# Tech News Aggregator (`variable_nose_u5u/technews-aggregator`) Actor

Aggregate and scrape tech news articles from multiple sources (Hacker News, TechCrunch, The Verge, Ars Technica, etc.). Get article titles, URLs, points, comments, and full content in one run.

- **URL**: https://apify.com/variable\_nose\_u5u/technews-aggregator.md
- **Developed by:** [Cyril R](https://apify.com/variable_nose_u5u) (community)
- **Categories:** News, Automation, Developer tools
- **Stats:** 3 total users, 2 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.10 / 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.

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

## Tech News Aggregator

Aggregate tech news from multiple sources in one run. Supports Hacker News, TechCrunch, The Verge, Ars Technica, Engadget, Wired, and more.

### Features

- Multi-source aggregation via RSS feeds and APIs
- Hacker News via Algolia API (with points, comments, author)
- Normalize all articles to a common schema
- Filter by date range and minimum points (HN only)
- Sort by publication date (newest first)

### Input

| Field | Type | Default | Description |
|-------|------|---------|-------------|
| `sources` | array | `["hackernews","techcrunch","verge","ars-technica"]` | Sources to scrape. |
| `maxArticlesPerSource` | integer | `30` | Max articles per source. |
| `minPoints` | integer | `0` | Min points for HN stories. |
| `dateFrom` | string | `""` | ISO date filter (e.g. `2025-01-01`). |

### Available Sources

- `hackernews` - Hacker News (Algolia API)
- `techcrunch` - TechCrunch RSS
- `verge` - The Verge RSS
- `ars-technica` - Ars Technica RSS
- `engadget` - Engadget RSS
- `wired` - Wired RSS
- `the-information` - The Information RSS
- `stratechery` - Stratechery RSS

### Pricing

Pay-per-event: charged per article returned to the dataset.

# Actor input Schema

## `sources` (type: `array`):

Tech news sources to scrape. Options: hackernews, techcrunch, verge, ars-technica, engadget, wired, the-information, stratechery

## `maxArticlesPerSource` (type: `integer`):

Maximum number of articles to scrape per source.

## `minPoints` (type: `integer`):

Minimum points for Hacker News stories. Set to 0 to get all.

## `dateFrom` (type: `string`):

Only scrape articles published after this date (ISO 8601 format, e.g. 2025-01-01).

## Actor input object example

```json
{
  "sources": [
    "hackernews",
    "techcrunch",
    "verge",
    "ars-technica"
  ],
  "maxArticlesPerSource": 30,
  "minPoints": 0,
  "dateFrom": ""
}
```

# 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("variable_nose_u5u/technews-aggregator").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("variable_nose_u5u/technews-aggregator").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 '{}' |
apify call variable_nose_u5u/technews-aggregator --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=variable_nose_u5u/technews-aggregator",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/ZipponUYoRW6bETp5/builds/DvhM14Z7YlILep1MK/openapi.json