#EXAMPLE TO GET BLOCK FOR ADDRESS http://geocoding.geo.census.gov/geocoder/geographies/address?street=4600+Silver+Hill+Rd&city=Suitland&state=MD&benchmark=Public_AR_Census2010&vintage=Census2010_Census2010&layers=14&format=json

#RESOURCES TO GET DATA BY BLOCKS http://api.census.gov/data/2010/sf1.html

Setup virtual environment

$ virtualenv venv 
$ source venv/bin/activate
$ pip install -r requirements.txt

Create a filed name key.ini as follows

[key]
value: YOUR_KEY

CSV 'addresses.csv' with fields ordered: id street city state zip

Create a postgres database locally. (first time setup only)

$  sudo -u postgres createdb cenus

Add the tables to your database

$ python models.py

Get geography for the addresses listed in addresses.csv. First import the addresses from csv to the DB. Name the file "addresses.csv" and arrange the columns: id, street, city, state, zipcode

$ python import_addresses.py

Download query data for each address

$ python download_geography.py

Parse results and import to DB

$ python parse_geography.py

Download and then parse block data

$ python download_blkdata.py
$ python parse_blkdata.py

Export to csv

$ python export.py