# Google News Scraper: Articles, Sources & Dates (`automationnation/google-news-scraper`) Actor

Scrape Google News results for any topic, company or keyword: headline, source, publish date, snippet and the article URL. Filter by time (past hour, day, week…), sort by date, any country and language. Up to 300 articles per search, $1 per 1,000.

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

## Pricing

from $0.80 / 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.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

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: Articles, Sources & Dates

**Google News Scraper is an Apify Actor that returns Google News results for any topic, company or keyword: headline, source, publish date and article URL.** It's built for code and AI agents: one JSON row per article, a clean schema and runs that finish in seconds.

#### Quick facts

- **What you get, one row per article:** `title`, `snippet`, `source`, `publishedAt`, `publishedText`, `url`, `domain`, `googleLink` and more (all fields below).
- **Any country and language:** set `country` and `language`.
- **Fast:** plain HTTP through Apify's Google SERP proxy, no browser. A search takes a few seconds.
- **Price:** $1.00 per 1,000 articles (less on paid Apify plans). Apify's free $5 monthly credit covers 5,000 articles.
- **AI agents:** connect `https://mcp.apify.com?tools=automationnation/google-news-scraper` (setup below).

### What can you do with it?

- **Brand and media monitoring:** track every article that mentions your company, product or competitors.
- **Finance and investing:** collect news on tickers and companies for research and sentiment signals.
- **PR and comms:** see which outlets cover a topic and how fast stories spread.
- **AI agents and RAG:** give an LLM fresh, dated news with sources.

### How to use it

1. Click **Try for free**.
2. Add one or more **search queries**.
3. Set the **country**, language and how many articles you want per search, plus any filters.
4. Click **Start** and download the results as JSON, CSV or Excel, or read them through the API.

#### Input example

```json
{
  "queries": [
    "apple earnings",
    "electric vehicles"
  ],
  "maxResultsPerQuery": 30,
  "country": "us",
  "language": "en",
  "time": "week",
  "sortBy": "date"
}
```

#### Output example

```json
{
  "query": "apple earnings",
  "position": 1,
  "title": "Bank of America Flags Surprising Risk to Apple Stock",
  "snippet": "The bigger threat may have little to do with iPhone sales.",
  "source": "Yahoo Finance",
  "publishedAt": "2026-09-30T12:26:36.000Z",
  "publishedText": "2 days ago",
  "url": "https://finance.yahoo.com/news/bank-america-flags-surprising-risk-123000123.html",
  "googleLink": "https://www.google.com/goto?url=CAESngEB6zswFcJX0sxvIsPZQgTyayIBHYbSYJbCexuVJgj0ua6GIVgjs6HK_J2CMXS4ar-SXqlye8PuA8W06bIZVQLWckeb-DBBk14pkodVfDsvE2eoBK1JYW-DDBuX0_GPzYwWCjCEwiSAWoV9IulOhXDeKNHpm7y4A_Jk115FjRDtNNYMaf5FfHqPHSNVg_L8zUgacfuAT42m7GHcQAYg5Q",
  "thumbnail": null,
  "clusterId": "4843399594",
  "newsId": "1cEEKolnqJDxHM",
  "domain": "finance.yahoo.com",
  "page": 1,
  "country": "us",
  "language": "en",
  "searchUrl": "https://www.google.com/search?…",
  "scrapedAt": "2026-10-05T10:12:00.000Z"
}
```

#### Output fields

| Field | Description |
|---|---|
| `query` | The search this row came from. |
| `position` | Rank in the results for this search, from 1. |
| `title` | Headline. |
| `snippet` | Summary text under the headline. |
| `source` | Publisher, e.g. Reuters. |
| `publishedAt` | Publish time (ISO), from Google's timestamp. |
| `publishedText` | Publish time as shown, e.g. 2 hours ago. |
| `url` | Article URL. |
| `domain` | Publisher domain. |
| `googleLink` | Google's redirect link to the article. |
| `thumbnail` | Thumbnail URL, when Google provides one. |
| `clusterId` | Google story cluster ID. |
| `newsId` | Google news document ID. |
| `page` | Results page it came from. |
| `country` | Google country (gl). |
| `language` | Google interface language (hl). |
| `searchUrl` | The Google search URL. |
| `scrapedAt` | When it was scraped (ISO). |

The **Run summary** (key-value store `OUTPUT`) lists each search with its status and result count.

### How much does it cost?

You pay per article saved; searches that fail are free.

| Articles | Free & Bronze plans | Silver | Gold and above |
|---|---|---|---|
| 1,000 | $1.00 | $0.90 | $0.80 |
| 10,000 | $10.00 | $9.00 | $8.00 |

Set a **maximum cost per run** in the run options; the Actor stops at your limit and keeps everything saved up to then.

### Use it with AI agents (MCP)

**Hosted:** add `https://mcp.apify.com?tools=automationnation/google-news-scraper` to Claude, ChatGPT, Cursor or another MCP client and sign in with Apify.

