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- remove neighborhoods
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- rename data
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ZacharyHampton committed Oct 5, 2023
1 parent 8a5f0dc commit 37e20f4
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Showing 2 changed files with 44 additions and 56 deletions.
2 changes: 1 addition & 1 deletion homeharvest/core/scrapers/realtor/__init__.py
Original file line number Diff line number Diff line change
Expand Up @@ -459,7 +459,7 @@ def general_search(
if able_to_get_lat_long
else None,
address=self._parse_address(result, search_type="general_search"),
neighborhoods=self._parse_neighborhoods(result),
#: neighborhoods=self._parse_neighborhoods(result),
description=self._parse_description(result),
)
properties.append(realty_property)
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98 changes: 43 additions & 55 deletions homeharvest/utils.py
Original file line number Diff line number Diff line change
@@ -1,74 +1,62 @@
from .core.scrapers.models import Property, ListingType
import pandas as pd
from .exceptions import InvalidListingType

ordered_properties = [
"PropertyURL",
"MLS",
"MLS #",
"Status",
"Style",
"Street",
"Unit",
"City",
"State",
"Zip",
"Beds",
"FB",
"NumHB",
"EstSF",
"YrBlt",
"ListPrice",
"Lst Date",
"Sold Price",
"COEDate",
"LotSFApx",
"PrcSqft",
"LATITUDE",
"LONGITUDE",
"Stories",
"HOAFee",
"PrkgGar",
"Community",
"property_url",
"mls",
"mls_id",
"status",
"style",
"street",
"unit",
"city",
"state",
"zip_code",
"beds",
"full_baths",
"half_baths",
"sqft",
"year_built",
"list_price",
"list_date",
"sold_price",
"last_sold_date",
"lot_sqft",
"price_per_sqft",
"latitude",
"longitude",
"stories",
"hoa_fee",
"parking_garage",
]


def process_result(result: Property) -> pd.DataFrame:
prop_data = {prop: None for prop in ordered_properties}
prop_data.update(result.__dict__)
prop_data["PropertyURL"] = prop_data["property_url"]
prop_data["MLS"] = prop_data["mls"]
prop_data["MLS #"] = prop_data["mls_id"]
prop_data["Status"] = prop_data["status"]

if "address" in prop_data:
address_data = prop_data["address"]
prop_data["Street"] = address_data.street
prop_data["Unit"] = address_data.unit
prop_data["City"] = address_data.city
prop_data["State"] = address_data.state
prop_data["Zip"] = address_data.zip
prop_data["street"] = address_data.street
prop_data["unit"] = address_data.unit
prop_data["city"] = address_data.city
prop_data["state"] = address_data.state
prop_data["zip_code"] = address_data.zip

prop_data["ListPrice"] = prop_data["list_price"]
prop_data["Lst Date"] = prop_data["list_date"]
prop_data["COEDate"] = prop_data["last_sold_date"]
prop_data["PrcSqft"] = prop_data["prc_sqft"]
prop_data["HOAFee"] = prop_data["hoa_fee"]
prop_data["price_per_sqft"] = prop_data["prc_sqft"]

description = result.description
prop_data["Style"] = description.style
prop_data["Beds"] = description.beds
prop_data["FB"] = description.baths_full
prop_data["NumHB"] = description.baths_half
prop_data["EstSF"] = description.sqft
prop_data["LotSFApx"] = description.lot_sqft
prop_data["Sold Price"] = description.sold_price
prop_data["YrBlt"] = description.year_built
prop_data["PrkgGar"] = description.garage
prop_data["Stories"] = description.stories

prop_data["LATITUDE"] = prop_data["latitude"]
prop_data["LONGITUDE"] = prop_data["longitude"]
prop_data["Community"] = prop_data["neighborhoods"]
prop_data["style"] = description.style
prop_data["beds"] = description.beds
prop_data["full_baths"] = description.baths_full
prop_data["half_baths"] = description.baths_half
prop_data["sqft"] = description.sqft
prop_data["lot_sqft"] = description.lot_sqft
prop_data["sold_price"] = description.sold_price
prop_data["year_built"] = description.year_built
prop_data["parking_garage"] = description.garage
prop_data["stories"] = description.stories

properties_df = pd.DataFrame([prop_data])
properties_df = properties_df.reindex(columns=ordered_properties)
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