def test_properties_with_max_beds(self):
daft = Daft()
daft.set_county('Dublin')
daft.set_min_beds(3)
daft.set_max_beds(3)
listings = daft.search()
self.assertTrue(len(listings) > 0)
listing = listings[0]
self.assertTrue(listing.bedrooms == 3)
def test_search_properties_for_sale(self, mock_post):
url = "https://search-gateway.dsch.ie/v1/listings"
payload = {
"section":
"residential-for-sale",
"andFilters": [{
"name":
"facilities",
"values": [
"wired-for-cable-television",
"alarm",
"wheelchair-access",
"gas-fired-central-heating",
],
}],
"ranges": [
{
"name": "salePrice",
"from": "250000",
"to": "300000"
},
{
"name": "numBeds",
"from": "3",
"to": "3"
},
{
"name": "ber",
"from": "0",
"to": "0"
},
{
"name": "floorSize",
"from": "1000",
"to": "1000"
},
{
"name": "firstPublishDate",
"from": "now-14d/d",
"to": ""
},
],
"geoFilter": {
"storedShapeIds": ["3"],
"geoSearchType": "STORED_SHAPES"
},
"sort":
"priceAsc",
"paging": {
"from": "0",
"pagesize": "50"
},
}
headers = {
"Content-Type": "application/json",
"brand": "daft",
"platform": "web",
}
daft = Daft()
daft.set_search_type(SearchType.RESIDENTIAL_SALE)
daft.set_location(Location.KILDARE)
daft.set_location("Kildare")
daft.set_sort_type(SortType.PRICE_ASC)
daft.set_max_price(300000)
daft.set_min_price(250000)
daft.set_min_beds(3)
daft.set_max_beds(3)
daft.set_min_ber(Ber.A1)
daft.set_max_ber(Ber.A1)
daft.set_max_floor_size(1000)
daft.set_min_floor_size(1000)
daft.set_added_since(AddedSince.DAYS_14)
daft.set_facility(Facility.WIRED_FOR_CABLE_TELEVISION)
daft.set_facility(Facility.ALARM)
daft.set_facility(Facility.WHEELCHAIR_ACCESS)
daft.set_facility(Facility.CENTRAL_HEATING_GAS)
daft.search()
mock_post.assert_called_with(url, headers=headers, json=payload)
print(
"[W] Unable to read cache file. Don't worry if you start from scretch."
)
# search listings on daft
print("[*] Reading Daft.")
listings = []
offset = 0
daft = Daft()
try:
daft.set_county(config["rent_county"])
daft.set_area(config["rent_area"])
daft.set_listing_type(RentType.ANY)
daft.set_max_price(config["rent_max_price"])
daft.set_min_beds(config["rent_min_bedroom"])
daft.set_max_beds(config["rent_max_bedroom"])
except:
print("[E] Configuration is broken.")
sys.exit(-1)
while True:
l = daft.search()
if len(l) == 0:
break
for listing in l:
if listing.daft_link in cached:
continue
listings.append(listing)
cached[listing.daft_link] = ''
offset += 20
daft.set_offset(offset)
print("[*] %d new listing(s) found." % len(listings))
def test_search_properties_for_rent(self, mock_post):
url = "https://search-gateway.dsch.ie/v1/listings"
payload = {
"section":
"residential-to-rent",
"andFilters": [{
"name": "facilities",
"values": ["alarm", "parking", "cable-television"],
}],
"ranges": [
{
"name": "rentalPrice",
"from": "2000",
"to": "2500"
},
{
"name": "numBeds",
"from": "1",
"to": "2"
},
{
"name": "ber",
"from": "0",
"to": "0"
},
{
"name": "floorSize",
"from": "1000",
"to": "1000"
},
{
"name": "firstPublishDate",
"from": "now-14d/d",
"to": ""
},
],
"geoFilter": {
"storedShapeIds": ["3"],
"geoSearchType": "STORED_SHAPES"
},
"sort":
"priceDesc",
"paging": {
"from": "0",
"pagesize": "50"
},
}
headers = {
"Content-Type": "application/json",
"brand": "daft",
"platform": "web",
}
daft = Daft()
daft.set_search_type(SearchType.RESIDENTIAL_RENT)
daft.set_location(Location.KILDARE)
daft.set_location("Kildare")
daft.set_sort_type(SortType.PRICE_DESC)
daft.set_max_price(2500)
daft.set_min_price(2000)
daft.set_min_beds(1)
daft.set_max_beds(2)
daft.set_min_ber(Ber.A1)
daft.set_max_ber(Ber.A1)
daft.set_max_floor_size(1000)
daft.set_min_floor_size(1000)
daft.set_added_since(AddedSince.DAYS_14)
daft.set_facility(Facility.ALARM)
daft.set_facility(Facility.PARKING)
daft.set_facility(Facility.CABLE_TELEVISION)
daft.search()
mock_post.assert_called_with(url, headers=headers, json=payload)
from daftlistings import Daft, SortOrder, SortType, RentType, MapVisualization
import pandas as pd
daft = Daft()
daft.set_county("Dublin City")
daft.set_listing_type(RentType.ANY)
daft.set_sort_order(SortOrder.ASCENDING)
daft.set_sort_by(SortType.PRICE)
# must sort by price in asending order, MapVisualization class will take care of the weekly/monthly value mess
daft.set_max_price(2400)
daft.set_min_beds(2)
daft.set_max_beds(2)
listings = daft.search()
properties = []
print(
"Translating {} listing object into json, it will take a few minutes".format(
str(len(listings))
)
)
print("Igonre the error message")
for listing in listings:
try:
if listing.search_type != "rental":
continue
properties.append(listing.as_dict_for_mapping())
except:
continue
df = pd.DataFrame(properties)