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Local Business Schema Generator

Generate clean LocalBusiness JSON-LD for business details, addresses, opening hours, locations, and local business types directly in your browser.

100% Client-SideNo Signup RequiredInstant Analysis
Visible Location Content Requirement

LocalBusiness structured data must accurately represent the business name, physical street address, telephone, and opening hours visibly displayed to customers on this webpage. Do not invent addresses for service-area businesses without a public physical location.

Local Business Configuration

Business Type (@type)

Select the most specific subtype that accurately reflects your business.

Business Details

0 chars

Physical Address (PostalAddress)

Google Required

Weekly Opening Hours

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to
to
to
to
to
Closed

Online Presence (sameAs)

Reviews & Ratings (Compliance Notice)

Review & rating markup is disabled by default to comply with Google's guidelines against self-serving local business stars.

Generated Schema

Enter your business name to generate LocalBusiness markup.

Local Structure Validation
ERROR
Business name is required for LocalBusiness structured data.
Physical address (Street, City, State/Region, Postal Code, Country) is required for Google LocalBusiness rich results.
Structured Data Preview

Your Business Name

Dentist
$$
STEP-BY-STEP GUIDE

Step-by-Step Guide

1

Select Specific Business Subtype

Choose the most specific Schema.org LocalBusiness subtype (e.g., Dentist, Restaurant, AutoRepair, Store) or configure multi-type arrays for multi-service businesses.

2

Enter Core Business Details & Location

Provide the official business name, website URL, contact numbers, street address, and high-precision geographic coordinates.

3

Build Weekly Opening Hours

Configure daily operating schedules, split shifts, 24/7 schedules, overnight hours, or seasonal validity windows.

4

Configure Optional Departments or Restaurant Data

Add nested department structures (e.g., in-store pharmacy) or cuisine and menu links if operating a food establishment.

5

Copy JSON-LD or HTML Script

Review local validation results, then copy the clean JSON-LD or ready-to-embed HTML script for deployment on your location page.

Overview

What Is a Local Business Schema Generator?

A Local Business Schema Generator is a specialized browser-based utility that helps business owners, webmasters, and SEO professionals create standardized Schema.org LocalBusiness structured data in JSON-LD format. Instead of manually writing nested JSON syntax or navigating complex schema documentation, you enter your business name, physical address, geographic coordinates, opening hours, and contact details into an intuitive visual builder that generates valid, copy-ready code in real time.
Operating entirely within your browser, this tool processes all company information on the client side. No business addresses, telephone numbers, schedules, or internal notes are transmitted to remote servers, uploaded to a database, or processed via third-party web crawlers. Your location data remains private and confidential throughout the generation process.
By implementing standardized LocalBusiness markup on your website's location pages, you provide search engine crawlers with an unambiguous, machine-readable declaration of your physical location, operational hours, and primary services.
Schema Fundamentals

What Is LocalBusiness Structured Data?

LocalBusiness structured data is a standardized schema vocabulary established by Schema.org and interpreted by major search engines, including Google, Bing, and Yahoo. LocalBusiness is a specific subtype of both Organization and Place, representing a physical business location or a local branch that customers can visit or contact within a defined geographic market.
When embedded as a JSON-LD script on a web page, LocalBusiness structured data explicitly defines foundational entity properties such as the business name, physical street address, geographical latitude and longitude, official telephone number, opening hours specification, accepted payment methods, and external social or directory profiles (sameAs).
Without structured data, automated web crawlers must extract business facts by parsing unstructured HTML text, which can lead to misinterpretation of multi-line addresses, split operating hours, or department relationships. LocalBusiness markup provides structured clarity directly to the search engine's knowledge graph.
Type Specificity

LocalBusiness vs Specific Business Subtypes

While @type: "LocalBusiness" is technically valid Schema.org syntax, Google's search documentation strongly encourages webmasters to use the most specific applicable subtype available in the Schema.org hierarchy. Specific subtypes provide search engines with detailed context regarding your industry, commercial category, and specialized attributes.
For example, a dental practice should use @type: "Dentist" (a subtype of MedicalBusiness and LocalBusiness) rather than generic LocalBusiness. A hair salon should use @type: "HairSalon", an auto mechanic should use @type: "AutoRepair", and a neighborhood café should use @type: "CafeOrCoffeeShop".
Multiple Types: When a business operates across multiple distinct, genuine disciplines (for example, a contractor providing both plumbing and electrical services), Google supports declaring multiple types as a JSON array within the @type property, such as "@type": ["Plumber", "Electrician"]. Webmasters should only combine subtypes that genuinely represent the same underlying business entity, avoiding arbitrary or unrelated keyword stuffing.
Google Guidelines

