In present scenario, internet is very important part of our life. On web user searches a queryaccording to his requirement. There are large numbers of web resources are present oninternet as well as its nature is dynamic, so providing better result, relevant to topic is achallenging issue. To solve this problem we propose a two-stage framework of crawler. Firstphase, Smart crawler performs “Reverse searching” that match user query with URL. In thesecond phase “Incremental-site prioritizing” performed and matches the query content within form. Then according to match frequency crawler classifies relevant and irrelevant pagesand rank this page. Result page displays high rank web pages. Our proposed crawlerrelevantly retrieves web interfaces from large sites. We develop searching throughpersonalized searching which is based on profession profile of user for searching data in yourwork field efficiently. We are maintaining log file by considering a time. We are usingLevenshtein distance algorithm to calculate word frequency in incremental-site prioritizing.User will get pre-query result based on past search results while entering cursor in searchbox. Our objective is to design a Focused Crawler to efficiently search the site database andprovide better result to the user.