Generate Restaurant Schema from eBay Food Equipment Data
✓ TestedWorks with CSV, Excel, Google Sheets → JSON-LD Schema
By dataclean.to team · 2026-02-12
eBay is a common sourcing platform for restaurant equipment, commercial kitchen supplies, and food service accessories. If you manage restaurant listings or directories, extracting structured data from eBay product exports can jumpstart your Restaurant schema markup. dataclean.to cleans the raw eBay data and maps it to schema.org Restaurant properties, producing valid JSON-LD you can embed on any page.
The Problem
eBay exports for food service equipment contain seller-specific naming conventions, inconsistent category labels, mixed price formats, and HTML artifacts in descriptions. Mapping this data to Restaurant schema fields like servesCuisine, address, and priceRange requires significant manual cleanup before the structured data will validate without errors. schema.org Restaurant type
How to Fix It
1
Export eBay food equipment listings
Download your eBay listings or saved searches related to restaurant equipment, kitchen supplies, or food service products as a CSV file.
2
Upload to dataclean.to
Import the CSV into dataclean.to. The platform detects columns like item title, price, description, seller location, and category automatically.
3
Clean and standardize fields
Fix inconsistent pricing formats, remove HTML tags from descriptions, normalize location data into structured address components, and standardize cuisine-related category labels.
4
Map columns to Restaurant schema
Assign cleaned columns to schema.org Restaurant properties: name, address, servesCuisine, priceRange, telephone, and openingHours. Preview the generated JSON-LD output.
5
Export Restaurant schema markup
Download the validated JSON-LD markup for each restaurant entry. Embed it on your restaurant directory pages or listing sites for search engine visibility.
Frequently Asked Questions
Can I generate schema for multiple restaurants from one eBay export?
Yes. Each row in your cleaned data becomes a separate Restaurant schema object. dataclean.to processes the entire file and generates individual JSON-LD blocks per entry.
What Restaurant schema properties can be populated from eBay data?
Common mappings include name, description, address (from seller location), priceRange (from listing prices), and image. Other properties like servesCuisine or telephone need to be present in your data columns.
Does the schema output pass Google validation?
dataclean.to generates JSON-LD that follows schema.org specifications. You can paste the output into Google's Rich Results Test to confirm it validates for your specific use case.
Example: Input → Output
name
prep_time
cook_time
servings
calories
Pasta Carbonara
15 min
20 min
4
650
pasta carbonara
PT15M
PT20M
4
650 cal
Red rows show common data quality issues. dataclean.to normalizes and generates JSON-LD automatically.