# Yelp Scraper — Businesses, Ratings & Reviews (`hichemdev/yelp-scraper`) Actor

Scrape Yelp business listings by search term and location: name, star rating, review count, price range, phone and photos. No login.

- **URL**: https://apify.com/hichemdev/yelp-scraper.md
- **Developed by:** [Hichem Ben Moussa](https://apify.com/hichemdev) (community)
- **Categories:** Lead generation, Business, Marketing
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $5.00 / 1,000 businesses

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/platform/actors/running/actors-in-store#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 — Businesses, Ratings & Reviews

Scrape **Yelp business listings** by search term and location — **name, star rating, review count, price range, phone and photo**. No login, no API key.

Yelp is protected by **DataDome** bot mitigation. This actor drives a **fingerprinted real browser over residential proxies**, so it gets through and returns clean, structured business data.

### What you can do with it

- 🧲 **Local lead generation** — build prospect lists of businesses by city and category
- ⭐ **Reputation & competitor tracking** — ratings and review volume over time
- 📊 **Market research** — density, pricing tier and quality by neighborhood
- 🔗 Pairs with the **Google Maps Leads Extractor** for multi-source local data

### Input

| Field | Type | Description |
|-------|------|-------------|
| `searchTerm` | string | What to search, e.g. `coffee`, `plumber`, `italian restaurant`. |
| `location` | string | Where, e.g. `Austin, TX`, `New York, NY`, `London`. |
| `startUrls` | array | Yelp search URLs with your own filters. Overrides the above. |
| `maxItems` | integer | Maximum businesses to scrape. |
| `proxyConfiguration` | object | **Residential required** (Yelp uses DataDome). |

#### Example

```json
{ "searchTerm": "plumber", "location": "Denver, CO", "maxItems": 100 }
```

### Output

```json
{
  "name": "Noble Joe Coffee",
  "slug": "noble-joe-coffee-austin",
  "url": "https://www.yelp.com/biz/noble-joe-coffee-austin",
  "rating": 4.8,
  "reviewCount": 100,
  "priceRange": "$$",
  "phone": "(512) 555-0134",
  "image": "https://s3-media0.fl.yelpcdn.com/....jpg"
}
```

Export to JSON, CSV, Excel, or pull live via the Apify API.

### Notes

- A **residential proxy is required** — Yelp's DataDome protection blocks datacenter IPs. The actor rotates fingerprints + IPs and retries automatically, so a run may take a few attempts to get through.
- Paginates automatically (10 results per page) up to `maxItems`.
- `priceRange` and `phone` are populated only where Yelp displays them on the results page.
- Multiple locations of the same brand appear as separate rows (each has its own Yelp page).

# Actor input Schema

## `searchTerm` (type: `string`):

What to search for, e.g. "coffee", "plumber", "italian restaurant".

## `location` (type: `string`):

Where to search, e.g. "Austin, TX", "New York, NY", "London".

## `startUrls` (type: `array`):

Yelp search URLs with your own filters applied. Overrides the search term and location.

## `maxItems` (type: `integer`):

Maximum number of businesses to scrape.

## `proxyConfiguration` (type: `object`):

Residential proxy is REQUIRED — Yelp uses DataDome bot protection.

## Actor input object example

```json
{
  "searchTerm": "coffee",
  "location": "Austin, TX",
  "startUrls": [],
  "maxItems": 10,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

# 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 = {
    "searchTerm": "coffee",
    "location": "Austin, TX",
    "startUrls": [],
    "maxItems": 10
};

// Run the Actor and wait for it to finish
const run = await client.actor("hichemdev/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 = {
    "searchTerm": "coffee",
    "location": "Austin, TX",
    "startUrls": [],
    "maxItems": 10,
}

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

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

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

```

## CLI example

```bash
echo '{
  "searchTerm": "coffee",
  "location": "Austin, TX",
  "startUrls": [],
  "maxItems": 10
}' |
apify call hichemdev/yelp-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=hichemdev/yelp-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/pUJVVtoy0biQujAOF/builds/vE0xCopkeHfba4s9l/openapi.json