# Yelp Business Scraper (`bgfc97/yelp-business-scraper`) Actor

Scrape Yelp business search results — name, rating, review count, categories, price, phone, address, URL — by keyword and location. Reads the page's embedded JSON with HTML fallback, auto pagination, residential proxy.

- **URL**: https://apify.com/bgfc97/yelp-business-scraper.md
- **Developed by:** [Bruno](https://apify.com/bgfc97) (community)
- **Categories:** Lead generation, Travel
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.00 / 1,000 business scrapeds

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 Business Scraper 🍽️

Get **Yelp** business listings as clean rows — name, rating, review count, categories, price level, phone, address, and URL — by keyword and location.

Perfect for local lead generation, market research, competitor analysis, and building local business databases. Pairs well with the Google Maps and Yellow Pages scrapers for full local coverage.

### What it does

- Search by **what** (business type/keyword) × **where** (city/state).
- Reads the page's embedded JSON for accurate fields, with an HTML fallback.
- Auto-paginates up to your per-search limit.

### Input

```json
{
  "searchTerms": ["coffee", "sushi"],
  "locations": ["San Francisco, CA"],
  "maxResultsPerSearch": 100,
  "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"] }
}
```

### Output (one row per business)

```json
{
  "type": "business",
  "search_terms": "coffee",
  "search_location": "San Francisco, CA",
  "name": "Blue Bottle Coffee",
  "rating": 4.2,
  "review_count": 1893,
  "price": "$$",
  "categories": ["Coffee & Tea"],
  "phone": "(510) 653-3394",
  "address": "66 Mint St, San Francisco, CA",
  "url": "https://www.yelp.com/biz/blue-bottle-coffee-san-francisco"
}
```

### Notes

- **Residential proxy recommended** — Yelp blocks datacenter IPs; the Actor retries on blocks.
- Reads only public Yelp listing pages — no login.
- The account running the Actor pays for proxy usage.

# Actor input Schema

## `searchTerms` (type: `array`):

Business types or keywords, e.g. coffee, plumber, sushi.

## `locations` (type: `array`):

Locations, e.g. 'San Francisco, CA'. Each term is combined with each location.

## `searches` (type: `array`):

Optional explicit pairs: \[{ "terms": "sushi", "location": "Austin, TX" }].

## `maxResultsPerSearch` (type: `integer`):

Stop after this many businesses per (term + location) pair.

## `maxConcurrency` (type: `integer`):

Parallel requests. Keep low to avoid blocks.

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

Residential proxy recommended for Yelp. The account running the Actor pays for proxy usage.

## Actor input object example

```json
{
  "searchTerms": [
    "coffee"
  ],
  "locations": [
    "San Francisco, CA"
  ],
  "searches": [],
  "maxResultsPerSearch": 100,
  "maxConcurrency": 5,
  "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 = {
    "searchTerms": [
        "coffee"
    ],
    "locations": [
        "San Francisco, CA"
    ],
    "searches": [],
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": [
            "RESIDENTIAL"
        ]
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("bgfc97/yelp-business-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 = {
    "searchTerms": ["coffee"],
    "locations": ["San Francisco, CA"],
    "searches": [],
    "proxyConfiguration": {
        "useApifyProxy": True,
        "apifyProxyGroups": ["RESIDENTIAL"],
    },
}

# Run the Actor and wait for it to finish
run = client.actor("bgfc97/yelp-business-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 '{
  "searchTerms": [
    "coffee"
  ],
  "locations": [
    "San Francisco, CA"
  ],
  "searches": [],
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}' |
apify call bgfc97/yelp-business-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=bgfc97/yelp-business-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/bF2yhldnzMXNQV85D/builds/OSNquZfY73hvhUTzG/openapi.json