def get_current(post_code):
api = zoopla.api(version=1,
api_key='h8w8e3vza6wprx4qeeyvhdd3',
cache_seconds=0)
ret = list()
listings = api.property_listings(area=post_code,
max_results=None,
listing_status='sale')
for listing in listings:
es_entry = entry_utils.fill_esentry_zoopla(listing)
es_entry['fetch_query'] = post_code
entry_utils.update_esentry_geo(es_entry)
ret.append(es_entry)
return ret
def append_rental_information(name, lat, lon, file_name):
api = zoopla.api(version=1, api_key=API_KEY)
request_interval = 3600/RATE_LIMIT + 1
try:
listings = list(api.property_listings(latitude=lat, longitude=lon, **SEARCH_OPTIONS))
current_store = cPickle.load(open(file_name, 'r'))
current_store[name] = listings
cPickle.dump(current_store, open(file_name, 'w+'))
print('Fetched {}, found {} listings'.format(name, len(listings)))
time.sleep(request_interval)
except Exception as e:
print 'Failed with error {} on name {} and coords {}'.format(e, name, (lat, lon))
import tornado.web
import json
import zoopla
import urllib.parse
import math
import polyline
import requests
trovit_client_id = 'CLIENT_ID'
zoopla_key = 'API_KEY'
proxies = {}
use_proxy = False
if use_proxy:
proxies['http'] = 'http://127.0.0.1:8989'
api = zoopla.api(version=1, api_key=zoopla_key)
def list_properties_nestoria(latitude,
longitude,
radius,
min_bedrooms,
min_bathrooms,
min_price=0,
max_price=0):
(lat_min, lon_min, lat_max, lon_max) = boundingBox(latitude, longitude,
radius)
payload = {
'action': 'search_listings',
'encoding': 'json',
'south_west': '%f,%f' % (lat_min, lon_min),
def get_api():
key = json.load(open('resources/zoopla_key.json', 'r'))
return zoopla.api(version=1, api_key=key, cache_seconds=CACHE_LENGTH)
import zoopla
import pandas as pd
api = zoopla.api(version=1, api_key='gh2q9a6bkwk6req537gngfe5')
CSV_FILE = 'test.csv'
def read_postcodes(CSV_FILE):
df = pd.read_csv(CSV_FILE)
return df
def write_to_file():
pass
data = read_postcodes(CSV_FILE)
house_price_list = []
for pc in data['postcode']:
print pc
out = api.average_sold_prices(postcode=pc, output_type='outcode', area_type='postcodes')
average_sold_price_list = []
for item in out['areas']:
# building in some redundancy by having the 3 year price as well
item_price_1year = int(item['average_sold_price_1year'])
item_price_3year = int(item['average_sold_price_3year'])
if item_price_1year != 0:
average_sold_price_list.append(item_price_1year)
if item_price_3year != 0:
average_sold_price_list.append(item_price_3year)
if len(average_sold_price_list) == 0: