Turn a Screaming Frog crawl into role-specific, prioritised action plans that people without SEO knowledge can actually execute.
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Updated
Aug 24, 2026 - Python
Turn a Screaming Frog crawl into role-specific, prioritised action plans that people without SEO knowledge can actually execute.
MCP server for Googlebot vs AI crawler parity analysis — compare crawl behaviour from Nginx logs with GSC data to detect visibility gaps
Audit Googlebot crawl behaviour from raw nginx access logs. A local-only Streamlit dashboard with seven analysis views — crawl budget, orphans, status waste, stale pages, performance, bot verification, parameter traps.
Turn crawl and performance data into a ranked SEO action list, helping teams focus time and budget on the pages and fixes that matter most. Runs locally with no uploads.
SQL warehouse for search console, crawl, index coverage, freshness drift, and URL-level observability diagnostics.
Multi-page Looker Studio dashboard built on Screaming Frog crawl data — surfacing indexability issues, crawl budget waste, and technical SEO problems in one interactive report.
Read-only mirror of gitlab.com/bart-turczynski/pagerankr
To associate your repository with the crawl-analysis topic, visit your repo's landing page and select "manage topics."