Kong Centaline property price index on demand.

**Sample agent prompt:**

```
Pull the latest Hong Kong Centaline (CCL) property index and its monthly change.
```

**Agentic payments (x402):** Supports agentic payment via x402 — agents can call this actor with USDC, no API key required.

### ⏰ Run on a schedule

This is a monitoring play — schedule a recurring pull:

```json
{
  "limit": 50
}
```

### 繁體中文說明

本 Actor 提供香港中原城市指數（CCL）的物業價格指數資料，輸出為整潔的 JSON，適用於分析師、量化研究人員、金融科技開發者及 AI 代理程式。按「指數記錄」計費（每美元約 10 筆），並支援定時執行——可每日或每週自動抓取香港樓價指數追蹤，是持續監控型的資料來源。

### 🔗 Related HK / Taiwan actors

**Territory data suite:** [HKEX Announcements](https://apify.com/nexgendata/hkex-news-announcements), [HKEX IPO Calendar](https://apify.com/nexgendata/hkex-ipo-calendar), [HK Companies Registry](https://apify.com/nexgendata/hk-companies-registry), [HK SFC Enforcement](https://apify.com/nexgendata/hk-sfc-enforcement-tracker)

**Cross-market hubs:** [APAC Disclosure Monitor](https://apify.com/nexgendata/apac-disclosure-monitor), [APAC IPO Calendar Sweep](https://apify.com/nexgendata/apac-ipo-calendar-sweep)

***

*Data from public Hong Kong / Taiwan sources.*

# Actor input Schema

## `regions` (type: `array`):

Hong Kong districts to pull regional Centa-City Leading Index sub-indices for. Choose 'all' to get every region (HK Island, Kowloon, NT East, NT West) plus the headline CCL and segment cuts (CCL Mass, CCL Large, CCL Large Estates). HK\_ISLAND covers Central / Wan Chai / Eastern / Southern; KOWLOON covers Yau Tsim Mong / Sham Shui Po / Kowloon City / Wong Tai Sin / Kwun Tong; NT\_EAST covers Sha Tin / Tai Po / North / Sai Kung; NT\_WEST covers Kwai Tsing / Tsuen Wan / Tuen Mun / Yuen Long / Islands.

## `historicalDays` (type: `integer`):

How many days of historical weekly CCL data to include in the dataset. The Centa-City Leading Index is published weekly every Friday and the underlying series goes back to January 1994. Set 30 for the last ~4 weekly readings, 90 for the last quarter, 365 for the last year, 3650 for the last decade, or 20000 to pull the full 30+ year history. Set 0 to return the current week's snapshot only (no historical rows).

## `includeHistory` (type: `boolean`):

When true (default), the actor also pushes one row per historical weekly CCL data point within the `historicalDays` window — useful for time-series analysis, charting, and back-testing buy/sell signals against Hong Kong's residential property cycle. When false, only the current-week snapshot rows (headline CCL + segment cuts + per-region) are pushed, which keeps the run cheap when you only need today's reading.

## Actor input object example

```json
{
  "regions": [
    "all"
  ],
  "historicalDays": 30,
  "includeHistory": true
}
```

# 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 '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "regions": [
        "all"
    ],
    "historicalDays": 30,
    "includeHistory": true
};

// Run the Actor and wait for it to finish
const run = await client.actor("nexgendata/hk-centaline-property-index").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 '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "regions": ["all"],
    "historicalDays": 30,
    "includeHistory": True,
}

# Run the Actor and wait for it to finish
run = client.actor("nexgendata/hk-centaline-property-index").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 '{
  "regions": [
    "all"
  ],
  "historicalDays": 30,
  "includeHistory": true
}' |
apify call nexgendata/hk-centaline-property-index --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=nexgendata/hk-centaline-property-index",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/X3GNGwtgIuOVsMgzt/builds/2Uxf5SKFMNRPbNotC/openapi.json