ContextMiner is a framework to collect, analyze, and present the contextual information along with the data. It is based on an idea that while describing or archiving an object, contextual information helps to make sense of that object or to preserve it better. This website provides tools to collect data, metadata, and contextual information off the Web by automated crawls. At present, ContextMiner supports automated crawls from blogs, YouTube, Flickr, Twitter, and open Web. It also collects inlinks information for YouTube videos from the Web. Additional sources will continue to be added. ContextMiner helps you (1) run automated crawls on various social media sources on the Web and collect data as well as contextual information, (2) analyze and add value to collected data and context, and (3) monitor digital objects of interest. Following is a typical flow of using ContextMiner: 1. Start a new campaign based on some story, concept, or an object. 2. Choose the sources (Web, Blogs, YouTube, Twitter, Flickr) that you want ContextMiner to do your searches and crawls on. 3.Once you provide all the required parameters, ContextMiner can immediately start running your campaign. You can access all your campaigns and collected data as well as contextual information through this website. 4.You can manipulate individual items as well as related items that are collected by the above processes to add your interpretation and meaning to the campaign.FreeData CollectionScrapingSocial Media MiningBrowser-Based AppOS XLinuxChirag Shah08/02/2016