The current Internet stage Web 2.0 becomes a rich information source for social science research since it contains large amount of ideas on various topics from many different users. On the other hand, the Internet becomes a network of heterogeneous data where things are difficult to find. Complex solutions are usually realized for a data analysis in such environment, however, that solutions are usually tailored to a specific purpose or data type. There is currently no widely acceptable solution for a trend analysis in such heterogeneous environment. Based on our research, we have been developing a novel framework that could significantly make the Web 2.0 analysis easier. The proposed framework provides an end-to-end approach to the analysis of selected Internet trends. The integrated web user interface allows fully configurable possibilities from collection of data from relevant web sources, through its analysis using selected webometric algorithms, to a chronological view of analyzed data to users. The framework architecture is vertically scalable and allows the addition of new custom analytical modules.