# PSE EDGE Disclosures — Philippine Market API (`nexgendata/pse-edge-disclosures`) Actor

Monitor Philippine Stock Exchange (PSE EDGE) disclosures. Clean JSON for analysts, researchers and AI agents.

- **URL**: https://apify.com/nexgendata/pse-edge-disclosures.md
- **Developed by:** [NexGenData](https://apify.com/nexgendata) (community)
- **Categories:** Business
- **Stats:** 3 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $50.00 / 1,000 disclosures

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

## PSE EDGE Disclosures

Monitor Philippine Stock Exchange (PSE EDGE) disclosures. Built for analysts, researchers, fintech builders and AI agents.

Factual public data — not financial or investment advice.

### 📊 What you get

Clean JSON, one record per disclosure (full output has 11 fields):

- `company_name` — Company name
- `description` — Description
- `disclosure_date` — Disclosure date
- `disclosure_id` — Disclosure id
- `disclosure_time` — Disclosure time
- `file_url` — File url
- `scraped_at` — Fetch timestamp
- `source_url` — Source url
- `template_name` — Template name
- `ticker` — Ticker

**Pricing:** $0.05 per disclosure (Pay-Per-Event) — about **20 disclosures 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 Philippine Stock Exchange (PSE EDGE) disclosures on demand.

**Sample agent prompt:**

```
Monitor new PSE EDGE disclosures for a listed company and summarize them.
```

**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
}
```

### 🔗 Related APAC actors

**Country data suite:** [India MCA Companies](https://apify.com/nexgendata/india-mca-companies), [India SEBI Filings](https://apify.com/nexgendata/india-sebi-filings-tracker), [ASX Announcements](https://apify.com/nexgendata/asx-company-announcements), [Australia ASIC Search](https://apify.com/nexgendata/australia-asic-company-search)

**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 APAC government and market sources. Factual public data — not financial or investment advice.*

# Actor input Schema

## `tickers` (type: `array`):

PSE stock symbols to filter (e.g. \['ALI', 'BPI']). Empty = all recent disclosures.

## `templateFilter` (type: `string`):

Free-text filter on disclosure template (e.g. '17-A', 'Material Event', 'Press Release').

## `lookbackDays` (type: `integer`):

How many days back to pull disclosures (max 90).

## `maxResults` (type: `integer`):

Hard cap on the number of disclosures returned per run.

## Actor input object example

```json
{
  "tickers": [],
  "lookbackDays": 7,
  "maxResults": 50
}
```

# 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 = {
    "tickers": [],
    "templateFilter": "",
    "lookbackDays": 7,
    "maxResults": 50
};

// Run the Actor and wait for it to finish
const run = await client.actor("nexgendata/pse-edge-disclosures").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 = {
    "tickers": [],
    "templateFilter": "",
    "lookbackDays": 7,
    "maxResults": 50,
}

# Run the Actor and wait for it to finish
run = client.actor("nexgendata/pse-edge-disclosures").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 '{
  "tickers": [],
  "templateFilter": "",
  "lookbackDays": 7,
  "maxResults": 50
}' |
apify call nexgendata/pse-edge-disclosures --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/O9fOd7D8hBOUgahYh/builds/aMM9Eo6auaYNYOMwB/openapi.json