A program to predict a home's sell price using data scraped from the internet
Project description
homeBuyerFire
Project Overview
A program to predict a home's sell price using data scraped from the internet.
homeBuyerFire
is actively developed using a Python 3.7 interpreter.
Installation
pip install hbf
Example
Starting from the project's parent directory:
python example.py
Scraping Zillow |████████████████████████████████| 7/7
Address Sell Price Beds Baths Home Size Home Type Year Built Heating Cooling Parking Lot Size
0 11705 College View Dr Silver Spring MD 20902 293000.0 2.0 2.0 1526.0 Single Family 1951.0 Forced air Central NaN 6791.0
1 11714 College View Dr Silver Spring MD 20902 465000.0 4.0 3.0 2843.0 Single Family 1962.0 Baseboard, Heat pump, Electric Central NaN 8115.0
2 3406 Glorus Pl Silver Spring MD 20902 785000.0 5.0 5.0 5872.0 Single Family 2006.0 Forced air Central NaN 10890.0
3 11703 College View Dr Silver Spring MD 20902 475000.0 4.0 2.0 1982.0 Single Family 1951.0 Forced air, Gas Central NaN 6930.0
4 3400 Glorus Pl Silver Spring MD 20902 395000.0 4.0 3.0 1914.0 Single Family 1953.0 None, Forced air Central NaN 7178.0
5 11714 Veirs Mill Rd Silver Spring MD 20902 383000.0 6.0 3.0 1836.0 Single Family 1953.0 Forced air Central NaN 6812.0
6 3402 Pendleton Dr Silver Spring MD 20902 340000.0 2.0 1.0 882.0 Single Family 1951.0 Forced air Central NaN 7609.0
--- 15.11016297340393 seconds ---
Contact Info
- @MattThomas9
- @AmritPatel
License
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
hbf-0.1.1.tar.gz
(25.6 kB
view hashes)
Built Distribution
hbf-0.1.1-py3-none-any.whl
(32.3 kB
view hashes)