# Scrape Local Businesses From DuckDuckGo

**Use case:** 

Local business listings without touching Google: name, address, phone, website, category, rating, review count, opening hours and up to five review excerpts. The source has no paging - one search answers with about twenty businesses and there is no page two - so the same search is reworded with twelve measured prefixes to reach past it: coffee in Austin went from 18 businesses to 67.

## Input

```json
{
  "searchTerms": [
    "coffee"
  ],
  "locations": [
    "Austin, TX"
  ],
  "expandQueries": true,
  "maxItems": 200,
  "maxQueries": 120,
  "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`).