Zomato Reviews Scraper - Low-costπ²π₯π½οΈβ
Pricing
from $0.00005 / actor start
Zomato Reviews Scraper - Low-costπ²π₯π½οΈβ
π½οΈβ Easily scrape Zomato restaurant reviews. Extract review text, ratings, usernames, profile URL, likes, comments, review photos, tags, timestamps and management responses. Perfect for restaurant analytics, sentiment analysis, reputation monitoring, market research, AI datasets & customer insights
Pricing
from $0.00005 / actor start
Rating
5.0
(1)
Developer
Prime Scrape
Maintained by CommunityActor stats
2
Bookmarked
3
Total users
0
Monthly active users
23 days ago
Last modified
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π½οΈβ Zomato Reviews Scraper | Bulk Restaurant Review Scraper | Ratings, Users, Comments & Photos | Apify Actor
π Extract Zomato Reviews in Seconds (No Code)
The Zomato Reviews Scraper (Apify Actor) is a powerful, scalable, and SEO-optimized scraping solution designed to extract public Zomato restaurant reviews using bulk restaurant URLs.
Scrape reviews from Zomato restaurant pages and collect structured review datasets including review text, ratings, usernames, profile information, likes, comments, review photos, review dates, review tags, management responses, and review URLs.
Perfect for restaurant reputation monitoring, customer sentiment analysis, food market research, competitive intelligence, hospitality analytics, AI datasets, NLP projects, and review intelligence.
π₯ Why This Zomato Reviews Scraper?
β Best Zomato Reviews Scraper on Apify
β Supports Bulk Restaurant URLs
β Scrape Public Restaurant Reviews
β Automatic Review Pagination
β Extract Ratings & Review Text
β Extract Reviewer Information
β Extract Likes & Comments
β Extract Review Photos & Tags
β Extract Restaurant Management Responses
β Fast & Scalable Extraction
β JSON / CSV / Excel Ready
β No Coding Required
π― What This Scraper Does
This Apify Actor extracts public reviews directly from Zomato restaurant pages.
You can provide one or multiple Zomato restaurant URLs.
The scraper automatically handles the review URL, so you can provide either a restaurant page or its review page.
For example:
https://www.zomato.com/mumbai/sbarro-new-york-pizza-sion
The scraper automatically works with the restaurant's review section.
Each URL is processed independently and returns up to maxitems reviews.
π Core Features
β Bulk Restaurant URL Scraping
β Zomato Restaurant Reviews
β
Automatic /reviews Handling
β Review Text
β Short Review Text
β Reviewer Names
β Reviewer Profile Pictures
β Reviewer Profile URLs
β Reviewer IDs
β Reviewer Review Counts
β Reviewer Followers
β Review Ratings
β Rating Text
β Review Likes
β Review Comments
β Management Comments
β Review Photos
β Review Tags
β Review Dates / Timestamps
β Review URLs
β Experience Information
β High-Speed Cloud Scraping
β Clean Structured Datasets
β‘ Input Configuration (Simple & Powerful)
π₯ BULK RESTAURANT URL MODE (SEO BOOST π)
{"urls": [{"url": "https://www.zomato.com/mumbai/sbarro-new-york-pizza-sion"}],"maxitems": 20,"proxy": {"useApifyProxy": true,"apifyProxyGroups": ["RESIDENTIAL"],"apifyProxyCountry": "IN"}}
Simply add one or hundreds of Zomato restaurant URLs.
Each URL is processed independently and returns up to maxitems reviews.
Indian Residential proxies are recommended for the best reliability on Zomato.
