Site Crawler
We built our own crawler to control the raw data, automate crawl schedules, and integrate technical findings directly with our broader data infrastructure. This gives us a unified, historical view of site health that can be adapted to answer critical questions.
What Every Crawl Captures
Built Into Our Data Infrastructure
Most enterprise crawling platforms offer APIs and integrations. We built our own so we control how crawl data is collected, stored, structured, enriched, and used across our reporting environment. This allows us to add custom checks, connect technical findings with other signals we track, and build analysis around the questions our team needs to answer.
Scheduled Monitoring at Enterprise Scale
Crawls run automatically on schedules aligned with each site, with every run stored consistently for historical comparison. This supports ongoing technical monitoring without requiring someone to manually initiate, export, and organize each crawl.
The system supports sites with more than one million URLs, resumes interrupted crawls, and adjusts crawl speed based on server response. Crawl frequency and speed can be configured around the size, infrastructure, and release cadence of each site.
Run History and Change Detection
Each completed crawl is stored with its page counts, indexability rate, and Google index coverage, so any run can be compared against the runs before it.
The run list reports what changed since the previous crawl. Where a crawl finds no meaningful movement, it reports that directly, which keeps attention on the runs that did surface something.
Analyze the Entire Site in One Place
The crawler dashboard combines site-level metrics, prioritized findings, section and subdomain rollups, and a searchable table of every crawled page.
Selecting a finding automatically filters the relevant URLs and fields, helping our team determine whether an issue is isolated or concentrated within a particular directory, template, or section of the site. Filtered views can be shared directly with developers, giving them the affected URLs and supporting data without requiring a separate export.
40+ Checks, Graded into Three Tiers
Issues, warnings, and reports across crawl health, indexing, structured data, speed, and AI readiness. Deliberately graded, so a real server error never sits next to a missing meta description as though they carry the same weight.
Availability and Errors
Server errors, fetch failures, broken internal links, and 4xx pages. The findings that cost traffic today, surfaced first.
Redirects
Redirect chains of two or more hops, redirects that end at broken pages, and internal links pointing at redirects instead of final URLs.
Indexability
Noindex directives, robots.txt blocks, pages canonicalized elsewhere, and pages with no canonical tag at all.
Content
Missing, duplicate, long, and short titles. Missing and duplicate meta descriptions. Missing and multiple H1s, heading level skips, thin content, and duplicate content clusters.
Structure and Links
Orphan pages, pages five or more clicks from the homepage, pages still served over HTTP, images missing alt text, and slow responses.
Structured Data
Broken or missing markup, the code that decides whether pages qualify for rich results in search.
Crawl Data and Google’s Indexing Status, Side by Side
Crawl findings are matched with Google’s reported indexing status. This helps distinguish pages that appear technically indexable from pages Google has not indexed or for which Google selected a different canonical.
Every Page, Every Crawl, in One Panel
Each page view combines crawl fields, internal and external links, structured data, performance, available indexing signals, and change history.
Because page-level crawl records are retained across runs, our team can compare any two crawls and identify when specific technical elements changed. This provides a concrete history for investigating performance declines, validating releases, and confirming that technical fixes were implemented correctly.
Custom filters support questions not covered by the standard issue views, while comparison reporting isolates what changed between selected crawl dates.
Built-In AI Readiness Monitoring
The crawler evaluates access rules for a defined set of major AI crawlers, including crawlers operated by OpenAI, Anthropic, Google, and Perplexity.
It also identifies WebMCP tools exposed by the site where present. This helps distinguish intentional AI access policies from restrictions that may have been implemented without considering AI search visibility or agent access.
Coverage, Confidence, and Prioritization
A technical report is only useful when its numbers accurately reflect the underlying data. The crawler is designed to make coverage, limitations, and prioritization explicit.
Every Metric States Its Coverage
Reports show how much of the site each metric represents. URLs without available inspection or performance data are identified as missing coverage rather than classified as technical failures.
Redirects Are Normalized
Redirecting URLs are handled separately from indexable pages when calculating duplicate content, indexability, and other issue totals. This prevents redirect artifacts from inflating the apparent scope of a problem.
Priority Guidance Is Included
Findings include severity and priority context. Critical server errors, indexation problems, and broken internal links remain separate from lower-priority items such as missing metadata on pages with limited search value.
The result is a more focused technical backlog organized around likely impact rather than the total number of available checks.
Want to See What Continuous Crawling Would Surface?
We will crawl your site, join it to your Search Console and analytics data, and walk your team through what it turns up.