# Track news mentions of a brand in Google News

**Use case:** 

Track news mentions of a brand in Google News (example: Tesla, US and UK editions, past 7 days). Get headline, publisher, date and link for PR monitoring and competitor research.

## Input

```json
{
  "queries": [
    "Tesla"
  ],
  "topStories": false,
  "editions": [
    "US:en",
    "GB:en"
  ],
  "timeRange": "past_7_days",
  "maxArticlesPerFeed": 50,
  "deduplicate": true,
  "resolveUrls": false
}
```

## Output

```json
{
  "title": {
    "label": "Title"
  },
  "publisher": {
    "label": "Publisher"
  },
  "publishedAt": {
    "label": "Published at"
  },
  "query": {
    "label": "Query"
  },
  "topic": {
    "label": "Topic"
  },
  "edition": {
    "label": "Edition"
  },
  "url": {
    "label": "Url"
  },
  "googleNewsUrl": {
    "label": "Google news url"
  }
}
```

## How it works

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

The Google News Scraper — Any Country, Topics & Search Actor is ready to run with the inputs already set for "Track news mentions of a brand in Google News". [Sign up or log in](https://console.apify.com/create-task-from-example/i1ZVefKVwXCmqvqLv) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Track news mentions of a brand in Google News" task

The Google News Scraper — Any Country, Topics & Search Actor will start running based on the input automatically. You can also change all the input fields, like search queries, top stories, and more, to match your specific use case.

### 3. Receive the "Track news mentions of a brand in Google News" 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 title, publisher, published at, 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 "Track news mentions of a brand in Google News" task via API](https://apify.com/fjordlabs/google-news.md).

## FAQ

### What output fields does this task provide for news tracking?

The task provides the title, publisher, published date, query, topic, edition, URL of the article, and Google News URL.

### What news mentions can I track with this task?

The task tracks news mentions of a brand, such as Tesla, across Google News for specified countries and languages.

### How does this task handle multiple countries and editions?

The task allows tracking news from multiple countries and editions, such as US:en and GB:en, in a single run.

### What is the time range for the news articles this task retrieves?

The task retrieves news articles from the past 7 days.

### Can I connect this task to an AI agent?

The task can be integrated with AI agents through the Apify MCP server to feed news data automatically.

## About this Actor

This example demonstrates how to use [Google News Scraper — Any Country, Topics & Search](https://apify.com/fjordlabs/google-news.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/fjordlabs/google-news.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/fjordlabs/google-news.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`).