Structured Data Finder

Structured Data Finder is a Chrome extension designed for people who work with structured data every day: technical SEO specialists, developers, QA teams, agencies, and content operations teams.

If you have ever asked questions like:

"Did we lose Product schema after this release?"
"Why did Rich Results drop after a template update?"
"Are staging and production structured data still aligned?"
"Which exact schema block changed and where?"
this extension was built for that workflow.

Structured Data Finder scans the current page, extracts JSON-LD and Microdata, presents each schema in clean blocks, and gives you a practical audit + compare system so you can identify regressions, missing fields, and markup differences quickly.

Instead of manually copying script tags into multiple tools and comparing raw JSON by eye, you can run a full page-level schema comparison with filters and side-by-side detail view.

What You Can Do
Detect JSON-LD and Microdata on any HTTP/HTTPS page
Review schema blocks in a compact, readable format
Use quick indicators to understand schema health
Validate against rule-based required/recommended fields
Save page snapshots for later comparison
Compare two snapshots in a dedicated full-screen diff view
Filter differences by Matched, Added, Removed, and Changed
Inspect exact field-level differences in line-by-line format
Open Google Rich Results Test quickly
Send code directly to Schema.org Validator
Copy JSON blocks and diff summaries for reporting
Why Structured Data Finder
Many schema tools are either:

too basic (just dumps JSON), or
too heavy (overengineered dashboards for simple checks), or
too disconnected from real QA workflows.
Structured Data Finder focuses on day-to-day technical SEO operations:

clear enough for fast triage
detailed enough for engineering handoff
visual enough for agency/client reporting
It is optimized for real audit scenarios where speed and clarity matter more than vanity metrics.

Core Capabilities in Detail
1. Multi-Source Schema Detection
The extension scans:

JSON-LD blocks (<script type="application/ld+json">)
Microdata (itemscope, itemprop, nested item structures)
It consolidates results into a unified schema list so you can review everything in one place.

2. Clean Scan View with Smart Cards
Each detected schema is rendered in a card with:

schema type label
source (JSON-LD or Microdata)
index and quick preview badges
expandable JSON panel
contextual actions
This layout reduces noise when pages include many schema blocks or large @graph structures.

3. Rule-Based Health Check
Health checks are powered by a maintainable validation-rules.json model.

Status model:

good: required and recommended fields available
warning: required fields present, recommended fields partially missing
error: one or more required fields missing
neutral: no rule available for the detected type
This gives you actionable triage without hardcoding rules into UI logic.

4. Audit-Focused View
The Audit tab prioritizes issues and parse errors so you can focus on what needs attention first.

Instead of scanning long JSON blocks manually, you get a short operational report:

missing required fields
missing recommended fields
parse errors in invalid JSON-LD blocks
5. Snapshot-Based Page Comparison
Save full-page schema snapshots and compare versions over time.

Designed for:

staging vs production checks
before/after deployment audits
template migration QA
CMS release validation
Comparison engine classifies rows as:

Matched
Added
Removed
Changed
This lets you isolate schema regressions quickly.

6. Full-Screen Compare Workspace
A dedicated compare page provides:

clear page identity (base/current titles, URLs, save times)
status counters
filter chips and quick presets
left panel row navigator
right panel side-by-side JSON view
field-level diff lines
You can move from summary to exact changed field in a few clicks.

7. Practical Row Context
Schema row entries include row-level context for both sides so you can see where each block belongs and which side contains it.

This is especially useful when:

one side adds multiple new schema blocks
one side removes entire schema types
similar schema types exist multiple times on the same page
8. Validator Shortcuts
Fast validation actions are built in:

Open Rich Results Test for URL-level validation
Open Schema.org Validator for URL-level checks
Send schema code directly to validator workflow
Great for quick manual confirmation and issue communication.

Typical Workflows
Workflow A: Release QA
Open staging page and save page snapshot.
Open production page and save page snapshot.
Launch compare view.
Filter to Removed and Changed.
Validate impacted schema blocks.
Share findings with dev/SEO team.
Workflow B: Regression Monitoring
Save baseline snapshot from stable release.
Save new snapshot after template/CMS update.
Compare and review Changed rows first.
Confirm required fields still pass health checks.
Workflow C: Pre-Launch Audit
Scan target landing/product/article pages.
Review Audit tab warnings/errors.
Fix missing fields in templates.
Re-scan and compare to baseline.
Workflow D: Agency Reporting
Compare old/new page versions.
Copy diff summary.
Include exact schema impact in client report.
Status Definitions (Important)
In compare mode:

Added: schema exists only on Current page.
Removed: schema exists only on Base page.
Changed: schema exists on both pages, but values differ.
Matched: schema exists on both pages, values are equivalent.
In validation mode:

good: valid by configured rule set
warning: non-critical but recommended fields missing
error: critical fields missing
neutral: no matching rule set for that type
Built For Teams
Structured Data Finder works well across multi-role teams:

SEO specialists can detect markup quality and rich result risks.
Developers can pinpoint exact schema diffs for fixes.
QA can verify release impact quickly.
Project managers can get concise progress summaries.
Agencies can produce transparent technical reporting.
Data and Privacy
Structured Data Finder focuses on in-page schema inspection.

No external account required.
Core features run locally inside your browser context.
Snapshot/compare session data is stored in Chrome local extension storage for workflow continuity.
You control when to clear saved snapshot data.
Validator tools may open third-party pages when you intentionally trigger those actions.

Performance and Practical Limits
The extension is optimized for normal production pages, but behavior can vary based on:

delayed client-side rendering
large dynamic schema payloads
weak or missing schema identity fields
heavily duplicated schema blocks
If schema is injected late, saving again after full page load provides the most reliable comparison results.

Configuration and Extensibility
Validation logic is rule-driven through validation-rules.json, which enables maintainable updates for popular schema types without rewriting core UI logic.

This makes the extension suitable for iterative SEO operations where rule sets evolve over time.

Who Should Install This
Technical SEO professionals
SEO agencies and audit teams
Frontend/backend developers handling schema output
QA engineers validating SEO-critical releases
Content platform teams managing structured data templates
Current Strengths
Fast scan-to-audit workflow
Clean compare UX for day-to-day operations
Practical diff model for release verification
Rule-based health checks with readable output
Suggested Future Additions
Manual base/current snapshot picker from history
Export options for CSV/PDF reporting
Advanced identity matching strategies
Extended schema rule packs for additional verticals
Final Summary
Structured Data Finder is a focused extension for real technical SEO work.
It combines detection, validation, and comparison into one workflow so you can identify schema issues faster, communicate them more clearly, and reduce structured data regressions during releases.