How I Used Python Fuzzy Matching to Detect Duplicate Content for SEO
The article discusses a Python script developed to detect duplicate content on websites using fuzzy matching techniques. The script utilizes libraries such as difflib and BeautifulSoup to analyze text from web pages and calculate similarity ratios. It serves as a useful tool for SEO audits, particularly for identifying near-duplicate pages quickly.
- ▪The script uses fuzzy matching to find near-duplicate pages on websites.
- ▪It employs the SequenceMatcher from the difflib library to calculate text similarity.
- ▪The tool is beneficial for quick checks during SEO audits.
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try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3941349) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Matt Joshi Posted on Jun 3 How I Used Python Fuzzy Matching to Detect Duplicate Content for SEO #micropython #programming #aws #python Struggling with duplicate content across your site? I wrote a Python script that uses fuzzy matching to find near-duplicate pages.
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