✓ TestedWorks with CSV, Excel, Google Sheets → JSON-LD Schema
By dataclean.to team · 2026-02-05
B2B contact data generates Schema.org Person markup for professional profiles. Automated schema generation processes names, titles, affiliations, and contact information. This tool converts spreadsheet data into structured JSON-LD that follows schema requirements for professional visibility.
The Problem
B2B organizations maintain contact data across CRM systems, employee directories, and partner databases with inconsistent formatting. Names, job titles, email addresses, and organizational affiliations vary in structure. Manual schema creation for hundreds of professionals takes excessive time. Automated generation ensures consistent structured data while maintaining relationships to organizations, roles, and social profiles that follow schema specifications. Schema.org Person Specification
How to Fix It
1
Upload Contact Data
Import CSV or Excel files containing professional information including name, title, email, phone, company, and profile URLs. System identifies person-specific fields.
2
Configure Person Mappings
Map columns to Person properties like givenName, familyName, jobTitle, worksFor, email, telephone, url, and sameAs for social profiles.
3
Validate Contact Data
System checks name formatting, validates email addresses, ensures phone number formats, and verifies organizational affiliations are properly structured.
4
Generate Person Schemas
Tool creates JSON-LD for each professional with proper nesting of worksFor organization, address, contact points, and social media identities.
5
Export and Implement
Download individual person schemas or bulk export all generated JSON-LD files ready for team page or directory implementation.
Frequently Asked Questions
What person properties are required?
Only name is required. Recommended additions are givenName, familyName, jobTitle, worksFor organization, email, telephone, image, and url to profile page.
How do I link to organizations?
Use worksFor property with Organization type. Include organization name and url, or reference existing organization schema via identifier or url.
Can I include credentials?
Yes, use hasCredential property with EducationalOccupationalCredential type to specify certifications, degrees, licenses, and professional credentials.
Example: Input → Output
name
job_title
email
phone
org
Jane Smith
Marketing Manager
jane@example.com
+1 (555) 123-4567
Acme Corp
john doe
developer
JOHN@EXAMPLE.COM
555.987.6543
acme corp
Red rows show common data quality issues. dataclean.to normalizes and generates JSON-LD automatically.