Author: iwebdatascraping1

Gain a competitive edge with our Swiggy Food Delivery App datasets. Businesses can scrape Swiggy food data by utilizing these datasets to uncover valuable insights into consumer preferences, popular cuisines,... Read More

A major retail analytics client approached us to enhance their pricing intelligence using Revolutionizing Grocery Pricing Strategies across key regions like India and the US. Their internal teams struggled to... Read More

India’s festive season—from the sparkling lights of Diwali to the joy of Christmas—sparks a sharp rise in food delivery demand. During this time, Zomato and Swiggy fiercely compete by launching... Read More

This case study highlights our successful implementation of Emag regional product availability trends data scraping to support a client's market intelligence goals. The client, an international consumer electronics brand, wanted... Read More

Scrape Vacation Rental Trends Data in Europe

In today's digitally connected travel landscape, the short-term rental market in Europe is undergoing rapid changes. From urban apartments in Paris to scenic cottages in Tuscany, platforms like Airbnb and... Read More

In a recent case study, we partnered with a UAE-based travel aggregator aiming to improve pricing accuracy and competitiveness. Our solution was designed to Extract Real-Time Hotel and Flight Price... Read More

In a recent case study, we partnered with a leading food aggregator seeking detailed comparisons between burger and sandwich offerings across major fast-food chains. The client required granular menu data,... Read More

In the ever-evolving world of online retail, staying updated with product pricing is crucial for both consumers and competitors. Scraping Wayfair Product Data for Real-Time Price Tracking enables businesses to... Read More

Pizza has long been an American favorite, transcending regional tastes and preferences. From deep-dish in Chicago to thin crust in New York, the love for pizza is diverse and passionate.... Read More

This case study highlights how we successfully Scrape Fall Food Preferences from Uber Eats & DoorDash USA to uncover regional and seasonal eating patterns. Our team deployed targeted scraping bots... Read More