dataclean.to

Generate Service Schema from B2B Offering Data

✓ Tested Works with CSV, Excel, Google Sheets → JSON-LD Schema
By dataclean.to team · 2026-02-05

B2B service data generates Schema.org Service markup for offerings. Automated schema generation processes service descriptions, providers, areas served, and pricing. This tool converts spreadsheet data into structured JSON-LD that follows schema requirements for service visibility.

The Problem

B2B service companies maintain offering data across CRM systems, service catalogs, and marketing platforms with inconsistent formatting. Service descriptions, provider information, geographic coverage, and pricing structures vary in format. Manual schema creation for dozens of services takes excessive time. Automated generation ensures consistent structured data while maintaining relationships to providers, service areas, offers, and categories that follow schema specifications. Schema.org Service Specification

How to Fix It

1
Upload Service Data
Import CSV or Excel files containing service information including name, description, provider, area served, pricing, and service type. System identifies service-specific fields.
2
Configure Service Mappings
Map columns to Service properties like name, description, serviceType, provider, areaServed, offers, category, and availableChannel.
3
Validate Service Data
System checks service type terminology, validates geographic areas, ensures provider organization structure, and verifies offer pricing formats.
4
Generate Service Schemas
Tool creates JSON-LD for each service with proper nesting of provider Organization, geographic areas, pricing Offers, and service categories.
5
Export and Implement
Download individual service schemas or bulk export all generated JSON-LD files ready for service website implementation.

Frequently Asked Questions

What service properties are required?
Required properties include name and serviceType. Recommended additions are description, provider organization, areaServed, offers with pricing, and aggregateRating.
How do I specify service categories?
Use category property with text or CategoryCode. For standardized classification, reference industry taxonomies or use serviceType for service nature.
Can I include service delivery channels?
Yes, use availableChannel with ServiceChannel type specifying online, phone, in-person, or other delivery methods with corresponding contact information.

Example: Input → Output

nameemailphonecitystatus
Alice Johnsonalice@example.com+1-555-0101New Yorkactive
alice johnsonALICE@EXAMPLE.COM5550101new yorkActive

Red rows show common data quality issues. dataclean.to normalizes and generates JSON-LD automatically.

{
  "@context": "https://schema.org",
  "@type": "Dataset",
  "name": "Cleaned Customer Data",
  "description": "Normalized customer records with standardized fields",
  "keywords": ["customer data", "CRM", "contact list"]
}
💡 How it works: Consistent data formatting reduces import errors and makes your dataset compatible with downstream tools.

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