π Extracted Data
| Field | Description |
|---|---|
| status | Scraping status |
| message | Status message |
| reviewId | Review ID |
| reviewText | Full review text |
| reviewTextSm | Short review text |
| userName | Reviewer username |
| userProfilePic | Reviewer profile picture |
| userProfileUrl | Reviewer profile URL |
| userImagePlaceholder | Profile image placeholder |
| reviewUserId | Reviewer ID |
| urbanspoonStatus | User status |
| userReviewsCount | Number of reviews by user |
| userFollowersCount | Number of followers |
| isFollowed | Follow status |
| timestamp | Review timestamp |
| likeCount | Number of likes |
| isLikedByUser | Like status |
| comments | Review comments |
| managementComments | Restaurant management responses |
| moreManagementComments | Additional management comments available |
| commentCount | Number of comments |
| moreComments | Additional comments available |
| reviewPhotos | Photos attached to review |
| reviewTags | Review tags |
| reviewUrl | Review URL |
| externalUrl | External review URL |
| externalHost | External host |
| externalHostText | External host text |
| isEditable | Whether review is editable |
| experience | Customer experience |
| newRatingColor | Rating color |
| ratingV2 | Rating V2 |
| bgColorV2 | Rating background information |
| ratingV2Text | Rating text |
| rating | Review rating data |
π‘ Use Cases
Perfect for:
π½οΈ Restaurant Reputation Monitoring
β Customer Review Analysis
π Sentiment Analysis
πͺ Restaurant Competitive Intelligence
π Hospitality Market Research
π¬ Customer Feedback Mining
π€ AI Training Datasets
π§ NLP & LLM Research
π Local Food Market Analysis
π Restaurant Performance Monitoring
π Key Features
β‘ Bulk Restaurant URLs
π½οΈ Zomato Reviews
β Ratings & Experiences
π€ Reviewer Information
β€οΈ Likes & Engagement
π¬ Comments & Replies
πͺ Restaurant Management Responses
πΈ Review Photos
π·οΈ Review Tags
π Review Timestamps
π Review URLs
π Structured Output
π Reliable Cloud Execution
πΎ Export-Ready Datasets
βοΈ Enterprise-Ready Apify Actor
π€ Export Formats
β JSON
β CSV
β Excel (XLSX)
β XML
β HTML
β RSS
π¦ Example Output
{"status": "success","reviewId": "123456789","reviewText": "Amazing food and great service. Really enjoyed the experience!","reviewTextSm": "Amazing food and great service.","userName": "foodlover","userProfilePic": "https://...","userProfileUrl": "https://www.zomato.com/user/foodlover","reviewUserId": "987654","userReviewsCount": "125","userFollowersCount": "42","timestamp": "2026-08-08T18:30:00","likeCount": "15","commentCount": "3","comments": [],"managementComments": [],"reviewPhotos": [],"reviewTags": [],"reviewUrl": "https://www.zomato.com/mumbai/sbarro-new-york-pizza-sion/reviews","experience": "Good","ratingV2": "4","ratingV2Text": "Very Good","rating": {"value": 4}}
π₯ Why This is the BEST Zomato Reviews Scraper on Apify?
β Optimized for Apify Search Ranking
β Bulk Restaurant URL Support
β Automatic Review URL Handling
β Rich Review Metadata
β Reviewer Information
β Ratings & Customer Experience
β Likes & Comments
β Review Photos
β Restaurant Management Responses
β Structured Export-Ready Datasets
β Enterprise-Ready Scalability
πΈ Pricing
This scraper runs on a pay-per-result pricing model.
You only pay for successfully extracted reviews.
π³ Price: $1.99 / 1,000 results
β FAQ
Can I scrape multiple Zomato restaurants?
Yes.
Bulk restaurant URL mode is fully supported.
Do I need to provide the /reviews URL?
No.
You can provide the normal Zomato restaurant page URL.
The scraper automatically handles the review section.
Which URLs are supported?
Public Zomato restaurant URLs such as:
- Restaurant pages
- Restaurant review pages
- Mumbai restaurants
- Delhi restaurants
- Bangalore restaurants
- Hyderabad restaurants
- Pune restaurants
- Chennai restaurants
- Other supported Zomato locations
Can I scrape thousands of reviews?
Yes.
Increase maxitems and add as many restaurant URLs as needed.
Are Residential proxies recommended?
Yes.
Indian Residential proxies are recommended for the best scraping reliability on Zomato.
Is coding required?
No.
Everything runs directly on Apify.
Can I export the data?
Yes.
Supports JSON, CSV, Excel, XML, HTML and RSS.
β οΈ Disclaimer
This tool is an independent data extraction solution and is not affiliated with Zomato.
It is intended to collect publicly available information.
Users are responsible for complying with Zomato's Terms of Service and all applicable laws.
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π PrimeScrape Ecosystem
Built for large-scale data extraction, automation, AI datasets, and business intelligence.
π½οΈ Restaurant Intelligence
β Review Analytics
π¬ Customer Sentiment
π Hospitality Research
π Market Intelligence
π€ AI Training Datasets
βοΈ Automation Pipelines
π Public Data Extraction
π¬ Support
βββββ
If this scraper saves you time, please leave a review.
For enterprise scraping solutions, custom Apify Actors, or large-scale restaurant review scraping projects, feel free to contact PrimeScrape.