Extraction, or removal of only useful data from among thousands or even millions of websites, is the first step towards making sense out of the virtual chaos of the internet. Simple extraction, while immensely faster than manually searching for useful data, is still time-consuming. Which is why S2 creates crawl clusters, to fetch, and crawl through large quantities of data from multiple sources in parallel, retrieving usable data faster while breaking free of scaling constraints.
Data, for any business, is a valuable asset, and the ‘cleaner’ the data, the better value you are getting from it. Data cleansing means using a data processing platform to check your data is as clean and up to date as possible by eliminating out of date material, finding duplicates and incorrect details, accessing data trapped in multi-structured web documents ultimately saving you time, reducing costs and preserving your brand’s image.
As a provider of web scraping services to international clients with varying needs, we know how important it is to provide the highest standard of work with the shortest turnaround possible. And to make that possible we have quality assurance checks built in to every step of the process.
Verification & validation
Data is verified at each step of the process by going back to check, and double check the integrity of the results created. With web scraping verification is also needed to access certain websites which might be blocking bots, and S2’s coders are able write code to get through any hurdles and access the required data.