Extract LD+JSON Schema Block

Overview

The Extract LD+JSON Schema block extracts structured data markup from web pages. JSON-LD (JavaScript Object Notation for Linking Data) is the format Google recommends for structured data, and this block helps you analyze what schema markup competitors or any webpage uses. Use it to audit SEO structured data, analyze competitor schema implementations, or gather insights for your own schema strategy.

Configuration

URL

Enter the webpage URL to extract JSON-LD schemas from. This field supports placeholders for dynamic values. Examples:

Static URL: https://example.com/blog/article
From previous step: {{step_1.output.url}}
From loop: {{current.link}}

Output Format

Choose how the extracted schema data is returned.

Format	Description	Credits
Structured	Raw JSON-LD schema data exactly as found on the page	1 credit
Summary	AI-processed checklist showing which schema types are present	5 credits

Structured Output

Returns the raw JSON-LD schema objects extracted from the page.

Output Structure

[
  {
    "@context": "https://schema.org",
    "@type": "Article",
    "headline": "How to Improve SEO Rankings",
    "author": {
      "@type": "Person",
      "name": "John Smith"
    },
    "datePublished": "2024-01-15",
    "publisher": {
      "@type": "Organization",
      "name": "Example Blog"
    }
  },
  {
    "@context": "https://schema.org",
    "@type": "BreadcrumbList",
    "itemListElement": [...]
  }
]

Accessing Structured Data

Get all schemas:

{{step_n.output}}

Get first schema type:

{{step_n.output[0].@type}}

Loop through schemas:

{% for schema in step_n.output %}
  Type: {{ schema.@type }}
{% endfor %}

Summary Output

Returns a markdown table summarizing which schema types are present on the page.

Output Structure

| Schema Type | Status |
|-------------|--------|
| Article | Present |
| Author | Present |
| Organization | Present |
| BreadcrumbList | Present |

This format is useful for quick audits and comparisons without parsing raw JSON.

Supported Schema Types

The block extracts any JSON-LD schema types embedded in web pages, including:

Category	Schema Types
Content	Article, NewsArticle, BlogPosting, WebPage, FAQPage
People & Orgs	Person, Author, Organization, LocalBusiness
Products	Product, Offer, AggregateRating, Review
Media	VideoObject, ImageObject, AudioObject
Events	Event, EventSeries
Navigation	BreadcrumbList, SiteNavigationElement
Other	Recipe, HowTo, Course, JobPosting, and more

Best Practices

Use Structured format when you need to analyze specific schema properties
Use Summary format for quick audits comparing multiple pages
Combine with Loop block to audit schema across multiple URLs
Extract competitor schemas to inform your own structured data strategy
Validate extracted schemas against Google’s requirements

Common Use Cases

Use Case	Configuration Tips
Competitor schema audit	Extract schemas from competitor URLs, compare coverage
SEO gap analysis	Check which schema types competitors use that you don’t
Content template creation	Analyze top-ranking pages to inform your schema strategy
Bulk schema validation	Loop through sitemap URLs, extract and compare schemas
Rich snippet research	Identify which schemas drive rich results in your niche

Example Workflow: Competitor Schema Audit

Analyze competitor structured data:

Google Search Block:
- Query: {{input.keyword}}
- Max Results: 10
Loop Block: Process each result
Extract LD+JSON Schema Block:
- URL: {{current.link}}
- Output Format: Summary

LLM Block:

Analyze these schema summaries from top-ranking pages:

1. Which schema types appear most frequently?
2. What schemas should we implement?
3. Any unique schemas used by top competitors?

{{step_3.output}}

Google Sheets Block: Store analysis

Example Workflow: Schema Coverage Report

Generate a schema audit for your own site:

Get URLs from Sitemap Block:
- Sitemap URL: https://yoursite.com/sitemap.xml
Loop Block: Process each URL
Extract LD+JSON Schema Block:
- URL: {{current.url}}
- Output Format: Structured

LLM Block:

Review this page's JSON-LD schema:
- Is Article/BlogPosting schema present?
- Are required properties included?
- Any missing recommended properties?

{{step_3.output}}

Google Sheets Block: Append audit results

Troubleshooting

Issue	Cause	Solution
No schema found	Page has no JSON-LD markup	Verify the page uses JSON-LD (not Microdata or RDFa)
Empty output	Schema in different format	Block only extracts JSON-LD, not other schema formats
Timeout	Large or slow page	Try a different URL or retry later
Access blocked	Site blocking automated requests	Some sites restrict scraping

What’s Next

Now that you understand the Extract LD+JSON Schema block:

Learn about Web Scrape Block to extract page content
See Loop Block to audit multiple pages
Explore LLM Block to analyze schema data
Check Google Search Block to find competitor pages

Getting Started

Cowork

Insights

Work

Automate

Assets

Integrations

Overview

Configuration

URL

Output Format

Structured Output

Output Structure

Accessing Structured Data

Summary Output

Output Structure

Supported Schema Types

Best Practices

Common Use Cases

Example Workflow: Competitor Schema Audit

Example Workflow: Schema Coverage Report

Troubleshooting

What’s Next

​Overview

​Configuration

​URL

​Output Format

​Structured Output

​Output Structure

​Accessing Structured Data

​Summary Output

​Output Structure

​Supported Schema Types

​Best Practices

​Common Use Cases

​Example Workflow: Competitor Schema Audit

​Example Workflow: Schema Coverage Report

​Troubleshooting

​What’s Next

Overview

Configuration

URL

Output Format

Structured Output

Output Structure

Accessing Structured Data

Summary Output

Output Structure

Supported Schema Types

Best Practices

Common Use Cases

Example Workflow: Competitor Schema Audit

Example Workflow: Schema Coverage Report

Troubleshooting

What’s Next