# Scrape One Business Type Across Many Cities

**Use case:** 

Every search term is combined with every city, so one run covers a whole region instead of a single market. The query guard stops the combination from running away: cheapest combinations run first, so cutting it costs depth rather than breadth.

## Input

```json
{
  "searchTerms": [
    "dentist"
  ],
  "locations": [
    "Austin, TX",
    "Dallas, TX",
    "Houston, TX",
    "San Antonio, TX",
    "El Paso, TX"
  ],
  "expandQueries": true,
  "maxItems": 500,
  "maxQueries": 200,
  "verifyLocation": true,
  "reviewsPerBusiness": 3,
  "onlyWithWebsite": false,
  "onlyWithoutWebsite": false,
  "onlyWithPhone": false,
  "onlyWithReviewText": false,
  "skipPermanentlyClosed": false,
  "incremental": false,
  "emitUnchanged": false,
  "compactOutput": false,
  "requestTimeoutSecs": 30
}
```

## Output

```json
{
  "name": {
    "label": "Name",
    "format": "string"
  },
  "category": {
    "label": "Category",
    "format": "string"
  },
  "address": {
    "label": "Address",
    "format": "string"
  },
  "city": {
    "label": "City",
    "format": "string"
  },
  "country_code": {
    "label": "Country Code",
    "format": "string"
  },
  "phone": {
    "label": "Phone",
    "format": "string"
  },
  "website": {
    "label": "Website",
    "format": "string"
  },
  "rating": {
    "label": "Rating",
    "format": "integer"
  },
  "reviews_count": {
    "label": "Reviews Count",
    "format": "integer"
  },
  "price_text": {
    "label": "Price Text",
    "format": "string"
  },
  "hours_text": {
    "label": "Hours Text",
    "format": "string"
  },
  "amenity_list": {
    "label": "Amenity List",
    "format": "array"
  },
  "permanently_closed": {
    "label": "Permanently Closed",
    "format": "boolean"
  },
  "latitude": {
    "label": "Latitude",
    "format": "integer"
  },
  "longitude": {
    "label": "Longitude",
    "format": "integer"
  },
  "yelp_url": {
    "label": "Yelp Url",
    "format": "string"
  },
  "place_id": {
    "label": "Place Id",
    "format": "string"
  },
  "change_type": {
    "label": "Change Type",
    "format": "string"
  }
}
```

## About this Actor

This example demonstrates how to use [DuckDuckGo Scraper - Local Business Data, Yelp, Apple Maps](https://apify.com/snow_leo_data/duckduckgo-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/snow_leo_data/duckduckgo-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/duckduckgo-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`).