We are performing a lot of market research on climate change and are expending a great deal of manual effort to identify relevant websites and organizations. At the same time, many websites now use rich microformats and semantic metadata to describe their articles, events, and company information. This information is captured in the Web Data Commons project (http://webdatacommons.org/structureddata/) which uses Common Crawl (https://commoncrawl.org/). The ASU students were tasked with developing a prototype search engine to extract from the Web Data Commons a list of relevant websites, articles, events, and organizations, and display those in a search index where we can view, search, and export it. While the project work was complex and only intended to be an early prototype, the team produced results of professional quality and complexity, leveraging Amazon Web Services infrastructure to create a scalable and performant big data indexing solution. They demonstrated enthusiasm, architecture and development skills, creativity and insight throughout the project. They were always pleasant, professional, keen to understand our project goals and objectives, and willing to go the extra mile to help achieve them.