Search Console shows you crawl stats. Server logs show you the crawl. We parse every Googlebot request to expose wasted crawl budget, missed priority pages, and bot behaviour patterns that no other data source can reveal.
Search Console crawl stats are sampled and delayed. Without raw server log data, you cannot see which specific URLs Googlebot visits, at what frequency, or what HTTP status it receives for each. Decisions made without log data miss the most actionable crawl insights available. We make the invisible visible.
We ingest Apache, Nginx, or CDN logs and segment every request by bot type, URL template, HTTP status, and response time — producing a complete crawl map that Search Console cannot match.
We calculate per-URL crawl frequency across the analysis window, identifying which pages are crawled daily, weekly, monthly, or never — and correlate frequency with indexation status and ranking position.
Every Googlebot request to a non-200 URL, a noindex page, a blocked resource, or a parameter duplicate is flagged as crawl waste and quantified as a percentage of total crawl budget consumed.
We distinguish Googlebot, Google AdsBot, Google Image Bot, Bingbot, and other verified crawlers by IP and user-agent, and analyse each separately to surface rendering, crawl, and indexation signals specific to each bot.
We join log crawl data with Search Console coverage data to map the path from crawl to index for each URL segment — revealing precisely which crawl patterns predict successful indexation versus abandonment.
Every log analysis produces a prioritised fix list: crawl traps to close, URL patterns to block or consolidate, sitemap discrepancies to resolve, and frequency benchmarks to hit for faster indexation of new content.
We collect 30-90 days of server logs from your hosting provider, CDN, or load balancer, validate completeness, strip non-Googlebot noise, and structure the data for analysis. We work with any log format and volume.
We segment crawl behaviour by URL template, identify over-crawled waste patterns and under-crawled priority pages, map response codes across the crawl, and correlate crawl frequency with indexation and ranking data from Search Console.
We present findings in a visual crawl intelligence report with every recommendation ranked by crawl budget impact. We then implement the highest-priority fixes ourselves or hand off scoped tickets to your dev team with validation benchmarks.
A fast-growing marketplace was leaking authority through duplicate URLs and slow templates. We re-architected crawling, halved load times, and rebuilt their internal linking.
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