Swiggy Scraper Use Cases
Menu Optimization
Enhance your restaurant’s appeal by analyzing competitors' menu offerings and pricing on Swiggy.
Delivery Efficiency
Improve delivery times by extracting and analyzing data on popular peak order hours and locations.
Customer Preferences
Tailor promotions and services by understanding trends in customer preferences and popular dishes.
Market Expansion
Identify top-performing areas for new outlet openings by analyzing regional demand patterns on Swiggy.
Highly rated by the world's leading review platforms
Sample Dataset
Sample Data
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[
{"Order_ID":"SW101","Restaurant_Name":"Pizza Hut","Dish_Name":"Margherita Pizza","City":"Bangalore","Order_Date":"2025-11-10","Price_INR":350,"Quantity":1,"Cuisine":"Italian","Delivery_Time_Min":30,"Rating_5":4.5,"Status":"Delivered"},
{"Order_ID":"SW102","Restaurant_Name":"Biryani Blues","Dish_Name":"Chicken Biryani","City":"Hyderabad","Order_Date":"2025-11-09","Price_INR":250,"Quantity":2,"Cuisine":"Indian","Delivery_Time_Min":40,"Rating_5":4.6,"Status":"Delivered"},
{"Order_ID":"SW103","Restaurant_Name":"Faasos","Dish_Name":"Paneer Wrap","City":"Pune","Order_Date":"2025-11-08","Price_INR":150,"Quantity":1,"Cuisine":"Fast Food","Delivery_Time_Min":25,"Rating_5":4.2,"Status":"Delivered"},
{"Order_ID":"SW104","Restaurant_Name":"Domino’s Pizza","Dish_Name":"Pepperoni Pizza","City":"Delhi","Order_Date":"2025-11-07","Price_INR":400,"Quantity":1,"Cuisine":"Italian","Delivery_Time_Min":35,"Rating_5":4.4,"Status":"Delivered"},
{"Order_ID":"SW105","Restaurant_Name":"KFC","Dish_Name":"Zinger Burger","City":"Mumbai","Order_Date":"2025-11-06","Price_INR":200,"Quantity":2,"Cuisine":"Fast Food","Delivery_Time_Min":30,"Rating_5":4.3,"Status":"Delivered"},
{"Order_ID":"SW106","Restaurant_Name":"Haldiram’s","Dish_Name":"Samosa Chaat","City":"Kolkata","Order_Date":"2025-11-05","Price_INR":120,"Quantity":3,"Cuisine":"Indian","Delivery_Time_Min":20,"Rating_5":4.1,"Status":"Delivered"},
{"Order_ID":"SW107","Restaurant_Name":"Cafe Coffee Day","Dish_Name":"Cold Coffee","City":"Chennai","Order_Date":"2025-11-04","Price_INR":100,"Quantity":1,"Cuisine":"Beverages","Delivery_Time_Min":15,"Rating_5":4.0,"Status":"Delivered"},
{"Order_ID":"SW108","Restaurant_Name":"Burger King","Dish_Name":"Whopper","City":"Bangalore","Order_Date":"2025-11-03","Price_INR":300,"Quantity":1,"Cuisine":"Fast Food","Delivery_Time_Min":25,"Rating_5":4.2,"Status":"Delivered"},
{"Order_ID":"SW109","Restaurant_Name":"Mainland China","Dish_Name":"Schezwan Noodles","City":"Pune","Order_Date":"2025-11-02","Price_INR":220,"Quantity":2,"Cuisine":"Chinese","Delivery_Time_Min":30,"Rating_5":4.4,"Status":"Delivered"},
{"Order_ID":"SW110","Restaurant_Name":"Subway","Dish_Name":"Veg Sub Sandwich","City":"Hyderabad","Order_Date":"2025-11-01","Price_INR":180,"Quantity":1,"Cuisine":"Fast Food","Delivery_Time_Min":20,"Rating_5":4.3,"Status":"Delivered"}
]
| Order_ID | Restaurant_Name | Dish_Name | City | Order_Date | Price_INR | Quantity | Cuisine | Delivery_Time_Min | Rating_5 | Status |
|---|---|---|---|---|---|---|---|---|---|---|
| SW101 | Pizza Hut | Margherita Pizza | Bangalore | 2025-11-10 | 350 | 1 | Italian | 30 | 4.5 | Delivered |
| SW102 | Biryani Blues | Chicken Biryani | Hyderabad | 2025-11-09 | 250 | 2 | Indian | 40 | 4.6 | Delivered |
| SW103 | Faasos | Paneer Wrap | Pune | 2025-11-08 | 150 | 1 | Fast Food | 25 | 4.2 | Delivered |
| SW104 | Domino’s Pizza | Pepperoni Pizza | Delhi | 2025-11-07 | 400 | 1 | Italian | 35 | 4.4 | Delivered |
| SW105 | KFC | Zinger Burger | Mumbai | 2025-11-06 | 200 | 2 | Fast Food | 30 | 4.3 | Delivered |
| SW106 | Haldiram’s | Samosa Chaat | Kolkata | 2025-11-05 | 120 | 3 | Indian | 20 | 4.1 | Delivered |
| SW107 | Cafe Coffee Day | Cold Coffee | Chennai | 2025-11-04 | 100 | 1 | Beverages | 15 | 4 | Delivered |
| SW108 | Burger King | Whopper | Bangalore | 2025-11-03 | 300 | 1 | Fast Food | 25 | 4.2 | Delivered |
| SW109 | Mainland China | Schezwan Noodles | Pune | 2025-11-02 | 220 | 2 | Chinese | 30 | 4.4 | Delivered |
| SW110 | Subway | Veg Sub Sandwich | Hyderabad | 2025-11-01 | 180 | 1 | Fast Food | 20 | 4.3 | Delivered |
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
How does Grepsr extract data from Swiggy for business use?
Grepsr utilizes web scraping technologies to securely extract data such as menu items, pricing, restaurant details, and customer reviews from Swiggy, which can be used for market analysis and business intelligence.
What types of data can be extracted from Swiggy using Grepsr?
Grepsr can extract various types of data including restaurant names, locations, menu listings, prices, customer ratings, and reviews, all of which can aid in competitive analysis and strategy development.
How often can the Swiggy data be updated using Grepsr?
The frequency of data updates can be customized to meet specific business needs, ranging from daily to weekly intervals, ensuring that users have the latest information at their fingertips.
Is the Swiggy data extraction compliant with legal and ethical standards?
Yes, Grepsr adheres to all legal and ethical guidelines during data extraction processes, ensuring compliance with Swiggy’s terms of use and relevant data protection regulations.
How can businesses gain value from Swiggy data extracted by Grepsr?
Businesses can leverage extracted data for insights into market trends, customer preferences, and competitive positioning, enhancing decision-making and strategic planning.
