- pending listing support
- removal of pending_or_contingent parampull/34/head v0.3.4
parent
9f50d33bdb
commit
6ede8622cc
11
README.md
11
README.md
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@ -45,9 +45,8 @@ filename = f"HomeHarvest_{current_timestamp}.csv"
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properties = scrape_property(
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properties = scrape_property(
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location="San Diego, CA",
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location="San Diego, CA",
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listing_type="sold", # or (for_sale, for_rent)
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listing_type="sold", # or (for_sale, for_rent, pending)
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past_days=30, # sold in last 30 days - listed in last x days if (for_sale, for_rent)
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past_days=30, # sold in last 30 days - listed in last x days if (for_sale, for_rent)
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# pending_or_contingent=True # use on for_sale listings to find pending / contingent listings
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# mls_only=True, # only fetch MLS listings
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# mls_only=True, # only fetch MLS listings
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# proxy="http://user:pass@host:port" # use a proxy to change your IP address
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# proxy="http://user:pass@host:port" # use a proxy to change your IP address
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)
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)
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@ -69,7 +68,7 @@ positional arguments:
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location Location to scrape (e.g., San Francisco, CA)
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location Location to scrape (e.g., San Francisco, CA)
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options:
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options:
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-l {for_sale,for_rent,sold}, --listing_type {for_sale,for_rent,sold}
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-l {for_sale,for_rent,sold,pending}, --listing_type {for_sale,for_rent,sold,pending}
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Listing type to scrape
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Listing type to scrape
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-o {excel,csv}, --output {excel,csv}
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-o {excel,csv}, --output {excel,csv}
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Output format
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Output format
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@ -81,9 +80,6 @@ options:
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-r RADIUS, --radius RADIUS
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-r RADIUS, --radius RADIUS
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Get comparable properties within _ (e.g., 0.0) miles. Only applicable for individual addresses.
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Get comparable properties within _ (e.g., 0.0) miles. Only applicable for individual addresses.
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-m, --mls_only If set, fetches only MLS listings.
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-m, --mls_only If set, fetches only MLS listings.
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-c, --pending_or_contingent
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If set, fetches only pending or contingent listings. Only applicable for for_sale listings from general area searches.
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```
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```
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```bash
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```bash
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homeharvest "San Francisco, CA" -l for_rent -o excel -f HomeHarvest
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homeharvest "San Francisco, CA" -l for_rent -o excel -f HomeHarvest
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@ -110,6 +106,7 @@ Required
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- 'for_rent'
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- 'for_rent'
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- 'for_sale'
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- 'for_sale'
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- 'sold'
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- 'sold'
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- 'pending'
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Optional
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Optional
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├── radius (decimal): Radius in miles to find comparable properties based on individual addresses.
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├── radius (decimal): Radius in miles to find comparable properties based on individual addresses.
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@ -117,8 +114,6 @@ Optional
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│
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│
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├── past_days (integer): Number of past days to filter properties. Utilizes 'last_sold_date' for 'sold' listing types, and 'list_date' for others (for_rent, for_sale).
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├── past_days (integer): Number of past days to filter properties. Utilizes 'last_sold_date' for 'sold' listing types, and 'list_date' for others (for_rent, for_sale).
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│ Example: 30 (fetches properties listed/sold in the last 30 days)
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│ Example: 30 (fetches properties listed/sold in the last 30 days)
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├── pending_or_contingent (True/False): If set, fetches only pending or contingent listings. Only applicable for `for_sale listings` from general area searches.
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│
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│
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├── mls_only (True/False): If set, fetches only MLS listings (mainly applicable to 'sold' listings)
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├── mls_only (True/False): If set, fetches only MLS listings (mainly applicable to 'sold' listings)
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│
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│
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@ -13,7 +13,6 @@ def scrape_property(
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radius: float = None,
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radius: float = None,
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mls_only: bool = False,
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mls_only: bool = False,
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past_days: int = None,
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past_days: int = None,
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pending_or_contingent: bool = False,
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proxy: str = None,
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proxy: str = None,
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) -> pd.DataFrame:
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) -> pd.DataFrame:
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"""
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"""
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@ -23,7 +22,6 @@ def scrape_property(
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:param radius: Get properties within _ (e.g. 1.0) miles. Only applicable for individual addresses.
