Local Business Schema Generator

This free local business schema generator creates JSON-LD structured data you can copy and paste into your website. Choose a schema type, enter your business details, and generate schema markup that can be validated with Google’s tools.

Featured Snippet Target (40-word definition block)
Local business schema is structured data (usually JSON-LD) that labels your business name, address, phone, hours, and more so search engines understand your location and services. It supports better local SEO understanding and can power richer search features when eligible.

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Generate schema markup for your business in 2 minutes

Use this schema generator for local business to generate schema markup for these types:

• LocalBusiness
• Restaurant
• MedicalClinic
• LegalService
• RealEstateAgent
• Dentist
• FinancialService
• Hotel
• LodgingBusiness
• CafeOrCoffeeShop
• HealthClub

Step-by-step “no-dev” workflow

1. Choose business type (LocalBusiness / Restaurant / MedicalClinic / Dentist / LegalService / RealEstateAgent / FinancialService / Hotel / LodgingBusiness / CafeOrCoffeeShop / HealthClub)
2. Enter NAP + geo + hours + website/social profiles
3. Click Generate
4. Copy JSON-LD into your site
5. Validate (Rich Results Test + Schema Validator)

What the generator outputs

The generator outputs a JSON-LD script block with:

• Clean defaults: @context, @type, name, address
• Optional enhancements (when provided): geo, openingHoursSpecification, sameAs, priceRange, image/logo, department

Where to place the code for fastest impact

Single-location businesses

Add schema to the page that contains your main NAP details, typically the homepage or contact page.

Multiple locations

Add one schema block per location page (one schema item per location). This is the standard approach for local business schema for multiple locations.

What local business schema is and how Google uses it

Local business schema markup helps search engines interpret your business information in a structured format. It can improve consistency for your business entity details across your website and other sources.

What it helps with (and what it doesn’t)

• Helps search engines interpret business details consistently
• Doesn’t guarantee rich results; eligibility depends on guidelines and content accuracy

Follow structured data guidelines to avoid problems

Only add markup that reflects what is true and visible on the page. Misleading structured data can create eligibility issues and may violate structured data guidelines.

Required vs recommended LocalBusiness properties

This section summarizes what to include for schema markup for local business.

Minimum required fields (the “must-have” baseline)

• name
• address (PostalAddress with as many subfields as possible)

Recommended fields that improve completeness and QA

• geo (accurate latitude/longitude)
• openingHoursSpecification
• menu (food establishments)
• department (for departments/units)
• aggregateRating (only in specific review contexts)

Local business schema markup examples you can copy

LocalBusiness schema markup example (single location)

<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@type": "LocalBusiness",
  "name": "Example Business",
  "address": {
    "@type": "PostalAddress",
    "streetAddress": "123 King St W",
    "addressLocality": "Toronto",
    "addressRegion": "ON",
    "postalCode": "M5H 1J9",
    "addressCountry": "CA"
  }
}
</script>

Enhanced example (hours + geo + socials)

<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@type": "LocalBusiness",
  "@id": "https://example.com/#localbusiness",
  "name": "Example Business",
  "url": "https://example.com/",
  "telephone": "+1-416-555-0100",
  "image": "https://example.com/static/logo.png",
  "address": {
    "@type": "PostalAddress",
    "streetAddress": "123 King St W, Suite 400",
    "addressLocality": "Toronto",
    "addressRegion": "ON",
    "postalCode": "M5H 1J9",
    "addressCountry": "CA"
  },
  "geo": {
    "@type": "GeoCoordinates",
    "latitude": 43.6487,
    "longitude": -79.3817
  },
  "openingHoursSpecification": [
    { "@type": "OpeningHoursSpecification", "dayOfWeek": ["Monday","Tuesday","Wednesday","Thursday","Friday"], "opens": "09:00", "closes": "18:00" },
    { "@type": "OpeningHoursSpecification", "dayOfWeek": "Saturday", "opens": "10:00", "closes": "16:00" }
  ],
  "sameAs": [
    "https://www.facebook.com/example",
    "https://www.instagram.com/example"
  ],
  "priceRange": "$$"
}
</script>

Industry examples

Dentist example

<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@type": "Dentist",
  "@id": "https://example.com/locations/downtown/#dentist",
  "name": "Example Dental",
  "url": "https://example.com/locations/downtown/",
  "telephone": "+1-416-555-0111",
  "address": {
    "@type": "PostalAddress",
    "streetAddress": "200 Bay St, Suite 1200",
    "addressLocality": "Toronto",
    "addressRegion": "ON",
    "postalCode": "M5J 2J2",
    "addressCountry": "CA"
  },
  "openingHoursSpecification": [
    { "@type": "OpeningHoursSpecification", "dayOfWeek": ["Monday","Tuesday","Wednesday","Thursday"], "opens": "08:00", "closes": "17:00" }
  ]
}
</script>

