# Google News monitor: daily, only the new articles

**Use case:** 

A daily watch on Google News for bitcoin, the last 24 hours each run (timeframe 1d). The first run delivers the feed's articles; each later run delivers and charges only the articles an earlier run did not, and skips the rest free, undecoded: the input row counts them (skipped_seen). Every delivered row says when this memory first and last saw the article. Nothing new, no charge.

## Input

```json
{
  "keywords": [
    "bitcoin"
  ],
  "regionLanguage": "US:en",
  "timeframe": "1d",
  "maxArticles": 50,
  "decodeUrls": false,
  "onlyNew": true,
  "stateStoreName": "",
  "maxItems": 100
}
```

## Output

```json
{
  "row_type": {
    "label": "Row type",
    "format": "string"
  },
  "input_index": {
    "label": "Input #",
    "format": "integer"
  },
  "input_value": {
    "label": "Input",
    "format": "string"
  },
  "input_kind": {
    "label": "Input kind",
    "format": "string"
  },
  "status": {
    "label": "Status",
    "format": "string"
  },
  "status_detail": {
    "label": "Status detail",
    "format": "string"
  },
  "scraped_at": {
    "label": "Scraped at",
    "format": "string"
  },
  "position": {
    "label": "Position",
    "format": "integer"
  },
  "title": {
    "label": "Title",
    "format": "string"
  },
  "source_name": {
    "label": "Publisher",
    "format": "string"
  },
  "source_url": {
    "label": "Publisher site",
    "format": "string"
  },
  "published_at": {
    "label": "Published",
    "format": "string"
  },
  "url": {
    "label": "Article URL",
    "format": "string"
  },
  "url_status": {
    "label": "URL status",
    "format": "string"
  },
  "google_news_url": {
    "label": "Google News link",
    "format": "string"
  },
  "article_id": {
    "label": "Article ID",
    "format": "string"
  },
  "related_articles": {
    "label": "Related coverage",
    "format": "array"
  },
  "related_count": {
    "label": "Related",
    "format": "integer"
  },
  "feed_position": {
    "label": "Feed position",
    "format": "integer"
  },
  "window": {
    "label": "Day window",
    "format": "string"
  },
  "first_seen_at": {
    "label": "First seen",
    "format": "string"
  },
  "last_seen_at": {
    "label": "Last seen",
    "format": "string"
  },
  "times_seen": {
    "label": "Times seen",
    "format": "integer"
  },
  "region_language": {
    "label": "Edition",
    "format": "string"
  },
  "timeframe": {
    "label": "Time frame",
    "format": "string"
  },
  "feed_url": {
    "label": "Feed URL",
    "format": "string"
  },
  "articles_delivered": {
    "label": "Delivered",
    "format": "integer"
  },
  "feeds_read": {
    "label": "Feeds read",
    "format": "integer"
  },
  "skipped_seen": {
    "label": "Skipped (seen before)",
    "format": "integer"
  },
  "verdict": {
    "label": "Verdict",
    "format": "string"
  },
  "verdict_detail": {
    "label": "Verdict detail",
    "format": "string"
  }
}
```

## How it works

### 1. Sign up on Apify or log in

The Google News Scraper: Articles by Keyword, Topic & Country Actor is ready to run with the inputs already set for "Google News monitor: daily, only the new articles". [Sign up or log in](https://console.apify.com/create-task-from-example/695XGb5QfZWt9mYCo) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Google News monitor: daily, only the new articles" task

The Google News Scraper: Articles by Keyword, Topic & Country Actor will start running based on the input automatically. You can also change all the input fields, like keywords, region and language, and more, to match your specific use case.

### 3. Receive the "Google News monitor: daily, only the new articles" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as row type, input #, input, and more.

### 4. Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also [run the "Google News monitor: daily, only the new articles" task via API](https://apify.com/hyperbach/google-news-scraper.md).

## About this Actor

This example demonstrates how to use [Google News Scraper: Articles by Keyword, Topic & Country](https://apify.com/hyperbach/google-news-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/hyperbach/google-news-scraper.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

This Task's input is already configured above. Use it as-is rather than inventing a new one.

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 full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/hyperbach/google-news-scraper.md

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`).