VineCrawl app icon

Apps Like VineCrawl for iPhone and iPad

by Josh Walton★ 1.02 ratingsFood & DrinkFreeData updated 2026-09-11

VineCrawl screenshots

Ranked alternatives

Showing 481–500 of 1,000 ranked alternatives.

  1. The Wine Hut app icon

    The Wine Hut

    The wine hut Corp

    Order and spirits online

    Browse wines and spirits available in-store. Order for delivery or pickup. View product details and availability. Track order status and manage preferences.

    ★ 4.69 ratingsShoppingFreeData updated 2026-09-10
  2. Wine AI - Scan & Track app icon

    Wine AI - Scan & Track

    Alberto Moral

    Labels and find matches

    Labels or menus to find matching bottles. Receive detailed analysis, tasting notes, and food pairings. Answer questions about budget and occasion for tailored recommendations.

    ★ 4.03 ratingsFood & DrinkFreeData updated 2026-09-06
  3. Espresso.log app icon

    Espresso.log

    Kate Lee

    Log espresso details and track flavor notes

    Record espresso extractions with dose, yield, ratio, time, and temperature tracking. Log tasting notes including acidity, body, and aftertaste. Manage coffee beans and machines in a single . Analyze data to improve consistency and flavor balance.

    ★ 5.02 ratingsFood & DrinkFreeData updated 2026-09-06
  4. FELFEL app icon

    FELFEL

    FelFel AG

    Order food and coffee with your Badge

    Purchase food and coffee using a Badge. View rotating menu items, recipes, and discounts. Set preferences and favorites for personalized recommendations. Register payment methods for seamless transactions.

    ★ 4.25 ratingsFood & DrinkFreeData updated 2026-09-06
  5. Bergenfield Fine Wines app icon

    Bergenfield Fine Wines

    Bottle & Cork LLC

    Browse and order delivery

    Browse and spirits available in-store. Order for delivery or pickup. View product details and prices. Track order status and manage delivery preferences.

    ★ 5.08 ratingsShoppingFreeData updated 2026-09-06

How we rank alternatives

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