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Generate Local Business Schema from B2B Data

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

B2B location databases contain physical business addresses, operating hours, service areas, and contact details. LocalBusiness schema enables local pack appearances and rich local search features. Structured location data improves visibility in map results and location-based queries.

The Problem

B2B location data lacks standardized address formats and mixes service areas with physical locations. Operating hours may be stored inconsistently or outdated. Without LocalBusiness schema markup, establishments cannot appear in local pack results, map features, or location filters, significantly reducing foot traffic and local inquiry conversion from search results. Schema.org LocalBusiness

How to Fix It

1
Parse Address and Location Data
Extract street address, city, state/region, postal code, and country. Validate address completeness. Parse geo-coordinates (latitude/longitude) when available for precise mapping.
2
Structure Operating Hours
Convert business hours to OpeningHoursSpecification format with day ranges and time periods. Handle split hours (closed for lunch), 24-hour operations, and appointment-only schedules.
3
Map Business Type and Services
Identify specific LocalBusiness subtype (Restaurant, AutoRepair, LegalService, etc.) based on industry classification. Extract service offerings and map to makesOffer property with Service objects.
4
Extract Contact and Verification Data
Parse phone numbers, email addresses, and website URLs. Extract social media profiles for sameAs property. Include business registration numbers or verification codes where applicable.
5
Generate LocalBusiness Schema JSON-LD
Output LocalBusiness schema with required name, address, and telephone fields. Include @type with most specific business category, openingHoursSpecification, geo coordinates, and priceRange for appropriate businesses.

Frequently Asked Questions

Should I use LocalBusiness or a more specific subtype like Restaurant?
Always use the most specific subtype available. Schema.org has over 100 LocalBusiness subtypes including Restaurant, Store, FinancialService, HealthAndBeautyBusiness, etc. Specific types enable category-specific rich results and filtering.
How do I represent businesses with multiple locations?
Create separate LocalBusiness schema instances for each physical location. Link them to a parent Organization using the parentOrganization property. Each location should have unique address, phone, and hours data.
What if a business serves customers remotely without a physical location?
Use Organization schema instead of LocalBusiness if there is no customer-facing physical location. For businesses with offices but remote service delivery, include the office address and set areaServed to indicate service territories.

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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