Zomato Scraper Use Cases
Menu Trends
Analyze popular menu items by extracting Zomato data to adjust offerings based on customer preferences.
Competitor Pricing
Gain pricing insights by scraping competitor restaurant prices to optimize your own pricing strategy.
Location Performance
Evaluate restaurant performance across various locations to identify areas for strategic expansion.
Customer Feedback
Improve service quality by analyzing restaurant reviews and ratings to address customer concerns effectively.
Highly rated by the world's leading review platforms
Sample Dataset
Sample Data
Download
[
{
"restaurant_id": "10123",
"restaurant_name": "Spice Route",
"city": "New Delhi",
"locality": "Connaught Place",
"cuisine_types": ["North Indian", "Mughlai"],
"aggregate_rating": 4.5,
"rating_count": 12400,
"avg_cost_for_two": 2500,
"online_delivery": "No",
"table_booking": "Yes",
"restaurant_type": "Fine Dining",
"contact_number": "+91 1123456789"
},
{
"restaurant_id": "10124",
"restaurant_name": "The Waffle House",
"city": "Mumbai",
"locality": "Bandra West",
"cuisine_types": ["Dessert", "Waffle", "Cafe"],
"aggregate_rating": 3.9,
"rating_count": 6100,
"avg_cost_for_two": 700,
"online_delivery": "Yes",
"table_booking": "No",
"restaurant_type": "Dessert Parlour",
"contact_number": "+91 2298765432"
},
{
"restaurant_id": "10125",
"restaurant_name": "Pizza Hub",
"city": "Bengaluru",
"locality": "Koramangala",
"cuisine_types": ["Pizza", "Italian", "Fast Food"],
"aggregate_rating": 4.1,
"rating_count": 9850,
"avg_cost_for_two": 1100,
"online_delivery": "Yes",
"table_booking": "No",
"restaurant_type": "Quick Bites",
"contact_number": "+91 8055551212"
},
{
"restaurant_id": "10126",
"restaurant_name": "Noodle Bar",
"city": "Kolkata",
"locality": "Park Street Area",
"cuisine_types": ["Chinese", "Thai", "Asian"],
"aggregate_rating": 4.3,
"rating_count": 7220,
"avg_cost_for_two": 1500,
"online_delivery": "Yes",
"table_booking": "Yes",
"restaurant_type": "Casual Dining",
"contact_number": "+91 3340001000"
},
{
"restaurant_id": "10127",
"restaurant_name": "Green Leaf Cafe",
"city": "Chennai",
"locality": "T. Nagar",
"cuisine_types": ["Healthy Food", "Continental"],
"aggregate_rating": 3.7,
"rating_count": 3580,
"avg_cost_for_two": 800,
"online_delivery": "Yes",
"table_booking": "No",
"restaurant_type": "Cafe",
"contact_number": "+91 4424681357"
},
{
"restaurant_id": "10128",
"restaurant_name": "Biryani Junction",
"city": "Hyderabad",
"locality": "Jubilee Hills",
"cuisine_types": ["Biryani", "South Indian"],
"aggregate_rating": 4.0,
"rating_count": 15900,
"avg_cost_for_two": 500,
"online_delivery": "Yes",
"table_booking": "No",
"restaurant_type": "Delivery",
"contact_number": "+91 4088889999"
},
{
"restaurant_id": "10129",
"restaurant_name": "Dhaba Delight",
"city": "Pune",
"locality": "Koregaon Park",
"cuisine_types": ["North Indian", "Punjabi"],
"aggregate_rating": 4.2,
"rating_count": 4910,
"avg_cost_for_two": 1200,
"online_delivery": "Yes",
"table_booking": "Yes",
"restaurant_type": "Casual Dining",
"contact_number": "+91 2011223344"
},
{
"restaurant_id": "10130",
"restaurant_name": "Sushi Spot",
"city": "Mumbai",
"locality": "Lower Parel",
"cuisine_types": ["Japanese", "Sushi"],
"aggregate_rating": 4.6,
"rating_count": 5530,
"avg_cost_for_two": 3000,
"online_delivery": "No",
"table_booking": "Yes",
"restaurant_type": "Fine Dining",
"contact_number": "+91 2277665544"
},
{
"restaurant_id": "10131",
"restaurant_name": "Mom's Kitchen",
"city": "New Delhi",
"locality": "Dwarka",
"cuisine_types": ["Homely", "Indian", "Thali"],
"aggregate_rating": 3.5,
"rating_count": 1250,
"avg_cost_for_two": 400,
"online_delivery": "Yes",
"table_booking": "No",
"restaurant_type": "Mess",
"contact_number": "+91 1199887766"
},
{
"restaurant_id": "10132",
"restaurant_name": "The Pub Life",
"city": "Bengaluru",
"locality": "Indiranagar",
"cuisine_types": ["Pub", "Bar", "Finger Food"],
"aggregate_rating": 4.4,
"rating_count": 8890,
"avg_cost_for_two": 1800,
"online_delivery": "No",
