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Food & Restaurant

In the midst of the COVID-19 crisis, restaurants are trying to stay in business, and restaurant-goers are trying to save their favorite local spots. Living in New York, there are seemingly infinite options of bars, restaurants, and cafes to support. It is almost impossible to walk around a trendy neighborhood without seeing lines for certain popular restaurants growing while neighboring establishments struggle to stay in business. Whether by creating “Insta-worthy” meals or the perfect outdoor seating arrangements, restaurants must use their imagination to strive in such a competitive industry.

 

Thankfully, restaurants and customers have more data than ever before to help them make the best decisions. With web scraping, restaurants can discreetly scope out the competition, identify restaurant industry trends, and make the best menu and setting choices to stand out amongst the crowd. Customers can use web scraping to compare prices, reviews, and find great local spots to support!

 

If you already know the basics of big data and web scraping, use the table of contents below to navigate the article and find how to use this data to help your restaurant.

 

Many industries, especially the restaurant industry, were changed by big data. Big data is a term that applies to data sets too large and varied to be understood and organized by basic programming tools. Before big data, restaurants served people on-site or offered delivery by calling in an order. With delivery apps, customers can more easily personalize their orders by leaving special notes and adding extras to their meals. More and more restaurants use table-side tablets to help the customization and payment process. This new technology allows restaurants to compile data and create customer profiles like never before. It is now easier to see what people order the most, how they customize it, and their payment preferences. For example, if you see that most people order chips on the side when they order tacos, you can then think about bundling the two into a value meal instead of selling them separately. Additionally, most apps and payment tablets give you the ability to give feedback right away, making it easier for restaurants to receive ratings and reviews in one place.

 

Because the restaurant industry is highly competitive, it is hard to stand out (especially in big cities) unless you are offering something new and unique. Thankfully, big data helps restaurants better understand competition and customer desires. With the popularity of review sites and delivery apps, it is easier than ever for restaurants to analyze their most popular menu items, grow their customer base, and get immediate service feedback. Here are some more ways to use scraping to grow your business.

Food and restaurant Assortment

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