# Revolut vs Monzo vs Starling: UK News Coverage

**Use case:** 

A ready made media comparison of Revolut, Monzo and Starling Bank. Shows each brand's share of news coverage over the last 30 days, how many publications wrote about it, which outlets covered only that brand, a day by day timeline and the latest headlines with links. Each brand is checked to confirm the coverage is really about the company.

## Input

```json
{
  "brands": [
    "Revolut",
    "Monzo",
    "Starling Bank"
  ],
  "context": "software",
  "excludeTerms": [
    "recipe",
    "football"
  ],
  "timeWindowDays": "30",
  "market": "GB",
  "requireBrandInHeadline": true,
  "exactPhrase": true,
  "checkNameAmbiguity": true,
  "maxArticlesPerBrand": 100,
  "includeArticles": false
}
```

## Output

```json
{
  "brand": {
    "label": "Brand"
  },
  "articles": {
    "label": "Articles",
    "format": "number"
  },
  "sharePercent": {
    "label": "Share of voice %",
    "format": "number"
  },
  "outletCount": {
    "label": "Outlets",
    "format": "number"
  },
  "businessContextPercent": {
    "label": "Business context %",
    "format": "number"
  },
  "nameLooksAmbiguous": {
    "label": "Name too generic?",
    "format": "boolean"
  },
  "averageArticlesPerDay": {
    "label": "Articles / day",
    "format": "number"
  },
  "busiestDay": {
    "label": "Busiest day"
  },
  "busiestDayArticles": {
    "label": "On that day",
    "format": "number"
  },
  "topOutlets": {
    "label": "Top outlets",
    "format": "array"
  },
  "exclusiveOutletCount": {
    "label": "Exclusive outlets",
    "format": "number"
  },
  "lastArticleAt": {
    "label": "Latest article",
    "format": "date"
  },
  "market": {
    "label": "Market"
  },
  "windowDays": {
    "label": "Window (days)",
    "format": "number"
  }
}
```

## About this Actor

This example demonstrates how to use [Brand Coverage Tracker: News Share of Voice](https://apify.com/precious_bathmat/brand-coverage-tracker.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/precious_bathmat/brand-coverage-tracker.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/precious_bathmat/brand-coverage-tracker.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`).