analyse-log-files

Analyze server log CSVs to assess Googlebot crawling patterns and identify crawl waste.

Updated Apr 26, 2026
One-click install
npx skills add https://github.com/seohow/seo --skill analyse-log-files
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: analyse-log-files
Source: https://github.com/seohow/seo/tree/main/skills/technical/analyse-log-files
Command: npx skills add https://github.com/seohow/seo --skill analyse-log-files

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill helps website owners and SEO professionals analyze server log files to understand how search engine bots crawl their site, revealing crawl frequency, coverage gaps, and wasted crawl budget.

Core Features & Use Cases

  • Log Analysis: Processes server logs to identify bot activity, focus on Googlebot, and bucket URLs by pattern.
  • Crawl Optimization: Detects crawl waste, orphan URLs, and under-crawled content to improve indexing efficiency.
  • Use Case: For a large ecommerce site, analyze 60 days of logs to identify redundant crawling of parameter URLs and orphan pages, then implement targeted fixes.

Quick Start

Upload your server log export CSV to the specified folder and run the analysis to get insights into your site's crawling behavior.

Frequently Asked Questions about analyse-log-files

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
What is server log analysis for SEO and how does it improve crawl budget?

Server log analysis for SEO evaluates Googlebot crawling patterns to identify crawl waste, orphan URLs, and under-crawled content. By processing server logs, you can optimize crawl budget and improve indexation efficiency.

How do I analyze server logs to find orphan URLs and crawl waste?

To analyze server logs for crawl waste and orphan URLs, parse your log CSV exports containing URL, user-agent, response code, and timestamps. The process buckets URLs by pattern to reveal redundant crawling and indexing coverage gaps.

What format do server logs need to be in for Googlebot crawl analysis?

Server logs for Googlebot crawl analysis require CSV format with specific columns: URL, user-agent, response code, and timestamps. This structured data allows proper parsing to assess crawling patterns and identify technical SEO issues.

Can I use log file analysis for a large ecommerce site with 60 days of data?

Yes, log file analysis supports large ecommerce sites with 60 days of data. It processes extensive server logs to identify redundant crawling of parameter URLs and orphan pages, enabling targeted technical SEO fixes for crawl optimization.

Why does Googlebot crawl redundant parameter URLs instead of my important pages?

Googlebot may crawl redundant parameter URLs due to crawl waste discovered through server log analysis. Parsing log CSVs reveals which URL patterns receive disproportionate crawling attention, highlighting under-crawled content and coverage gaps requiring technical SEO intervention.