키워드 뉴스 -  원하는 관심뉴스만 쏙쏙 app icon

Apps Like 키워드 뉴스 - 원하는 관심뉴스만 쏙쏙 for iPhone and iPad

by JeongHo Hong★ 0.00 ratingsNewsFreeData updated 2026-09-08

키워드 뉴스 - 원하는 관심뉴스만 쏙쏙 screenshots

Ranked alternatives

Showing 1–20 of 1,000 ranked alternatives.

  1. 다나와 장터 app icon

    다나와 장터

    Connectwave Co.,Ltd.

    Find and sell used goods quickly.

    The app provides a used goods marketplace with seller verification for enhanced trust. It offers push notifications for keyword matches and comments, and displays items from preferred categories on the main list.

    ★ 0.00 ratingsLifestyleFreeData updated 2026-09-26
  2. 한겨레 app icon

    한겨레

    Hankyoreh media company

    News, opinions, and life content.

    The app presents news, opinions, and life content from Hankyoreh. Users can create a personalized feed by subscribing to keywords, issues, series, and reporters.

    ★ 3.211 ratingsNewsFreeData updated 2026-09-17
  3. JTBC 뉴스 app icon

    JTBC 뉴스

    JTBC Co.,Ltd

    Experience JTBC news easily and quickly.

    The app provides diverse JTBC content, including live broadcasts and digital originals. Users can quickly access breaking news through a timeline and enjoy uninterrupted, high-definition video playback for focused news consumption.

    ★ 3.826 ratingsNewsFreeData updated 2026-09-25
  4. 패션 & 스타일 app icon

    패션 & 스타일

    Fashion & Style Company Inc.

    Follow trends, discover styles, track outfits

    Follow trending fashion and style keywords to discover new items and brands. View daily fashion coordination tips sorted by style. Save and share favorite content. Track real-time fashion trends and celebrity styling.

    ★ 5.02 ratingsNewsFreeData updated 2026-09-06
  5. 머니투데이 뉴스 app icon

    머니투데이 뉴스

    Money Today Co., Ltd

    News without advertisements for users.

    The app provides news content without advertisements. Users can select preferred stocks to view their latest information.

    ★ 2.05 ratingsNewsFreeData updated 2026-09-12

How we rank alternatives

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