def test_sort_by_date_ascending(self):
daft = Daft()
daft.set_county("Dublin City")
daft.set_area("Dublin 15")
daft.set_listing_type(SaleType.PROPERTIES)
daft.set_sort_order(SortOrder.ASCENDING)
daft.set_sort_by(SortType.DATE)
daft.set_min_price(150000)
daft.set_max_price(175000)
listings = daft.get_listings()
self.assertTrue(len(listings) > 0)
first = listings[0].get_posted_since().split()
last = listings[-1].get_posted_since().split()
first_date = time.strptime(first[0], "%d/%m/%Y")
last_date = time.strptime(last[0], "%d/%m/%Y")
self.assertTrue(first_date < last_date)
def test_sort_by_price(self):
daft = Daft()
daft.set_county("Dublin City")
daft.set_area("Dublin 15")
daft.set_listing_type(SaleType.PROPERTIES)
daft.set_min_price(150000)
daft.set_max_price(175000)
daft.set_sort_by(SortType.PRICE)
listings = daft.get_listings()
listing = listings[0]
price = listing.get_price()
if "AMV" in price:
price = price[6:]
else:
price = price[1:]
print price
price = price.replace(',', '')
self.assertTrue(len(listings) > 0)
self.assertTrue(int(price) <= 175000)
from daftlistings import Daft, Location, SearchType, SuitableFor
daft = Daft()
daft.set_location(Location.DUBLIN)
daft.set_search_type(SearchType.SHARING)
daft.set_owner_occupied(True)
daft.set_min_tenants(1)
daft.set_max_tenants(1)
daft.set_suitability(SuitableFor.MALE)
daft.set_min_price(1000)
daft.set_max_price(1000)
listings = daft.search()
for listing in listings:
print(listing.title)
print(listing.daft_link)
print("")
# Get the current sale agreed prices for properties in Dublin 15 that are between 200,000 and 250,000.
from daftlistings import Daft, SaleType
daft = Daft()
daft.set_county("Dublin City")
daft.set_area("Dublin 15")
daft.set_listing_type(SaleType.PROPERTIES)
daft.set_sale_agreed(True)
daft.set_min_price(200000)
daft.set_max_price(250000)
listings = daft.get_listings()
for listing in listings:
print(listing.get_formalised_address())
print(listing.get_daft_link())
facilities = listing.get_facilities()
if facilities is not None:
print('Facilities: ')
for facility in facilities:
print(facility)
features = listing.get_features()
if features is not None:
print('Features: ')
for feature in features:
print(feature)
# Find student accommodation near National College of Ireland that is between 500 and 700 per month
# and provides internet facilities.
from daftlistings import Daft, SortOrder, SortType, RentType, University, StudentAccommodationType
offset = 0
while True:
daft = Daft()
daft.set_listing_type(RentType.STUDENT_ACCOMMODATION)
daft.set_university(University.NCI)
daft.set_student_accommodation_type(
StudentAccommodationType.ROOMS_TO_SHARE)
daft.set_min_price(800)
daft.set_max_price(1000)
daft.set_sort_by(SortType.PRICE)
daft.set_sort_order(SortOrder.ASCENDING)
daft.set_offset(offset)
listings = daft.search()
if len(listings) == 0:
break
for listing in listings:
facilities = listing.facilities
if facilities is not None:
if "Internet" in facilities:
for facility in facilities:
print(facility)
print(listing.price)
print(listing.formalised_address)
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)
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)
# You can sort the listings by price, distance, upcoming viewing or date using the SortType object.
# The SortOrder object allows you to sort the listings descending or ascending.
from daftlistings import Daft, SortOrder, SortType, RentType
daft = Daft()
daft.set_county("Dublin City")
daft.set_listing_type(RentType.FLAT)
daft.set_sort_order(SortOrder.ASCENDING)
daft.set_sort_by(SortType.PRICE)
daft.set_min_price(500)
daft.set_max_price(1200)
listings = daft.get_listings()
for listing in listings:
print(listing.get_formalised_address())
print(listing.get_daft_link())
print(listing.get_price())
facilities = listing.get_facilities()
if facilities is not None:
print('Facilities: ')
for facility in facilities:
print(facility)
features = listing.get_features()
if features is not None:
print('Features: ')
from daftlistings import Daft, Location, SearchType, PropertyType
daft = Daft()
daft.set_location(Location.DUBLIN)
daft.set_search_type(SearchType.RESIDENTIAL_SALE)
daft.set_property_type(PropertyType.HOUSE)
daft.set_min_price(400000)
daft.set_max_price(500000)
listings = daft.search()
for listing in listings:
print(listing.title)
print(listing.price)
print(listing.daft_link)
print()