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:param radius: Get properties within _ (e.g. 1.0) miles. Only applicable for individual addresses.
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:param mls_only: If set, fetches only listings with MLS IDs.
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:param mls_only: If set, fetches only listings with MLS IDs.
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:param past_days: Get properties sold or listed (dependent on your listing_type) in the last _ days.
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:param past_days: Get properties sold or listed (dependent on your listing_type) in the last _ days.
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:param pending_or_contingent: If set, fetches only pending or contingent listings. Only applicable for for_sale listings from general area searches.
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:param proxy: Proxy to use for scraping
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:param proxy: Proxy to use for scraping
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"""
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"""
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validate_input(listing_type)
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validate_input(listing_type)
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@ -35,7 +33,6 @@ def scrape_property(
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radius=radius,
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radius=radius,
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mls_only=mls_only,
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mls_only=mls_only,
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last_x_days=past_days,
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last_x_days=past_days,
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pending_or_contingent=pending_or_contingent,
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)
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)
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site = RealtorScraper(scraper_input)
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site = RealtorScraper(scraper_input)
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@ -14,7 +14,7 @@ def main():
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"--listing_type",
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"--listing_type",
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type=str,
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type=str,
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default="for_sale",
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default="for_sale",
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choices=["for_sale", "for_rent", "sold"],
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choices=["for_sale", "for_rent", "sold", "pending"],
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help="Listing type to scrape",
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help="Listing type to scrape",
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)
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)
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@ -60,13 +60,6 @@ def main():
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help="If set, fetches only MLS listings.",
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help="If set, fetches only MLS listings.",
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)
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)
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parser.add_argument(
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"-c",
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"--pending_or_contingent",
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action="store_true",
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help="If set, fetches only pending or contingent listings. Only applicable for for_sale listings from general area searches.",
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)
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args = parser.parse_args()
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args = parser.parse_args()
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result = scrape_property(
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result = scrape_property(
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@ -76,7 +69,6 @@ def main():
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proxy=args.proxy,
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proxy=args.proxy,
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mls_only=args.mls_only,
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mls_only=args.mls_only,
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past_days=args.days,
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past_days=args.days,
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pending_or_contingent=args.pending_or_contingent,
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)
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)
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if not args.filename:
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if not args.filename:
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@ -11,7 +11,6 @@ class ScraperInput:
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mls_only: bool | None = None
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mls_only: bool | None = None
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proxy: str | None = None
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proxy: str | None = None
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last_x_days: int | None = None
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last_x_days: int | None = None
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pending_or_contingent: bool | None = None
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class Scraper:
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class Scraper:
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@ -37,7 +36,6 @@ class Scraper:
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self.radius = scraper_input.radius
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self.radius = scraper_input.radius
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self.last_x_days = scraper_input.last_x_days
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self.last_x_days = scraper_input.last_x_days
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self.mls_only = scraper_input.mls_only
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self.mls_only = scraper_input.mls_only
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self.pending_or_contingent = scraper_input.pending_or_contingent
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def search(self) -> list[Property]:
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def search(self) -> list[Property]:
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...
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...
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@ -19,6 +19,7 @@ class SiteName(Enum):
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class ListingType(Enum):
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class ListingType(Enum):
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FOR_SALE = "FOR_SALE"
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FOR_SALE = "FOR_SALE"
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FOR_RENT = "FOR_RENT"
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FOR_RENT = "FOR_RENT"
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PENDING = "PENDING"
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SOLD = "SOLD"
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SOLD = "SOLD"
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@ -18,7 +18,6 @@ class RealtorScraper(Scraper):
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ADDRESS_AUTOCOMPLETE_URL = "https://parser-external.geo.moveaws.com/suggest"
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ADDRESS_AUTOCOMPLETE_URL = "https://parser-external.geo.moveaws.com/suggest"
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def __init__(self, scraper_input):
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def __init__(self, scraper_input):
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self.counter = 1
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super().__init__(scraper_input)
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super().__init__(scraper_input)
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def handle_location(self):
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def handle_location(self):
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@ -274,6 +273,10 @@ class RealtorScraper(Scraper):
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last_sold_date
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last_sold_date
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list_price
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list_price
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price_per_sqft
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price_per_sqft
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flags {
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is_contingent
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is_pending
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}
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description {
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description {
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sqft
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sqft
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beds
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beds
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@ -335,17 +338,19 @@ class RealtorScraper(Scraper):
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pending_or_contingent_param = (
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pending_or_contingent_param = (
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"or_filters: { contingent: true, pending: true }"
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"or_filters: { contingent: true, pending: true }"
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if self.pending_or_contingent
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if self.listing_type == ListingType.PENDING
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else ""
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else ""
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)
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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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if search_type == "comps": #: comps search, came from an address
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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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query = """query Property_search(
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$coordinates: [Float]!
