# HKEX Listed Company Announcements & Filings Scraper (`scrapers_lat/hkex-announcements-scraper`) Actor

Scrape Hong Kong Stock Exchange (HKEXnews) listed-company announcements and regulatory filings. Get stock code, company name, document title, category, publication date, file type and a direct link to the official document. Filter by keyword, stock code or date range. Export to JSON, CSV or Excel.

- **URL**: https://apify.com/scrapers\_lat/hkex-announcements-scraper.md
- **Developed by:** [Scrapers Lat](https://apify.com/scrapers_lat) (community)
- **Categories:** News, Developer tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $12.75 / 1,000 results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

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

## HKEX Listed Company Announcements & Filings Scraper

> Track every Hong Kong Stock Exchange listed-company announcement and regulatory filing. Get the stock code, company name, document title, category, publication date and a direct link to the official document. Filter by keyword, stock code or date range and export clean structured data for research, compliance and monitoring.

![Apify](https://img.shields.io/badge/Platform-Apify-1CE1CE?logo=apify\&logoColor=white)
![Filings](https://img.shields.io/badge/Data-Company%20filings-blue)
![Output](https://img.shields.io/badge/Output-JSON%20%7C%20CSV%20%7C%20Excel-orange)

<table><tr>
<td align="center"><strong>Stock code & company</strong><br>for every filing</td>
<td align="center"><strong>Title, category & date</strong><br>plus direct document link</td>
<td align="center"><strong>JSON / CSV / Excel</strong><br>output formats</td>
</tr></table>

<br>

### Who is it for

| Use case | Who benefits |
|---|---|
| KYB and due diligence | Analysts screening Hong Kong issuers before deals |
| Compliance monitoring | Teams tracking disclosures from companies they follow |
| Investment research | Investors watching results, dividends and material events |
| Data and alerts | Builders feeding filings into their own apps and alerts |

### How to use it

1. Optionally add a **title keyword** (for example `interim report`, `profit warning`, `connected transaction`).
2. Optionally set a **stock code** to follow one company, or a **from / to date** range.
3. Set **Max Items** and run. Export as JSON, CSV or Excel, or pull it through the Apify API.

### Frequently Asked Questions

**Can I follow just one company?**
Yes. Enter its Hong Kong stock code (for example `00700` or `700`) to keep only that issuer's filings.

**Can I filter by document type?**
Yes. Use a title keyword such as `annual report`, `dividend` or `change of directors` to keep only matching announcements.

**Do I get a link to the actual document?**
Yes. Each record includes a direct link to the official published document (usually a PDF).

**How fresh is the data?**
Announcements are read live at run time, so each record reflects what was published at the moment of the run (see observedAt).

### Export, API and AI agents (x402 + MCP)

Export the scraped data to **JSON, CSV or Excel**, pull it as a **dataset** through the Apify **API**, or wire it into your app with **no code**. This web scraper and data extractor also works for bulk data extraction and scheduled runs.

For AI agents: this Actor is available on **x402**, Apify's agentic payment standard built with Coinbase. An AI agent can discover, pay for and run it on its own with a funded wallet and a single HTTP request: no account, no subscription, no API key and no human in the loop. It also runs as an **MCP** tool inside Claude, Cursor and other AI clients out of the box. Learn more about [x402 agentic payments on Apify](https://docs.apify.com/platform/integrations/x402).

### Related scrapers

- [Yahoo Finance Scraper](https://apify.com/scrapers_lat/yahoo-finance-scraper)
- [Polymarket Prediction Markets & Odds Scraper](https://apify.com/scrapers_lat/polymarket-markets-scraper)
- [Google News Scraper](https://apify.com/scrapers_lat/google-news-scraper)

### More scrapers at scrapers.lat

This actor is built and maintained by [scrapers.lat](https://scrapers.lat), where we publish scrapers for public platforms: finance, news, real estate, jobs, e-commerce and government data. Browse the full catalog or ask us for a custom scraper at [scrapers.lat](https://scrapers.lat).

***

> This actor is an independent tool and has no affiliation with Hong Kong Exchanges and Clearing Limited or HKEXnews. It only accesses publicly available filing data. Use the results in accordance with the source's terms.

# Actor input Schema

## `maxAnnouncements` (type: `integer`):

Maximum number of announcements to collect. Optional.

## `searchText` (type: `string`):

Optional. Only return announcements whose title contains this text (for example 'interim report', 'connected transaction', 'profit warning', 'dividend').

## `stockCode` (type: `string`):

Optional. Only return filings from one listed company, by its HKEX stock code (for example '00700' or '700').

## `market` (type: `string`):

Which market to search.

## `fromDate` (type: `string`):

Optional. Earliest publication date, format YYYYMMDD (for example '20260101').

## `toDate` (type: `string`):

Optional. Latest publication date, format YYYYMMDD (for example '20261231').

## Actor input object example

```json
{
  "maxAnnouncements": 50,
  "searchText": "interim report",
  "market": "SEHK"
}
```

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

// Prepare Actor input
const input = {
    "maxAnnouncements": 50,
    "searchText": "interim report"
};

// Run the Actor and wait for it to finish
const run = await client.actor("scrapers_lat/hkex-announcements-scraper").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 = {
    "maxAnnouncements": 50,
    "searchText": "interim report",
}

# Run the Actor and wait for it to finish
run = client.actor("scrapers_lat/hkex-announcements-scraper").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 '{
  "maxAnnouncements": 50,
  "searchText": "interim report"
}' |
apify call scrapers_lat/hkex-announcements-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=scrapers_lat/hkex-announcements-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/oh7aXWoOeghxnoOWD/builds/2kKFW8atwEJM7G0Ix/openapi.json
