Foodspark - Food Data & insights

  The COVID-19 pandemic has severely exaggerated the overall economy of the US, one sector, which flourished was of online food delivery. In the US, this market has grew by over double during this COVID-19 pandemic, succeeding healthy historical growth rate of 8%. Different food delivery apps like Grubhub significantly benefited from augmented home delivery demands due to social distancing standards. This blog will provide you a short-term analysis of the quicker growth of Grubhub. To do this analysis, we have selected cities having maximum Grubhub users’ base (including New York, Chicago, and Boston). We have also related a few of the Grubhub’s insights with its largest competitor, DoorDash. This chart indicates that New York is having maximum number of users with accounting for almost 37% of the total sales. Opposing to that, Miami is having the lowest portion of sales with 7%. We can see that states having higher populations get reasonably higher sales. Major Insights New York is ha

  Ordering online has become an extremely important part of the everyday lives. So, what should we all do if we open an online food delivery app as well as try to decide what to eat tonight? Yes, you are right! We will look at ratings first and then bestsellers or top dishes, might be some latest reviews and done! We will place an order! It is a general process for the  scrape online food delivery app  like ZOMATO. We use Zomato when we wish to discover any restaurants or when we want to order online. Zomato reviews and ratings play an important role in drawing customers. Both restaurant dining and online delivery are heavily predisposed by reviews and ratings of the customers. However, consumer’s perception about ambience, service, and food is also very important as it helps the restaurateurs recognize potential problems and work on that consequently. In this blog, we will take you all the way through the procedure followed before you apply any modelling method. To feed the good data