# Google News Scraper (`vujofix/google-news-scraper`) Actor

- **URL**: https://apify.com/vujofix/google-news-scraper.md
- **Developed by:** [Oleksii Tereshchenko](https://apify.com/vujofix) (community)
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.50 / 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/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 & Media Intelligence Monitor

> 📰 **Real-time Google News and media sentiment extraction. Monitor company PR, brand mentions, stock tickers, crypto, politics, and industry headlines with zero blocks.**

***

### 🚀 Why Use This Actor?

Media intelligence, PR sentiment analysis, and competitor monitoring are critical for businesses, traders, and AI research agents. Building a custom news scraper usually encounters rate limits, captchas, and paywalled redirects.

**Google News & Media Intelligence Monitor** taps directly into Google News's high-speed feed engine:

- ⚡ **Real-Time Breaking News**: Extracts live news articles published within the last hour, day, week, or month.
- 🎯 **Advanced Operators & Time Filters**: Filter by time range (`1h`, `1d`, `7d`, `30d`), language (`en`, `pl`, `uk`, `de`, `fr`), and regional country editions.
- 🏷️ **Clean Structured Metadata**: Extracts article headlines, publisher name, publisher website, canonical news URL, snippet, and ISO publication timestamps.
- 🛡️ **100% Reliable & Browserless**: No slow browser rendering or proxy costs. Processes 100+ articles in under 3 seconds.

***

### 🎯 Use Cases

- **Brand & PR Sentiment Tracking**: Monitor what top publications are saying about your company, brand, or executives.
- **Financial & Crypto Market Intelligence**: Feed real-time breaking news for stock tickers (e.g. `$TSLA`, `$NVDA`) or crypto tokens (`Bitcoin`, `Solana`) directly into algorithmic trading or LLM analysis pipelines.
- **Competitive Intelligence**: Track competitor press releases, product launches, and media coverage.
- **AI Content Curation**: Fuel daily AI newsletters, research digests, or social media bots with fresh industry news.

***

### 📥 Input Parameters

| Parameter | Type | Default | Description |
| :--- | :--- | :--- | :--- |
| `query` | String | `"Artificial Intelligence"` | Topic, brand, ticker, or search query (e.g. `Tesla`, `Bitcoin`, `Poland Economy`). |
| `timeRange` | String | `"any"` | Freshness filter: `any`, `1h`, `1d`, `7d`, `30d`. |
| `language` | String | `"en"` | Language code: `en`, `pl`, `uk`, `de`, `fr`, `es`, `it`. |
| `country` | String | `"US"` | Edition country: `US`, `GB`, `PL`, `UA`, `DE`, `FR`, `CA`. |
| `maxResults` | Integer | `100` | Maximum number of news articles to export (up to `500`). |

#### Example Input JSON:

```json
{
  "query": "OpenAI OR Anthropic",
  "timeRange": "1d",
  "language": "en",
  "country": "US",
  "maxResults": 100
}
```

***

### 📤 Output Dataset Format

Each item in the dataset provides clean news metadata:

```json
{
  "title": "Microsoft GitHub Launches Free AI & Data Science Courses",
  "publisher": "KDnuggets",
  "publisherUrl": "https://www.kdnuggets.com",
  "url": "https://news.google.com/rss/articles/CBMiqwF...",
  "publishedAt": "2026-09-17T14:30:00.000Z",
  "snippet": "Free AI learning paths and generative modeling courses announced by Microsoft.",
  "query": "Artificial Intelligence",
  "scrapedAt": "2026-09-17T15:35:53.923Z"
}
```

***

### 🐍 Python Integration

```python
from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")

## Run the Actor
run = client.actor("vujofix/google-news-scraper").call(run_input={
    "query": "NVIDIA AI",
    "timeRange": "1d",
    "language": "en",
    "maxResults": 50
})

## Iterate over live headlines
for article in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(f"[{article['publisher']}] {article['title']} ({article['publishedAt']})")
```

***

### 💰 Pricing

- **Pay-Per-Event**: **$2.50 / 1,000 news articles**
- Monitoring 200 daily headlines across your niche costs only **$0.50**.

***

### 🛡️ License

Apache-2.0

# Actor input Schema

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

Topic, brand, ticker, person, or keyword to monitor (e.g. 'OpenAI', 'Bitcoin', 'Tesla', 'Poland', 'SaaS').

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

Language of the news articles.

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

Regional edition of Google News.

## `timeRange` (type: `string`):

Filter articles by freshness.

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

Maximum number of news articles to extract.

## Actor input object example

```json
{
  "query": "Artificial Intelligence",
  "language": "en",
  "country": "US",
  "timeRange": "any",
  "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("vujofix/google-news-scraper").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("vujofix/google-news-scraper").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 vujofix/google-news-scraper --silent --output-dataset

```

## MCP server setup

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

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/U0dZBzaa1fddxGeV2/builds/up9lfvk3dxOvixGOx/openapi.json