Ezzat Chamudi
Web Design Scraper is a research tool for extracting objective web design measurements from a web page. Web design measurements are aspects from web design that are representable in numerical form, generated by procedural algorithms. In this tool, you can download the extracted measurements in a JSON file, which can be used as machine learning inputs for: ➡️ Predicting the usability of websites ➡️ Classifying websites based on certain design measurements ➡️ Scoring website quality and design aesthetic Our algorithms can extract the following measurements: ➡️ Symmetry (Calculate ciede2000 average from the screenshot) ➡️ Complexity (Estimate text elements usage in the web page) ➡️ Density (Estimate negative space usage) ➡️ Cohesion (Calculate image elements aspect ratio consistency) ➡️ Economy (Calculate UI element size consistency) ➡️ Simplicity (Get total alignment points of UI elements) ➡️ Dominant colors ➡️ Font families ➡️ Text size distribution More design measurements are currently being researched. 🔬 This extension is the implementation of the web design scraping concept that we coined in our research paper [1]. Visit our GitHub Repo to see how we extract the web design measurements: https://github.com/echamudi/web-design-scraper ----- [1] A. Namoun, A. Alshanqiti, E. Chamudi and M. A. Rahmon, "Web Design Scraping: Enabling Factors, Opportunities and Research Directions," 2020 12th International Conference on Information Technology and Electrical Engineering (ICITEE), Yogyakarta, 2020, pp. 104-109, doi: 10.1109/ICITEE49829.2020.9271770.
