Introducing our Swiggy Food Data Scraping Services, specially designed to offer in-depth insights into the food delivery landscape from Swiggy. Our service extracts comprehensive information, including restaurant locations, cuisine types,... Read More
Author: iwebdatascraping1
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,... Read More
This case study highlights our successful efforts to Extract Real Estate and Lender Data from Zillow and Angi for a client specializing in property investment and mortgage analytics. The client... Read More
In today's data-driven food industry, understanding the range of cuisines offered by food delivery platforms has become vital for both analysts and entrepreneurs. One emerging strategy to achieve this is... Read More
This case study showcases how iWeb Data Scraping empowered a global FMCG brand in Singapore to regain its competitive edge in the Q-commerce space by monitoring prices on RedMart and... Read More
In the age of digital food delivery, platforms like UberEats are not only changing how customers order meals but also how restaurants gather intelligence. With millions of users engaging daily... Read More
Introducing our Uber Eats Food Data Scraping Services, specially designed to offer in-depth insights into the food delivery landscape from Uber Eats. Our service extracts comprehensive information, including restaurant locations,... Read More
In the hyper-competitive Q-commerce ecosystem of the UAE, real-time visibility into stock levels has become as crucial as competitive pricing. Major players like Talabat Mart and Carrefour UAE are central... Read More
This case study highlights how iWeb Data Scraping leveraged Q-commerce API scraping in India to assist a top FMCG conglomerate in tracking grocery prices at the pin code level. By... Read More