Crawl stats report: find host and response problems
Read the conclusion first
Start with host availability and failing responses, not the number of crawl requests. A higher count can come from repeated resources or duplicate URLs. Combine the native Crawl Stats report with dated release and server evidence to determine whether important content was actually reachable.
Applicable conditions
Applies to persistent 5xx, slower responses, or crawl anomalies on large sites. The current product does not collect this native report.
Before you open the report
The crawl date range, request breakdown, host status and matched server logs where available.
Use one concrete URL or report first. Keep account credentials and private visitor data out of shared notes.
Steps and verification
Investigate host warnings and their time window
In native GSC, identify the applicable host and preserve any DNS, connectivity or robots-fetch warning with its dates. Compare those intervals with public access tests, monitoring and infrastructure changes. An availability fault needs attention even if total crawl volume remains high.
Test representative HTML and necessary resources across affected templates. If the report covers multiple hosts, do not attribute one host's fault to every subdomain. AISEO Site currently does not collect this native report; preserve the source rather than describing a tool-generated crawl diagnosis.
Break requests down before explaining volume
Review response classes, file types and crawl purpose. Counts describe requests, not necessarily unique pages: repeated fetches of one failing resource can increase volume. Separate discovery of new content from refresh of known content where the report permits.
Compare changes with deployment, caching and URL-inventory growth. More image requests are not evidence of more useful HTML pages being indexed. Native examples help investigate patterns but do not replace a complete server-log analysis.
Use logs to verify the affected content
For the relevant interval, analyze verified crawler requests by path, status and duration in a protected environment. Check whether the important page was requested, what response it received and whether retries coincided with failures. Do not publish raw sensitive logs.
Repair confirmed availability or URL-generation faults, then compare failure rate and successful important-page fetches. State unknowns when logs are unavailable. A checked response recovery is meaningful; indexing and traffic outcomes remain separate, and normal small-site fluctuations do not establish a crawl-budget crisis.
Common mistake: All small sites optimize crawl budget
Handle availability and content discovery first; avoid packaging normal crawl fluctuations as a budget crisis.
How to decide when you encounter different situations
Match your actual observation to a row before changing the page. If it does not match, collect the missing evidence first.
| What you see | Next step | How to confirm |
|---|---|---|
| Host errors increase | Handle availability first | Cross-check logs and reports |
| Resource requests increase | Distinguish HTML from resources | Not equivalent to more important pages indexed |
| Crawl volume decreased but pages are healthy | Check URL and demand changes | No evidence, don't create budget problems |
More requests do not necessarily mean more article crawls
Teaching scenario. Names, URLs and numbers illustrate the method; they are not customer or measured site results.
- What you observe
- Teaching example: requests rise from 1,000 to 2,000 after a frontend release, while HTML requests stay near 500.
- What it establishes
- Additional scripts and images can explain the total. The chart alone does not demonstrate increased article discovery or indexing.
- What to do next
- Break down file types and response statuses, then compare host errors with deployment times. Prioritize reproducible availability failures rather than chasing the highest request count.
What counts as a checked result
Keep the affected host and error interval. Compare repaired host behavior with later crawl data without labeling every change a crawl-budget problem.
If a required check fails, keep the error and return to the matching decision branch. A blank record means unverified, not passed.
Leave with a checked result, not another vague instruction
- Your deliverable
- A host/time-bound availability investigation, not a score based on request volume.
- Stop and resolve this first
- Without verified crawler logs, keep claims about specific Googlebot visits unknown.
Record missing evidence in the worksheet below. An unresolved test is useful information; a blank field is not a pass.
Checklist for this page
Fill in your own check results, then decide the next step. Blank means not yet verified, not normal. Content is saved only in the current local session and is not submitted to the server or AI.
Frequently asked questions
Does high crawl volume guarantee indexing?
No. Crawling and index selection are different.
Does fewer crawling requests prove lower rankings?
No. Crawl activity and search performance are different measurements. Investigate each using its own evidence.
Official materials and usage boundaries
This page provides operational judgment and checking methods, and does not show customer success cases. Calculation examples and request samples are teaching materials, not actual website metrics. Google's reports, conditions, and interfaces may change; please refer to the current official documentation.
Read the corresponding Google official documentationContinue with the relevant tool
Attach representative response checks to a workspace task while retaining the original Crawl stats report and server logs for host-level diagnosis.
See how it works →