# Google News Scraper API 💰$1/1k articles (`flyingnimbus/google-news-intelligence-scraper`) Actor

Search Google News by query, country and language: headlines, sources, publication dates and article links as JSON. No browser needed. Pay per article.

- **URL**: https://apify.com/flyingnimbus/google-news-intelligence-scraper.md
- **Developed by:** [Rakshit Solanki](https://apify.com/flyingnimbus) (community)
- **Categories:** News, SEO tools, Marketing
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$1.00 / 1,000 articles

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 Real-Time Search & Headlines Scraper

Fast, complete, and real-time Google News article and headlines scraper. Tracks breaking news, industry trends, company announcements, and topic feeds worldwide.

***

### ⚡ Key Features

- **Real-Time News**: Scrapes live headlines as stories break.
- **Global Coverage**: Supports any country/language edition (`US`, `GB`, `CA`, `DE`, `FR`, etc.).
- **Rich Output**: Headline, direct article link, publication time, news publisher source, and summary.
- **Zero Overhead**: Operates asynchronously with near-zero latency and minimal compute cost.

***

### 📥 Input Example

```json
{
  "queries": [
    "artificial intelligence",
    "quantum computing startups"
  ],
  "country": "US",
  "language": "en",
  "maxResultsPerQuery": 50
}
```

***

### 📤 Output Example

```json
{
  "title": "Prediction: This AI Chip Stock Will Make a Big Move in October",
  "link": "https://news.google.com/rss/articles/CBMi...",
  "publishedAt": "Fri, 02 Oct 2026 19:58:00 GMT",
  "source": "Motley Fool",
  "sourceUrl": "https://www.fool.com",
  "query": "artificial intelligence",
  "country": "US",
  "language": "en"
}
```

### Pricing

Pay per event: **$0.001 per article** ($1 per 1,000). You only pay for results delivered. Platform compute is included, so there are no extra usage charges. Set a maximum budget on the run to cap spend.

### How to use it

1. Open the Input tab and fill in the fields (the prefilled example works as is).
2. Click Start and wait for the run to finish.
3. Download the dataset as JSON, CSV or Excel, or read it through the Apify API.

You can schedule runs, call the actor from the API, or connect it to Make, Zapier, n8n or an AI agent through MCP.

### FAQ

**Is the data live?** Yes. Each run fetches fresh data at the time you run it.

**What happens when nothing is found?** The run finishes without charging for empty results.

**Can I use this in an AI agent?** Yes. It runs with limited permissions and returns structured JSON, so agents can call it through the Apify MCP server.

**Is it legal?** The actor collects publicly available information. You are responsible for using the data in line with the source's terms and applicable law, including privacy rules. Do not use it to collect personal data without a lawful basis.

**Something broke or you need a field added?** Open an issue on the Issues tab. Reports are read and fixed quickly.

# Actor input Schema

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

List of news topics, keywords, or company names to search.

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

2-letter country edition (e.g. US, GB, CA, IN, DE).

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

Language code (e.g. en, fr, de, es).

## `maxResultsPerQuery` (type: `integer`):

Maximum number of news articles to extract per query.

## Actor input object example

```json
{
  "queries": [
    "artificial intelligence",
    "tech startups"
  ],
  "country": "US",
  "language": "en",
  "maxResultsPerQuery": 50
}
```

# Actor output Schema

## `results` (type: `string`):

One row per news article.

## `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 = {
    "queries": [
        "artificial intelligence",
        "tech startups"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("flyingnimbus/google-news-intelligence-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",
        "tech startups",
    ] }

# Run the Actor and wait for it to finish
run = client.actor("flyingnimbus/google-news-intelligence-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",
    "tech startups"
  ]
}' |
apify call flyingnimbus/google-news-intelligence-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,flyingnimbus/google-news-intelligence-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/3FhCTyF1VaSK6nlaG/builds/rfM6PgwKOIK3nT8Xj/openapi.json