Hyperlocal Intelligence

Scrape Zomato
Restaurant Data

Extract menus, dynamic pricing, user ratings, and restaurant contact details. Monitor delivery trends across 10,000+ locations in real-time.

Zomato data extraction dashboard

Extractable Restaurant Attributes

🍴
Menu Items & Pricing
User Reviews & Photos
📍
Geo-Location & Address
🕒
Opening & Closing Hours
🛵
Est. Delivery Time
📞
Restaurant Contact Info

Zomato JSON Payload

restaurant_profile.json
{
  "res_id": 189234,
  "name": "The Gourmet Kitchen",
  "cuisine": ["Italian", "Continental"],
  "avg_rating": 4.2,
  "cost_for_two": 1200,
  "delivery_active": true,
  "location": {
    "lat": 28.6139,
    "lon": 77.2090
  }
}

Zomato Intelligence Fields

📋
Full Menu Hierarchies
🏷️
Promo Codes & Discounts
🏙️
Area-wise Availability
📸
User-Generated Photos
💬
Review Sentiment Analysis
🍱
Packaging & Delivery Charges

Zomato Scraping FAQ

Can you scrape data based on specific GPS coordinates?

Yes. Our Zomato scraper supports Geo-targeting. By providing specific Latitude and Longitude coordinates, we can extract restaurant lists and delivery estimates as they appear to users in that exact micro-location.

How do you handle frequently changing menu prices?

Zomato menus are dynamic. We offer high-frequency polling (up to every 15 minutes) to track lightning deals, price fluctuations, and “Out of Stock” menu items in real-time.

Does the scraper capture “Zomato Gold” or “Zomato Carnival” pricing?

Absolutely. We can extract special loyalty pricing and promotional banners to help you analyze competitor discounting strategies and membership-only offers.

Is it possible to extract reviewer profiles?

We can extract anonymized reviewer data, including their “Foodie Level,” total reviews, and follower count, which is essential for identifying top influencers in specific cities.