Medical clinic example

<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@type": "MedicalClinic",
  "name": "Example Medical Clinic",
  "url": "https://example.com/clinic/",
  "telephone": "+1-416-555-0222",
  "address": {
    "@type": "PostalAddress",
    "streetAddress": "50 Wellington St W",
    "addressLocality": "Toronto",
    "addressRegion": "ON",
    "postalCode": "M5L 1C1",
    "addressCountry": "CA"
  }
}
</script>

Legal service example

<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@type": "LegalService",
  "name": "Example Law",
  "url": "https://example.com/",
  "telephone": "+1-416-555-0333",
  "areaServed": "Toronto",
  "address": {
    "@type": "PostalAddress",
    "streetAddress": "10 Queen St E",
    "addressLocality": "Toronto",
    "addressRegion": "ON",
    "postalCode": "M5C 2W5",
    "addressCountry": "CA"
  }
}
</script>

Real estate agent example

<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@type": "RealEstateAgent",
  "name": "Example Realty",
  "url": "https://example.com/",
  "telephone": "+1-416-555-0444",
  "areaServed": ["Toronto", "Mississauga", "Oakville"],
  "address": {
    "@type": "PostalAddress",
    "streetAddress": "15 York St",
    "addressLocality": "Toronto",
    "addressRegion": "ON",
    "postalCode": "M5J 0A3",
    "addressCountry": "CA"
  }
}
</script>

Hotel / lodging example

<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@type": "Hotel",
  "name": "Example Hotel",
  "url": "https://example.com/",
  "telephone": "+1-416-555-0555",
  "address": {
    "@type": "PostalAddress",
    "streetAddress": "100 Front St W",
    "addressLocality": "Toronto",
    "addressRegion": "ON",
    "postalCode": "M5J 1E3",
    "addressCountry": "CA"
  }
}
</script>

Health club example

<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@type": "HealthClub",
  "name": "Example Fitness Club",
  "url": "https://example.com/",
  "telephone": "+1-416-555-0666",
  "address": {
    "@type": "PostalAddress",
    "streetAddress": "300 Adelaide St W",
    "addressLocality": "Toronto",
    "addressRegion": "ON",
    "postalCode": "M5V 1R7",
    "addressCountry": "CA"
  },
  "openingHoursSpecification": [
    { "@type": "OpeningHoursSpecification", "dayOfWeek": ["Monday","Tuesday","Wednesday","Thursday","Friday"], "opens": "06:00", "closes": "22:00" },
    { "@type": "OpeningHoursSpecification", "dayOfWeek": ["Saturday","Sunday"], "opens": "08:00", "closes": "20:00" }
  ]
}
</script>

Validate, debug, and monitor your schema like an SEO pro

• Google Rich Results Test
• Schema Markup Validator

The top errors and how to fix them

Missing required properties

Add the missing values (usually name or parts of PostalAddress) and confirm they match on-page content.

Invalid opening hours formats

Use openingHoursSpecification and keep time formatting consistent (HH:MM).

Address formatting issues

Use structured PostalAddress fields and keep the address consistent with your site and GBP.

Duplicate entities / conflicting markup

Remove duplicate schema output from plugins/themes so only one version remains for the same entity.

Post-deploy monitoring checklist

• Re-test after theme/plugin changes
• Watch for NAP drift (site vs GBP vs citations)

Local Business Schema Generator FAQs

What is local business schema and do I need it?

Local business schema is structured data that describes a business entity (name, address, phone, hours, and related details). Most businesses with a physical location or defined service area can use it to improve data consistency for search engines.

Is JSON-LD better than microdata for local SEO?

JSON-LD is usually easier to implement and maintain because it does not require changes to visible HTML elements. Microdata can work but is harder to manage in many CMS environments.

Should I add schema on every page?

Do not repeat the same LocalBusiness schema on every page. Place the main entity schema on the relevant page (homepage/contact) and use one schema item per location page for multi-location sites.

How do I do local business schema for multiple locations?

Create one page per location and add one schema item per location page. Use branchOf or parentOrganization if you want to link each location entity to a parent brand entity.

Can I use Google local business schema with my Google Business Profile?

Yes. Use your GBP details as a reference for name, address, phone, and hours, and keep your website schema consistent with GBP over time.