Accessible Hyperlinks and Search Engine Rankings
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This repository contains the open-source Python code used in our study examining the impact of internal link accessibility on search engine rankings. The code covers the complete workflow, including: a Puppeteer bot for data collection (scraping links and features); scripts for extracting accessibility metrics (contrast_ratio, text_clarity, is_unique, etc.); implementation for querying search engines via the "site:" operator; data processing, labeling, and balancing logic; and the scikit-learn based machine learning analysis pipeline. We share this code to facilitate reproducibility, verification, and extension of our research on web accessibility, SEO, and empirical web data analysis. The link to the repository below will be kept current.
git clone git@github.com:goker-dev/hyperlinks.git