Zomato Restaurant Reviews Scraper 🍽️

Zomato Restaurant Reviews Scraper 🍽️

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.

ECOMMERCEINTEGRATIONSOTHERApify

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.

1{
2    "restaurantUrls": [
3        "https://www.zomato.com/agra/new-pizza-king-shahganj/"
4    ],
5    "maxItems": 50
6}

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.

1[
2    {
3        "restaurantUrls": "https://www.zomato.com/agra/new-pizza-king-shahganj/",
4        "status": "success",
5        "message": "",
6        "reviewId": 279510283,
7        "reviewText": "didn't recieve  sause , chiili flakes ,and oregano but the overall pizza was good ",
8        "reviewTextSm": "",
9        "userName": "Khushbu",
10        "userProfilePic": "https://b.zmtcdn.com/web/assets/2267aec184e096c98c46a1565a5563661664945464.png?fit=around%7C100%3A100&crop=100%3A100%3B%2A%2C%2A",
11        "userProfileUrl": "https://www.zomato.com/users/khushbu-338006217",
12        "userImagePlaceholder": "https://b.zmtcdn.com/images/placeholder_200.png?output-format=webp",
13        "reviewUserId": 338006217,
14        "urbanspoonStatus": 0,
15        "userReviewsCount": 0,
16        "userFollowersCount": 0,
17        "isFollowed": false,
18        "timestamp": "yesterday",
19        "likeCount": 0,
20        "isLikedByUser": false,
21        "comments": [],
22        "managementComments": [],
23        "moreManagementComments": false,
24        "commentCount": 0,
25        "moreComments": false,
26        "reviewPhotos": [],
27        "reviewTags": [],
28        "reviewUrl": "https://www.zoma.to/zYbbXNp",
29        "externalUrl": "",
30        "externalHost": "",
31        "externalHostText": "",
32        "isEditable": false,
33        "experience": "o2_delivery",
34        "newRatingColor": "#ED5A6B",
35        "ratingV2": "3",
36        "bgColorV2": {
37            "type": "yellow",
38            "tint": "400"
39        },
40        "ratingV2Text": "DELIVERY",
41        "rating": {
42            "entities": [
43                {
44                    "entity_type": "RATING",
45                    "entity_ids": [
46                        935659306
47                    ]
48                }
49            ]
50        }
51    },
52    ...
53]

Frequently Asked Questions

Is it legal to scrape job listings or public data?

Yes, if you're scraping publicly available data for personal or internal use. Always review Websute's Terms of Service before large-scale use or redistribution.

Do I need to code to use this scraper?

No. This is a no-code tool — just enter a job title, location, and run the scraper directly from your dashboard or Apify actor page.

What data does it extract?

It extracts job titles, companies, salaries (if available), descriptions, locations, and post dates. You can export all of it to Excel or JSON.

Can I scrape multiple pages or filter by location?

Yes, you can scrape multiple pages and refine by job title, location, keyword, or more depending on the input settings you use.

How do I get started?

You can use the Try Now button on this page to go to the scraper. You’ll be guided to input a search term and get structured results. No setup needed!