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.
Extract detailed restaurant reviews and ratings from Zomato.com with ease! This powerful scraper helps you gather valuable customer feedback and insights.
Each review record includes:
The actor accepts the following inputs:
restaurantUrls
: Array of Zomato restaurant URLs to scrapemaxItems
: Maximum number of reviews to collect (optional)proxyConfiguration
: Proxy settings (optional)Need help? Feel free to reach out through Apify's support channels.
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}
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]
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.
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.
It extracts job titles, companies, salaries (if available), descriptions, locations, and post dates. You can export all of it to Excel or JSON.
Yes, you can scrape multiple pages and refine by job title, location, keyword, or more depending on the input settings you use.
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!