Data aggregation

To achieve quality outcomes, machine learning requires data, large amounts of data. That is why we are developing own universal crawlers used to get the necessary content.

We have practically solved all issues such as limiting access by captcha codes, chanching website structures and practical problems concerning the identification of correct information in the text. For example, when downloading reviews, the same items are commonly tagged differently and, for aggregation, it is necessary to identify them as the same product.