# Scrape Local Business Reviews

**Use case:** 

Up to five review excerpts per business with star rating, author and date. Measured on 517 live businesses: three reviews came back for 265 of them, five for 121 and none for 92, so the filter for businesses that actually have review text is worth switching on.

## Input

```json
{
  "searchTerms": [
    "restaurant"
  ],
  "locations": [
    "Seattle, WA"
  ],
  "expandQueries": false,
  "maxItems": 200,
  "maxQueries": 120,
  "verifyLocation": true,
  "reviewsPerBusiness": 5,
  "onlyWithWebsite": false,
  "onlyWithoutWebsite": false,
  "onlyWithPhone": false,
  "onlyWithReviewText": true,
  "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`).