# Tech News Aggregator (`gochujang/tech-news-aggregator`) Actor

Aggregate tech news from TechCrunch, The Verge, Ars Technica, Wired, Engadget, and Hacker News in one place. Supports keyword and category filtering, date range, and deduplication. Returns title, source, author, URL, published date, and summary.

- **URL**: https://apify.com/gochujang/tech-news-aggregator.md
- **Developed by:** [Hojun Lee](https://apify.com/gochujang) (community)
- **Categories:** News
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.00 / 1,000 item processeds

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

## Tech News Aggregator

**Tech News Aggregator** collects articles from **TechCrunch, The Verge, Ars Technica, Wired, Engadget, and Hacker News** in parallel — returning title, source, author, URL, publish time, and 500-char summary. Filter by keyword, source, and date. Deduplication included. No API key required. $0.001/article.

Six of the highest-signal tech news sources in one API call. Whether you're building a news dashboard, tracking a specific topic across the industry, or running automated competitive intelligence, this actor gives you a clean, normalized feed without RSS parsers or per-site scrapers.

***

### Why use Tech News Aggregator?

1. **Topic monitoring across the industry** — Set `keyword: "AI"` or `"regulation"` and get instant coverage from all six outlets simultaneously. Identify when a story crosses from niche to mainstream.
2. **Competitive intelligence** — Set `keyword: "<competitor name>"` to track when your competitors get press. High coverage frequency signals important product moves.
3. **Newsletter and content curation** — Pull `since` yesterday's articles and select the top-performing ones by engagement for a weekly roundup or Slack digest.
4. **Research and analysis** — Collect historical articles on a topic using `since` date ranges. Build structured datasets for sentiment analysis or trend research.
5. **Hacker News signal extraction** — HN frontpage items are community-curated, high-signal tech stories that mainstream outlets often pick up 24–48h later. Use it as an early warning system.

***

### How to use

1. Open the actor on Apify Store and click **Try for free**.
2. Set `sources` to the outlets you want (or leave blank for all 6).
3. Set `keyword` to filter by topic.
4. Set `since` to limit to recent articles (e.g. `"2026-09-01"`).
5. Click **Start**. Returns deduplicated, sorted articles newest-first.

***

### Input

| Field | Type | Default | Description |
|-------|------|---------|-------------|
| `sources` | string\[] | all 6 | Sources to include (see table below) |
| `keyword` | string | — | Filter by keyword in title or summary (case-insensitive) |
| `maxResults` | integer | `100` | Maximum articles to return (1–500) |
| `since` | string | — | Only return articles after this ISO date (e.g. `"2026-09-01"`) |

#### Supported sources

| Source | Coverage |
|--------|----------|
| `TechCrunch` | Startups, venture, enterprise tech |
| `The Verge` | Consumer tech, gadgets, Big Tech |
| `Ars Technica` | Deep-dive tech and science |
| `Wired` | Culture, policy, AI, future trends |
| `Engadget` | Consumer electronics, reviews |
| `Hacker News` | Community-curated frontpage (high signal) |

***

### Output

```json
{
  "source": "TechCrunch",
  "title": "OpenAI launches new model with extended reasoning",
  "url": "https://techcrunch.com/2026/09/01/openai-new-model/",
  "author": "Jane Doe",
  "published_at": "2026-09-01T14:30:00+00:00",
  "summary": "OpenAI today announced a new model that significantly improves reasoning capabilities across math, code, and complex analysis tasks..."
}
```

#### Output fields

| Field | Type | Description |
|-------|------|-------------|
| `source` | string | Publication name |
| `title` | string | Article headline |
| `url` | string | Direct article link |
| `author` | string | Author name (if available in feed) |
| `published_at` | string | ISO 8601 UTC publish time |
| `summary` | string | First 500 chars of description (HTML stripped) |

Articles are returned sorted by `published_at` descending (newest first).

***

### Cost estimation

**Pay-Per-Event: $0.001 per article returned.**

| Use case | Articles | Estimated cost |
|----------|----------|----------------|
| 100 articles from all sources | 100 | $0.10/run |
| Daily topic monitoring (50 articles) | 50 | $0.05/day |
| 500-article deep archive | 500 | $0.50/run |
| Hourly keyword alert (20 articles) | 20 | $0.02/run |

***

### FAQ

**Is there deduplication across sources?**
Yes — articles are deduplicated by URL before output. The same story won't appear twice even if multiple feeds carry it.

**How current is the data?**
All six sources serve public RSS/Atom feeds. Most update within minutes of publication. Run the actor with `since` set to yesterday to get only new articles since your last run.

**Does Hacker News work differently from the others?**
HN uses a community RSS feed (`hnrss.org/frontpage`) that reflects the current HN frontpage — high-signal, community-curated stories. The `author` field for HN reflects the submitter's username, not the original article author.

**Can I add more sources?**
Not in the current version. The 6 sources cover the core tech news ecosystem. For crypto-specific news, see the Crypto News Sentiment Analyzer.

***

### RSS Sources

| Source | Feed |
|--------|------|
| TechCrunch | https://techcrunch.com/feed/ |
| The Verge | https://www.theverge.com/rss/index.xml |
| Ars Technica | https://feeds.arstechnica.com/arstechnica/index |
| Wired | https://www.wired.com/feed/rss |
| Engadget | https://www.engadget.com/rss.xml |
| Hacker News | https://hnrss.org/frontpage |

***

### Related actors

- [Crypto News Sentiment Analyzer](https://apify.com/gochujang/crypto-news-sentiment) — AI-scored sentiment for 5 crypto news outlets
- [Startup Funding Tracker](https://apify.com/gochujang/startup-funding-tracker) — Funding rounds from TechCrunch + HN to complement tech news
- [Substack Posts Tracker](https://apify.com/gochujang/substack-posts-tracker) — Long-form analysis from independent writers alongside mainstream news

### Feedback

If this actor helps your research, a quick review helps others find it: [Leave a review on Apify Store](https://apify.com/gochujang/tech-news-aggregator#reviews)

***

**Keywords:** tech news, TechCrunch, The Verge, Ars Technica, Wired, Engadget, Hacker News, news aggregator, technology news, keyword filter, content scraper, media monitoring

# Actor input Schema

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

News sources to include. Options: TechCrunch, The Verge, Ars Technica, Wired, Engadget, Hacker News. Leave empty for all.

## `keyword` (type: `string`):

Filter articles by keyword in title or summary (case-insensitive)

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

Maximum total articles to return

## `since` (type: `string`):

Only return articles published after this ISO date (e.g. 2024-01-01)

## Actor input object example

```json
{
  "maxResults": 100
}
```

# 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("gochujang/tech-news-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("gochujang/tech-news-aggregator").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 gochujang/tech-news-aggregator --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,gochujang/tech-news-aggregator"
        }
    }
}
```

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/yvEb2NvcyQ1XFU3Re/builds/ltCKLqBPStbDO7iR8/openapi.json