# Google News Scraper (`bgfc97/google-news-scraper`) Actor

Monitor Google News: articles by keyword or topic with title, source, published date, snippet and link, for any language and country, via the official RSS feed. Reliable, no anti-bot.

- **URL**: https://apify.com/bgfc97/google-news-scraper.md
- **Developed by:** [Bruno](https://apify.com/bgfc97) (community)
- **Categories:** News
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.75 / 1,000 article scrapeds

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.

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 📰

Monitor **Google News** at scale — get articles by keyword or topic with title, source, published date, snippet, and link, for any language and country. Powered by Google's official RSS feed, so it's fast and reliable.

Perfect for media monitoring, PR/brand tracking, competitor watch, trend detection, and news alerting.

### What it does

- **Keyword monitoring** with an optional recency window (`1h`, `1d`, `7d`, …).
- **Topic feeds** (World, Business, Technology, Science, Health, …).
- Localized by language (`hl`) and country (`gl`).

### Input

```json
{
  "queries": ["OpenAI", "tesla recall"],
  "topics": ["TECHNOLOGY"],
  "timeWindow": "7d",
  "language": "en-US",
  "country": "US",
  "maxArticlesPerQuery": 100
}
```

### Output (one row per article)

```json
{
  "type": "article",
  "source_query": "q:OpenAI",
  "title": "OpenAI announces new model",
  "source": "TechCrunch",
  "published_at": "2026-07-15T09:12:00.000Z",
  "snippet": "The company revealed...",
  "google_news_url": "https://news.google.com/rss/articles/...",
  "language": "en-US",
  "country": "US"
}
```

### Notes

- Reliable and anti-bot-free — reads Google News' public RSS.
- Titles are cleaned of the trailing " - Source" suffix.
- Run on a schedule to keep a live news feed for any keyword or topic.

# Actor input Schema

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

Keywords/phrases to monitor on Google News, e.g. 'OpenAI', 'tesla recall'.

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

Optional Google News topics: WORLD, NATION, BUSINESS, TECHNOLOGY, ENTERTAINMENT, SPORTS, SCIENCE, HEALTH.

## `timeWindow` (type: `string`):

Optional recency filter for queries: 1h, 12h, 1d, 7d, 1y. Leave empty for no filter.

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

Language/locale, e.g. en-US, pt-BR, es-ES.

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

Two-letter country code, e.g. US, BR, GB.

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

Max articles per query/topic.

## `maxConcurrency` (type: `integer`):

Parallel requests.

## `proxyConfiguration` (type: `object`):

Optional Apify proxy. The account running the Actor pays for proxy usage.

## Actor input object example

```json
{
  "queries": [
    "OpenAI"
  ],
  "topics": [],
  "timeWindow": "",
  "language": "en-US",
  "country": "US",
  "maxArticlesPerQuery": 100,
  "maxConcurrency": 6,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

# 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": [
        "OpenAI"
    ],
    "topics": [],
    "proxyConfiguration": {
        "useApifyProxy": true
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("bgfc97/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": ["OpenAI"],
    "topics": [],
    "proxyConfiguration": { "useApifyProxy": True },
}

# Run the Actor and wait for it to finish
run = client.actor("bgfc97/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": [
    "OpenAI"
  ],
  "topics": [],
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}' |
apify call bgfc97/google-news-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=bgfc97/google-news-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/7ZKzRhHY8c3Ajbb5P/builds/xsBPuM3ZAHhAdu12P/openapi.json