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https://github.com/Bunsly/HomeHarvest.git
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3 Commits
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5c2498c62b | ||
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d775540afd | ||
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5ea9a6f6b6 |
@@ -11,8 +11,6 @@
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- **Source**: Fetches properties directly from **Realtor.com**.
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- **Data Format**: Structures data to resemble MLS listings.
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- **Export Flexibility**: Options to save as either CSV or Excel.
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- **Usage Modes**:
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- **Python**: For those who'd like to integrate scraping into their Python scripts.
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[Video Guide for HomeHarvest](https://youtu.be/J1qgNPgmSLI) - _updated for release v0.3.4_
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@@ -21,7 +19,7 @@
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## Installation
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```bash
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pip install homeharvest
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pip install -U homeharvest
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```
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_Python version >= [3.10](https://www.python.org/downloads/release/python-3100/) required_
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@@ -126,6 +124,7 @@ Property
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│ ├── days_on_mls
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│ ├── list_price
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│ ├── list_date
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│ ├── pending_date
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│ ├── sold_price
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│ ├── last_sold_date
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│ ├── price_per_sqft
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@@ -144,4 +143,4 @@ The following exceptions may be raised when using HomeHarvest:
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- `InvalidListingType` - valid options: `for_sale`, `for_rent`, `sold`
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- `InvalidDate` - date_from or date_to is not in the format YYYY-MM-DD
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@@ -23,6 +23,27 @@ class ListingType(Enum):
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SOLD = "SOLD"
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class PropertyType(Enum):
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APARTMENT = "APARTMENT"
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BUILDING = "BUILDING"
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COMMERCIAL = "COMMERCIAL"
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CONDO_TOWNHOME = "CONDO_TOWNHOME"
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CONDO_TOWNHOME_ROWHOME_COOP = "CONDO_TOWNHOME_ROWHOME_COOP"
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CONDO = "CONDO"
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CONDOS = "CONDOS"
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COOP = "COOP"
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DUPLEX_TRIPLEX = "DUPLEX_TRIPLEX"
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FARM = "FARM"
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INVESTMENT = "INVESTMENT"
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LAND = "LAND"
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MOBILE = "MOBILE"
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MULTI_FAMILY = "MULTI_FAMILY"
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RENTAL = "RENTAL"
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SINGLE_FAMILY = "SINGLE_FAMILY"
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TOWNHOMES = "TOWNHOMES"
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OTHER = "OTHER"
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@dataclass
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class Address:
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street: str | None = None
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@@ -36,7 +57,7 @@ class Address:
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class Description:
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primary_photo: str | None = None
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alt_photos: list[str] | None = None
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style: str | None = None
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style: PropertyType | None = None
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beds: int | None = None
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baths_full: int | None = None
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baths_half: int | None = None
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@@ -58,6 +79,7 @@ class Property:
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list_price: int | None = None
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list_date: str | None = None
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pending_date: str | None = None
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last_sold_date: str | None = None
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prc_sqft: int | None = None
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hoa_fee: int | None = None
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@@ -9,7 +9,7 @@ from typing import Dict, Union, Optional
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from concurrent.futures import ThreadPoolExecutor, as_completed
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from .. import Scraper
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from ..models import Property, Address, ListingType, Description
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from ..models import Property, Address, ListingType, Description, PropertyType
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class RealtorScraper(Scraper):
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@@ -84,11 +84,10 @@ class RealtorScraper(Scraper):
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garage
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permalink
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}
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primary_photo {
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href
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}
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photos {
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href
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media {
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photos {
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href
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}
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}
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}
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}"""
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@@ -120,9 +119,11 @@ class RealtorScraper(Scraper):
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"list_date") else None
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last_sold_date_str = property_info["basic"]["sold_date"].split("T")[0] if property_info["basic"].get(
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"sold_date") else None
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pending_date_str = property_info["pending_date"].split("T")[0] if property_info.get("pending_date") else None
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list_date = datetime.strptime(list_date_str, "%Y-%m-%d") if list_date_str else None
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last_sold_date = datetime.strptime(last_sold_date_str, "%Y-%m-%d") if last_sold_date_str else None
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pending_date = datetime.strptime(pending_date_str, "%Y-%m-%d") if pending_date_str else None
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today = datetime.now()
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days_on_mls = None
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@@ -150,6 +151,7 @@ class RealtorScraper(Scraper):
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and property_info["basic"].get("sqft")
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else None,
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last_sold_date=last_sold_date,
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pending_date=pending_date,
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latitude=property_info["address"]["location"]["coordinate"].get("lat")
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if able_to_get_lat_long
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else None,
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@@ -158,8 +160,7 @@ class RealtorScraper(Scraper):
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else None,
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address=self._parse_address(property_info, search_type="handle_listing"),
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description=Description(
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primary_photo=property_info["primary_photo"].get("href", "").replace("s.jpg", "od-w480_h360_x2.webp?w=1080&q=75"),
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alt_photos=self.process_alt_photos(property_info.get("photos", [])),
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alt_photos=self.process_alt_photos(property_info.get("media", {}).get("photos", [])),
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style=property_info["basic"].get("type", "").upper(),
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beds=property_info["basic"].get("beds"),
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baths_full=property_info["basic"].get("baths_full"),
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@@ -288,7 +289,7 @@ class RealtorScraper(Scraper):
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]
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def general_search(
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self, variables: dict, search_type: str
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self, variables: dict, search_type: str
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) -> Dict[str, Union[int, list[Property]]]:
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"""
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Handles a location area & returns a list of properties
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@@ -297,6 +298,7 @@ class RealtorScraper(Scraper):
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count
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total
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results {
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pending_date
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property_id
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list_date
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status
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@@ -309,6 +311,7 @@ class RealtorScraper(Scraper):
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is_pending
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}
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description {
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type
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sqft
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beds
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baths_full
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@@ -381,16 +384,15 @@ class RealtorScraper(Scraper):
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if self.listing_type == ListingType.PENDING
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else ""
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)
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listing_type = ListingType.FOR_SALE if self.listing_type == ListingType.PENDING else self.listing_type
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is_foreclosure = ""
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if 'foreclosure' in variables and variables['foreclosure'] == True:
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is_foreclosure = "foreclosure: true"
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if 'foreclosure' in variables and variables['foreclosure'] == False:
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is_foreclosure = "foreclosure: false"
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if variables.get('foreclosure') is True:
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is_foreclosure = "foreclosure: true"
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elif variables.get('foreclosure') is False:
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is_foreclosure = "foreclosure: false"
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if search_type == "comps": #: comps search, came from an address
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query = """query Property_search(
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$coordinates: [Float]!
