# 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
- **Features:** Limited permissions
- **Stats:** 3 total users, 2 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/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 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(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 '{
  "queries": [
    "artificial intelligence"
  ]
}' |
apify call blazing_stake/google-news-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,blazing_stake/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/R6U4yHIBufGXtcLSx/builds/XaDwbS5apXUrrTk7l/openapi.json