# Google News Scraper (No Login) (`scrapemint/google-news-scraper`) Actor

Scrape Google News for any topic. One row per article with headline, source, link, and publish date. Filter by language, country, and recency window. No login, no API key. Pay per row.

- **URL**: https://apify.com/scrapemint/google-news-scraper.md
- **Developed by:** [Ken M](https://apify.com/scrapemint) (community)
- **Categories:** Business, Marketing, News
- **Features:** Limited permissions
- **Stats:** 1 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$3.00 / 1,000 article rows

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 (No Login)

Track any topic, brand, ticker, or person on Google News and get one clean row per article. No login, no API key, no browser. Give it search terms, the Actor returns the matching headlines with source and publish date.

### What you get

One row per article, with:

- `title` (headline, with the trailing source removed)
- `source`, `sourceUrl`
- `url` (link to the article)
- `publishedAt`, `publishedAtIso`
- `guid`, `query`, `language`, `country`, `scrapedAt`

### Input

- `queries` (one or more terms; each runs as its own feed, up to ~100 articles)
- `language` (e.g. `en-US`, `en-GB`, `es-ES`, `fr-FR`, `de-DE`)
- `country` (e.g. `US`, `GB`, `CA`, `AU`, `IN`, `DE`)
- `when` (optional recency window, e.g. `1h`, `12h`, `1d`, `7d`)
- `maxPerQuery`, `maxArticles`

### Example input

```json
{
  "queries": ["tesla", "openai"],
  "language": "en-US",
  "country": "US",
  "when": "7d",
  "maxArticles": 200
}
```

Monitor a brand in the UK over the last day:

```json
{
  "queries": ["my brand name"],
  "language": "en-GB",
  "country": "GB",
  "when": "1d"
}
```

### Uses

- Brand and competitor monitoring
- PR and media tracking
- Market and ticker news for finance workflows
- Feeding a news dashboard or alert

### Pricing

Pay per row. The first 5 rows of every run are free so you can validate output before you scale up. You only pay for the articles you keep.

### Notes

- Data comes from Google News public RSS feeds, so coverage matches Google News.
- Proxy is off by default because the feeds are a tolerant public source; supply a proxy only if you run very large pulls and hit rate limits.
- This Actor reads only public data and never logs in.

# Actor input Schema

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

One or more topics, brands, tickers, or people to search Google News for. Each runs as its own feed (up to ~100 articles).

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

Google News language code, e.g. en-US, en-GB, es-ES, fr-FR, de-DE.

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

Two letter country code, e.g. US, GB, CA, AU, IN, DE.

## `when` (type: `string`):

Optional. Only return articles from the last N hours or days, e.g. 1h, 12h, 1d, 7d. Leave empty for the default feed.

## `maxPerQuery` (type: `integer`):

Cap on articles returned per search term (Google News serves up to about 100).

## `maxArticles` (type: `integer`):

Maximum number of article rows to return across all queries. First 25 rows per run are free.

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

Optional. The RSS feeds are a tolerant public source, so proxy is off by default. Supply one only if you run very large pulls and hit rate limits.

## Actor input object example

```json
{
  "queries": [
    "tesla"
  ],
  "language": "en-US",
  "country": "US",
  "maxPerQuery": 100,
  "maxArticles": 200
}
```

# 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": [
        "tesla"
    ],
    "language": "en-US",
    "country": "US",
    "maxPerQuery": 100,
    "maxArticles": 200
};

// Run the Actor and wait for it to finish
const run = await client.actor("scrapemint/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": ["tesla"],
    "language": "en-US",
    "country": "US",
    "maxPerQuery": 100,
    "maxArticles": 200,
}

# Run the Actor and wait for it to finish
run = client.actor("scrapemint/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": [
    "tesla"
  ],
  "language": "en-US",
  "country": "US",
  "maxPerQuery": 100,
  "maxArticles": 200
}' |
apify call scrapemint/google-news-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,scrapemint/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/wVOOhgFj70tsphGe6/builds/HR3WIqPTc6nL1n7Wp/openapi.json