# Zomato Restaurant Reviews Scraper 🍽️ (`easyapi/zomato-restaurant-reviews-scraper`) Actor

Scrape restaurant reviews from Zomato.com. Extract detailed review data including ratings, review text, user information, and more. Perfect for restaurant analytics, customer feedback analysis, and market research.

- **URL**: https://apify.com/easyapi/zomato-restaurant-reviews-scraper.md
- **Developed by:** [EasyApi](https://apify.com/easyapi) (community)
- **Categories:** E-commerce, Integrations, Other
- **Stats:** 218 total users, 36 monthly users, 99.1% runs succeeded, 4 bookmarks
- **User rating**: 5.00 out of 5 stars

## Pricing

from $2.99 / 1,000 results

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/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

## Zomato Restaurant Reviews Scraper 🍽️

Extract detailed restaurant reviews and ratings from Zomato.com with ease! This powerful scraper helps you gather valuable customer feedback and insights.

### 🎯 Use Cases

- Market research and competitor analysis
- Customer sentiment analysis
- Restaurant performance monitoring
- Menu optimization based on customer feedback
- Social proof collection for marketing

### ✨ Features

- 🔍 Scrapes complete review details
- 👤 Captures user information
- ⭐ Extracts ratings and review text
- 📊 Collects engagement metrics (likes, comments)
- 📅 Includes timestamp information
- 🔄 Handles pagination automatically
- 🚀 Fast and efficient scraping
- 🛡️ Built-in proxy support

### 📊 Output Data

Each review record includes:

- Review text and rating
- User details (name, profile URL, review count)
- Engagement metrics (likes, comments)
- Review tags and photos
- Restaurant context
- Timestamp information

### 💡 Input Parameters

The actor accepts the following inputs:

- `restaurantUrls`: Array of Zomato restaurant URLs to scrape
- `maxItems`: Maximum number of reviews to collect (optional)
- `proxyConfiguration`: Proxy settings (optional)

### 📌 Limitations

- Respects Zomato's terms of service and rate limits
- Some reviews might require authentication to access
- Historical data availability may vary by restaurant

### 💪 Support

Need help? Feel free to reach out through Apify's support channels.

#### Input Example

A full explanation of an input example in JSON.

```json
{
    "restaurantUrls": [
        "https://www.zomato.com/agra/new-pizza-king-shahganj/"
    ],
    "maxItems": 50
}
```

#### Output sample

The results will be wrapped into a dataset which you can always find in the **Storage** tab. Here's an excerpt from the data you'd get if you apply the input parameters above:

And here is the same data but in JSON. You can choose in which format to download your data: JSON, JSONL, Excel spreadsheet, HTML table, CSV, or XML.

```json
[
    {
        "restaurantUrls": "https://www.zomato.com/agra/new-pizza-king-shahganj/",
        "status": "success",
        "message": "",
        "reviewId": 279510283,
        "reviewText": "didn't recieve  sause , chiili flakes ,and oregano but the overall pizza was good ",
        "reviewTextSm": "",
        "userName": "Khushbu",
        "userProfilePic": "https://b.zmtcdn.com/web/assets/2267aec184e096c98c46a1565a5563661664945464.png?fit=around%7C100%3A100&crop=100%3A100%3B%2A%2C%2A",
        "userProfileUrl": "https://www.zomato.com/users/khushbu-338006217",
        "userImagePlaceholder": "https://b.zmtcdn.com/images/placeholder_200.png?output-format=webp",
        "reviewUserId": 338006217,
        "urbanspoonStatus": 0,
        "userReviewsCount": 0,
        "userFollowersCount": 0,
        "isFollowed": false,
        "timestamp": "yesterday",
        "likeCount": 0,
        "isLikedByUser": false,
        "comments": [],
        "managementComments": [],
        "moreManagementComments": false,
        "commentCount": 0,
        "moreComments": false,
        "reviewPhotos": [],
        "reviewTags": [],
        "reviewUrl": "https://www.zoma.to/zYbbXNp",
        "externalUrl": "",
        "externalHost": "",
        "externalHostText": "",
        "isEditable": false,
        "experience": "o2_delivery",
        "newRatingColor": "#ED5A6B",
        "ratingV2": "3",
        "bgColorV2": {
            "type": "yellow",
            "tint": "400"
        },
        "ratingV2Text": "DELIVERY",
        "rating": {
            "entities": [
                {
                    "entity_type": "RATING",
                    "entity_ids": [
                        935659306
                    ]
                }
            ]
        }
    },
    ...
]
```

