✓ TestedWorks with CSV, Excel, Google Sheets → JSON-LD Schema
By dataclean.to team · 2026-02-05
Business event calendars convert to Event schema for event discovery. Conferences, webinars, trade shows, and corporate events contain scheduling and venue information that maps to Event properties. This conversion enables event rich snippets in search results.
The Problem
B2B companies host events without Event schema markup. Event management platforms store event data separately from marketing pages. Conference calendars need structured markup for search visibility. Automated conversion applies Event schema to entire event databases. Schema.org Event specification
How to Fix It
1
Upload Event Data
Import event information including names, dates, times, locations, descriptions, speakers, and registration details.
2
Map Event Properties
Assign event data to Event schema fields including name, startDate, endDate, location, description, and organizer.
3
Configure Location Details
Set location using Place schema for physical venues or VirtualLocation for online events.
4
Add Registration Information
Include offers for ticket pricing and eventAttendanceMode to specify in-person, online, or hybrid format.
5
Generate Event Schema
Export Event JSON-LD for event pages, calendar listings, and conference websites.
Frequently Asked Questions
What event types use Event schema?
Conferences, trade shows, webinars, workshops, seminars, networking events, product launches, and any scheduled business gathering with defined dates and locations.
How do I handle recurring events?
Create separate Event objects for each occurrence or use eventSchedule property to define recurrence patterns for regular events like weekly webinars.
Can I include speaker information?
Event schema supports performer property for speakers, panelists, and presenters. Create Person schema objects for each speaker with their details.
Example: Input → Output
name
startDate
endDate
location
price
Tech Summit 2026
2026-06-15
2026-06-17
San Francisco CA
$299
tech summit 2026
June 15 2026
Jun 17 2026
San Francisco
CA
299
Red rows show common data quality issues. dataclean.to normalizes and generates JSON-LD automatically.