SeLoger for a serviced-apartment search in Kuala Lumpur

photosAndMoss

Real estate agent
SeLoger had enough Kuala Lumpur serviced-apartment adverts to help with a shortlist, but listing freshness was difficult to judge. The same-looking units sometimes appeared more than once, and the stated floor areas were not consistent enough for clean comparisons.

Days on market was useful only when an advert appeared current. I would have liked clearer update dates and links to completed-sale records where available. Has anyone found the mobile filters, map pins and saved alerts reliable enough for narrowing by building? I’d use the portal for discovery if those features hold up, then verify availability and the basis of each floor-area figure with the advertiser.
 
Days-on-market can help, but I wouldn’t read it as the age of the opportunity unless refreshed or duplicated adverts are handled consistently. Did the apparent duplicates share identical photos and floor areas, or were agents advertising the same unit with conflicting details? The latter would make any price comparison especially unreliable.
 
The floor-area issue would bother me more than duplicates. For a serviced apartment, a small discrepancy can materially change the price-per-area comparison. I’d ask each advertiser to confirm which area the figure represents, then keep a separate shortlist rather than trusting the cards to be directly comparable. Were the map pins accurate enough to identify the actual building?
 
I disagree slightly: stale status is the bigger obstacle because it wastes time before you can clarify anything else. On first contact, ask whether the exact unit is still available, when the information was last confirmed, and whether the photos, price and area all refer to that unit. A clear sold-record link or price history would also help distinguish a real change from a recycled advert.
 
A practical workaround is to group likely duplicates by building, photos, layout, price and advertiser, then contact only one or two entries from each group. Record the advertised area and the confirmed area separately. Also test saved-search alerts with narrow criteria; if repeated or already-unavailable listings dominate, the alerts are adding noise rather than saving time.
 
That workflow makes sense, especially grouping by building before contacting anyone. I’d also test the same shortlist on desktop and mobile: if mobile filters drop an area or building criterion, apparently broader results may just be filter drift. The OP’s point about the next transaction step remains important—good search coverage only gets you so far if freshness and advertiser responses cannot be compared clearly.
 
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