# Yelp Reviews Scraper — Full Text, Owner Replies, Filters (`korado_labs/yelp-reviews-scraper`) Actor

Scrape Yelp reviews with full text, ratings, dates, user info, owner replies, photos and sentiment. Filter by stars, keyword or language. Export scraped data, run the scraper via API, schedule and monitor runs, or integrate with other tools.

- **URL**: https://apify.com/korado\_labs/yelp-reviews-scraper.md
- **Developed by:** [Korado Labs](https://apify.com/korado_labs) (community)
- **Categories:** Travel, Lead generation
- **Stats:** 2 total users, 1 monthly users, 0.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.00 / 1,000 review storeds

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

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 Reviews Scraper — Owner Replies, Photos + Sentiment

Extract **every review from any Yelp business page** — review text, star rating, date, full reviewer details, attached photos, the owner's public reply, feedback counts, and **free sentiment analysis on every review**. One clean row per review, exportable as JSON, CSV, or Excel.

### What you get per review

| Field | Description |
|---|---|
| `text`, `rating`, `date` / `dateParsed`, `language` | The review itself, with the date parsed to ISO format |
| `reviewerName`, `reviewerLocation`, `reviewerAvatar` | Who wrote it |
| `reviewerFriendCount`, `reviewerReviewCount`, `reviewerPhotoCount`, `reviewerElite` | Reviewer credibility signals |
| `photos`, `photoCaptions` | Direct image links for photos attached to the review |
| `ownerReplies` | The business's public response(s) with text and date |
| `feedbackUseful`, `feedbackFunny`, `feedbackCool` | Reaction counts |
| `sentiment` | `{label, score}` — positive / neutral / negative (VADER). **Free.** |
| `businessName`, `businessUrl` | Which business the review belongs to |

Plus one **free business info record** per URL: name, overall rating, review count, address, phone, price range.

### Features

- **Every review, not just the first page** — pagination handled for you.
- **Owner replies and photos included.**
- **Date-range filter** (`dateFrom` / `dateTo`) with early stopping — you don't pay for reviews outside your window.
- **Language filter** — one language or all of them.
- **Six sort orders** — newest, oldest, relevance, highest/lowest rated, elite reviewers.
- **Sentiment built in** — ready for brand monitoring and dashboards, at no extra cost.
- **Any Yelp domain** — yelp.com, yelp.co.uk, yelp.ca, yelp.de, yelp.com.au, …
- **No setup** — no login, no browser, proxies handled automatically.

### How to use it

1. Copy the URL of a Yelp business page (it contains `/biz/`).
2. Paste it into **Start URLs** — add as many businesses as you like.
3. Optionally cap reviews per business, pick a language, or set a date range.
4. Click **Start**, then download results from the **Storage** tab or the API.

```json
{
  "startUrls": [{ "url": "https://www.yelp.com/biz/gary-danko-san-francisco" }],
  "maxReviewsPerUrl": 200,
  "dateFrom": "2025-01-01",
  "sort": "newest"
}
```

### Pricing (pay per event)

| Event | Price |
|---|---|
| Actor start | $0.002 per run |
| Review scraped | $0.0015 |

1,000 reviews cost ~$1.50. Business info records and sentiment are free. Failed runs charge nothing.

### FAQ

**Do I need a Yelp account or API key?** No.

**Is scraping Yelp legal?** This actor extracts only publicly available data. Ensure your use complies with applicable laws and Yelp's terms; consult a lawyer if unsure.

**A business has thousands of reviews — will it work?** Yes; use `maxReviewsPerUrl` or a date range to control cost and runtime.

# Actor input Schema

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

Yelp business page URLs, e.g. `https://www.yelp.com/biz/gary-danko-san-francisco`. Any Yelp domain works (yelp.com, yelp.co.uk, yelp.ca, yelp.de, …).

## `maxReviewsPerUrl` (type: `integer`):

Stop after this many reviews per business. Leave empty for all reviews.

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

Collect reviews in one language only (e.g. `en`, `de`, `fr`). Leave empty for all languages.

## `dateFrom` (type: `string`):

Only reviews posted on or after this date (YYYY-MM-DD).

## `dateTo` (type: `string`):

Only reviews posted on or before this date (YYYY-MM-DD).

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

Order in which reviews are collected. When a date range is set, newest-first is used automatically.

## `includeSentiment` (type: `boolean`):

Tag every review with sentiment {label, score} (VADER). Free — no extra charge.

## `includeBusinessInfo` (type: `boolean`):

Also save one free record per business with name, overall rating, review count, address, and phone.

## `requestTimeoutSecs` (type: `integer`):

Per-request timeout.

## `proxy` (type: `object`):

Yelp uses DataDome anti-bot; the Unblocker proxy group is required and used by default — no setup needed.

## `ratings` (type: `array`):

Only return reviews with these star ratings (1-5). Leave empty for all.

## `query` (type: `string`):

Only return reviews containing this keyword/phrase. Leave empty for all reviews.

## `browserCdpUrl` (type: `string`):

CDP/WSS endpoint of a stealth scraping browser (e.g. Bright Data Scraping Browser, Browserless, ZenRows). Yelp uses DataDome, which blocks datacenter/residential proxies; a stealth browser is the reliable path. Leave empty to try Apify proxies (often 403).

## `engine` (type: `string`):

curl = fast browserless HTTP engine that passes DataDome via the Unblocker proxy (default); browser = stealth Chromium (needs browserCdpUrl on DataDome sites).

## Actor input object example

```json
{
  "startUrls": [
    {
      "url": "https://www.yelp.com/biz/gary-danko-san-francisco"
    }
  ],
  "sort": "newest",
  "includeSentiment": true,
  "includeBusinessInfo": true,
  "requestTimeoutSecs": 30,
  "proxy": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "UNBLOCKER"
    ]
  },
  "ratings": [],
  "engine": "curl"
}
```

# Actor output Schema

## `results` (type: `string`):

One record per review plus a free business info record per business.

# 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 = {
    "startUrls": [
        {
            "url": "https://www.yelp.com/biz/gary-danko-san-francisco"
        }
    ],
    "ratings": []
};

// Run the Actor and wait for it to finish
const run = await client.actor("korado_labs/yelp-reviews-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 = {
    "startUrls": [{ "url": "https://www.yelp.com/biz/gary-danko-san-francisco" }],
    "ratings": [],
}

# Run the Actor and wait for it to finish
run = client.actor("korado_labs/yelp-reviews-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 '{
  "startUrls": [
    {
      "url": "https://www.yelp.com/biz/gary-danko-san-francisco"
    }
  ],
  "ratings": []
}' |
apify call korado_labs/yelp-reviews-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,korado_labs/yelp-reviews-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/tkDEP9FtvkaDVWhSV/builds/seBDCQM3ShBFVl7Px/openapi.json