Abstract
Many large web sites contain highly valuable information. Their pages are dynamically generated by scripts which retrieve data from a back-end database and embed them into HTML templates. Based on this observation several techniques have been developed to automatically extract data from a set of structurally homogeneous pages. These tools represent a step towards the automatic extraction of data from large web sites, but currently their input sample pages have to be manually collected. To scale the data extraction process this task should be automated, as well. We present techniques to automatically gathering structurally similar pages from large web sites. We have developed an algorithm that takes as input one sample page, and crawls the site to find pages similar in structure to the given page. The collected pages can feed an automatic wrapper generator to extract data. Experiments conducted over real life web sites gave us encouraging results.
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