Your learning path: 93 lessons.
Module 14 / Lesson 77 · Read, apply, check
Analyze a small verified crawler-log sample without confusing requests, indexing and rankings.
Start with a hypothesis such as repeated requests to obsolete filters or missing requests to a recently moved section. Specify the host, period and URL group. A large log file is not inherently insightful until the analysis serves a decision.
Confirm timestamp conventions, status fields, cache or proxy layers and whether the file covers the relevant host. User-agent text alone does not prove a request came from Googlebot. Use the current official verification method before reporting a crawler-specific conclusion.
Aggregate by useful patterns such as product pages, filter combinations, redirects and errors. Count requests separately from unique URLs. A frequently requested error can dominate totals even when it represents one destination, while a large product range may have fewer requests per URL.
A request proves a fetch attempt in that log’s scope, not indexing or ranking. Corroborate suspected problems with response tests, navigation and Search Console evidence. Choose a fix for the demonstrated failure rather than assuming every site needs a crawl-budget project.
Inspect unique URLs and the links creating repeated requests.
Fetch observations; not an index count.
Check which useful destinations and time periods are affected.
Repair evidenced obsolete paths and investigate errors separately.
Hypothetical example: a catalog’s verified crawler sample contains 900 requests to obsolete filter URLs, 80 requests to product URLs and 20 server errors. The analyst checks unique URLs and discovers that many filter requests repeat a small set linked from an old navigation component. She tests that component, documents the obsolete paths and proposes correcting the links. The server errors are investigated separately because they may affect useful pages. The report states the host, dates and verification method, and does not claim that 80 product requests mean 80 products are indexed. A later sample can show whether the navigation correction changes observed requests under comparable conditions.
A small local website with twenty useful pages has no evidence of crawling constraints. An agency nevertheless sells a large crawl-budget program because it found bot requests in server logs. The presence of requests is normal and does not establish that resource allocation is the business’s bottleneck. A more proportionate investigation would first inspect whether important pages are accessible, discoverable and useful, then escalate only when the evidence supports it.
Misconception: crawl activity equals search visibility. Fetching, rendering, indexing and ranking are different processes. Logs can answer a request question within their coverage, but other evidence is needed to establish what happened afterward.
Logs may contain sensitive operational or visitor information. Use approved access and aggregate only fields needed for the question. Large-site crawl management differs from routine maintenance of a small site; do not generalize the same intervention to both.
Do this today · 35 minutes
Analyze a small verified crawler-log sample without confusing requests, indexing and rankings.
An approved, sanitized log sample or the synthetic counts provided here.
Verified crawler sample: 900 obsolete-filter requests, 80 product requests, 20 server errors. Most filter requests repeat URLs linked by one old navigation component.
Before: “80 crawler requests means 80 indexed products.”
After: “80 product fetch attempts in this log sample; indexing requires separate evidence.”
Notes stay in this browser. Download a copy to keep them.
Compare an equivalent sanitized sample after the correction and check important-page access; do not infer rankings from changed request totals.
Before you move on
A verified crawler-log sample shows many repeated requests to obsolete filter URLs linked by an old navigation component. It also shows eighty product requests. A report calls these eighty indexed products and recommends a site-wide rewrite. What is the strongest correction?
Next lesson →Google: Verifying crawler requests
Lesson edition 1 · References reviewed 15 October 2026 · Practical exercise reviewed 15 October 2026. Examples are illustrative teaching scenarios.
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