Short version: I've developed a library specifically designed to handle recent searches and their edge cases. Check out https://github.com/JonasBa/recent-searches#readme for instructions on how to use it.
While the examples provided are valid, they don't cover all possible scenarios when storing recent searches. Things like implementing expiration, ranking, or limits for LocalStorage space need to be considered. One major drawback of using LocalStorage is that it's limited to the browser and device where the searches originate from. For example, if you search on your desktop and then switch to your mobile device, recent searches won't sync between the two. The same applies to different domains since LocalStorage is specific to each domain.
When implementing recent searches, remember to consider factors such as:
Expiration: Old queries may become obsolete over time, so having a system in place to manage this is crucial.
Ranking: Prioritizing more recent or relevant searches can enhance the user experience, especially when dealing with similar queries.
Efficiently managing LocalStorage: Simply adding data to LocalStorage without proper organization can lead to performance issues as the storage grows. This can eventually impact your application's speed and usability.
The recent-searches library addresses these challenges and provides solutions to help you create efficient recent searches functionality quickly and effectively!