Dig Deep! app icon

Apps Like Dig Deep! for iPhone and iPad

Mine for treasures and survive the depths

Play a retro mining game with frantic gameplay. Explore randomly generated planets. Use simple one-button controls. Upgrade mining equipment. Complete side missions for rewards. Collect gold and survive dangerous environments.

by Fernando Garcia Bernal★ 4.6495 ratingsGames$2.99Data updated 2026-09-10

Dig Deep! screenshots

Ranked alternatives

Showing 761–780 of 1,000 ranked alternatives.

  1. Claw Digger app icon

    Claw Digger

    Ibrahim Taylan Demirkaya

    Dig, move, and retrieve ores safely

    Play a digging game where players operate a machine to dig for ores. Move the machine, remove ores, and avoid breaking the rope while returning to the surface. Track progress and compete in challenges.

    ★ 5.01 ratingsGamesFreeData updated 2026-09-06
  2. BOULDER DASH 40th Anniversary app icon

    BOULDER DASH 40th Anniversary

    BBG Entertainment GmbH

    Play classic games and explore retro caves

    Play a retro-style platformer featuring diamond mining in caves. Navigate levels with precise movement, collect diamonds, and avoid falling rocks. Includes original soundtrack and -themed visuals. Supports touch controls and high scores tracking.

    ★ 0.00 ratingsGames$19.99Data updated 2026-09-06
  3. Mining Runner app icon

    Mining Runner

    BOOMCODES YAPAY ZEKA SISTEMLERI VE OYUN GELISTIRME ANONIM SIRKETI

    ★ 0.00 ratingsGamesFreeData updated 2026-09-06
  4. Gem-miner app icon

    Gem-miner

    Antier Solutions Private Limited

    ★ 0.00 ratingsGamesFreeData updated 2026-09-06
  5. 2048 Pixels Game app icon

    2048 Pixels Game

    Lukasz Majda

    Play , merge tiles, swipe to win

    Play a pixelated version of the puzzle . Slide tiles to merge numbers and create . Track achievements and compare scores with friends. Features retro graphics, simple swipe controls, and competitive scoring.

    ★ 0.00 ratingsGamesFreeData updated 2026-09-06

How we rank alternatives

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