Abstract
Web Content Extraction is an important problem that has been studied through different approaches and algorithms. It is interested in extracting meaningful and useful data from the Webpage which is surrounded with many noisy data such as advertisements and navigation links. Many applications get benefits from the extracted content such as crawlers, indexers, document classification, and Information retrieval. This survey aims at providing a comprehensive overview of many approaches that constructed for extracting Webpage content. In this survey, Web Content Extraction approaches are classified into categories and for each category, some approaches are given in details with their weakness. Based on analyzing the given approaches deeply, we can draw the fundamentals factors for constructing the optimal Web content extractor.