# Yelp Reviews Scraper - $0.30 / 1000 Reviews (`scrapeunblocker/yelp-reviews-scraper`) Actor

Scrape Yelp reviews of any business: rating, full text, language, date, reviewer name, location, Elite status, photos, helpful / thanks / love reactions, owner replies and earlier reviews. Sort, language, star, keyword and date filters, up to 5000 per business. $0.30 per 1000 reviews.

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

## Pricing

from $0.30 / 1,000 reviews

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?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## Yelp Reviews Scraper

Scrape **Yelp reviews** of any business as clean structured JSON - star rating, full review text, language, date and time, reviewer name, location, Elite status and review / friend / photo counts, review photos and videos, Helpful / Thanks / Love this / Oh no reactions, check-ins, the owner's public reply and the reviewer's earlier reviews of the same business. Many businesses in one run, up to 5000 reviews each. No Yelp account, no API key, no proxies to configure.

### Features

- **Any business input** - a Yelp business page URL, its alias (`gary-danko-san-francisco`) or its Yelp business id. The id is the fastest; the run's `BUSINESSES` record returns it for next time.
- **Yelp's own sort orders** - newest, oldest, Yelp sort (relevance), highest rated, lowest rated, Elite reviewers first.
- **Filters** - review language, star ratings (e.g. only 1 and 2 stars), a keyword the review must mention, and a date (`since`).
- **Full review data** - rating, text, language, ISO date and local date-time, photos (URL, caption, size), videos, reactions, check-ins, first-to-review and Review of the Day flags, updated-review history (`previousReviews`) and the owner's reply with its date and author.
- **Reviewer data** - name, location, profile URL, avatar, review count, friend count, photo count, Elite status and year.
- **Business summary** - the `BUSINESSES` record has the business rating, review count, 1-5 star histogram, review counts per language, categories, city and region.
- **Deduplicated** - the same business given twice (URL, alias or id) is collected once.

### Use cases

- **Reputation monitoring** - a scheduled run with `Newest first` and `since` delivers every new review of your locations or your competitors'.
- **Complaint analysis** - pull only 1 and 2 star reviews, or reviews mentioning "wait time" or "parking".
- **Market research** - compare what customers say about restaurants, clinics or shops in a city.
- **Sentiment and LLM pipelines** - feed clean review text, ratings and dates into BI tools, spreadsheets or an LLM for summaries.

### Input

| Field | Type | Default | Description |
|-------|------|---------|-------------|
| `businesses` | array | Gary Danko, San Francisco | Yelp business URLs, aliases or business ids. |
| `maxReviewsPerBusiness` | integer | `20` | Reviews per business (1-5000). |
| `sort` | string | `newest` | `newest`, `relevance`, `oldest`, `highest`, `lowest`, `elites`. |
| `language` | string | - | Two-letter code; empty = the business's main review language. |
| `ratings` | array | - | Only these star ratings (`"1"`-`"5"`). |
| `searchQuery` | string | - | Only reviews mentioning this phrase. |
| `since` | string | - | Only reviews written on or after this date (YYYY-MM-DD). |

#### Example input

```json
{
  "businesses": [
    "https://www.yelp.com/biz/gary-danko-san-francisco",
    "WLwc3pkt57xxjwXm43pPzQ"
  ],
  "maxReviewsPerBusiness": 200,
  "sort": "newest",
  "ratings": ["1", "2"],
  "since": "2026-01-01"
}
```

