Zomato Reviews Scraper

Scrapes restaurant reviews and information from Zomato.com. Useful for gathering customer feedback, ratings, and restaurant details for analysis or lead generation.

Key Features

• Extracts detailed reviews from one or multiple Zomato restaurant URLs.
• Configurable limit for the number of reviews scraped per restaurant.
• Supports optional authentication via cookies to access logged-in user content.
• Runs in both headless (invisible) and headed browser modes.
• Outputs structured data including review text, ratings, reviewer details, and timestamps.

How to Use

Provide input via a JSON object. The actor requires a list of restaurant URLs and accepts optional parameters for control.

Input Parameters

Example Input

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

Authentication (Cookies)

To scrape content that requires login (like user-specific data), provide session cookies.

Recommended Method: Use a browser extension like Get cookies.txt LOCALLY to export your logged-in Zomato cookies as JSON. Paste this array into the cookies input parameter.

Key cookies for auth: csrf, zat, PHPSESSID, _abck.

Example Cookie Input

{
  "restaurantUrls": ["https://www.zomato.com/chennai/pizza-hut-nungambakkam"],
  "cookies": [
    {
      "name": "csrf",
      "value": "your_token_here",
      "domain": ".zomato.com"
    },
    {
      "name": "zat",
      "value": "your_auth_token_here",
      "domain": ".zomato.com"
    }
  ]
}

Output

The actor outputs a dataset where each item is a structured review object. Key fields include:

• Review Data: reviewId, reviewText, reviewDate, rating.
• Reviewer Info: reviewerName, reviewerProfileUrl, reviewerFoodieLevel.
• Restaurant Info: restaurantName, restaurantUrl, restaurantLocation.
• Metadata: scrapedAt (timestamp), status.

Output is available in JSON, CSV, and other formats via the Apify platform.