Today, important companies around the world rely heavily on gigantic sets of data collected from a huge number of sources to drive sales, production, and marketing strategies.
At Big sigma, our team of developers have built scraping engines that legally gather information from numerous sites in the real estate industry, among others, for projects in South America.
Not only is it our priority to extract relevant information, but we also strive to present it in the best possible way for important decision making.
Sometimes, companies provide API's so that developers can directly extract information the company makes readily available. Our team needs to understant what is available through the API and how to use it to extract what is needed.
To legally extract information from websites of organizations, computer programs are written to systematically extract the information shown to the public, having previously evaluated in what format and where exactly the information is given.
It is important for the scraping script to account for erroneous data that could come out of the extraction, and put routines in place that identify it and do what is most convenient, whether it is to ignore it or handle it differently.