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Scraping Insurance Coverage Details from Providers’ Websites

May 22, 2019Category : Blog

Last Updated on May 22, 2019 by Jacob KoshyAnyone who has purchased an insurance policy online would probably know the difficulties of comparing them. This is because every company has varied plans and the information is provided in different formats on different websites. Going through each company’s website, finding the same data points and comparing..

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How to Scrape Yahoo Finance Data using Python

April 25, 2019Category : Blog

Last Updated on April 25, 2019 by TarunIn the eyes of technology companies, the stock market is a huge database with millions of entries that get updated every single second. While there are many companies that do provide financial data of companies, it is usually through an API, and those APIs are never free. A..

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[Customer Spotlight] Kardmatch – Free and Easy Credit Card Comparison

August 17, 2018Category : Blog

Last Updated on August 17, 2018 by PreetishComparison websites are popular in the Ecommerce and Travel industries and often act as the first place that customers visit before making any important buying decision online. However the finance industry is still new to comparison portals. Kardmatch is one such company that offers solutions around credit card..

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Budgeting for Your Bootstrapped Company

December 27, 2017Category : Blog

Last Updated on December 27, 2017 by PreetishEvery end of the year calls for a new budget for companies. Some firms like to revise their budgets quarterly or even monthly depending on the actuals vs the forecast. For bootstrapped companies, who are quite keyed up to increasing profit margins and keeping expenses in check, here’s..

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Applications of web scraping in financial services industry

November 29, 2017Category : Blog

Last Updated on November 29, 2017 by Preetish[spacer height=”10px”]Every company across the globe knows that the web contains valuable information which can be applied in their business irrespective of the industry. However, this untapped potential of web data largely gets hindered because of the unstructured nature, but if it can be extracted and applied correctly,..

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