Log Analysis Tools

Server Logs Are SEO's Most Underused Data

See exactly how Googlebot crawls your site. Which pages get crawled, when, how often. What's returning 5xx errors. Where crawl budget is wasted. This is ground truth, not estimates.

FOR MOST SITES

Screaming Frog Log Analyzer

USE IT

From the makers of Screaming Frog spider. Import logs, filter by bot, analyze crawl patterns. Integrate with crawl data to compare crawled vs discovered URLs. Handles large log files well. One-time purchase, reasonable price, runs locally.

SEO-Focused Log Analyzers

Tools built specifically for SEO log analysis. Filter by bot, analyze crawl frequency, find problems.

Screaming Frog Log File Analyser

USE IT

Import logs, filter by Googlebot, analyze crawl patterns over time. Combine with crawl data: see what's crawled vs what exists. Export insights. Runs locally, handles billions of log lines with patience.

Loggly

SITUATIONAL

Cloud log management. Centralize logs from multiple sources for analysis. More general-purpose than SEO-specific log analyzers.

loggly.com | Free limited / $79+/mo

Matomo Log Analytics

SITUATIONAL

Open-source analytics with log file import. Self-host for full data ownership. Privacy-focused alternative to Google Analytics.

matomo.org/log-analytics | Free self-hosted / $19+/mo cloud

Botify Log Analyzer

SITUATIONAL

Enterprise log analysis as part of Botify's platform. Automated log ingestion, combines with crawl and analytics data. Continuous monitoring, not just one-time analysis. For large sites with dedicated SEO teams and enterprise budgets.

Botify Log Analyzer | Enterprise pricing

OnCrawl Log Analyzer

SITUATIONAL

Log analysis as part of OnCrawl's technical SEO platform. Automated ingestion, crawl budget analysis, orphan page detection. Good for mid-size to enterprise sites. Combines logs with crawl data and search console.

OnCrawl Log Monitoring | Paid plans

JetOctopus Log Analysis

SITUATIONAL

Cloud-based log analysis integrated with their crawler. Automatic log parsing, bot behavior visualization, crawl budget insights. Good alternative to Botify/OnCrawl at lower price points. Growing feature set.

JetOctopus Logs | Paid plans

General Purpose Log Tools

Not SEO-specific, but powerful for anyone comfortable with log formats.

GoAccess

USE IT

Fast, open-source log analyzer. Real-time or batch processing. Terminal or HTML output. Handles massive log files efficiently. Filter by user agent to isolate Googlebot. Free and incredibly fast.

goaccess.io | Free / Open Source

AWStats

SITUATIONAL

Classic log analyzer, been around forever. Still works, still useful. Shows robot activity, popular pages, errors. Often pre-installed on hosting. Not as fast as GoAccess but more detailed reports out of the box.

awstats.sourceforge.io | Free / Open Source

grep + awk + sort

USE IT

The OG log analysis toolkit. If you know the command line, you can answer any question. grep "Googlebot" access.log | awk '{print $7}' | sort | uniq -c | sort -rn Learn this. It's faster than any GUI for simple questions.

Free (built into Linux/Mac)

Enterprise Log Pipelines

For sites that need continuous log monitoring at scale.

Elasticsearch + Kibana (ELK)

SITUATIONAL

Industry standard for log aggregation. Stream logs to Elasticsearch, visualize in Kibana. Build dashboards for Googlebot activity, crawl frequency, error rates. Requires infrastructure and setup, but massively powerful at scale.

Elastic Stack | Free tier + Cloud pricing

Splunk

SITUATIONAL

Enterprise log management. If your company already uses Splunk for ops, ask for access to web server logs. Build SEO-specific dashboards. Not worth buying just for SEO, but leverage it if it exists.

splunk.com | Enterprise pricing

Google Cloud Logging

SITUATIONAL

If you're on GCP, use Cloud Logging. Export to BigQuery for analysis. Query Googlebot hits with SQL. Build Looker dashboards. The right choice if your infrastructure is already on Google Cloud.

Cloud Logging | Usage-based pricing

What to Analyze

1.
Crawl frequency by section

Which parts of your site get crawled most? Are important pages being neglected?

2.
Status codes returned to bots

5xx errors visible only to Googlebot? Soft 404s? These won't show in your browser.

3.
Crawl budget waste

Is Googlebot hitting faceted navigation, parameter URLs, or other pages you'd rather not index?

4.
Orphan page verification

Pages that get crawled but aren't in your sitemap or internal linking. How did Google find them?

5.
Response times

Slow responses to Googlebot? This affects crawl rate and potentially rankings.

Why Most SEOs Don't Do Log Analysis

Getting access to server logs requires talking to DevOps. Parsing logs requires some technical skill. The tools aren't as pretty as keyword research UIs. So most SEOs skip it.

This is a competitive advantage for you.

Logs show you ground truth: what Googlebot actually does, not what you think it does. A site can look perfect in Screaming Frog but return 503s to Googlebot during peak hours. You'd never know without logs.

Minimum viable log analysis: Filter for Googlebot, check status codes, look at crawl frequency trends. Takes 30 minutes. Reveals problems that would take weeks to find otherwise.

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