# Google News Search Scraper (`data_dino/googlenews`) Actor

💰 $1.00 per 1000 results❗ Search Google News across multiple keywords and date ranges, and receive clean structured article records with source, publication, language, and region details.

- **URL**: https://apify.com/data\_dino/googlenews.md
- **Developed by:** [Data Dino](https://apify.com/data_dino) (community)
- **Categories:** News, SEO tools, Automation
- **Stats:** 3 total users, 2 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$1.00 / 1,000 results

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?

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 Search Scraper

Collect structured Google News articles for multiple search queries over a selected date range. Each dataset item includes the query, title, link, publication date, source, language, and region.

Provide one or more queries, an inclusive start date, and an exclusive end date. Language and region default to English and the United States.

### Pricing

**$1.00 per 1,000 results.**

# Actor input Schema

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

News search terms. Each term is searched independently.

## `startDate` (type: `string`):

Inclusive start date in YYYY-MM-DD format.

## `endDate` (type: `string`):

Exclusive end date in YYYY-MM-DD format.

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

Google News language code, such as en.

## `region` (type: `string`):

Google News region code, such as US.

## `maxItems` (type: `integer`):

Maximum number of unique article records to return across all queries.

## `delay` (type: `number`):

Delay in seconds between feed requests.

## Actor input object example

```json
{
  "queries": [
    "artificial intelligence"
  ],
  "startDate": "2026-08-01",
  "endDate": "2026-08-03",
  "language": "en",
  "region": "US",
  "maxItems": 10,
  "delay": 0.6
}
```

# Actor output Schema

## `dataset` (type: `string`):

Structured Google News article records collected during the run.

# 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"
    ],
    "startDate": "2026-08-01",
    "endDate": "2026-08-03",
    "language": "en",
    "region": "US",
    "maxItems": 10,
    "delay": 0.6
};

// Run the Actor and wait for it to finish
const run = await client.actor("data_dino/googlenews").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"],
    "startDate": "2026-08-01",
    "endDate": "2026-08-03",
    "language": "en",
    "region": "US",
    "maxItems": 10,
    "delay": 0.6,
}

# Run the Actor and wait for it to finish
run = client.actor("data_dino/googlenews").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"
  ],
  "startDate": "2026-08-01",
  "endDate": "2026-08-03",
  "language": "en",
  "region": "US",
  "maxItems": 10,
  "delay": 0.6
}' |
apify call data_dino/googlenews --silent --output-dataset

```

## MCP server setup

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

```

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/ugGZ9G4pB7x2rcGtM/builds/ZwnlsjagYYudbc0e3/openapi.json