The business
A useful website audit needs to show where a finding came from. A list of scores alone is not enough to choose a repair or explain it to a business owner.
An internal technical-SEO crawler that turns page-level observations into a local report and exports for human review.
The business
A useful website audit needs to show where a finding came from. A list of scores alone is not enough to choose a repair or explain it to a business owner.
The real problem
Collect page-level observations, keep crawl behavior restrained, and make findings easy to inspect before recommending a change.
My responsibility
I built the local crawling, issue evaluation and reporting workflow. Client recommendations still require reviewing the findings in context.
What was built
01
The crawler records page facts in a local database and evaluates them against a defined issue catalog.
02
A self-contained HTML report and page/issue CSV exports give the operator concrete locations to review.
03
Pages that appear to need JavaScript rendering are marked for a rendered check. Reports are audit input, not an automatic recommendation or a claim that every defect has been found.
System view
Choose the site, page limit and allowed public scope.
Respect crawl restrictions and keep the observations locally.
Inspect affected pages and distinguish defects from limits of the crawler.
Make a scoped change, then check the affected behavior again.
Inspectable proof
Sanitized artifacts show the underlying work without exposing client identities, credentials, private dashboards, or customer data.
Regression evidence for the crawler and reporting implementation, not a client audit or live search-performance result.
Evidence
Nine automated tests passed against temporary local test fixtures. No public site was crawled for this verification.
The implementation produces a local database, self-contained HTML report, page export and issue export.
No ranking, traffic, revenue or conversion improvement is inferred from a technical test pass.
Results & current state
Findings have page-level context.
The report and CSV exports retain the collected page observations and affected locations.
Crawling and recommendation remain separate steps.
The tool reports observations and limitations; the operator reviews them before choosing work.
Describe your setup in a few sentences. You'll get a plain answer about whether and how I can help.