City-Based Zomato and Swiggy Scraping API: Fueling Food Delivery Intelligence

This case study highlights how City-Based Zomato and Swiggy Scraping API from iWeb Data Scraping helped fuel real-time food delivery intelligence for hyperlocal decision-making. In the fast-evolving food delivery market, access to real-time competitor data has become crucial for restaurants, cloud kitchens, and food tech platforms. iWeb Data Scraping offers a robust web scraping API tailored specifically to Extract Zomato Food Delivery Data and provide Swiggy Food Data Scraping Services on a city-wise basis. This includes menu prices, discounts, offers, ratings, delivery charges, and popular items.

The Client

A Multi-City QSR Chain Operating Across Indian Metro Cities.

iWeb Data Scraping Offerings: Use data crawling services to Extract City-Based Zomato and Swiggy Restaurant Data.

Client's Challenge:

Why City-Based Scraping Matters ?

Restaurants operate in hyperlocal environments. Pricing, delivery charges, and promotions on platforms like Swiggy and Zomato can vary drastically from Bengaluru to Mumbai or Delhi. A static national view isn't enough — stakeholders need location-specific data to make impactful business decisions. This is where Food Delivery Data Extraction Services become essential, providing granular insights that empower businesses to adapt strategies based on city-level dynamics.

Our Solutions: City-Wise Food Delivery Data Scraping

Key Features of the iWeb Data Scraping API

City Parameter Support: Input any city like ?city=Delhi or ?city=Ahmedabad to get hyperlocal data.
Menu Item Extraction: Product names, base prices, variations, and availability.
Promotions Scraping: Detects ongoing discounts, free delivery offers, combo deals.
Delivery Fee Tracking: Charges vary per city, time, and distance — we capture it all.
Ratings & Reviews: Monitor consumer sentiment on a per-restaurant basis.
Frequency Control: Get hourly, daily, or weekly updates based on your operational needs.

Web Scraping Advantages

Business Benefits

Price Benchmarking
Compare your SKUs across competitors within the same locality.
Promotion Intelligence
Track platform-exclusive campaigns and align your marketing accordingly.
New Market Entry Research
Assess pricing trends and food popularity before launching in a new city.
User Experience Optimization
Adapt your pricing and offers to local buyer behavior revealed through scraping insights.
- Compatible Use Cases: Restaurant aggregators,Food delivery pricing dashboards, Hyperlocal marketing agencies, Investor intelligence tools Multi-city restaurant operators,

Final outcome

The City-Based Zomato and Swiggy Scraping API enabled the client to gain real-time visibility into localized food delivery data. By accessing city-specific insights, they could optimize pricing strategies, track promotional campaigns, and tailor their offerings to each market’s dynamics. The client successfully leveraged iWeb Data Scraping’s API and Food Delivery Data Intelligence Services to make data-driven decisions, enhance customer experience, and remain competitive in a highly localized market.

Client Testimonial

"iWeb’s city-based scraping API gave us a clear edge in understanding local food delivery trends. The ability to monitor competitor pricing and promotions across regions has helped us localize our strategies better than ever. It’s fast, accurate, and seamlessly fits into our existing workflows — exactly what we needed."

— Head of Strategy, UrbanEats QSR Group

Source>> https://www.iwebdatascraping.com/city-based-zomato-swiggy-scraping-api.php