# Scrape Google News Topics

**Use case:** 

The curated sections Google puts on its own front page - World, Business, Technology, Science, Health, Sports and the rest. A topic feed is a snapshot of that section's front page, between fifty-three and seventy articles, and it cannot be split by day.

## Input

```json
{
  "queries": [],
  "topics": [
    "BUSINESS",
    "TECHNOLOGY",
    "SCIENCE",
    "HEALTH",
    "WORLD"
  ],
  "topicUrls": [],
  "geoLocations": [],
  "includeTopStories": true,
  "edition": "US:en",
  "daysBack": 7,
  "breakFeedCap": true,
  "resolveArticleUrls": true,
  "fetchArticleMeta": false,
  "maxItems": 500,
  "onlyNew": false,
  "emitUnchanged": false,
  "titleContains": [],
  "excludeKeywords": [],
  "publishers": [],
  "excludePublishers": [],
  "publishedWithinHours": 0,
  "withUrlOnly": false,
  "minRelatedArticles": 0,
  "includeRelatedArticles": true,
  "compactOutput": false,
  "excludeEmptyFields": false
}
```

## Output

```json
{
  "title": {
    "label": "Headline",
    "format": "string"
  },
  "publisher": {
    "label": "Publisher",
    "format": "string"
  },
  "publisher_domain": {
    "label": "Domain",
    "format": "string"
  },
  "url": {
    "label": "Article URL",
    "format": "string"
  },
  "published_at": {
    "label": "Published",
    "format": "string"
  },
  "snippet": {
    "label": "Snippet",
    "format": "string"
  },
  "description": {
    "label": "Article description",
    "format": "string"
  },
  "image": {
    "label": "Image",
    "format": "string"
  },
  "related_count": {
    "label": "Other outlets",
    "format": "integer"
  },
  "source_type": {
    "label": "Found by",
    "format": "string"
  },
  "query": {
    "label": "Search term",
    "format": "string"
  },
  "topic": {
    "label": "Topic",
    "format": "string"
  },
  "geo": {
    "label": "City",
    "format": "string"
  },
  "geo_fallback": {
    "label": "City not recognised",
    "format": "boolean"
  },
  "edition": {
    "label": "Edition",
    "format": "string"
  },
  "country": {
    "label": "Country",
    "format": "string"
  },
  "language": {
    "label": "Language",
    "format": "string"
  },
  "change_type": {
    "label": "Change",
    "format": "string"
  },
  "url_resolved": {
    "label": "URL resolved",
    "format": "boolean"
  },
  "google_news_url": {
    "label": "Google News link",
    "format": "string"
  },
  "publisher_url": {
    "label": "Publisher home",
    "format": "string"
  },
  "published_timestamp": {
    "label": "Published (unix)",
    "format": "integer"
  },
  "title_raw": {
    "label": "Headline as published",
    "format": "string"
  },
  "related": {
    "label": "Related coverage",
    "format": "array"
  },
  "article_id": {
    "label": "Article id",
    "format": "string"
  },
  "scraped_at": {
    "label": "Collected at",
    "format": "string"
  }
}
```

## About this Actor

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