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A python script that produces a CSV ready dump of house properties for further manipulation via spreadsheet.

The script also calculates distance to popular transit locations as well as finds the walk score.

Example use:

$ python3 app.py "123 Street, City, ST ZIP"

Built,Lot,Price,Bed,Bth,Sqft,Cost (Sqft),Taxes, AIR, METRA, BUS, walkscore
1963,6999,378000,4,2.0,1340,229,7149.06,27,7,11,29

Prerequisites

Run manually

Set env variables

export KEY=<GCP MAPS API KEY>
export WS=<WALKSCORE API KEY>

Install required packages and use python

pip3 install -r requirements.txt
python3 app.py "36 Lawrence Rd, Alameda, CA 94502"

Run with Docker

docker run -e KEY -e WS redfin-sheets:v0.1 "3044 Pine St, San Francisco, CA 94115"

Maintain

Generate / update requirements.txt

pip install pipreqs
pipreqs ./ --force 

Build the docker container

docker build -t redfin-sheets:v0.1 . 

About

House hunting help: Address -> CSV data -> Compare

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