# Google News Intelligence & Fast Topic Radar (`lepone31/google-news-intelligence`) Actor

Scrape breaking news, corporate press releases, media mentions, and keyword topics from Google News in under 1 second. Clean AI-ready JSON.

- **URL**: https://apify.com/lepone31/google-news-intelligence.md
- **Developed by:** [Cedric poma](https://apify.com/lepone31) (community)
- **Categories:** AI, Business, Automation
- **Security:** Limited permissions
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$1.50 / 1,000 news article extracteds

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

## 📰 Google News Intelligence & Fast Topic Radar

[![Apify](https://img.shields.io/badge/Apify-Actor-00A65A?style=flat\&logo=apify\&logoColor=white)](https://apify.com/Lepone31/google-news-intelligence)
[![Pay-Per-Event](https://img.shields.io/badge/Monetization-Pay--Per--Event-blue)](https://apify.com/Lepone31/google-news-intelligence)
[![Speed](https://img.shields.io/badge/Speed-%3C%201s-orange)](https://apify.com)

Extract breaking news headlines, press releases, media mentions, and competitive intelligence from **Google News** in **under 1 second**. Designed with **zero headless browsers**, **pure HTTP architecture**, and **AI-ready Markdown context** for LLMs (n8n, Make, LangChain).

***

### ⚡ Why choose this Google News Actor?

- **⚡ Ultra-Fast Execution (< 1s):** Fetches official Google News feeds directly. No bloated browser rendering (Puppeteer/Playwright) that eats minutes and dollars.
- **💰 Zero Proxy Costs (0 € Operating Expense):** Optimized to run on standard Apify datacenter compute without requiring expensive residential proxy bandwidth.
- **🌍 Global Multilingual Coverage:** Supports any query, language code (`en`, `fr`, `de`, `es`, `it`, etc.), and country edition (`US`, `FR`, `GB`, `DE`, `CA`, etc.).
- **🤖 AI & RAG Ready:** Every extracted article includes an `llmContext` field pre-formatted in Markdown for immediate summarization and vector database ingestion.
- **🏷️ Pay-Per-Event Pricing:** Pay only **$0.0015 per extracted article**. No expensive $30+/month subscriptions.

***

### 📥 Input Parameters

| Parameter | Type | Default | Description |
| :--- | :---: | :---: | :--- |
| `query` | `string` | `"Artificial Intelligence OR LLM"` | Search keywords, company names, or Boolean queries (`"Tesla OR Nvidia"`). |
| `topic` | `string` | `"NONE"` | Optional category topic: `BUSINESS`, `TECHNOLOGY`, `WORLD`, `NATION`, `SCIENCE`, `HEALTH`, `SPORTS`, `ENTERTAINMENT`. |
| `language` | `string` | `"en"` | Language code (e.g. `en`, `fr`, `de`, `es`). |
| `country` | `string` | `"US"` | Country code (e.g. `US`, `FR`, `GB`, `DE`). |
| `maxItems` | `integer` | `50` | Maximum number of articles to extract (1 to 200). |
| `daysBack` | `integer` | `7` | Keep only articles published within the last N days (0 = disabled). |

***

### 📤 Output Format

Each article is stored with structured metadata:

```json
{
  "title": "Nvidia Tells Data Center Clients to Trim China Business, FT Says",
  "sourceName": "Bloomberg.com",
  "sourceUrl": "https://www.bloomberg.com",
  "publishedAt": "2026-11-03T05:39:00+00:00",
  "googleNewsUrl": "https://news.google.com/rss/articles/...",
  "guid": "CBMitAFBVV95cUxPbEJRRjh3WWlKcE...",
  "llmContext": "**Headline:** Nvidia Tells Data Center Clients to Trim China Business, FT Says\n**Source:** Bloomberg.com (https://www.bloomberg.com)\n**Published:** 2026-11-03\n**Link:** https://news.google.com/rss/articles/..."
}
```

***

### 🛠️ Typical Use Cases

1. **AI Newsletters & Daily Digests:** Automatically fetch daily developments around AI, crypto, or tech startups and generate digests via Claude/GPT-4.
2. **PR & Brand Reputation Monitoring:** Track negative or positive press coverage for your brand, clients, or executives in real-time.
3. **Financial & Market Intelligence:** Feed live geopolitical and earnings news into trading algorithms and sentiment dashboards.
4. **Competitor Watch:** Monitor product launches and acquisitions from rival companies.

***

### 👤 Author

Developed and maintained by **[Cedpom (Lepone31)](https://apify.com/Lepone31)**. Need custom integrations or specialized data extraction pipelines? Feel free to contact us via Apify!

# Actor input Schema

## `query` (type: `string`):

Specific search keywords, brand names, or Boolean queries (e.g. 'Tesla OR Nvidia', 'Artificial Intelligence', 'Bitcoin ETF').

## `topic` (type: `string`):

Extract top headlines from a broad topic instead of a specific query.

## `language` (type: `string`):

Language code for the news feed (e.g. 'en', 'fr', 'de', 'es', 'it').

## `country` (type: `string`):

Two-letter country code for local edition (e.g. 'US', 'FR', 'GB', 'DE', 'CA').

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

Maximum number of news articles to extract (1 to 200).

## `daysBack` (type: `integer`):

Only keep news published within the last N days (0 = no date filtering).

## Actor input object example

```json
{
  "query": "Artificial Intelligence OR LLM",
  "topic": "NONE",
  "language": "en",
  "country": "US",
  "maxItems": 50,
  "daysBack": 7
}
```

# Actor output Schema

## `overview` (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 = {
    "query": "Artificial Intelligence OR LLM",
    "language": "en",
    "country": "US"
};

// Run the Actor and wait for it to finish
const run = await client.actor("lepone31/google-news-intelligence").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 = {
    "query": "Artificial Intelligence OR LLM",
    "language": "en",
    "country": "US",
}

# Run the Actor and wait for it to finish
run = client.actor("lepone31/google-news-intelligence").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 '{
  "query": "Artificial Intelligence OR LLM",
  "language": "en",
  "country": "US"
}' |
apify call lepone31/google-news-intelligence --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,lepone31/google-news-intelligence"
        }
    }
}
```

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/lHhljqeex6nLaW3Y5/builds/buwQGD05MSFsnHwgg/openapi.json