"table_booking": "Yes",
"restaurant_type": "Lounge/Bar",
"contact_number": "+91 8010203040"
}
]| Restaurant ID | Name | City | Locality | Cuisine Types | Aggregate Rating | Rating Count | Avg. Cost for Two (₹) | Online Delivery | Table Booking | Restaurant Type | Contact No. |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 10123 | Spice Route | New Delhi | Connaught Place | North Indian, Mughlai | 4.5 | 12400 | 2500 | No | Yes | Fine Dining | +91 1123456789 |
| 10124 | The Waffle House | Mumbai | Bandra West | Dessert, Waffle, Cafe | 3.9 | 6100 | 700 | Yes | No | Dessert Parlour | +91 2298765432 |
| 10125 | Pizza Hub | Bengaluru | Koramangala | Pizza, Italian, Fast Food | 4.1 | 9850 | 1100 | Yes | No | Quick Bites | +91 8055551212 |
| 10126 | Noodle Bar | Kolkata | Park Street Area | Chinese, Thai, Asian | 4.3 | 7220 | 1500 | Yes | Yes | Casual Dining | +91 3340001000 |
| 10127 | Green Leaf Cafe | Chennai | T. Nagar | Healthy Food, Continental | 3.7 | 3580 | 800 | Yes | No | Cafe | +91 4424681357 |
| 10128 | Biryani Junction | Hyderabad | Jubilee Hills | Biryani, South Indian | 4 | 15900 | 500 | Yes | No | Delivery | +91 4088889999 |
| 10129 | Dhaba Delight | Pune | Koregaon Park | North Indian, Punjabi | 4.2 | 4910 | 1200 | Yes | Yes | Casual Dining | +91 2011223344 |
| 10130 | Sushi Spot | Mumbai | Lower Parel | Japanese, Sushi | 4.6 | 5530 | 3000 | No | Yes | Fine Dining | +91 2277665544 |
| 10131 | Mom's Kitchen | New Delhi | Dwarka | Homely, Indian, Thali | 3.5 | 1250 | 400 | Yes | No | Mess | +91 1199887766 |
| 10132 | The Pub Life | Bengaluru | Indiranagar | Pub, Bar, Finger Food | 4.4 | 8890 | 1800 | No | Yes | Lounge/Bar | +91 8010203040 |
Access web data at scale to make or break your business
Get high-priority web data for your business, when you want it.
Customized Scrapers tailored to your unique requirements
Zero Coding
Rely on the automated process, eliminating the coding on your part.
Seamless Integration
Automated data crawls and delivery integrations for a smooth and seamless integration experience.
Top Quality Assurance
Continuous monitoring of data quality by a robust QA infrastructure to ensure accuracy and reliability.
Easy Large Scale
Access vast amounts of data from multiple sources in an organized and readable structure; XLs, CSV, JSON.
Defying Constraints
Websites often use anti-bot measures, but we navigate through them to provide you with top-quality data.
Streamlined Collaboration
Our platform enhances teamwork for both on-site and remote teams, fostering seamless communication on progress and data initiatives.
Put an end to your web scraping woes
With more than 12 years of dedicated service to enterprises’ data sourcing needs, we have the proficiency to adeptly collect and deliver top-tier web data.
Empower your business with data-driven decisions. Whether you’re a startup or a large international enterprise, our services can assist you in:
- Scaling your capacity to meet growing demands
- Automating labor-intensive workflows
- Optimizing your current data collection systems for improved ROI
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Most inquired questions
Can I extract restaurant menus from Zomato using Grepsr?
Yes, Grepsr can help you extract detailed restaurant menus, including prices and item descriptions, from Zomato.
How frequently can I schedule data extractions from Zomato with Grepsr?
You can schedule extractions at various intervals, such as daily, weekly, or monthly, to fit your needs.
Will the extracted Zomato data include customer reviews and ratings?
Yes, Grepsr can extract customer reviews and ratings, providing insights into user opinions and satisfaction.
Is the data extraction service compliant with Zomato's terms of use?
Grepsr ensures compliance with Zomato’s terms and regulations to maintain ethical data practices.
How can I access the extracted data from Zomato?
Extracted data can be accessed through formats like CSV, Excel, or integrated directly into your existing systems via APIs.
