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Convert Business Locations to LocalBusiness Schema

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

Business location data converts to LocalBusiness schema for local search visibility. Office addresses, service areas, and operating hours map to LocalBusiness properties. This conversion enables location rich snippets with contact information and directions in search results.

The Problem

B2B companies maintain location databases without LocalBusiness schema markup. Multi-location businesses need consistent schema across all offices. Location information exists in corporate directories without structured data. Bulk conversion creates schema for entire location networks. Schema.org LocalBusiness specification

How to Fix It

1
Upload Location Data
Import business location information including addresses, phone numbers, opening hours, and service areas.
2
Map LocalBusiness Properties
Assign location details to LocalBusiness schema fields including name, address, telephone, openingHours, and geo coordinates.
3
Configure Business Details
Set priceRange, paymentAccepted, currenciesAccepted, and areas served for complete business representation.
4
Add Location Features
Include parking availability, accessibility features, and amenities using amenityFeature property.
5
Generate Location Schema
Export LocalBusiness JSON-LD for each location page in multi-location business websites.

Frequently Asked Questions

What businesses use LocalBusiness schema?
Any business with physical locations open to customers uses LocalBusiness schema. This includes offices, stores, service centers, and facilities where customers visit in person.
Should I use LocalBusiness or Organization?
Use LocalBusiness for locations with physical addresses and operating hours. Use Organization for company-wide information. Both can coexist with LocalBusiness nested in Organization.
How do I handle multiple locations?
Create separate LocalBusiness schema for each physical location. Link to parent Organization through the parentOrganization property for brand consistency.

Example: Input → Output

nameaddresscityphonewebsite
City Plumbing Co789 Elm StDenver CO(720) 555-0200cityplumbing.com
city plumbing co789 elm stdenverco(720)555-0200www.cityplumbing.com

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

{
  "@context": "https://schema.org",
  "@type": "LocalBusiness",
  "name": "City Plumbing Co",
  "address": {"@type": "PostalAddress", "streetAddress": "789 Elm St", "addressLocality": "Denver", "addressRegion": "CO"},
  "telephone": "+17205550200",
  "url": "https://cityplumbing.com"
}
💡 How it works: LocalBusiness schema helps your listing appear in Google Maps and local search with structured contact info.

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