**Local (Claude Desktop or Cursor config):**

```json
{
  "mcpServers": {
    "google-news-scraper": {
      "command": "npx",
      "args": ["-y", "@apify/actors-mcp-server", "--tools", "automationnation/google-news-scraper"],
      "env": { "APIFY_TOKEN": "YOUR_APIFY_TOKEN" }
    }
  }
}
```

Then ask, for example: "Summarise this week's news about Apple earnings, with sources."

### Integrations and API

```bash
curl -X POST "https://api.apify.com/v2/acts/automationnation~google-news-scraper/run-sync-get-dataset-items?token=YOUR_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"queries": ["apple earnings"], "maxResultsPerQuery": 10, "country": "us"}'
```

```python
from apify_client import ApifyClient

client = ApifyClient("YOUR_TOKEN")
run = client.actor("automationnation/google-news-scraper").call(run_input={"queries": ["apple earnings"], "maxResultsPerQuery": 10})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item["title"])
```

```javascript
import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_TOKEN' });
const run = await client.actor('automationnation/google-news-scraper').call({"queries": ["apple earnings"], "maxResultsPerQuery": 10});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);
```

Schedules, webhooks, Google Sheets, Slack, n8n, Make and Zapier work through Apify's integrations.

### FAQ

**How fresh is it?**
Live Google News results at run time. Use `time` = Past hour or Past 24 hours and schedule the Actor for monitoring.

**Do I get the full article text?**
You get the headline, snippet, source, date and URL. For full text, pass the URLs to a content crawler such as Apify's Website Content Crawler.

**Which countries and languages?**
Any: set `country` and `language`, e.g. de + de for German news.

**How many articles per search?**
Up to 300 (30 pages). Google stops earlier for narrow topics.

**Is it legal to scrape Google?**
The Actor reads public Google results, like a person searching. Use the data in line with the laws and terms that apply to you.

**Why is it so fast and cheap?**
It reads Google's results pages over plain HTTP through Apify's Google SERP proxy: no browser, about a second per page.

### More Google data from AutomationNation

- **[Google Shopping Scraper](https://apify.com/automationnation/google-shopping-scraper)**: prices, stores and reviews for any product search.
- **[Google Images Scraper](https://apify.com/automationnation/google-images-scraper)**: full-size image URLs with size and source.
- **[Google Videos Scraper](https://apify.com/automationnation/google-videos-scraper)**: videos from YouTube, TikTok and more, with channel and duration.
- **[Google Jobs Scraper](https://apify.com/automationnation/google-jobs-scraper)**: job listings with salaries and apply links in 26 countries.
- **[Google Trends Scraper](https://apify.com/automationnation/google-trends-scraper)**: interest over time, related queries and trending searches.
- **[Google AI Overview Tracker](https://apify.com/automationnation/aeo-auditor)**: whether Google's AI Overviews cite your site.
- **[AI Visibility Tracker](https://apify.com/automationnation/ai-visibility-tracker)**: your brand in Google AI Overviews, Gemini and Claude answers.

Questions or a missing field? Open an issue on the **Issues** tab; fixes usually ship within a day.

# Changelog

This Actor's version history is a separate document: https://apify.com/automationnation/google-news-scraper/changelog.md

# Actor input Schema

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

What to search for on Google, one per line. Each query is one Google News search.

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

10 articles per Google page; up to 300 per search.

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

Two-letter country code for the Google results (gl), e.g. us, gb, de, fr, in, br, au, ca.

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

Google interface language (hl), e.g. en, de, es, fr, pt, ja.

## `time` (type: `string`):

Only results from this period.

## `sortBy` (type: `string`):

Google's order or newest first.

## `resolveArticleUrls` (type: `boolean`):

Turn Google's redirect links into the publisher's article URL (recommended).

## Actor input object example

```json
{
  "queries": [
    "apple earnings"
  ],
  "maxResultsPerQuery": 20,
  "country": "us",
  "language": "en",
  "time": "any",
  "sortBy": "relevance",
  "resolveArticleUrls": true
}
```

# Actor output Schema

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

One row per article.

## `allData` (type: `string`):

No description

## `summary` (type: `string`):

Per search: status, results and pages.

# 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": [
        "apple earnings"
    ],
    "maxResultsPerQuery": 20,
    "country": "us",
    "language": "en"
};

// Run the Actor and wait for it to finish
const run = await client.actor("automationnation/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": ["apple earnings"],
    "maxResultsPerQuery": 20,
    "country": "us",
    "language": "en",
}

# Run the Actor and wait for it to finish
run = client.actor("automationnation/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": [
    "apple earnings"
  ],
  "maxResultsPerQuery": 20,
  "country": "us",
  "language": "en"
}' |
apify call automationnation/google-news-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,automationnation/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/7VvYaDGp3T209IGUV/builds/afxC0DOa8kw5tuflu/openapi.json