# Google News Scraper - Headlines, Sources, Dates (`angaba92/google-news-scraper`) Actor

Scrape Google News search results by keyword without API key: headline, publisher, domain, date, link and related coverage. Filter by country, language and time range (1h-1y). Export JSON, CSV, Excel or API. $1 per 1,000 articles.

- **URL**: https://apify.com/angaba92/google-news-scraper.md
- **Developed by:** [Andres Garcia-Baquero Leon](https://apify.com/angaba92) (community)
- **Categories:** News, Lead generation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

Pay per event

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 - Headlines, Sources, Dates

Get Google News search results as clean structured data: headline, publisher, publisher domain, publish date (UTC), Google News link and the related coverage cluster for every story. Search any keyword or Google News operator, pick a country edition, a language and a time window, and export to JSON, CSV, Excel or the Apify API.

No API key, no login, no browser. Pay only for delivered articles: **$1.00 per 1,000 articles**, with an almost-zero start fee ($0.00005), so small scheduled monitoring runs stay cheap.

### Why use it

| Manually | With this actor |
|---|---|
| Open Google News, search, copy headlines one by one | One run returns up to 100 articles per query |
| Dates shown as "3 hours ago" | ISO 8601 UTC `publishedAt` |
| Same story repeated across queries | Deduplicated across queries (not charged twice) |
| Hard to track 20 brands/competitors | 20 queries in one scheduled run, sent to Sheets/Slack/webhook |

### Output example (real row)

```json
{
  "title": "OpenAI connects the Dots",
  "source": "Platformer",
  "sourceUrl": "https://www.platformer.news",
  "sourceDomain": "platformer.news",
  "publishedAt": "2026-09-30T02:25:34+00:00",
  "googleNewsUrl": "https://news.google.com/rss/articles/CBMia0FVX3lx...?oc=5",
  "articleId": "CBMia0FVX3lx...",
  "position": 13,
  "relatedArticles": [
    {"title": "OpenAI launches Dots, its Muse competitor", "source": "The Verge", "googleNewsUrl": "https://news.google.com/rss/articles/CBMimgFB...?oc=5"}
  ],
  "relatedCount": 2,
  "query": "openai",
  "language": "en-US",
  "country": "US",
  "timeRange": "any",
  "scrapedAt": "2026-09-30T10:00:00+00:00"
}
```

### Output fields

| Field | Type | Description |
|---|---|---|
| title | string | Headline (publisher suffix removed) |
| source | string | Publisher name |
| sourceUrl / sourceDomain | string | Publisher homepage and domain |
| publishedAt | string | Publish date, ISO 8601 UTC |
| googleNewsUrl | string | Google News article link (redirects to the publisher) |
| articleId | string | Stable Google News article ID (use it for dedup in your pipeline) |
| position | integer | Rank in the Google News result list |
| relatedArticles / relatedCount | array / integer | Other outlets covering the same story (story cluster) |
| query, language, country, timeRange | string | The search that produced the row |
| scrapedAt | string | Extraction timestamp |

### How to use

1. Add one or more **Search queries** (keywords, brand names, `"exact phrase"`, `site:reuters.com`, `-exclude`).
2. Choose **Time range**, **Country** and **Language** (defaults: any time, US, en-US).
3. Click **Start**.
4. Download results as CSV, JSON, Excel, or read them via the API / integrations.

### Input

| Field | Default | Description |
|---|---|---|
| queries | demo: `artificial intelligence`, `openai` | Keywords or Google News operators |
| maxItemsPerQuery | 100 | 1-100 (Google News RSS returns up to ~100 per query) |
| timeRange | any | any, 1h, 1d, 7d, 30d, 1y |
| language | en-US | e.g. en-GB, es, de, fr, pt-BR |
| country | US | Two-letter edition, e.g. GB, ES, DE, IN |
| deduplicateAcrossQueries | true | Each article delivered and charged once per run |

#### Example: daily brand monitoring

```json
{"queries": ["\"Acme Corp\"", "\"Acme\" lawsuit", "Acme competitor"], "timeRange": "1d"}
```

