import numpy as np
import pandas as pd
!pip install python-craigslist
from craigslist import CraigslistHousing
from craigslist import CraigslistJobs
CraigslistHousing.show_filters()
cl_h=CraigslistHousing(site='newyork',area='mnh',category='aap',filters={'zip_code':'10011'})
res=[]
for result in cl_h.get_results(sort_by='newest',geotagged=True):
res.append(result)
from pandas.io.json import json_normalize
df=json_normalize(res)
df.head()
##GOOGLE
gkey='AIzaSyBEeAEgxHYbnRkYwQem7vDrHpYzmzUf-oc'
pip.main(['install','googlemaps'])
import googlemaps
gapi=googlemaps.Client(key=gkey)
dr=gapi.directions("40.52552 -74.43821","40.75689 -73.99101",mode="driving",avoid="ferries")
dr[0]['legs'][0]['distance']
dr[0]['legs'][0]['duration']
