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We present ldquoadvaRSSrdquo crawling mechanism which is created in order to support peRSSonal, a mechanism used to create personalized RSS feeds. In contrast to the common crawling mechanisms our system is focalized on fetching the latest news from the major and minor portals worldwide by utilizing their communication channels. The challenge between ldquoadvaRSSrdquo and a usual crawler is the fact that the news is produced in a random order any time of the day and thus the freshness of the offline collection can be measured even in minutes. This means that the system has to be updated with news every single time they occur. In order to achieve this we utilize the communication channels that exist on the modern architecture of the WWW and more specifically in almost every modern news portal. As the RSS feeds are used by every major and minor portal it is possible to keep our crawler up to date and retain a high freshness of the ldquooffline contentrdquo that is maintained in our systempsilas database by applying algorithms in order to observe the temporal behaviour of each RSS feed.