#### Example: Spanish market news

```json
{"queries": ["inteligencia artificial", "Banco Santander"], "language": "es", "country": "ES", "timeRange": "7d"}
```

### Use cases

- Brand, competitor and executive media monitoring
- PR and share-of-voice reporting by publisher
- News datasets for LLM / RAG pipelines and sentiment analysis
- Market and investment research alerts (ticker, company, sector)
- Lead signals: funding, expansion or hiring news about target accounts

### Integrations

Schedule the actor daily or hourly and send results to Google Sheets, Slack, Zapier, Make, n8n, Airbyte, LangChain or any webhook. Use `articleId` to keep only new stories between runs.

### Pricing

Pay per event:

| Event | Price |
|---|---|
| Actor start | $0.00005 |
| Article delivered | $0.001 ($1.00 / 1,000) |

Duplicates, invalid queries and queries with no results are not charged. If you set a maximum cost per run, the actor stops delivering exactly at that limit.

### FAQ

**Does it need a Google API key or proxy?** No. It reads Google News public RSS search feeds.

**How many articles per query?** Google News returns up to about 100 per query. For more, split into narrower queries or use time ranges.

**Do I get the full article text?** No. You get headline, publisher, date, link and related coverage. The link redirects to the publisher's page.

**Can I use search operators?** Yes: `"exact phrase"`, `site:`, `-word`, `OR` work as in Google News.

**What if a query has no results?** It is listed in `noResults` in the run OUTPUT summary and nothing is charged. Queries are never replaced with other data.

**Are results the same as the Google News website?** They come from Google's own feed for the chosen edition; order can differ slightly from the web UI.

**Can I monitor news continuously?** Yes, schedule it and deduplicate by `articleId`.

### Troubleshooting

| Problem | Solution |
|---|---|
| Fewer than 100 articles | Google has fewer matches; widen the time range or query |
| Run failed with "Invalid input" | Check `language` (e.g. `en-US`), `country` (two letters) and `timeRange` values |
| Query in `failed` in OUTPUT | Temporary Google error after retries; re-run. The run fails only if every query failed |
| Wrong language results | Set both `language` and `country` to the same market |

# Actor input Schema

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

Keywords or Google News search operators (e.g. "tesla", "openai site:reuters.com", ""supply chain" -crypto"). One feed request per query. Empty = demo queries.

## `maxItemsPerQuery` (type: `integer`):

Google News RSS returns up to ~100 articles per query. Use several narrower queries or time ranges for more.

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

Only articles published in this window (Google News when: operator).

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

Interface language code, e.g. en-US, en-GB, es, de, fr, pt-BR.

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

Two-letter country edition, e.g. US, GB, ES, DE, FR, BR, IN.

## `deduplicateAcrossQueries` (type: `boolean`):

Deliver (and charge) each article only once even if several queries return it.

## Actor input object example

```json
{
  "queries": [
    "artificial intelligence",
    "openai"
  ],
  "maxItemsPerQuery": 30,
  "timeRange": "any",
  "language": "en-US",
  "country": "US",
  "deduplicateAcrossQueries": true
}
```

# Actor output Schema

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

One row per delivered and charged article.

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

OUTPUT: queries, scraped, perQuery, noResults, failed, invalidInput, duplicatesSkipped, chargeLimitReached.

# 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",
        "openai"
    ],
    "maxItemsPerQuery": 30
};

// Run the Actor and wait for it to finish
const run = await client.actor("angaba92/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": [
        "artificial intelligence",
        "openai",
    ],
    "maxItemsPerQuery": 30,
}

# Run the Actor and wait for it to finish
run = client.actor("angaba92/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": [
    "artificial intelligence",
    "openai"
  ],
  "maxItemsPerQuery": 30
}' |
apify call angaba92/google-news-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,angaba92/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/mokj1lqnyebj6736b/builds/kiXyH0VqAYJ09uj0T/openapi.json