Zomato Reviews Scraper

Note: This scraper extracts restaurant reviews and information from Zomato.com

Input Parameters

Parameter	Type	Required	Default	Description
restaurantUrls	Array	Yes	-	List of Zomato restaurant URLs to scrape reviews from
maxReviewsPerRestaurant	Integer	No	10	Maximum number of reviews to scrape per restaurant
headless	Boolean	No	false	Run browser in headless mode (no visible UI)
cookies	Array	No	null	Optional: Authentication cookies from a logged-in Zomato session. If not provided, will try to load from COOKIES.json file. See Cookie Configuration below

Input Schema Example

{
  "restaurantUrls": [
    "https://www.zomato.com/chennai/pizza-hut-nungambakkam",
    "https://www.zomato.com/chennai/kfc-nungambakkam"
  ],
  "maxReviewsPerRestaurant": 10,
  "headless": false
}

Cookie Configuration

For accessing protected or authenticated content, you can provide cookies in two ways:

Via Input Parameter (Recommended for Apify Platform)

Add the cookies array to your input JSON:

{
  "restaurantUrls": ["https://www.zomato.com/chennai/pizza-hut-nungambakkam"],
  "maxReviewsPerRestaurant": 10,
  "cookies": [
    {
      "name": "csrf",
      "value": "your_csrf_token_here",
      "domain": ".zomato.com",
      "path": "/",
      "secure": true,
      "httpOnly": false,
      "expirationDate": 1760425879
    },
    {
      "name": "zat",
      "value": "your_auth_token_here",
      "domain": ".zomato.com",
      "path": "/",
      "secure": true,
      "httpOnly": true,
      "expirationDate": 1791875478
    }
  ]
}

Required cookie properties:

• name (string): Cookie name
• value (string): Cookie value
• domain (string): Cookie domain (e.g., ".zomato.com")

Optional cookie properties:

• path (string): Cookie path (default: "/")
• expirationDate (number): Unix timestamp in seconds
• httpOnly (boolean): HTTP only flag
• secure (boolean): Secure flag
• sameSite (string): SameSite attribute

How to get cookies:

Method 1: Using Chrome Extension (Easiest):

1. Install the Get cookies.txt LOCALLY extension
2. Log in to Zomato in your browser
3. Visit any Zomato page (e.g., https://www.zomato.com)
4. Click the extension icon and select "Export As → JSON"
5. Copy the JSON array and use it directly in the cookies input parameter or save as COOKIES.json

Method 2: Manual Extraction:

1. Log in to Zomato in your browser
2. Open Developer Tools (F12)
3. Go to Application/Storage → Cookies → https://www.zomato.com
4. Copy the cookie values (especially csrf, zat, PHPSESSID, _abck)
5. Format them according to the schema above

Important cookies for authentication:

• csrf - CSRF protection token (required for API requests)
• zat - Zomato authentication token (primary auth)
• PHPSESSID - PHP session ID
• _abck - Anti-bot cookie
• zhli - Login indicator

Note: The scraper automatically:

• Filters out expired cookies
• Extracts fresh cookies from the browser session
• Adds required headers like CSRF token for API requests

Output Schema

The scraper outputs comprehensive review objects extracted from Zomato restaurant pages. Each review contains detailed information about the restaurant, reviewer details, ratings, engagement metrics, and metadata.

Review Fields

Field	Title	Type	Description
reviewId	Review ID	Integer	Unique identifier for the review
status	Review Status	String	Status of the review (success, etc.)
reviewText	Review Text	String	Full text content of the review
reviewTextShort	Short Review Text	String	Shortened version of the review text
reviewDate	Review Date	String	Formatted date when review was posted
experienceType	Experience Type	String	Type of dining experience (dining, delivery, etc.)
rating	Rating Value	Number	Numeric rating value (1-5 stars)
ratingLabel	Rating Label	String	Text label for the rating (Poor, Average, Good, etc.)
ratingColorHex	Rating Color	String	Hex color code for rating display
ratingColorTheme	Rating Theme	String	Color theme for rating (yellow-400, etc.)
ratingText	Rating Context	String	Rating context text
reviewerName	Reviewer Name	String	Name or username of the reviewer
reviewerId	Reviewer ID	Integer	Unique identifier for the reviewer
reviewerProfileUrl	Reviewer Profile URL	String	URL to the reviewer's profile
reviewerProfilePic	Reviewer Profile Picture	String	URL to the reviewer's profile picture
reviewerFollowersCount	Reviewer Followers	Integer	Number of followers the reviewer has
reviewerReviewsCount	Reviewer Review Count	Integer	Number of reviews the user has posted
reviewerIsFollowed	Is Followed	Boolean	Whether the current user follows this reviewer
positiveTags	Positive Tags	Array	Array of positive sentiment tags
negativeTags	Negative Tags	Array	Array of negative sentiment tags
likeCount	Like Count	Integer	Number of likes the review has received
isLikedByUser	Liked by User	Boolean	Whether the current user liked this review
commentCount	Comment Count	Integer	Number of comments on this review
isEditable	Is Editable	Boolean	Whether the review can be edited
comments	Comments	Array	Array of user comments on the review
managementComments	Management Comments	Array	Array of management responses to the review
hasMoreComments	Has More Comments	Boolean	Whether there are more comments to load
reviewPhotos	Review Photos	Array	Array of photo URLs attached to the review
externalUrl	External URL	String	External URL if review is shared from another platform
externalHost	External Host	String	External platform host name
externalHostText	External Host Text	String	External platform display text
reviewUrl	Review URL	String	Direct URL to this specific review
backgroundColorType	Background Color Type	String	Background color type for UI display
backgroundColorTint	Background Color Tint	String	Background color tint/shade
restaurantUrl	Restaurant URL	String	URL of the restaurant being reviewed
resId	Restaurant ID	Integer	Zomato's internal restaurant identifier
scrapedAt	Scraped At	String	ISO timestamp when the data was scraped
source	Source	String	Source of the data (zomato)

