✓ TestedWorks with CSV, Excel, Google Sheets → JSON-LD Schema
By dataclean.to team · 2026-02-05
B2B data generates Schema.org structured data for any schema type. Automated generation processes spreadsheet data into valid JSON-LD for products, services, organizations, events, and 900+ schema types. This tool converts business data into structured markup that qualifies for search engine rich results.
The Problem
B2B companies maintain data across multiple systems without structured markup for search engines. Creating Schema.org JSON-LD manually for hundreds of entities takes excessive time and requires technical knowledge. Different schema types have unique required properties and validation rules. Automated generation ensures consistent structured data while maintaining complex relationships, nested entities, and property formats that follow schema specifications across all supported types. Schema.org Specifications
How to Fix It
1
Upload Business Data
Import CSV or Excel files containing any business information. System analyzes structure and suggests appropriate schema types based on detected fields.
2
Select Schema Type
Choose schema type from 900+ options including Product, Service, Organization, Event, LocalBusiness, Article, Recipe, and all subtypes.
3
Map Data Properties
Map spreadsheet columns to schema properties. System suggests mappings based on column names and validates against schema requirements.
4
Validate Schema Structure
System checks required properties, validates formats, ensures nested entities are properly structured, and verifies schema compliance.
5
Generate and Export
Download individual JSON-LD files or bulk export all generated schemas with validated structure ready for website implementation.
Frequently Asked Questions
What schema types are supported?
All 900+ Schema.org types including Product, Service, Organization, LocalBusiness, Event, Article, Recipe, Person, Review, JobPosting, and specialized subtypes.
How are nested entities handled?
System automatically creates nested structures for properties requiring complex types like Organization within LocalBusiness, or Offer within Product with proper references.
Can I validate against Google requirements?
Yes, tool validates against both Schema.org specifications and Google's structured data guidelines for rich results eligibility.
Example: Input → Output
name
email
phone
city
status
Alice Johnson
alice@example.com
+1-555-0101
New York
active
alice johnson
ALICE@EXAMPLE.COM
5550101
new york
Active
Red rows show common data quality issues. dataclean.to normalizes and generates JSON-LD automatically.