Toronto Real Estate Firm Launches Novel Condo Directory Website

Essential Information For Condo Buyers: Square Foot Data, Price Per Square Foot Data, Historical Price Trends All In One Place

Toronto real estate firm Condos.ca has announced the beta launch of a new website featuring one of the most comprehensive databases of Toronto condos available. The site displays accurate square footage data on over 100,000 condo units in over 1000 condo buildings in Toronto.

The directory is fast, reliable, user friendly and is a valuable, authentic and comprehensive resource on Toronto condos and anyone searching for condos for sale in Toronto will find this site highly beneficial, relevant and useful.

Launched this week, the website, leveraging state of the art technology in its innovative draggable search tool, helps prospective condo buyers and those seeking to rent a condo in Toronto search and locate condos in any geo location of their choice in Toronto.

The site accurately reports name & address of the condo building, number of units, number of floors, type, price per sq.ft, price trends over a specific period and the year in which the condo was built - vital information to those concerned.

Many condo buyers are frustrated by listings with vague or inaccurate sizes. Condos.ca will prove to be a reliable resource for every condominium buyer in Toronto. Its Toronto condos database has accurate square footage data on over 100,000 units in over 1000 building and shows consumers price per square foot information and historical price trends on a per Sqft basis.

Going forward, the firm looks forward to building on its Toronto condo database, rolling out new features, and expanding to other Canadian cities and towns. Condos.ca aims to be the premiere website for those in Canada searching for condos. The site is user friendly and updated regularly offering extensive and accurate information about condos and condo buildings across the GTA. Buyers, Sellers & Realtors will find this site very valuable as it simplifies their search by isolating condos in a personalized format.

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