# Yelp Scraper - Extract Business Data & Reviews (`admo-solutions/yelp-scraper`) Actor

Scrape business listings, reviews, and contact info from Yelp. No API key required.

- **URL**: https://apify.com/admo-solutions/yelp-scraper.md
- **Developed by:** [Admo Solutions](https://apify.com/admo-solutions) (community)
- **Categories:**
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $15.00 / 1,000 results

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## Yelp Scraper

Scrape business listings, reviews, and contact information from [Yelp](https://www.yelp.com) without API key.

### What does Yelp Scraper do?

Yelp Scraper extracts business data directly from Yelp's website using browser automation. It captures business names, ratings, reviews, phone numbers, addresses, categories, and more.

**Try it now** - Enter a search query like "restaurants in New York" and get structured business data in seconds.

### Why use Yelp Scraper?

- **Lead Generation** - Find local businesses with contact info
- **Market Research** - Analyze competitors and customer reviews
- **Business Intelligence** - Track ratings and review trends
- **Sales Prospecting** - Build targeted business lists
- **Local SEO** - Discover top businesses in any niche

### How to use Yelp Scraper

1. Go to the Input tab
2. Enter search queries (e.g., "coffee shops in Seattle")
3. Set max results per query
4. Click **Start**

### Input

| Field | Type | Required | Default | Description |
|-------|------|----------|---------|-------------|
| `queries` | array | Yes | - | Search queries to find businesses |
| `maxResults` | integer | No | 20 | Max results per query (1-200) |
| `getDetails` | boolean | No | true | Click into each result for phone, website, hours |
| `language` | string | No | en | Yelp interface language |

### Output Example

```json
[
  {
    "name": "Joe's Pizza",
    "rating": 4.5,
    "reviews_count": 342,
    "phone": "(212) 555-1234",
    "address": "7 Carmine St, New York, NY 10014",
    "category": "Pizza",
    "price_range": "$$",
    "website": "https://joespizza.com",
    "yelp_url": "https://www.yelp.com/biz/joes-pizza-new-york",
    "search_query": "restaurants in New York"
  }
]
```

### Data Fields

| Field | Description |
|-------|-------------|
| `name` | Business name |
| `rating` | Star rating (1.0-5.0) |
| `reviews_count` | Number of reviews |
| `phone` | Phone number |
| `address` | Full address |
| `category` | Business category |
| `price_range` | Price level ($, $$, $$$, $$$$) |
| `website` | Business website URL |
| `yelp_url` | Yelp listing URL |
| `search_query` | Original search query |

### Pricing

- **Cost per 1,000 businesses**: $5.00
- **Your profit**: ~$2.50 per 1,000 businesses

### Tips

- Use specific queries for better results ("Italian restaurants in Brooklyn" vs "food")
- Enable "Get Details" for complete contact info
- Results include phone, website, and hours when available

### Legal

This scraper is for educational purposes. Users are responsible for complying with Yelp's Terms of Service.

# Actor input Schema

## `queries` (type: `array`):

Search queries to find businesses on Yelp

## `maxResults` (type: `integer`):

Maximum number of results to scrape per query

## `getDetails` (type: `boolean`):

Click into each business for phone, website, hours

## `language` (type: `string`):

Yelp interface language

## Actor input object example

```json
{
  "queries": [
    "restaurants in New York"
  ],
  "maxResults": 20,
  "getDetails": true,
  "language": "en"
}
```

# Actor output Schema

## `dataset` (type: `string`):

No description

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "queries": [
        "restaurants in New York"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("admo-solutions/yelp-scraper").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = { "queries": ["restaurants in New York"] }

# Run the Actor and wait for it to finish
run = client.actor("admo-solutions/yelp-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "queries": [
    "restaurants in New York"
  ]
}' |
apify call admo-solutions/yelp-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,admo-solutions/yelp-scraper"
        }
    }
}

```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/QdP4R7cNwormm0fYD/builds/ukydDbX4P8BHAK1HE/openapi.json