# Google News Scraper — Any Country, Topics & Search (`fjordlabs/google-news`) Actor

Scrape Google News headlines by keyword, topic or top stories for any country and language. Publisher, date, related coverage and optional original article URLs. Cheap, fast, no browser.

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

## Pricing

from $1.50 / 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 Scraper — Any Country, Topics & Search

Collect **Google News** headlines at scale: search by keyword, follow topic sections, or grab top stories, in **any country and language edition**. Fast and cheap, with no browser.

### What you get per article

- 📰 **Title, publisher, publisher website, publish time (UTC)**
- 🔗 **Google News link**, plus the **original article URL** (optional `resolveUrls`)
- 🧩 **Related coverage:** headlines from other outlets covering the same story
- 🏷️ Which query, topic and edition found it

### Features

- **Search operators:** `"exact phrase"`, `OR`, `-exclude`, `site:reuters.com`
- **Time filters:** past hour, day, week, month or year, or exact from/to dates
- **Topics:** World, Business, Technology, Science, Health, Sports, Entertainment, Nation
- **Multi-country in one run:** `US:en`, `GB:en`, `DK:da`, `DE:de`, `FR:fr`, `IN:en`…
- **De-duplication** across queries and editions

### Input example

```json
{
  "queries": ["\"heat pump\" subsidy", "site:reuters.com electric vehicles"],
  "topics": ["TECHNOLOGY"],
  "editions": ["US:en", "GB:en", "DE:de"],
  "timeRange": "past_7_days",
  "resolveUrls": true
}
```

### Output example

```json
{
  "title": "Heat pump sales surge as subsidies expand",
  "publisher": "Example Times",
  "publisherUrl": "https://example.com",
  "publishedAt": "2026-10-16T17:30:00+00:00",
  "url": "https://example.com/2026/10/heat-pumps",
  "googleNewsUrl": "https://news.google.com/rss/articles/CBMi...",
  "relatedHeadlines": ["Heat pumps outsell gas boilers for the first time"],
  "feedType": "search", "query": "\"heat pump\" subsidy", "topic": null, "edition": "US:en"
}
```

### Pricing

| Event | Price |
|---|---|
| Actor start | $0.00005 |
| Article | **$0.0015** ($1.50 per 1,000) |

### Use cases

Media monitoring and brand mentions · PR and competitor tracking · market and investment research · feeding news to LLMs and AI agents (works via the Apify MCP server) · daily news digests on a schedule.

Google News shows up to about 100 articles per query and edition. For more, split broad queries into narrower ones or use date ranges.

# Actor input Schema

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

Keywords to search, using Google News search syntax (quotes, OR, -exclude, site:example.com).

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

Google News topic sections to include.

## `topStories` (type: `boolean`):

Include the edition's top stories feed.

## `editions` (type: `array`):

Google News editions, e.g. US:en, GB:en, DK:da, DE:de, FR:fr, IN:en.

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

Limit search results to a recent period.

## `fromDate` (type: `string`):

YYYY-MM-DD. Overrides time range.

## `toDate` (type: `string`):

YYYY-MM-DD.

## `maxArticlesPerFeed` (type: `integer`):

Google returns up to about 100 per feed.

## `deduplicate` (type: `boolean`):

Skip articles already returned by another query, topic or edition in this run.

## `resolveUrls` (type: `boolean`):

Decode Google News links into the publisher's own URL (slower). Falls back to the Google link if decoding fails.

## Actor input object example

```json
{
  "queries": [
    "artificial intelligence"
  ],
  "topStories": false,
  "editions": [
    "US:en"
  ],
  "maxArticlesPerFeed": 100,
  "deduplicate": true,
  "resolveUrls": false
}
```

# Actor output Schema

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

No description

## `summary` (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"
    ],
    "editions": [
        "US:en"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("fjordlabs/google-news").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"],
    "editions": ["US:en"],
}

# Run the Actor and wait for it to finish
run = client.actor("fjordlabs/google-news").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"
  ],
  "editions": [
    "US:en"
  ]
}' |
apify call fjordlabs/google-news --silent --output-dataset

```

## MCP server setup

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

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/atF4R1KP5h9Y9Mg1Z/builds/if3majH6aK4l1xv5Y/openapi.json