### Related Actors

- 🍽️ [Uber Eats Store Search Scraper](https://apify.com/easyapi/uber-eats-store-search-scraper) - Extract detailed restaurant data from Uber Eats search results
- 🍽️ [Grubhub Restaurant Scraper](https://apify.com/easyapi/grubhub-restaurant-scraper) - Scrape restaurant data including menus, prices, ratings, and delivery information
- 🍽️ [Grubhub Restaurant Reviews Scraper](https://apify.com/easyapi/grubhub-restaurant-reviews-scraper) - Extract comprehensive customer reviews and ratings from Grubhub restaurants
- 📊 [Text Sentiment Analysis](https://apify.com/easyapi/text-sentiment-analysis) - Analyze sentiment of reviews with detailed breakdown of positive, negative, and neutral opinions
- 🔍 [Article Content Extractor](https://apify.com/easyapi/article-content-extractor) - Extract clean content and metadata from restaurant review articles and blog posts
- 🛍️ [Myntra Reviews Scraper](https://apify.com/easyapi/myntra-reviews-scraper) - Extract detailed review data with ratings, comments and user information
- 🛍️ [Etsy Reviews Scraper](https://apify.com/easyapi/etsy-reviews-scraper) - Scrape detailed review data including ratings, text and reviewer information
- 🏨 [Hotels.com Review Scraper](https://apify.com/easyapi/hotels-com-review-scraper) - Extract detailed reviews with ratings and reviewer information
- 🏨 [TripAdvisor Reviews Scraper](https://apify.com/easyapi/tripadvisor-reviews-scraper) - Extract detailed reviews from TripAdvisor listings
- 🛍️ [Flipkart Review Scraper](https://apify.com/easyapi/flipkart-review-scraper) - Scrape detailed product reviews including ratings and user feedback
- 🛍️ [Noon.com Reviews Scraper](https://apify.com/easyapi/noon-com-reviews-scraper) - Extract detailed customer feedback and ratings from product reviews
- 🧖‍♀️ [Treatwell Reviews Scraper](https://apify.com/easyapi/treatwell-reviews-scraper) - Scrape detailed service reviews with ratings and user information
- 🛍️ [AppSumo Product Scraper](https://apify.com/easyapi/appsumo-product-scraper) - Extract product details including reviews and ratings
- 📚 [Udemy Course Reviews Scraper](https://apify.com/easyapi/udemy-course-reviews-scraper) - Scrape detailed course reviews with ratings and user feedback
- 🎬 [IMDB Reviews Scraper](https://apify.com/easyapi/imdb-reviews-scraper) - Extract detailed user reviews and ratings from any IMDB title

# Actor input Schema

## `restaurantUrls` (type: `array`):

List of Zomato restaurant URLs to scrape reviews from

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

Maximum number of reviews to collect per restaurant

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

Proxy settings for making requests

## Actor input object example

```json
{
  "restaurantUrls": [
    "https://www.zomato.com/agra/new-pizza-king-shahganj/"
  ],
  "maxItems": 20,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

# 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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("easyapi/zomato-restaurant-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 = {}

# Run the Actor and wait for it to finish
run = client.actor("easyapi/zomato-restaurant-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 '{}' |
apify call easyapi/zomato-restaurant-reviews-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,easyapi/zomato-restaurant-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/jVyODQAxiPxB1aVcg/builds/re48x2CKO7TkOw4n1/openapi.json