Required LocalBusiness Properties

To qualify for Google Search rich-result features documented for local businesses, your structured data must satisfy Google's mandatory property requirements:
• name: The official, real-world name of the business as displayed on physical signage and visible page content.
• address: A fully structured PostalAddress object detailing the physical street address, locality, region, postal code, and country.
In addition to mandatory requirements, Google documentation identifies several highly recommended properties that provide vital location context: image (high-resolution photographs of the storefront), telephone (direct contact number with country/area code), url (canonical webpage for the specific location), geo (exact GeoCoordinates), and openingHoursSpecification (detailed weekly schedule).
This generator validates all required fields instantly, alerting you if critical address components or business names are missing.
Location Identity

Business Name and Physical Address

The foundation of any local business structured data is the physical address. Google's rich-result documentation for LocalBusiness is explicitly designed for physical establishments that customers can visit. Generating an artificial or fabricated street address for an entity without a physical location violates structured data guidelines.
In Schema.org JSON-LD, physical location is expressed through a nested PostalAddress object:
{
  "@type": "PostalAddress",
  "streetAddress": "88 Cedar Lane",
  "addressLocality": "Brookfield",
  "addressRegion": "CA",
  "postalCode": "94000",
  "addressCountry": "US"
}
Always ensure that the postal address declared in your JSON-LD strictly matches the address text published on your website's contact or location page. Inconsistencies between visible page copy and structured data trigger search engine quality flags.
Spatial Accuracy

Geo Coordinates and Business Location

Geographic coordinates pinpoint the exact physical location of a business on the earth's surface using latitude and longitude numbers. In Schema.org, coordinates are encapsulated within a GeoCoordinates object linked to the parent business entity.
Google recommends providing coordinates with at least five decimal places of precision (e.g., 37.77492, -122.41941) to ensure high-accuracy spatial resolution. Coordinates in JSON-LD must always be formatted as raw JSON numbers rather than strings.
"geo": {
  "@type": "GeoCoordinates",
  "latitude": 37.77492,
  "longitude": -122.41941
}
Providing precise geographic coordinates clarifies physical position, particularly for businesses situated inside large shopping complexes, office towers, or suburban business parks where postal street numbers cover broad geographical areas.
Media & Contact

Telephone, Website, Logo, and Images

Comprehensive contact details and visual assets help search engines verify entity authenticity and present rich visual information:
• telephone: Include the primary customer-facing phone number with appropriate international country and area codes (e.g., +1-555-0199).
• url: The fully qualified URL pointing directly to the specific location's landing page. If a company operates multiple branches, each location page should contain markup pointing to its own distinct URL.
• logo: An absolute URL pointing to the high-resolution brand logo image in standard graphic formats (SVG, PNG, WebP, JPG).
• image: An array of direct photo URLs showcasing the exterior storefront, interior customer areas, or team members. Google recommends direct, crawlable image URLs representing visible page content.
All media and webpage links must be absolute HTTP or HTTPS URLs to ensure search crawlers can resolve asset endpoints without ambiguity.
Schedules

Opening Hours and OpeningHoursSpecification

While legacy Schema.org markup allowed simple openingHours text strings, modern search engine guidelines strongly recommend using structured OpeningHoursSpecification objects. Structured hours eliminate regional date/time ambiguity and allow granular schedule modeling.
Each OpeningHoursSpecification entity defines an array of days (dayOfWeek) alongside explicit opening (opens) and closing (closes) times formatted in 24-hour HH:MM notation:
"openingHoursSpecification": [
  {
    "@type": "OpeningHoursSpecification",
    "dayOfWeek": [
      "Monday",
      "Tuesday",
      "Wednesday",
      "Thursday",
      "Friday"
    ],
    "opens": "09:00",
    "closes": "17:00"
  }
]
For businesses open 24 hours a day, 7 days a week, Google documentation specifies setting opens: "00:00" and closes: "23:59" across all seven days.
Advanced Hours

Split Shifts, Overnight Hours, and Seasonal Schedules

Real-world commercial establishments often follow complex operational schedules that require advanced structured modeling:
1. Split Shifts: Businesses that close during mid-day (such as restaurants closing between lunch and dinner service, or clinics closing for lunch breaks) should declare multiple OpeningHoursSpecification objects for the same day. For example, one entry for 09:00–13:00 and a second entry for 14:00–18:00.
2. Overnight Hours: Venues such as bars, clubs, or 24-hour emergency veterinary clinics that open in the evening and close past midnight should define a single specification where the closing time is earlier than the opening time (e.g., opens: "18:00" and closes: "03:00" for Saturday). Google recognizes this pattern as extending into the following morning without needing to artificially fragment the schedule across day boundaries.
3. Seasonal / Temporary Schedules: For holiday seasons, summer hours, or temporary construction periods, Schema.org supports validFrom and validThrough properties (using ISO 8601 YYYY-MM-DD format) to bound when a specific schedule is active.
Hospitality Schema