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@@ -412,7 +414,7 @@ class RealtorScraper(Scraper):
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limit: 200
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offset: $offset
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) %s""" % (
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is_foreclosure,
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is_foreclosure,
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listing_type.value.lower(),
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date_param,
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pending_or_contingent_param,
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@@ -451,7 +453,7 @@ class RealtorScraper(Scraper):
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)
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else: #: general search, came from an address
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query = (
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"""query Property_search(
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"""query Property_search(
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$property_id: [ID]!
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$offset: Int!,
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) {
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@@ -462,7 +464,7 @@ class RealtorScraper(Scraper):
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limit: 1
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offset: $offset
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) %s"""
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% results_query
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% results_query
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)
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payload = {
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@@ -478,12 +480,12 @@ class RealtorScraper(Scraper):
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properties: list[Property] = []
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if (
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response_json is None
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or "data" not in response_json
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or response_json["data"] is None
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or search_key not in response_json["data"]
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or response_json["data"][search_key] is None
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or "results" not in response_json["data"][search_key]
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response_json is None
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or "data" not in response_json
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or response_json["data"] is None
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or search_key not in response_json["data"]
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or response_json["data"][search_key] is None
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or "results" not in response_json["data"][search_key]
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):
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return {"total": 0, "properties": []}
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@@ -498,10 +500,10 @@ class RealtorScraper(Scraper):
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continue
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able_to_get_lat_long = (
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result
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and result.get("location")
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and result["location"].get("address")
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and result["location"]["address"].get("coordinate")
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result
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and result.get("location")
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and result["location"].get("address")
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and result["location"]["address"].get("coordinate")
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)
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is_pending = result["flags"].get("is_pending") or result["flags"].get("is_contingent")
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@@ -552,7 +554,7 @@ class RealtorScraper(Scraper):
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search_variables = {
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"offset": 0,
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}
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search_type = (
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"comps"
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if self.radius and location_type == "address"
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@@ -578,6 +580,9 @@ class RealtorScraper(Scraper):
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return gql_results["properties"]
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else: #: general search, comps (radius)
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if not location_info.get("centroid"):
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return []
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coordinates = list(location_info["centroid"].values())
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search_variables |= {
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"coordinates": coordinates,
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@@ -597,7 +602,7 @@ class RealtorScraper(Scraper):
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"postal_code": location_info.get("postal_code"),
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}
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if self.foreclosure:
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if self.foreclosure:
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search_variables['foreclosure'] = self.foreclosure
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result = self.general_search(search_variables, search_type=search_type)
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@@ -660,7 +665,6 @@ class RealtorScraper(Scraper):
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@staticmethod
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def _parse_description(result: dict) -> Description:
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description_data = result.get("description", {})
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if description_data is None or not isinstance(description_data, dict):
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@@ -680,7 +684,7 @@ class RealtorScraper(Scraper):
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return Description(
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primary_photo=primary_photo,
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alt_photos=RealtorScraper.process_alt_photos(result.get("photos")),
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style=style,
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style=PropertyType(style) if style else None,
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beds=description_data.get("beds"),
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baths_full=description_data.get("baths_full"),
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baths_half=description_data.get("baths_half"),
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@@ -692,7 +696,6 @@ class RealtorScraper(Scraper):
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stories=description_data.get("stories"),
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)
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@staticmethod
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def calculate_days_on_mls(result: dict) -> Optional[int]:
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list_date_str = result.get("list_date")
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@@ -1,6 +1,6 @@
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[tool.poetry]
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name = "homeharvest"
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version = "0.3.12"
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version = "0.3.14"
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description = "Real estate scraping library"
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authors = ["Zachary Hampton <zachary@bunsly.com>", "Cullen Watson <cullen@bunsly.com>"]
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homepage = "https://github.com/Bunsly/HomeHarvest"
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@@ -131,6 +131,15 @@ def test_realtor():
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assert all([result is not None for result in results])
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def test_realtor_city():
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results = scrape_property(
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location="Atlanta, GA",
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listing_type="for_sale",
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)
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assert results is not None and len(results) > 0
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def test_realtor_bad_address():
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bad_results = scrape_property(
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location="abceefg ju098ot498hh9",
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