# Yelp Business Scraper - $2/1000 Results (`scrapeunblocker/yelp-scraper`) Actor

Scrape Yelp businesses as JSON: name, rating, review count, price, categories, address, phone, website, hours and photos. Search by keyword + location, or fetch one business by URL. No Yelp API. Powered by ScrapeUnblocker.

- **URL**: https://apify.com/scrapeunblocker/yelp-scraper.md
- **Developed by:** [Scrapeunblocker](https://apify.com/scrapeunblocker) (community)
- **Stats:** 2 total users, 1 monthly users, 0.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.00 / 1,000 results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

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 Business Scraper

Scrape Yelp businesses as clean JSON through ScrapeUnblocker - no Yelp API.

### Modes

- **search** - businesses by `find_desc` (keyword) + `find_loc` (location), with sort, price and open-now filters and pagination
- **detail** - one business by `url`

### Output

Per business: name, rating, reviewCount, price, categories, address, phone, website, hours, photos, url, businessId, coordinates.

### Use cases

Local SEO, lead generation, market research, review and reputation monitoring.

Powered by ScrapeUnblocker.

# Actor input Schema

## `mode` (type: `string`):

search = businesses by keyword+location; detail = one business by URL

## `find_desc` (type: `string`):

For mode=search, e.g. coffee or plumbers. Required for search.

## `find_loc` (type: `string`):

For mode=search, e.g. San Francisco, CA. Required for search.

## `url` (type: `string`):

For mode=detail, a yelp.com/biz/... URL

## `sort` (type: `string`):

Search ordering

## `price` (type: `string`):

Price filter 1-4 ($ to $$$$), comma list

## `open_now` (type: `boolean`):

Only businesses open now

## `max_results` (type: `integer`):

How many businesses to collect

## `proxy_country` (type: `string`):

Exit-IP country (ISO-2). Blank = US (Yelp needs a US exit).

## Actor input object example

```json
{
  "mode": "search",
  "find_desc": "coffee",
  "find_loc": "San Francisco, CA",
  "sort": "recommended",
  "open_now": false,
  "max_results": 30,
  "proxy_country": ""
}
```

# Actor output Schema

## `items` (type: `string`):

Collected results

# 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 = {
    "find_desc": "coffee",
    "find_loc": "San Francisco, CA"
};

// Run the Actor and wait for it to finish
const run = await client.actor("scrapeunblocker/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 = {
    "find_desc": "coffee",
    "find_loc": "San Francisco, CA",
}

# Run the Actor and wait for it to finish
run = client.actor("scrapeunblocker/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 '{
  "find_desc": "coffee",
  "find_loc": "San Francisco, CA"
}' |
apify call scrapeunblocker/yelp-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,scrapeunblocker/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/dIPL2hyuXtX1q0Kuu/builds/nppt5W49p2G8QZfrV/openapi.json