# Irish DPC Regulatory Publication News (`vixendata/irish-dpc-regulatory-publication-news`) Actor

Irish DPC Regulatory Publication News with typed dates, bounded discovery and attribution.

- **URL**: https://apify.com/vixendata/irish-dpc-regulatory-publication-news.md
- **Developed by:** [Vixendata](https://apify.com/vixendata) (community)
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.00 / 1,000 recognized consultation/publication/alert metadata 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/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

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 examples already wired to this Actor's own input schema, see the [API](#api) section below.

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`).

# README

## Irish DPC Regulatory Publication News

Turn the Irish Data Protection Commission's news index into dated, attributable metadata for privacy research desks and regulatory-publication trackers. This narrow Actor discovers report, guidance, consultation, strategy and safeguards announcements. It excludes enforcement/inquiry/decision/fine/prosecution/breach/complaint titles and never extracts article bodies, case facts or affected-person details.

### Output and scope

One row per eligible canonical announcement: nodeId, title, url, indexDate/indexDateRaw, sourceCategory, listingUrl, retrieval timestamp and licence/attribution. publicationDate is deliberately null: a news-index date does not establish the underlying publication's date. documentUrls is empty because detail/document enrichment is outside this MVP. Categories are the source's "Latest news", not inferred legal topics. Filtered pages can legitimately yield zero rows.

Source: https://www.dataprotection.ie/en/news-media/latest-news

maxItems defaults to 10 (1–20). maxPages defaults to 1 (1–3). Pagination follows only next-page links visibly published in the official index, with its zero-based ?page=N query, after robots permission. No user URLs. No full-history promise, all-decisions coverage, fines database or legal advice. Keyword eligibility is intentionally conservative and can miss useful announcements.

### Reuse and provenance

https://www.dataprotection.ie/en/who-we-are/corporate-governance/re-use-public-sector-information permits website information reuse under the latest applicable Irish PSI licence and DPC conditions: acknowledge DPC source and copyright, reproduce accurately, avoid misleading context, unlawful/dishonest purposes and use principally for advertising/product promotion. Excludes third-party material and logos. Every row includes source URL, date, attribution and this policy URL. No endorsement. The service extracts metadata; it does not sell access to the original source.

### Why this catalogue

Paid Data Protection Ireland journal covers DPC guidance/consultation developments: https://www.pdp.ie/journals/overview-data-protection-ireland and https://www.pdp.ie/journals/images/stories/back_issues/data-protection-ireland-11-3.pdf . This is professional workflow evidence, not proven Actor sales. Research on 6 October 2026 found no dedicated Actor in bounded Apify Store searches for dataprotection.ie, Irish DPC and Data Protection Commission Ireland. Generic government-document monitors and https://apify.com/promptica/gdpr-fines-tracker are alternatives; the latter focuses on cross-EU fines rather than this publication-news index. Store searches are not exhaustive.

### Conservative operation

Serial ordinary HTTPS using the runtime's standard network egress; no configured Apify proxies, rotation or bypass. Exact official host and validated paths/query shape. Robots fetched before content; longest-match allow/disallow and crawl delay respected, minimum two seconds. Stop on denied robots, 403/429, redirects, challenges, HTTP errors or layout change; no retry or alternate endpoint. Limits: 32 requests, 2 MB per response, 8 MB total, 480 seconds, 20 emitted rows, 3 index pages. No document downloads. RUN_REPORT records counts, bounded coverage, stop reason and errors. An error fails the run; previously emitted rows may be partial.

### Run and verify

Python 3.12; install requirements.txt, then run python main.py. Apify SDK 4.0.2 and BeautifulSoup 4.14.3 are pinned. Dockerfile uses Apify's Python image. Run python -m unittest discover -s tests -v for portable real-fixture, schema, date, eligibility, URL, robots, denial, redirect and cap tests. Fixtures were obtained from the official source on 6 October 2026. See VALIDATION.md for the actual SDK smoke result.

The 480-second elapsed-time budget is checked between reads and requests. An active socket read can overshoot that budget by up to its 25-second timeout; this is not a hard process-kill deadline.

# Actor input Schema

## `maxItems` (type: `integer`):

Maximum emitted news metadata rows. Limited by eligible cards in requested pages.

## `maxPages` (type: `integer`):

Maximum sequential pages reached through visible official pagination links; one page by default.

## Actor input object example

```json
{
  "maxItems": 10,
  "maxPages": 1
}
```

# 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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("vixendata/irish-dpc-regulatory-publication-news").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 = {}

# Run the Actor and wait for it to finish
run = client.actor("vixendata/irish-dpc-regulatory-publication-news").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).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 vixendata/irish-dpc-regulatory-publication-news --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,vixendata/irish-dpc-regulatory-publication-news"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/94TebmY0IZ3hl3VK7/builds/BbWCvScSZD3U4PqVI/openapi.json