Building on my previous stock screener, and because at some point I will have to buy a flat in London, I coded this little Screener.

What it does:

Leaning on the public Zoopla Developer API, it runs a query for the flats and sends it straight away in a formatted table to my email address.

Tested with, and assumes you already have at your disposal:

• Ubuntu 16.04;
• Anaconda Python 3.5.3
• Gmail email server.

Install git

sudo apt-get update
sudo apt-get install git

Copy the repository on your computer and rename the sample config file

git clone https://github.com/terzim/ZooplaScreener.git
cd ZooplaScreener
mv sample_zoopla_config.ini zoopla_config.ini

Install the python requirements

(sudo) conda install --yes --file requirements.txt  # If using Anaconda Python distribution

or

(sudo) pip3 install -r requirements.txt # If using a standard Python3 distributions

First thing first you need to open an account with Zoopla and get an API key

Open the zoopla_config.ini file in your favourite text editor. Edit the configuration parameters accordingly.

The instructions are available at this link

Sample config file:

[api_data]
api_key =

[flat_data_str]
area =
order_by =
ordering =
listing_status =
furnished =
property_type =
new_homes =
chain_free =
keywords =
summarised =

[flat_data_num]
radius =
include_sold =
include_rented =
minimum_price =
maximum_price =
minimum_beds =
maximum_beds =
listing_id =
branch_id =
page_number =
page_size =

[output]
output_fields =

[email_data]
send_email =
sender =
recipient =
pwd_sender =
server_name =
server_port =

The screen can be run one-off

python ZooplaScreener.py

or - in alternative - scheduled for periodical execution via crontab (and - possibly - a VPS). For instructions to setup crontab on a VPS, read a shorthand guide here.

Property information powered by Zoopla