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

Search Google News by topic and export structured articles: title, source, publish date, URL and snippet. For media monitoring, PR and research.

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

## Pricing

from $2.00 / 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

## Google News Article Scraper

Search Google News for any topic and export clean, structured article data. This Apify Actor uses the free, public Google News RSS feed, so it needs no API key and no paid proxy.

It is useful for news monitoring, PR tracking, market research, competitive intelligence, and building topic-specific news feeds.

### Input

| Field | Type | Required | Default | Description |
| --- | --- | --- | --- | --- |
| `query` | string | Yes | `artificial intelligence` (prefill) | Search term or topic. |
| `language` | string | No | `en` | Google News `hl` language code. |
| `country` | string | No | `US` | Google News `gl` country code. |
| `maxItems` | integer | No | `50` | Maximum results, from 1 to 100. |

Example input:

```json
{
  "query": "artificial intelligence",
  "language": "en",
  "country": "US",
  "maxItems": 50
}
```

### Output

Each dataset item contains:

- `title` — article headline
- `link` — resolved publisher URL when Google exposes it, otherwise the Google News URL
- `googleNewsUrl` — original URL from Google News RSS
- `source` — publisher name
- `publishedAt` — publication timestamp in ISO 8601 format
- `snippet` — plain-text description with HTML removed
- `guid` — identifier supplied by the RSS feed

Example output:

```json
{
  "title": "Example AI headline",
  "link": "https://example.com/news/example-ai-headline",
  "googleNewsUrl": "https://news.google.com/rss/articles/example",
  "source": "Example News",
  "publishedAt": "2026-01-15T12:30:00.000Z",
  "snippet": "A short plain-text summary of the article.",
  "guid": "example-guid"
}
```

### Run locally

Use Node.js 20 or newer:

```bash
npm install
npm start
```

For local Apify storage, save the input as `storage/key_value_stores/default/INPUT.json` before starting the Actor. Results are written to `storage/datasets/default/`.

### Cost and data source

The Actor reads Google News RSS directly with native `fetch`. It does not use paid APIs, proxy services, or credentials. Usage of Google News and publisher content remains subject to their applicable terms.

# Actor input Schema

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

A search term or topic to find in Google News.

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

Google News language (hl) code, such as en, de, or fr.

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

Google News country (gl) code, such as US, GB, or DE.

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

Maximum number of unique news articles to return.

## Actor input object example

```json
{
  "query": "artificial intelligence",
  "language": "en",
  "country": "US",
  "maxItems": 50
}
```

# 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"
};

// Run the Actor and wait for it to finish
const run = await client.actor("technicaldost/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 = { "query": "artificial intelligence" }

# Run the Actor and wait for it to finish
run = client.actor("technicaldost/google-news-scraper").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 '{
  "query": "artificial intelligence"
}' |
apify call technicaldost/google-news-scraper --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/KKCIsnWnVcHt1WmfH/builds/5U7QYc1qtqZxklHgq/openapi.json