It's been around a month since Pokemon GO first rolled out, people still seem to be obsessed with the game. We're guessing there are plenty who are struggling to locate fresh Pokemon now, which might mean they need a helping hand.
The trouble is, Niantic have hit Pokemon GO players with a bit of a double whammy. Not only did they respond to the broken Pokemon tracking feature by removing it altogether, but they also banned access to their data for a number of reliable third party tracking tools, such as PokeVision.
There are still some Pokemon tracking tools out there, though they're of varying quality and usefulness. Here's a run-down of four of them.
We should note that none of these apps is anywhere near 100 percent accurate, as evidenced by their varying results. They also vary in usefulness by location, with those in big cities seeming to get better results in general.
Our advice: download them all and see which are most useful for your particular area.
Go Radar has a lot going for it. It's free, doesn't require login, and it has one of the crisper UIs of the lot. You can also set a handy filter so that you steer clear of all those Pidgeys and Weedles. It uses crowdsourced data to map out where the Pokemon are hiding, which proves to be useful in big cities and towns, but not so useful out in the sticks.
Poke Radar has been one of the more popular Pokemon GO trackers since the great third party cull. Again, it uses crowdsourced data, but it seems well spread out on that front, with a web app as well as iOS and Android apps - though unlike the others on this list, you'll have to pay for the mobile apps. Having said that, the data for less populated areas seems to be a little patchy.
PokeAlert doesn't show you Gym and Pokestop locations, which is a bit of a bummer (though hardly a deal-breaker), but we quite like its interface - in particular the way you get little Pokemon sprites representing their locations.
Poke Locator works in a similar way to other Pokemon GO tracking apps, but it has the added bonus of a social network-like up or downvoting system. If you follow a tip for a Raichu (operating a 'last seen' timestamp basis) and find it to be bogus, you can give it the thumbs down and help your fellow trainers. Again, the data isn't 100 percent accurate, but we appreciate the clear attempt to address that.