Review Example

{
  "review_id": 196274,
  "status": "success",
  "message": "",
  "review_url": "https://www.zoma.to/nGxll",
  "review_text": "The food is traditional and decent. Milieu is identically the same as anyother Dindigul Thalapakkati outlet. But. BUT! I had experienced bad customer service not once but twice here (maybe it is my conjecture and i don't unquestionably contradict with anyone else' certainty). The pricing is a bit high too. Nevertheless, it will be a pretty modest place for a family weekend dinner. :)",
  "review_text_short": "",
  "date": "May 12, 2013",
  "experience_type": "dining",
  "rating_value": 3,
  "rating_label": "Average",
  "rating_color_hex": "#cdd614",
  "rating_color_theme": "yellow-400",
  "rating_text": "DINING",
  "user_id": 215642,
  "user_name": "Raja",
  "user_profile_url": "https://www.zomato.com/users/raja-215642",
  "user_profile_pic": "https://b.zmtcdn.com/data/user_profile_pictures/ba6/a15fdca76bd30fbade289985eb3bdba6.jpg?fit=around%7C100%3A100&crop=100%3A100%3B%2A%2C%2A",
  "user_placeholder_pic": "https://b.zmtcdn.com/images/placeholder_200.png",
  "user_followers_count": 114,
  "user_reviews_count": 0,
  "user_is_followed": false,
  "positive_tags": [],
  "negative_tags": [],
  "like_count": 0,
  "is_liked_by_user": false,
  "comment_count": 0,
  "comments": [],
  "management_comments": [],
  "has_more_comments": false,
  "review_photos": [],
  "external_url": "",
  "external_host": "",
  "external_host_text": "",
  "is_editable": false,
  "urbanspoon_status": 0,
  "new_rating_color": "#1C1C1C",
  "background_color_type": "yellow",
  "background_color_tint": "400",
  "restaurantUrl": "https://www.zomato.com/chennai/dindigul-thalappakatti-since-1957-ramapuram/order",
  "resId": 67547,
  "scrapedAt": "2025-10-11T16:59:11.958Z",
  "source": "zomato"
}

Data Visualization

The scraper includes a comprehensive view template (.actor/view_template.html) that provides:

Features

• Review Cards: Clean, organized display of each review
• User Information: Reviewer profiles with follower counts and review statistics
• Rating Display: Visual rating indicators with color coding
• Photo Gallery: Grid display of review photos
• Tag System: Positive and negative sentiment tags
• Engagement Metrics: Likes, comments, and interaction data
• Restaurant Context: Restaurant information and scraping metadata

Usage

The view template automatically formats your scraped data into a user-friendly interface when viewing results in the Apify console.

Support

For issues and questions:

• Review the Apify Actor logs in the platform
• Ensure restaurant URLs are valid Zomato restaurant pages
• Check that restaurant pages are accessible and not restricted
• Verify that maxReviewsPerRestaurant is set to a reasonable number (recommended: 10-50)
• The scraper uses browser automation to extract data - ensure sufficient system resources
• For authentication issues, the scraper may need Zomato API credentials
• Email : lakshmanan.w3dev@gmail.com

Proxy Configuration

Important: Configure the proxy settings based on your location for optimal performance:

India (IN)

{
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"],
    "apifyProxyCountry": "IN"
  }
}

United States (US)

{
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"],
    "apifyProxyCountry": "US"
  }
}

United Kingdom (UK)

{
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"],
    "apifyProxyCountry": "GB"
  }
}

Other Countries

Replace "IN", "US", or "GB" with the appropriate ISO 3166-1 alpha-2 country code for your location. Common codes include:

• CA - Canada
• AU - Australia
• DE - Germany
• FR - France
• JP - Japan
• SG - Singapore

Note: Using a proxy from your geographic region helps avoid Zomato's regional restrictions and improves scraping success rates.

Data Format Notes

• All timestamps are in ISO 8601 format
• Rating values are numeric (1-5 scale)
• User information includes profile data and statistics
• Tags are extracted and categorized as positive/negative sentiment
• Photo URLs and external links are preserved when available

Why Use This Scraper?

• Comprehensive Data: Extract detailed reviews with ratings, text, and user info
• Sentiment Analysis: Tags categorized as positive/negative for easy analysis
• Photo Support: Extract review photos and restaurant images
• Cookie Auth: Support for authenticated sessions to access more data
• Easy Export: Download data in JSON, CSV, or Excel format

Use Cases

• Restaurant Research: Analyze customer feedback and ratings
• Competitive Analysis: Compare reviews across restaurants
• Market Research: Study dining trends and customer preferences
• Quality Monitoring: Track restaurant performance over time
• Location Intelligence: Gather data for restaurant analytics

Custom Solutions

Need a custom scraper or dedicated server setup? We offer:

• On-demand scraper development for any website
• Individual server setups with your own infrastructure
• Custom modifications to existing scrapers
• Priority support and maintenance

📧 Email: lakshmanan.w3dev@gmail.com
📱 WhatsApp: +91 6382775774