Restaurant and Food Business Schema

Food and hospitality establishments—including restaurants, bakeries, cafes, and bars—have access to dedicated Schema.org properties that provide specialized dining context:
• servesCuisine: Specifies the culinary style or cuisine types offered, such as Italian, Japanese, Mediterranean, or Vegan.
• menu: A direct, absolute URL pointing to the online food and beverage menu on your website.
• acceptsReservations: A boolean value or reservation booking URL indicating whether patrons can reserve tables in advance.
• priceRange: An indicator of price tier (e.g., $$ or $15-30).
Note on Google Search Features: Google restricts certain interactive restaurant carousels to specific verified partners. Marking up your restaurant with valid schema ensures search engines understand your cuisine and menu structure, but does not guarantee special carousel placement.
Complex Entities

Departments and Multiple Business Areas

Large commercial properties often contain distinct departments operating within the same parent facility—such as a pharmacy or optical department inside a supermarket, or a parts and service department inside an automotive dealership.
Schema.org models these relationships using the department property. Each nested department is its own structured LocalBusiness or specific subtype entity with its own distinct name, phone number, operating hours, and price range.
Google Naming Rule for Departments: Google's search documentation advises webmasters to use the main store name combined with the department name (e.g., "Northstar Market Pharmacy") unless the department is an independently recognized national brand (e.g., "Geek Squad"). This naming convention prevents user confusion in search results.
Rating Policies

Reviews and Aggregate Ratings

Review and rating structured data is subject to strict search engine policies. Google enforces rigorous guidelines regarding self-serving reviews:
The Self-Serving Review Restriction: Google's Review snippet documentation explicitly states that when an entity (such as a local business or organization) controls the published reviews about itself on its own website, the page is ineligible for Google star review rich snippets. Google designed review snippets for third-party review platforms and aggregator sites rather than individual business websites publishing internal testimonials.
Best Practices for Business Sites:
• Do not fabricate review counts, reviewer names, or artificial 5-star ratings.
• Only include AggregateRating or Review structured data if reviews are genuine, submitted directly by verified customers, visibly published on the page, and comply with search engine eligibility policies.
• Our generator disables review markup by default and requires explicit confirmation to ensure compliance with Google's structured data quality standards.
Service Businesses

Service-Area Businesses and LocalBusiness Markup

Service-area businesses (SABs)—such as mobile locksmiths, plumbers, residential cleaners, and roofers—often operate from private residential addresses or dispatch centers without a public customer showroom.
Google's rich-result guidelines for LocalBusiness structured data currently require a physical address for rich result eligibility. If your business operates strictly as a service-area entity and intentionally conceals its physical address on public directories to maintain privacy, you must weigh structured data requirements against your operational privacy needs.
In Schema.org, service-area businesses can declare geographic coverage using the areaServed property (specifying cities, postal codes, or administrative regions). However, webmasters should understand that omitting street address components will prevent the page from qualifying for address-dependent rich result features under Google's current validation criteria.
Testing & QA

How to Validate LocalBusiness JSON-LD

Before deploying structured data to a live production environment, always perform comprehensive validation using official testing utilities:
1. In-Browser Real-Time Validation: This generator includes an integrated validation engine that inspects your form values in real time, checking for missing required fields (name, postal address), coordinate boundaries, URL formatting, and schedule logic.
2. Google Rich Results Test: Test your generated JSON-LD or published URL in Google's official Rich Results Test. This tool verifies whether your markup meets current rich snippet eligibility requirements and detects syntax errors or missing recommended properties.
3. Schema.org Validator: Run your markup through the official Schema.org Validator (validator.schema.org) to verify broader semantic vocabulary conformance beyond Google-specific requirements.
Explore our complete suite of structured data utilities in the Schema Tools collection, including the Organization Schema Generator, FAQ Schema Generator, and Article Schema Generator.
Common Pitfalls

Common LocalBusiness Schema Mistakes

Avoid these frequent implementation errors when generating and deploying LocalBusiness structured data:
• Mismatching Visible Content: Declaring a business name, address, or phone number in JSON-LD that differs from the visible copy on the page confuses crawlers and triggers manual spam actions.
• Fictional Coordinates: Inputting inaccurate or placeholder latitude and longitude values instead of precise coordinates representing the actual physical location.
• Stacking Unrelated Subtypes: Adding dozens of unrelated business subtypes in an attempt to artificially expand search relevance.
• Using additionalType Incorrectly: Using Schema.org additionalType as a workaround when Google specifically documents multi-type arrays in @type.
• Publishing Self-Serving Reviews: Marking up editorially created or self-authored testimonials as structured Review or AggregateRating data.
• Single Markup for Multiple Locations: Using a single generic schema block across an entire website instead of providing dedicated, location-specific schema on each branch landing page.
FAQ

Frequently Asked Questions

Common questions about Local Business Schema Generator and how it works.

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