Developing Framework of Web Scraper for Agriculture Data using Client Server Module
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Abstract
Searching for relevant information becomes very difficult and sometimes we don’t find the exact information what we are actually seeking, so it results in time-consuming and repeating the same web page without knowingly. A system which will know our needs, requirements, preferences and patterns. This will retrieve the correct information and helps in fast processing. In this work, it is proposed that the personalized search engine for information retrieval system using the client-server module for user preferred information through intelligent search and storing the searched result in a database for further accessing of information is implemented. For information retrieval, a framework known as scrappy is used for retrieving all the user needed information by specifying the URL of that data. The fetched information is stored in the database. It helps in offline browsing, full-text search in the database and fast response and no repeating of web pages
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