Where does JSON Schema App pull ratings and reviews data from on Squarespace?

The JSON Schema App for Squarespace automatically pulls ratings and reviews data directly from your website’s existing review sources. It does not create fake or artificial ratings — it only uses real, published review data that already exists on your site.

Primary Data Sources 

Depending on your setup, the app can pull ratings and reviews from:

Squarespace Native Product Reviews

If you’re using Squarespace’s built-in Product Reviews feature, the app detects:

  • Star ratings
  • Review count
  • Individual review data
  • Product-specific ratings

This data is then converted into proper AggregateRating schema in JSON-LD format.
Third-Party Review Integrations
If your Squarespace store uses external review tools, the app may detect structured review data already rendered on the page, such as:

  • Product review widgets
  • Embedded rating systems
  • Review snippets inside product markup

The app converts eligible data into valid structured schema markup when supported.

Existing Structured Data on the Page

If ratings are already present in microdata format, the app can:

  • Read existing review values
  • Filter duplicates (if Microdata Filtering is enabled)
  • Output clean JSON-LD schema

Why This Matters for SEO

Proper ratings and reviews schema helps:

  • Display star ratings in Google search results
  • Improve click-through rates (CTR)
  • Enhance product rich results eligibility
  • Provide structured data compliance

The app ensures your review data is formatted correctly according to Google’s structured data guidelines.

Important Notes

  • The app does not generate reviews automatically.
  • Ratings must already exist on your product or page.
  • Fake or manually injected ratings may violate Google’s policies.

For best results, make sure your product reviews are publicly visible and properly configured within Squarespace.


Found this helpful?

( 5 out of 10 found helpful )

How to Submit a Ticket

Submit a ticket and we’ll get back to you as soon as possible.