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    Dry Cleaning & Laundry Schema Generator — Win Local Drop‑offs

    Generate clean JSON‑LD for dry cleaners and laundries. Clarify address, phone, hours, and services (pickup/delivery, same‑day) to boost local visibility and trust.

    Try the Dry Cleaning Generator

    Why many laundry pages underperform

    Pain points we solve

    • Bare snippets: competitors show hours and phone while your result looks generic.
    • Services like pickup/delivery or same‑day turnaround aren’t obvious to searchers.
    • Inconsistent NAP (name, address, phone) across pages confuses maps.
    • Validator warnings for address fields or `openingHours` slow updates.

    How SwiftSchema helps

    Solution

    Our generator ensures essentials are present and correctly formatted — full address, telephone, opening hours — and encourages listing key services in visible content.

    It outputs copy‑ready JSON‑LD per location page so your markup stays consistent. Include ratings only when policy‑compliant; link to pricing and service pages on your site.

    How it works

    How it works

    1. Choose DryCleaningOrLaundry in the generator below.
    2. Enter business name and full address (street, city, region, postal code, country).
    3. Add telephone and opening hours; summarize pickup/delivery and same‑day options in content.
    4. Optionally include AggregateRating if you have compliant, genuine reviews.
    5. Copy JSON or Script, paste on each location page, and validate in the Rich Results Test.
    Generate Dry Cleaning JSON‑LD

    Use once per location. Validate. Ship.

    What is DryCleaningOrLaundry structured data?

    DryCleaningOrLaundry is a LocalBusiness subtype for laundromats, dry cleaners, and laundry pickup/delivery services. It clarifies address, phone, hours, service types (wash-and-fold, dry cleaning, alterations), and amenities (drive-through, lockers, pickup zones). Accurate markup improves local search snippets, ensures consistent signals in Google Business Profiles, and helps searchers quickly evaluate your shop.

    Essential schema fields

    1. name
       — match your signage and Google Business Profile.
    2. address
       — include suite numbers and precise PostalAddress details.
    3. telephone
       — list main contact number; add
      contactPoint
      for pickup/delivery hotlines if needed.
    4. openingHoursSpecification
       — specify regular hours, drop-off deadlines, and pickup windows.
    5. priceRange
       — optional; note approximate pricing (
      $$
      ) or mention “Prices vary by garment.”
    6. serviceType
      /
      areaServed
       — highlight offerings (wash & fold, same-day dry cleaning, rug cleaning) and neighborhoods served.
    7. image
       — include photos of the storefront, interior, or equipment.
    8. aggregateRating
      /
      review
       — only include if you have first-party reviews collected per policy.
    9. amenityFeature
       — mention lockers, drive-through drop-off, or eco-friendly solvents.

    Content prep checklist

    • Describe core services (dry cleaning, wash & fold, alterations, leather care) and special offerings (same-day service, pickup/delivery).
    • List turnaround times (“Same-day before 11 AM,” “48-hour standard”).
    • Provide pricing examples or starting rates to set expectations.
    • Mention accepted payment methods, loyalty programs, or subscription plans.
    • Highlight eco-friendly processes, hypoallergenic detergents, or specialized stain treatments.
    • Include CTAs for scheduling pickup/delivery and link to booking forms.

    Implementation workflow

    1. Create a dedicated page for each store (even kiosk-only locations).
    2. Generate DryCleaningOrLaundry JSON‑LD with complete address, phone, hours, and service details.
    3. Add
      serviceType
      or
      hasOfferCatalog
       to enumerate popular services.
    4. Include
      contactPoint
       entries for general inquiries vs pickup scheduling.
    5. Embed the schema once per page; avoid duplicate LocalBusiness blocks from third-party widgets.
    6. Validate via Rich Results Test and monitor Search Console for local business warnings.

    Multi-location and service-area considerations

    • If you operate multiple shops, use LocalBusiness schema per location and link them via a Locations hub page with ItemList.
    • For pickup/delivery services, note the service radius in
      areaServed
      and mention the schedule (e.g., “Pickup Mon/Wed/Fri in Midtown”).
    • If you host locker drop-offs or partner with other retail locations, describe them in content and consider using
      branchOf
      to link to the parent brand.

    Reviews and compliance

    • Only include reviews collected first-hand (on your site or via first-party surveys).
    • Display disclaimer text required by your jurisdiction (e.g., “Testimonials do not guarantee results”).
    • Remove reviews that mention personal info or violate privacy; keep schema synced with the visible review list.

    Troublehooting checklist

    • Incomplete address: include city, region, postal code, and country; mention suite numbers.
    • Misformatted hours: use the correct format (
      Mo-Fr 07:00-19:00; Sa 08:00-14:00
      ). For 24/7 drop-off lockers, mention that as well.
    • NAP inconsistencies: align phone and address across footer, Google Business Profile, and schema.
    • Duplicate schema: ensure only one DryCleaningOrLaundry block per page. Disable auto-generated schema from booking widgets if present.
    • Outdated services: remove or update schema when services change (e.g., pausing pickup/delivery).

    Common Errors & Fixes

    • Incomplete address: provide city, region, postal code, and country.
    • Misformatted hours: follow recognized
      openingHours
      format or
      openingHoursSpecification
      .
    • Out-of-date contact info: keep telephone and hours current across content and markup.
    • Self-serving reviews: include ratings only with policy-compliant, genuine reviews.

    Required properties

    • name
    • address.streetAddress
    • address.addressLocality
    • address.addressRegion
    • address.postalCode
    • address.addressCountry

    Recommended properties

    • telephone
    • openingHours
    • aggregateRating.ratingValue
    • aggregateRating.ratingCount
    Minimal JSON-LD
    Validate
    {
  "@context": "https://schema.org",
  "@type": "DryCleaningOrLaundry",
  "name": "Fresh Press",
  "address": {
    "@type": "PostalAddress",
    "streetAddress": "22 Elm St",
    "addressLocality": "Albany",
    "addressRegion": "NY",
    "postalCode": "12207",
    "addressCountry": "US"
  }
}

    Related types

    Browse all schema types

    References

    Generate Dry Cleaning or Laundry schema

    Fill in page details, copy JSON or Script, and validate.

      Schema Type

      🧺 Dry Cleaning & Laundry Schema Generator

      LocalBusiness subtype for dry cleaners and laundries. Include address, hours, phone, and services.

      Generated Schema

      Validate your schema here.