Lerava app icon

Apps Like Lerava for iPhone and iPad

by KFS GROUP GmbH★ 0.00 ratingsShoppingFreeData updated 2026-09-06

Ranked alternatives

Showing 21–40 of 1,000 ranked alternatives.

  1. LEOM Shop app icon

    LEOM Shop

    LEOM International Import & Export e.K.

    ★ 0.00 ratingsShoppingFreeData updated 2026-09-06
  1. SHK4YOU app icon

    SHK4YOU

    Kurt Pietsch GmbH & Co. Kommanditgesellschaft

    ★ 0.00 ratingsShoppingFreeData updated 2026-09-06
  2. SPAR app icon

    SPAR

    SPAR Oesterr. Warenhandels-AG

    Scan codes, save automatically, earn rewards

    Scan codes to unlock personalized discounts at checkout. Apply up to four jokers to reduce the most expensive eligible items by 25%. Browse a catalog of products for shopping and price comparisons.

    ★ 4.7341 ratingsShoppingFreeData updated 2026-09-06
  3. Supercard app icon

    Supercard

    Coop

    Order groceries and collect points

    Track shopping points and view digital receipts. Access loyalty cards and digital coupons. Redeem rewards at Coop Group stores. Manage account settings and check balances.

    ★ 4.61,372 ratingsShoppingFreeData updated 2026-09-08
  4. Denner – Aktionen und Weinshop app icon

    Denner – Aktionen und Weinshop

    DENNER AG

    Shop and save with promotions.

    The app allows users to customize their experience, activate sale alerts for selected products, and view current promotions. Users can also create and share shopping lists, order wine online, and find store information.

    ★ 3.45 ratingsShoppingFreeData updated 2026-09-30
  5. ländleanzeiger Kleinanzeigen app icon

    ländleanzeiger Kleinanzeigen

    Russmedia Digital GmbH

    Buy and sell daily items quickly

    Buy and sell secondhand or new items locally. Upload photos and descriptions to list items. Browse listings for cars, real estate, and marketplace goods. Search by category or region. Message sellers directly.

    ★ 4.527 ratingsShoppingFreeData updated 2026-09-08

How we rank alternatives

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