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Your Guide to Web Scrape Quora Q&As
Q&A sites like Quora are online socialization hubs for digital citizens worldwide to ask, answer, and discuss the most prominent issues, doubts, and topics. Extracting large-scale data from these online Q&A platforms can be useful to marketers and data scientists alike as it’s not only a multilingual Q&A website but also a social network in […]
Read MoreRestaurant Data Scraping – Leveraging Data to Create Restaurant Menu and Drive Growth
The food and beverage industry is brimming with the most untapped potential. To find a ‘clutter breaker’ is near impossible. What will truly differentiate you from the rest? What can truly differentiate you from the rest? Three words. Restaurant menu scraping. You have to be on the constant lookout for what everybody in your league […]
Read MoreWeb Scraping Public Data for the Healthcare Sector
The healthcare market in the United States is enormous; by 2026, national health expenditure is predicted to hit $5.7 trillion. The digital revolution in the healthcare industry is more obvious than ever, due to the rise of telemedicine, AI-enabled medical equipment, and blockchain health records, and other things. Web scraping is a powerful tool for […]
Read MoreScraping the Amazon Data on Large Scale with 100% Accuracy
Are you trying to expand your online presence? Or, are you seeking to enter into a niche market? Do you already have an online store but want to draw more traffic? If the answer to any of these questions is yes, having an Amazon store could be an excellent option for you. Being an Amazon […]
Read MoreHow LinkedIn Scraper is Enabling Powerful Investment Decisions
From recognizing companies that are adding new positions as an early sign of growth to focusing on companies with champions who have a proven track record at their helm, Linkedin scraper or scraping is leading funds to make better-informed investment decisions that have a positive impact on their bottom line. Scraping LinkedIn for Company Information […]
Read MoreCombating Data Quality Issues When Scraping Ecommerce Data
Scraping eCommerce data to devise factual and reliable strategies for eCommerce businesses is evolving the need of the hour. Data is central to your eCommerce strategy. There is strong competition among eCommerce businesses, and you should come up with new innovative ideas to sustain. However, there is a catch: you have to come up with […]
Read MoreHow Can Brands Leverage DaaS (Data as a Service) Solutions to Increase Online Sales
In the pre-ecommerce era where all the sales were happening in physical retail stores, it’s imperative that the company should have a strong distribution network to ensure that their product reaches the last mile customer. The established players have an advantage over the new entrants in this kind of market because of the distribution network […]
Read MoreDynamic Pricing – Types, Benefits, and Challenges
Adjusting prices based on market demands is not a new concept, but it is more relevant than ever. Not that long ago, dynamic pricing strategy was based on past sales data. Market demands were forecasted by analyzing seasonal and cyclical trends. Today, dynamic pricing involves more sophisticated procedures such as large-scale data gathering and analysis. […]
Read MoreNews and Events – Google Translate, Analytics for Messenger Bots and Amazon Quicksight
This month’s popular events and news from the data, analytics and computing world. Amazon Quicksight Business Intelligence launched for the public This month AWS (Amazon Web Services) launched its cloud-based business analytics solution, Amazon Quicksight for the public after running it in preview mode for more than a year. It lets employees quickly analyze data, […]
Read MoreEmployee Spotlight – Abinash
The only state you won’t find Abinash Ojha in is idleness. He’s always on the move, which he has to for ensuring a smooth flow of work in the office. Apart from being really good at managing the team without friction, Abinash is secretly a cooking enthusiast. You could find him testing secret recipes back […]
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