### Output

One dataset item per review:

```json
{
  "businessId": "WavvLdfdP6g8aZTtbBQHTw",
  "businessAlias": "gary-danko-san-francisco",
  "businessName": "Gary Danko",
  "businessUrl": "https://www.yelp.com/biz/gary-danko-san-francisco",
  "id": "rmHRbvuVBpNb6faLI7EufQ",
  "url": "https://www.yelp.com/biz/gary-danko-san-francisco?hrid=rmHRbvuVBpNb6faLI7EufQ",
  "rating": 5,
  "text": "Been here for 10 years and cannot believe I haven't written a review.  First time dining a ...",
  "language": "en",
  "date": "2026-09-26",
  "publishedDate": "2026-09-26T20:12:05-07:00",
  "userId": "yzrukGWpdm6KGIHRAYo_rg",
  "userName": "Lei H.",
  "userLocation": "San Francisco, CA",
  "userProfileUrl": "https://www.yelp.com/user_details?userid=yzrukGWpdm6KGIHRAYo_rg",
  "userAvatar": "https://s3-media0.fl.yelpcdn.com/photo/670uYG2W19te4Uy9EVVdgQ/180s.jpg",
  "userReviewCount": 601,
  "userFriendCount": 281,
  "userPhotoCount": 1481,
  "userIsElite": true,
  "userEliteYear": 2026,
  "userIsEliteAllStar": null,
  "photos": [
    {
      "id": "0gwh8dr1Cc5sTNpfStU9oQ",
      "url": "https://s3-media0.fl.yelpcdn.com/bphoto/0gwh8dr1Cc5sTNpfStU9oQ/o.jpg",
      "caption": "Lobster Risotto",
      "width": 1501,
      "height": 2000
    }
  ],
  "photosCount": 2,
  "videos": [],
  "helpfulVotes": 1,
  "thanksVotes": 0,
  "loveThisVotes": 0,
  "ohNoVotes": 0,
  "checkIns": 0,
  "isFirstReviewer": false,
  "isReviewOfTheDay": false,
  "authorExpertise": "Cocktail Bar",
  "isUpdated": false,
  "previousReviews": [],
  "ownerResponseText": null,
  "ownerResponseDate": null,
  "ownerResponseAuthor": null,
  "ownerResponseAuthorRole": null,
  "businessInput": "https://www.yelp.com/biz/gary-danko-san-francisco"
}
```

The key-value store also holds:

- `BUSINESSES` - per business: id, alias, name, URL, rating, review count, star histogram, review counts per language, categories, city, region, image, the reviews in the chosen view and the reviews collected.
- `ERRORS` - businesses that returned no reviews (unknown business, no match for the filters, blocked) with the reason. These are **not billed**.

### Pricing

**$0.30 per 1000 reviews.** You pay only for reviews delivered; failed businesses are not charged.

### Notes

- Yelp lists reviews **one language at a time**. Without a `language` the scraper reads the language most of the business's reviews are in; the `BUSINESSES` record shows how many reviews exist in each language, so you can run the others too.
- With `since`, use `Newest first` for the fastest monitoring runs: paging stops at the first older review.

# Actor input Schema

## `businesses` (type: `array`):

Yelp businesses to collect reviews for: the business page URL (https://www.yelp.com/biz/gary-danko-san-francisco), its alias (gary-danko-san-francisco) or its Yelp business id (WavvLdfdP6g8aZTtbBQHTw). An id is the fastest; a URL or alias costs one extra page load the first time.

## `maxReviewsPerBusiness` (type: `integer`):

How many reviews to collect for each business (1-5000). Up to 500 reviews are read per request, so even large numbers take only a few requests.

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

The order Yelp lists the reviews in, as yelp.com's 'Sort by' menu.

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

Optional two-letter language code (en, fr, de, es, ...). Yelp lists one review language at a time; empty = the language most of the business's reviews are written in. The BUSINESSES record lists the review count per language.

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

Optional. Only reviews with these star ratings, e.g. 1 and 2 for complaints.

## `searchQuery` (type: `string`):

Optional. Only reviews that mention this phrase, e.g. 'parking' or 'gluten free' (yelp.com's review search).

## `since` (type: `string`):

Optional. Only reviews written on or after this date (YYYY-MM-DD). With 'Newest first' paging stops at the first older review, which makes monitoring runs fast.

## Actor input object example

```json
{
  "businesses": [
    "https://www.yelp.com/biz/gary-danko-san-francisco"
  ],
  "maxReviewsPerBusiness": 20,
  "sort": "newest"
}
```

# Actor output Schema

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

One item per review, with the business id, name and URL

## `businesses` (type: `string`):

Per business: rating, review count, star histogram, review counts per language, categories, city and the reviews collected

## `errors` (type: `string`):

Businesses that returned no reviews (unknown business, no match for the filters, or blocked), with the reason (not billed)

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

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

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

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,scrapeunblocker/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/89J4EZTeejkBOd0EQ/builds/oudjvzhfhKrzgcDzz/openapi.json