Web Design Scraper

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 website 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

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[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.