# Find travel apps with fewer than 2,000 ratings

**Use case:** 

Build a travel-app shortlist from two keyword searches in the US and UK, filtered to fewer than 2,000 ratings per storefront. Inspect the HTML report, source evidence and CSV. Repeat the saved search to compare observations. Ranked Apple sample, not a complete market index. $0.25 per completed report, including zero matches.

## Input

```json
{
  "queries": [
    "travel planner",
    "trip itinerary"
  ],
  "countries": [
    "US",
    "GB"
  ],
  "maxApps": 160,
  "resultsPerQuery": 100,
  "categoryIds": [
    "6003"
  ],
  "maxRatingCount": 1999,
  "requireAllCountries": false,
  "savedSearchId": "travel-niche-shortlist"
}
```

## Output

```json
{
  "appId": {
    "label": "App id",
    "format": "string"
  },
  "country": {
    "label": "Country",
    "format": "string"
  },
  "name": {
    "label": "Name",
    "format": "string"
  },
  "developer": {
    "label": "Developer",
    "format": "string"
  },
  "primaryCategory": {
    "label": "Primary category",
    "format": "string"
  },
  "storeUrl": {
    "label": "App Store",
    "format": "string"
  },
  "releaseDate": {
    "label": "Release date",
    "format": "string"
  },
  "updatedAt": {
    "label": "Updated at",
    "format": "string"
  },
  "ratingCount": {
    "label": "Ratings",
    "format": "integer"
  },
  "averageRating": {
    "label": "Average rating",
    "format": "number"
  },
  "price": {
    "label": "Price",
    "format": "number"
  },
  "currency": {
    "label": "Currency",
    "format": "string"
  },
  "firstSeenAt": {
    "label": "First observed",
    "format": "string"
  },
  "observedAt": {
    "label": "Observed at",
    "format": "string"
  }
}
```

## How it works

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

The App Discovery Radar Actor is ready to run with the inputs already set for "Find travel apps with fewer than 2,000 ratings". [Sign up or log in](https://console.apify.com/create-task-from-example/Bl34NYb0AyVmTgB6z) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Find travel apps with fewer than 2,000 ratings" task

The App Discovery Radar Actor will start running based on the input automatically. You can also change all the input fields, like search queries, app store countries, and more, to match your specific use case.

### 3. Receive the "Find travel apps with fewer than 2,000 ratings" 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 app id, country, name, 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 "Find travel apps with fewer than 2,000 ratings" task via API](https://apify.com/kamnev.apps/app-discovery-radar.md).

## About this Actor

This example demonstrates how to use [App Discovery Radar](https://apify.com/kamnev.apps/app-discovery-radar.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/kamnev.apps/app-discovery-radar.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/kamnev.apps/app-discovery-radar.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`).