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

Search Google News by keyword or topic. Extract article title, source, date, link, snippet. No API key. For media monitoring and news aggregation.

- **URL**: https://apify.com/blazing\_stake/google-news-scraper.md
- **Developed by:** [Mehmet Kut](https://apify.com/blazing_stake) (community)
- **Categories:** News, Developer tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$1.00 / 1,000 article scrapeds

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 Scraper

Search **Google News** by keyword or topic and extract articles at scale — title, source, publish date, link, and snippet. No API key. Perfect for media monitoring, brand tracking, and news aggregation.

### 🎯 What it does

- **Search** any keyword/phrase across Google News
- Or pull **topic feeds**: World, Nation, Business, Technology, Entertainment, Sports, Science, Health
- Returns: clean title, **source publication**, publish date, article link, snippet
- Any **language + country** edition

### 💡 Use cases

- **Brand / reputation monitoring** — track mentions of your company
- **Competitor tracking** — watch news about rivals
- **Market research** — aggregate coverage on a topic or trend
- **Content curation** — build a news digest for a niche
- **Alerting pipelines** — feed into Slack/email on schedule
- **Sentiment analysis** — collect headlines for LLM processing

### 📥 Input

| Field | Type | Description |
|-------|------|-------------|
| `queries` | array | Keywords/phrases to search |
| `topics` | array | Section feeds (TECHNOLOGY, BUSINESS…) |
| `language` | string | Language code (en, tr, de…) |
| `country` | string | Country code (US, GB, TR…) |
| `maxArticlesPerQuery` | integer | Max articles per query (≤100) |

#### Example input

```json
{
  "queries": ["Tesla", "electric vehicles"],
  "language": "en",
  "country": "US",
  "maxArticlesPerQuery": 100
}
```

### 📤 Output

```json
{
  "title": "Netflix Gears Up to Report Q2 Earnings",
  "source": "Yahoo Finance",
  "link": "https://news.google.com/...",
  "publishedAt": "Mon, 06 Jul 2026 10:00:00 GMT",
  "snippet": "...",
  "query": "Netflix stock"
}
```

### ⚡ Performance

Uses Google News RSS directly — no browser, no API key, no quota. Hundreds of articles in seconds.

### 🔗 Tip

Run it on a schedule (Apify Scheduler) to build a continuous news-monitoring pipeline for your brand or topic.

# Actor input Schema

## `queries` (type: `array`):

Keywords or phrases to search Google News for (e.g. a brand, company, topic).

## `topics` (type: `array`):

Section feeds instead of search: WORLD, NATION, BUSINESS, TECHNOLOGY, ENTERTAINMENT, SPORTS, SCIENCE, HEALTH.

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

Two-letter language code (en, tr, de, fr…).

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

Two-letter country code (US, GB, TR, DE…).

## `maxArticlesPerQuery` (type: `integer`):

Maximum number of articles to fetch per query/topic (Google News returns up to ~100).

## Actor input object example

```json
{
  "queries": [
    "Tesla",
    "climate change",
    "your brand name"
  ],
  "topics": [
    "TECHNOLOGY",
    "BUSINESS"
  ],
  "language": "en",
  "country": "US",
  "maxArticlesPerQuery": 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 = {
    "queries": [
        "artificial intelligence"
    ]
};

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

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

```

## MCP server setup

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

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/R6U4yHIBufGXtcLSx/builds/XaDwbS5apXUrrTk7l/openapi.json