pyRealtor 0.1.0

Python package for fetching and analyzing REALTOR.CA MLS Listings

pyRealtor is a python package that provides fast an easy way to extract Multiple Listing Service (MLS) details, such as house sale/rent price, number of bedrooms, stories, ammenities nearby etc. of any city within Canada. The library provides functionality to easily store the extracted data in excel sheet for further analysis.

pyRealtor can be used to

• Analyze all real estate listing in a specific area.
• Find only Open House on a specifc day in a particular area.

Installing

• The easiest way to install the library is to execute (preferably in a virtualenv) the command:

pip install pyRealtor

2. From the source code

git clone https://github.com/rachitt96/pyRealtor.git
cd pyRealtor
python setup.py install

Usage

1. To get all real estate properties for sale in specific area

import pyRealtor

house_obj = pyRealtor.HousesFacade()
house_obj.search_save_houses(
    search_area='Barrhaven',
    report_file_name='barrhaven_all_listings.xlsx'
)

2. To get only Open House listings in a specific area

import pyRealtor

house_obj = pyRealtor.HousesFacade()
house_obj.search_save_houses(
    search_area='CITY/SUBURB',
    report_file_name='FILES_TO_LOAD_LISTINGS.xlsx',
    open_house_date = 'MM/DD/YYYY'
)

import pyRealtor

house_obj = pyRealtor.HousesFacade()
house_obj.search_save_houses(
    search_area='Barrhaven',
    report_file_name='barrhaven_all_listings.xlsx',
    open_house_date = '10/29/2023'
)