README.md

Centadata API 中原數據 API

This is a little script written in node.js to scrape data off from http://hk.centadata.com/, a major real estate agent in Hong Kong.

What it does

It retrieves the list of all properties in Hong Kong, subdivided into different districts. The detail is down to estate level. The details include Property name, Address, Building Age and Recent usage price (per feet).

How to use

1. Clone this project
2. Make sure you have node.js and npm installed
3. At project root folder, run npm install to install the dependencies
4. Run node main.js to run. By default it will create a property-list.txt
5. Tweak the script to make your own format of output

Sample output:

Region: HK
        District: 堅尼地城/西營盤
                Property: 如意大樓
                        Address: 卑路乍街18A-20A號
                        Building Age: 61
                        Recent price per ft: -
                Property: 泓都
                        Address: 堅尼地城新海旁街38號
                        Building Age: 15
                        Recent price per ft: $22651($19710~ $24281)
                Property: 均益大廈
                        Address: 德輔道西
                        Building Age: 41~45
                        Recent price per ft: $13871($12351~ $15595)
                Property: 嘉輝花園
                        Address: 士美非路71-77號
                        Building Age: 33
                        Recent price per ft: $19573($19573~ $19573)
                Property: 海都樓
                        Address: 卑路乍街7-11號
                        Building Age: 53
                        Recent price per ft: -
...

Disclaimer

I am not affiliated with Centadata.