Swiggy Data Scraping Services
Our Swiggy data scraping services extract restaurant names, menus, pricing, reviews, delivery fees, store hours and contact info. Ideal for real-time food-delivery insights, competitive analysis, and building market-aware solutions.
Swiggy Food Delivery Data Scraping Services
Nowadays, everyone knows that delivering food is the latest way to get food. Many food delivery apps in the market work like a platform between the customers and restaurants, like Zomato, Uber Eats, FoodPanda, Swiggy, Grubhub, DoorDash, Seamless, Postmates, and many more. Many restaurants have online food delivery applications so that customers can directly order the food without any problem, and they can quickly deliver the food to customers’ doorsteps.
1,50,000+ restaurants work with Swiggy as a partner. The average number of new restaurants added to Swiggy monthly is around 10,000. There are more than 2,50,000 Swiggy delivery partners. Swiggy covers 500+ cities. There are 60,000+ Swiggy deliveries. The Estimated revenue of Swiggy is more than $3.6 billion.
Swiggy Scraping - Scrape Swiggy Food Delivery Data
3i Data Scraping provides the best Swiggy data scraping services. We provide Swiggy Scraping to our consumers with accuracy and on-time delivery. We provide clients with the best Food Delivery apps to get details like product data, prices, quotations, etc. At 3i Data Scraping, we scrape accurate data and offer all the necessary details for the business.

Data Fields Extracted by Swiggy Scraper
At 3i Data Scraping, we can scrape the different data fields from the Swiggy platform:
- Restaurant Name
- Restaurant Location (Address)
- Cuisine Types
- Ratings and Reviews
- Menu Items
- Menu Prices
- Restaurant Contact Information
- Opening Hours
- Delivery Options
- Photos of Dishes
- Average Cost for Two
- Special Offers or Discounts
- User Reviews and Comments
- Reservation Availability
- Restaurant Type (Casual, Fine Dining, etc.)
- User Ratings Breakdown
- Popular Dishes
- Verified Status
- Restaurant Tags (e.g., Vegan, Family-Friendly)
- Location Coordinates (Latitude, Longitude)




