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How Restaurants Use Data Scraping to Create Unique Menus

How Restaurants Use Data Scraping to Create Unique Menus

One of the most competitive industries in the world is the restaurant industry. The competition is so intense, that it’s nearly impossible to create a truly amazing strategy which will differentiate your restaurant from the rest. If you’re not offering a completely new cuisine or a well-known chef, there are little chances of gaining a competitive edge. Offering a new cuisine is pretty hard in big cities because the competition in all industries is full. While hiring an exceptional chef can be extremely expensive, and not all new or old businesses can afford such a luxury. So how can a restaurant company beat its competition and get ahead of the industry? Here again, technology plays an important role. The web is a powerful source of unlimited data, and if used properly, data can help your business in many ways. More specifically, a good load of data can help restaurant win customers and become more competitive. But considering how much data is available all over the Internet, you need to find a way to collect this data in a meaningful way. Data scraping is the best solution for this. We will look at the ways data scraping can help your restaurant business to become more competitive. What is Web Data Scraping? First and foremost, let’s understand what data scraping is and how it can benefit any business. There is so much information available on the web that it’s simply mind-blowing if you think about. About 90% of data in the world has been created over the last two years. Every day, 2.5 quintillion bytes of data is created at the...
What’s So Trendy about Job Scraping?

What’s So Trendy about Job Scraping?

Data scraping, data crawling, data harvesting or data extraction all refer to the process of collecting all kinds of industry or topic-specific data on the web for many sectors including e-commerce, market research, human resources, and real estate. Web scraping is not something new, it has been over for many years. However, the amount of data on the web is increasing at an enormous speed, and many businesses can’t use data harvesting beneficially, as finding the reliable and valuable data can be very time consuming for the company. According to Cisco, global internet traffic stroke 1.1 zettabytes (one zettabyte is equal to 36,000 years of HD videos) at the end of 2016, and the number is estimated to be over 2.3 zettabytes by 2020. A research group IDC predicted that the world will be creating 163 zettabytes (one trillion gigabytes) of data a year by 2025. The amount of data is simply outrageous. That’s why there are currently many web scraping services that can offer you an efficient scraping service. Job scraping is one of the services such companies offer. This service can be very efficient and valuable for many different companies, and this post will tell you why, how and for what job scraping can be used. What is Job Scraping First and foremost, let’s understand what job scraping means. Currently, there are numerous job postings available all over the web, so finding a relevant job that is up-to-date and authentic can be quite time-consuming. With the help of data crawling, the huge amount of job postings will be collected and sorted from all over the web in...
2 Proven Benefits of Data Scraping for Amateur Journalists

2 Proven Benefits of Data Scraping for Amateur Journalists

One of the most interesting areas to develop recently in journalism is data journalism – that is using data to tell stories. Whether it is large data or graphs or info graphs, using it can add life and credibility to your journalistic pieces. Journalism is an extremely data-driven industry. You could be doing research on school food quality or animal rights protection, or trying to unfold the truth about corruption among tax inspectors. Regardless of the topic, any journalist meets the same obstacle – trouble with access to information. How to get the data? This is the question that every amateur journalist asks himself/herself at the start of a project. We present 2 options to do so: Spend many man hours browsing the internet and hand copy-pasting the data needed followed by another chunk of valuable time making sense of the data obtained and trying to save it in the desired format Get the data in the format you need with a web scraper Now you get the picture on why fewer and fewer people choose the first method and turn to data harvesting services or use online tools to do it themselves. Which brings us to our first proven benefit. 1. Being able to save valuable time People, in general, are in a constant struggle to save time, to do things more proactively but faster and when there is an opportunity to do something 10 times more effectively you are going to take it no matter what. When it comes to journalism this couldn’t be any more relevant. The industry is hectic, things, stories change their validity at a heartbeat: if...