# Monitor Google News for brand mentions every day

**Use case:** 

Get new Google News articles about Tesla and Rivian with the original article URL, source and publish time. Each run returns only articles this watch has not returned before. Swap in your own brand or competitor names and run it every morning.

## Input

```json
{
  "queries": [
    "Tesla",
    "Rivian"
  ],
  "mode": "changes",
  "timeframe": "1d",
  "edition": "US:en",
  "maxArticlesPerQuery": 50,
  "resolveUrls": true,
  "watchName": "ev-brands"
}
```

## Output

```json
{
  "change": {
    "label": "Change",
    "format": "text"
  },
  "query": {
    "label": "Search",
    "format": "text"
  },
  "title": {
    "label": "Title",
    "format": "text"
  },
  "publisher": {
    "label": "Publisher",
    "format": "text"
  },
  "publishedAt": {
    "label": "Published",
    "format": "date"
  },
  "url": {
    "label": "Article",
    "format": "link"
  },
  "googleNewsUrl": {
    "label": "Google News",
    "format": "link"
  },
  "type": {
    "label": "Row type",
    "format": "text"
  }
}
```

## How it works

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

The Google News Scraper & Monitor Actor is ready to run with the inputs already set for "Monitor Google News for brand mentions every day". [Sign up or log in](https://console.apify.com/create-task-from-example/YaojXDcBN4ESEcDZ1) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Monitor Google News for brand mentions every day" task

The Google News Scraper & Monitor Actor will start running based on the input automatically. You can also change all the input fields, like search terms, what to return, and more, to match your specific use case.

### 3. Receive the "Monitor Google News for brand mentions every day" 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 change, search, title, 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 "Monitor Google News for brand mentions every day" task via API](https://apify.com/lyklo/google-news-scraper.md).

## FAQ

### How do I get only new articles each day?

Schedule this task to run every morning. Each run reads back from shortly before the previous run, so late articles are still caught, and returns only articles this watch has not returned before.

## About this Actor

This example demonstrates how to use [Google News Scraper & Monitor](https://apify.com/lyklo/google-news-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/lyklo/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/lyklo/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`).
