HomeHarvest/tests/test_realtor.py

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from homeharvest import scrape_property
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def test_realtor_pending_or_contingent():
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pending_or_contingent_result = scrape_property(location="Surprise, AZ", listing_type="pending")
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regular_result = scrape_property(location="Surprise, AZ", listing_type="for_sale", exclude_pending=True)
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assert all([result is not None for result in [pending_or_contingent_result, regular_result]])
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assert len(pending_or_contingent_result) != len(regular_result)
def test_realtor_pending_comps():
pending_comps = scrape_property(
location="2530 Al Lipscomb Way",
radius=5,
past_days=180,
listing_type="pending",
)
for_sale_comps = scrape_property(
location="2530 Al Lipscomb Way",
radius=5,
past_days=180,
listing_type="for_sale",
)
sold_comps = scrape_property(
location="2530 Al Lipscomb Way",
radius=5,
past_days=180,
listing_type="sold",
)
results = [pending_comps, for_sale_comps, sold_comps]
assert all([result is not None for result in results])
#: assert all lengths are different
assert len(set([len(result) for result in results])) == len(results)
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def test_realtor_sold_past():
result = scrape_property(
location="San Diego, CA",
past_days=30,
listing_type="sold",
)
assert result is not None and len(result) > 0
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def test_realtor_comps():
result = scrape_property(
location="2530 Al Lipscomb Way",
radius=0.5,
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past_days=180,
listing_type="sold",
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)
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assert result is not None and len(result) > 0
def test_realtor_last_x_days_sold():
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days_result_30 = scrape_property(location="Dallas, TX", listing_type="sold", past_days=30)
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days_result_10 = scrape_property(location="Dallas, TX", listing_type="sold", past_days=10)
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assert all([result is not None for result in [days_result_30, days_result_10]]) and len(days_result_30) != len(
days_result_10
)
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def test_realtor_date_range_sold():
days_result_30 = scrape_property(
location="Dallas, TX", listing_type="sold", date_from="2023-05-01", date_to="2023-05-28"
)
days_result_60 = scrape_property(
location="Dallas, TX", listing_type="sold", date_from="2023-04-01", date_to="2023-06-10"
)
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assert all([result is not None for result in [days_result_30, days_result_60]]) and len(days_result_30) < len(
days_result_60
)
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def test_realtor_single_property():
results = [
scrape_property(
location="15509 N 172nd Dr, Surprise, AZ 85388",
listing_type="for_sale",
),
scrape_property(
location="2530 Al Lipscomb Way",
listing_type="for_sale",
),
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]
assert all([result is not None for result in results])
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def test_realtor():
results = [
scrape_property(
location="2530 Al Lipscomb Way",
listing_type="for_sale",
),
scrape_property(location="Phoenix, AZ", listing_type="for_rent", limit=1000), #: does not support "city, state, USA" format
scrape_property(location="Dallas, TX", listing_type="sold", limit=1000), #: does not support "city, state, USA" format
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scrape_property(location="85281"),
]
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assert all([result is not None for result in results])
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def test_realtor_city():
results = scrape_property(
location="Atlanta, GA",
listing_type="for_sale",
limit=1000
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)
assert results is not None and len(results) > 0
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def test_realtor_bad_address():
bad_results = scrape_property(
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location="abceefg ju098ot498hh9",
listing_type="for_sale",
)
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if len(bad_results) == 0:
assert True
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def test_realtor_foreclosed():
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foreclosed = scrape_property(location="Dallas, TX", listing_type="for_sale", past_days=100, foreclosure=True)
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not_foreclosed = scrape_property(location="Dallas, TX", listing_type="for_sale", past_days=100, foreclosure=False)
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assert len(foreclosed) != len(not_foreclosed)
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def test_realtor_agent():
scraped = scrape_property(location="Detroit, MI", listing_type="for_sale", limit=1000)
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assert scraped["agent"].nunique() > 1
def test_realtor_without_extra_details():
results = [
scrape_property(
location="15509 N 172nd Dr, Surprise, AZ 85388",
extra_property_data=False,
),
scrape_property(
location="15509 N 172nd Dr, Surprise, AZ 85388",
),
]
assert not results[0].equals(results[1])
def test_pr_zip_code():
results = scrape_property(
location="00741",
listing_type="for_sale",
)
assert results is not None and len(results) > 0
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def test_exclude_pending():
results = scrape_property(
location="33567",
listing_type="pending",
exclude_pending=True,
)
assert results is not None and len(results) > 0
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def test_style_value_error():
results = scrape_property(
location="Alaska, AK",
listing_type="sold",
extra_property_data=False,
limit=1000,
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)
assert results is not None and len(results) > 0
def test_primary_image_error():
results = scrape_property(
location="Spokane, PA",
listing_type="for_rent", # or (for_sale, for_rent, pending)
past_days=360,
radius=3,
extra_property_data=False,
)
assert results is not None and len(results) > 0
def test_limit():
over_limit = 876
extra_params = {"limit": over_limit}
over_results = scrape_property(
location="Waddell, AZ",
listing_type="for_sale",
**extra_params,
)
assert over_results is not None and len(over_results) <= over_limit
under_limit = 1
under_results = scrape_property(
location="Waddell, AZ",
listing_type="for_sale",
limit=under_limit,
)
assert under_results is not None and len(under_results) == under_limit
def test_apartment_list_price():
results = scrape_property(
location="Spokane, WA",
listing_type="for_rent", # or (for_sale, for_rent, pending)
extra_property_data=False,
)
assert results is not None
results = results[results["style"] == "APARTMENT"]
#: get percentage of results with atleast 1 of any column not none, list_price, list_price_min, list_price_max
assert len(results[results[["list_price", "list_price_min", "list_price_max"]].notnull().any(axis=1)]) / len(
results
) > 0.5