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This app is designed to scrape and extract structured information from a specified website, specifically targeting the personal portfolio of an individual. It utilizes server-side rendering capabilities provided by Next.js and employs the Cheerio library for parsing and manipulating HTML content. To use the app, a GET request is made to the designated API route. The app fetches the HTML content from the target URL, which is set to "https://maxleiter.com". Upon receiving the response, it checks for any HTTP errors. If the response is successful, the app processes the HTML to extract various pieces of information, including personal details, social media links, project information, and blog posts. The key features of the app include: - Revalidation of data every hour to ensure that the information remains up-to-date. - Extraction of personal information such as the individual's name, current company, and interests. - Collection of social media links with their respective labels and URLs. - Compilation of project details, including titles, links, roles, descriptions, and star ratings. - Gathering of blog posts and other thoughts, including titles, links, dates, types, and descriptions. The app is built using TypeScript, Next.js for server-side rendering, and Cheerio for HTML parsing. It handles errors gracefully, providing appropriate responses in case of failures during the scraping process. Overall, this app serves as a useful tool for aggregating and presenting personal portfolio information in a structured format.