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Re:Datamining a Flat in Munich by ryanjshaw on Wednesday September 24, 2014 @08:52AM (#8361134)
As somebody unfamiliar with London but considering moving there, it would be great if instead of specifying a geographical radius for the search I could specify a commuting time radius with respect to the City. This would probably be useful even to natives, as I'm sure there are probably many areas where people overestimate commuting times and consequently avoid an area that otherwise should see greater housing demand (thereby levelling out demand and prices, in time, in other areas).

Of course I understand implementing something like this is quite complex, and you'd most likely have to precompute these things and limit it to a few common business centers as destinations, but it would be really preferable to my current strategy of "look for something that seems reasonably priced and then use another site to figure out if it falls within the 1hr commute window I'm looking for".

Re:Datamining a Flat in Munich by freyfogle on Wednesday September 24, 2014 @09:24AM (#8361263)
This gets asked for occasionally. The thing is though, there are not that many people who truly have no idea where they want to live. Most people have at least some idea based on where their friends already live, where they will be working, etc

Over the years I have seen numerous services that allowed people to search the way you describe. They all typically die out after a year or two, as all evidence suggests there just isn't enough volume of people searching the way you describe to sustain them.

So it's not something we'll focus on. Sorry, I know that's probably a frustrating answer for you.

Good luck with your hunt.

Re:Datamining a Flat in Munich by ryanjshaw on Wednesday September 24, 2014 @06:24PM (#8364515)
Thanks for the insight!
Re:Datamining a Flat in Munich by kalleth on Wednesday September 24, 2014 @09:15AM (#8361223)
www.findproperly.co.uk
Re:Datamining a Flat in Munich by ryanjshaw on Wednesday September 24, 2014 @06:28PM (#8364531)
Perfect, thank you!