Apps Like TripSpot for iPhone and iPad
TripSpot screenshots
Ranked alternatives
Showing 281–300 of 1,000 ranked alternatives.


MADRID Guide Tickets & Hotels
ZF srl
Plan trips with offline maps and hotel
Plan trips with offline maps, detailed directions, and attraction listings. Access insider tips and travel content. Book and read restaurant reviews. Share and view user-generated content.


iSh@re
richard prandini
Find nearby places to visit
Share recommendations from trusted friends and view their ratings for restaurants, bars, and places. Search for locations nearby and filter by friend-approved suggestions. Rate and comment on places to help others make choices.


Sense: Nightlife Statistics
Matthew Lee
Check wait times and crowd size
Find nearby bars and clubs with real-time wait times, crowd size, and gender ratio data. Check live updates before leaving pregame. Share locations with friends and track line wait times.

LEGOLAND® Windsor Resort
Merlin Entertainments Group Ltd
Plan your LEGOLAND® visit and activities
Plan and customize your visit by specifying your party members and selecting favorite rides. Check ride suitability based on age and add favorites to track progress.



Savor Food
Loudgain LLC
Share what users savor most.
The app allows users to post, rate, and share selected dishes when dining out. It provides a feed of local posts and alerts users to highly-rated menu items nearby.



VIENNA Guide Tickets & Hotels
ZF srl
Plan trips with offline maps and hotel
Access offline maps for navigation. Explore attractions with detailed guides and insider tips. Plan trips by booking and reading restaurant reviews. Share and view user-generated content for local insights.


Erbil Tour Guide
Carrot Apps LTD
A guide to the city Erbil.
The app provides a guide to Erbil, the capital city of the Kurdistan Region. Users can find details and contact information for various locations, including attractions, hotels, and restaurants, with map integration for proximity.





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