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Web Scraping Services: 3 Important Advantages

Web Scraping Services: 3 Important Advantages

If you want your online business to succeed, you need to keep up with your industry. You have to be aware of your competitors’ strategies, your customers’ demands and the latest trends. This means you need to have up-to-date information on what products your customers are ordering, how much your competitors are charging, what discounts are being offered, what kind of services are in demand and other information related to your industry. All this is data – which you have to collect if you want to succeed. There are two ways you can collect data regarding your industry. One way (the traditional way) is to hire researchers, ask them to analyze your industry on the internet, build a spreadsheet and wait days, weeks and even months to get the data you want – after spending thousands of dollars. But, a better, more modern way to collect this data is through web scraping services. These services, provided by web scraping companies, crawl the web and can gather the exact data you want at lightning fast speeds. Many top companies in the world use data scraping services in one form or the other to get data on their customers, competitors and their industry as a whole. Why? Because web scraping services offer many features and advantages when it comes to data collection. In this article, we’ll show you three of the biggest advantages you’ll get if you collect data for your business using web crawling services. Web Scraping Services Do The Work For You There are three big challenges when it comes to collecting data: Cost of Collected Data Efficiency of...
Essentials of Data Visualization and Data Scraping

Essentials of Data Visualization and Data Scraping

There’s data, there’s information, and then there’s knowledge. Knowledge, or insight, is where we make sense out of and organize information that we have pieced together from what was just random, unstructured and otherwise useless data. Data visualization is how we describe this process by presenting data in a visual representation somewhat more advanced than simple spreadsheets, such as interactive infographics, maps, graphs and charts, making the data analysis process considerably easier. This allows for complex data groupings or concepts like patterns and relative connotations to be quickly digested. In this way, decision makers can have easier time pinpointing things which might benefit by an attention aimed at amendment,  identify elements impacting consumer behaviors, determine more efficient product positioning strategies, and forecast potential gross sales revenues. The way this process benefits companies is that big data analyses can allow for identification of new avenues for generating revenue, more effective and targeted marketing campaigns, improved customer service, better organizational efficiency, and, potentially, a competitive edge over contenders in the marketplace. The Big Data Analytical Process Data visualization is the step in the big data analysis process wherein data has been gathered, usually a whole lot of it, in a process called data scraping, where web crawler bots scrape data from websites from a large variety of sources for a specific project, filtered, analyzed, and aggregated for interpretation. Once data has been scraped from a website, it is warehoused until it can be sorted through, filtered, and analyzed. At this point the role of quality data management systems becomes critical in the analytical process. Data to be warehoused then needs be...