Why Is the Business Challenge of Web Scraping Software?
Any business, whether it is retail, healthcare, finance, manufacturing or insurance and banking needs information. All this information is for the most part available on the internet but it is so spread out and sometimes inaccessible that it takes special efforts to just compile the information before they can even carry out data mining activities like identifying market segmentation, trend analysis or customer churn.
There are two ways businesses can go about gather information. One is the big data route that involves real time gathering and analysis of information. This is expensive and suits larger companies. Most small and medium enterprises can rise to the challenge and achieve more or less similar results by analyzing data obtained from other methods such as the use of web scraping software online. Newprosoft web data extraction and web scraping software lets users compile data that can be used as input for their data mining and analytics activities. It costs only $ 89 or so and can be installed on multiple desktop computers. It is nowhere like Hadoop but with a little bit of intelligence and smartness one can derive fantastic amount of relevant and meaningful business data. If data is spread out in different forms across thousands of websites, the online web scraper from Newprosoft takes up the challenge and delivers astonishing amounts of data. In comparison to big data one may not be able to get data in real time or analyse it in real time or have predictive capabilities. It delivers data, plain and simple. Thereafter it is for users to derive intelligence from it. Small companies may look at big data and wonder about the cost and complexity, always thinking they will have to stay a step behind. However, with this scraping tool from Newprosoft, they have an invaluable resource that, if it does not put them up there with the big boys, at least gives them a fighting chance to use market intelligence to their advantage.
A tool is only as good as the way one uses it. Big data may rely on hundreds of servers working in parallel, consuming a lot of power and resources. Online scraping tools simply gather data that is relevant to a user in the format he needs. It is automated to a degree and only requires a user to input options, filters and keywords. The scraper takes care of the rest, tunneling even into password protected sites to gather data. The tool rotates IP addresses and uses proxy servers to spoof administrators who may block attempts to extract data. In short, the tool is competent and if used intelligently, helps businesses meet challenges and forge ahead. Normally, businesses would rely on an external source to supply data. This has two adverse impacts: lack of confidentiality and recurring expense if data analytics is an ongoing exercise. With their own in-house data scraping tool, both issues are taken care of and as users become familiar they can find more uses for this invaluable business aid.












