Log File Analysis

Analysis of server access logs to understand search bot behaviour.

In brief

Log file analysis is the process of examining server access logs recorded for every request to a website. Unlike Google Search Console’s sampled data, logs show **every** visit from search bots, providing a complete picture of crawling behaviour and helping optimise the crawl budget.

Why analyse logs

Log files contain every request to your server — from humans, bots, and APIs. For SEO, the most important are the records of search engine bots (Googlebot, Yandex Bot). Analysing them gives you unfiltered data, unlike the sampled reports from GSC or Yandex.Webmaster.

What logs reveal

  • Which pages bots visit most often
  • Which pages bots ignore (even if they are in the sitemap)
  • HTTP response codes (200, 404, 500) per request
  • Crawl frequency and last crawl timestamp
  • Which bots hit your site (googlebot, yandex, bing, ahrefs, etc.)

Crawl budget and hidden pages

One crucial use case is detecting orphan pages. If a bot finds a page via a direct link from another site or an old sitemap, but there are no internal links to it, logs will show it. Such pages waste crawl budget without delivering value.

The only truth lies in server logs. GSC shows sampled data. Logs show every single bot hit.
Without log analysis, you won’t know which pages the bot considers ‘zombies’ and how much budget is wasted on useless requests (404s, 302s, repeated parameter crawling).

Common questions

Logs are stored on your server (usually /var/log/nginx or /var/log/apache2). Hosting panels (cPanel, ISPmanager) often provide access to domain logs.
Large sites (100k+ pages) — monthly. Small sites — quarterly. Keep at least 2 months of logs for comparison.
Basic analysis (request frequency, status codes) can be done in Excel. Deep analysis requires parsing (awk, Python) or specialised tools (Logaholic, ELK Stack).
Direct contacts

Discuss your project?

Share your goals and website context — I will suggest a practical next step.