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SEO/GMB

Backlink Analyzer

Advanced backlink analysis with Python and MongoDB

2024
SEO/GMB
Visit Live Site

5M+

Backlinks Analyzed

6,000+

Websites Audited

98%

Toxic Link Detection

Project Overview

Backlink Analyzer is an advanced SEO tool for analyzing backlink profiles, identifying toxic links, discovering link building opportunities, and conducting competitor backlink research. Built with Python and MongoDB, the platform uses machine learning to assess link quality and detect spam.

The project features comprehensive backlink profile analysis, toxic link detection with disavow file generation, lost and gained backlink monitoring, anchor text distribution analysis, competitor backlink gap analysis, and link building opportunity discovery based on competitor research.

Technologies Used

Python MongoDB Beautiful Soup Scrapy React Node.js Machine Learning Redis

Key Features

  • Comprehensive backlink profile analysis and metrics
  • ML-powered toxic link detection and disavow generation
  • Lost and gained backlink monitoring with alerts
  • Anchor text distribution and over-optimization detection
  • Competitor backlink gap analysis
  • Link building opportunity discovery

Results & Impact

Backlink Analyzer processed 5M+ backlinks for 6,000+ websites with 98% accuracy in toxic link detection. The platform helped clients recover from 2,500+ Google penalties through disavow submissions. Competitor analysis discovered 100,000+ link opportunities. Annual revenue reached .1M serving SEO agencies and enterprises.

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