MNZL app icon

Apps Like MNZL for iPhone and iPad

by Ahmad Harb★ 0.00 ratingsLifestyleFreeData updated 2026-09-06

Ranked alternatives

Showing 221–240 of 1,000 ranked alternatives.

  1. Buy Sell Build QC app icon

    Buy Sell Build QC

    SMITH-DEWULF INC

    Find homes, track listings, and connect

    Custom filters let users narrow down property searches by budget and preferences. Real-time notifications alert users to new listings and updates. Users can view detailed property listings with photos and descriptions.

    ★ 5.07 ratingsLifestyleFreeData updated 2026-09-06
  2. Fen Ose app icon

    Fen Ose

    Kabba Anthony Bangura

    ★ 0.00 ratingsLifestyleFreeData updated 2026-09-06
  3. BAC Home app icon

    BAC Home

    Britton Property Holdings LLC

    List homes, share commissions, connect agents

    Listing agents can create profiles with personal and licensing details. Post listings including photos, addresses, and buyer’s agent compensation. Buyer’s agents can search homes and review compensation before showing properties.

    ★ 5.05 ratingsLifestyleFreeData updated 2026-09-06
  4. Nigeria Property Centre app icon

    Nigeria Property Centre

    Lexel Digital LLC

    Find listings for sale or rent

    Browse listings for sale, rent, and lease. Search by location, type, and price. Filter results by category like flats, homes, and commercial spaces. Contact sellers directly through the . View detailed descriptions and images.

    ★ 4.164 ratingsLifestyleFreeData updated 2026-09-11
  5. 千居Spacious Rent & Buy Property app icon

    千居Spacious Rent & Buy Property

    Spacious International Ltd

    Search properties by price, size, and location

    Search for properties by price, size, location, and neighborhood. Filter by type including residential, commercial, and serviced apartments. Chat with agents and landlords directly. View maps and landmarks. Track new developments and details.

    ★ 4.7128 ratingsLifestyleFreeData updated 2026-09-09

How we rank alternatives

Apps are ranked by functional similarity, category fit, rating confidence, and popularity.