# Yelp Contact Scraper for Cold Outreach

**Use case:** 

Turn any Yelp category into a cold-outreach contact list. Search a service like Landscaping in Denver, CO and pull phone_number, website, full_address, city, state and zipcode for every business, alongside name and categories. Export straight into your dialer, email tool or CRM. Pay per result means cost scales with the leads you actually collect. Raise maxCrawlPages to widen the list.

## Input

```json
{
  "keywords": [
    "Landscaping"
  ],
  "locations": [
    "Denver, CO"
  ],
  "languages": "English (United States)",
  "sort": "Recommended",
  "price": [],
  "maxCrawlPages": 3,
  "unique_only": false,
  "urls": []
}
```

## Output

```json
{
  "is_ad": {
    "label": "Advertisement",
    "format": "boolean"
  },
  "name": {
    "label": "Business Name",
    "format": "text"
  },
  "rating": {
    "label": "Rating",
    "format": "text"
  },
  "review_count": {
    "label": "Review Count",
    "format": "text"
  },
  "is_claimed": {
    "label": "Claimed",
    "format": "text"
  },
  "price_level": {
    "label": "Price Level",
    "format": "text"
  },
  "categories": {
    "label": "Categories",
    "format": "text"
  },
  "coordinates": {
    "label": "Coordinates",
    "format": "object"
  },
  "full_address": {
    "label": "Full Address",
    "format": "text"
  },
  "city": {
    "label": "City",
    "format": "text"
  },
  "state": {
    "label": "State",
    "format": "text"
  },
  "zipcode": {
    "label": "Zip Code",
    "format": "text"
  },
  "phone_number": {
    "label": "Phone Number",
    "format": "text"
  },
  "images": {
    "label": "Images",
    "format": "array"
  },
  "hours": {
    "label": "Hours",
    "format": "object"
  },
  "owner_name": {
    "label": "Owner Name",
    "format": "text"
  },
  "about": {
    "label": "About",
    "format": "text"
  },
  "reviewhighlights": {
    "label": "Review Highlights",
    "format": "array"
  },
  "amenities": {
    "label": "Amenities",
    "format": "object"
  },
  "specialties": {
    "label": "Specialties",
    "format": "text"
  },
  "year_established": {
    "label": "Year Established",
    "format": "text"
  },
  "popular_items": {
    "label": "Popular Items",
    "format": "array"
  },
  "menu_url": {
    "label": "Menu URL",
    "format": "link"
  },
  "questions_answers": {
    "label": "Q&A",
    "format": "array"
  },
  "videos": {
    "label": "Videos",
    "format": "array"
  },
  "health_inspections": {
    "label": "Health Inspections",
    "format": "array"
  },
  "verified_licenses": {
    "label": "Verified Licenses",
    "format": "array"
  },
  "service_areas": {
    "label": "Service Areas",
    "format": "array"
  },
  "website": {
    "label": "Website",
    "format": "text"
  },
  "timestamp": {
    "label": "Timestamp",
    "format": "text"
  },
  "url": {
    "label": "Link",
    "format": "link"
  }
}
```

## About this Actor

This example demonstrates how to use [Yelp Advanced Business Scraper: Pay Per Result](https://apify.com/delicious_zebu/yelp-advanced-business-scraper-pay-per-result.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/delicious_zebu/yelp-advanced-business-scraper-pay-per-result.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/delicious_zebu/yelp-advanced-business-scraper-pay-per-result.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`).