Apps Like 3 Places for iPhone and iPad
Ranked alternatives
Showing 1–20 of 1,000 ranked alternatives.



Superlocal: Explore Places Map
Super Computer, Inc
Track visits and relive journeys
AI-powered discovery finds restaurants, cafés, trails, and hidden gems matching your preferences. Fog of World mode gamifies exploration with auto-logging of visits. Track locations and relive journeys through personalized maps.

Atmosfy: Meet Your City
MassFire Media LLC
Explore cities through real-time videos
View real-time videos of events in . Watch ten-second clips showing crowd energy and atmosphere. Use AI companion Tibbs to find recommended spots. Scan locations to see live activity and discover nearby experiences.

Dianping: Discover Good Places
Hanhai Information Technology (Shanghai) Co.Ltd
Explore local businesses and attractions
Local businesses and attractions with user reviews and photos. Search for restaurants, accommodations, and scenic spots. Filter options by cuisine, price, and ratings. Save favorites and receive recommendations based on location and preferences.



Mapstr – Save & Follow Places
Hulab
Locations, get recommendations, explore new
Locations with one tap and access trusted recommendations from friends, professionals, and influencers. View detailed location info, share spots, and receive real-time suggestions based on your current location.





Tripomatic Trip Planner & Maps
Tripomatic s.r.o.
Plan trips, navigate, explore destinations
Plan trips with a detailed itinerary builder that includes estimated travel times and walking distances. View interactive travel guides and navigate using . Add and manage points of interest, and save details for future reference.





World of Mouth
World of Mouth Oy
Explore restaurant recommendations from chefs and writers
Find restaurant recommendations from top chefs, food writers, and sommeliers. Search for dining spots by city or cuisine. View expert favorites and read detailed descriptions. Save and share preferred restaurants.


How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.