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$coordinates: [Float]!
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$radius: String!
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$radius: String!
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$offset: Int!,
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$offset: Int!,
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) {
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) {
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property_search(
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home_search(
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query: {
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query: {
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nearby: {
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nearby: {
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coordinates: $coordinates
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coordinates: $coordinates
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@ -353,13 +358,15 @@ class RealtorScraper(Scraper):
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}
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}
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status: %s
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status: %s
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%s
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%s
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%s
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}
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}
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%s
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%s
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limit: 200
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limit: 200
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offset: $offset
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offset: $offset
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) %s""" % (
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) %s""" % (
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self.listing_type.value.lower(),
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listing_type.value.lower(),
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date_param,
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date_param,
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pending_or_contingent_param,
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sort_param,
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sort_param,
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results_query,
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results_query,
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)
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)
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limit: 200
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limit: 200
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offset: $offset
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offset: $offset
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) %s""" % (
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) %s""" % (
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self.listing_type.value.lower(),
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listing_type.value.lower(),
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date_param,
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date_param,
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pending_or_contingent_param,
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pending_or_contingent_param,
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sort_param,
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sort_param,
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response = self.session.post(self.SEARCH_GQL_URL, json=payload)
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response = self.session.post(self.SEARCH_GQL_URL, json=payload)
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response.raise_for_status()
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response.raise_for_status()
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response_json = response.json()
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response_json = response.json()
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search_key = "home_search" if search_type == "area" else "property_search"
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search_key = "home_search" if "home_search" in query else "property_search"
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properties: list[Property] = []
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properties: list[Property] = []
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@ -430,7 +437,6 @@ class RealtorScraper(Scraper):
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return {"total": 0, "properties": []}
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return {"total": 0, "properties": []}
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for result in response_json["data"][search_key]["results"]:
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for result in response_json["data"][search_key]["results"]:
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self.counter += 1
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mls = (
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mls = (
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result["source"].get("id")
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result["source"].get("id")
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if "source" in result and isinstance(result["source"], dict)
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if "source" in result and isinstance(result["source"], dict)
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@ -447,13 +453,15 @@ class RealtorScraper(Scraper):
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and result["location"]["address"].get("coordinate")
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and result["location"]["address"].get("coordinate")
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)
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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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realty_property = Property(
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realty_property = Property(
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mls=mls,
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mls=mls,
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mls_id=result["source"].get("listing_id")
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mls_id=result["source"].get("listing_id")
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if "source" in result and isinstance(result["source"], dict)
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if "source" in result and isinstance(result["source"], dict)
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else None,
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else None,
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property_url=f"{self.PROPERTY_URL}{result['property_id']}",
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property_url=f"{self.PROPERTY_URL}{result['property_id']}",
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status=result["status"].upper(),
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status="PENDING" if is_pending else result["status"].upper(),
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list_price=result["list_price"],
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list_price=result["list_price"],
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list_date=result["list_date"].split("T")[0]
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list_date=result["list_date"].split("T")[0]
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if result.get("list_date")
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if result.get("list_date")
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@ -1,6 +1,6 @@
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[tool.poetry]
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[tool.poetry]
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name = "homeharvest"
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name = "homeharvest"
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version = "0.3.3"
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version = "0.3.4"
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description = "Real estate scraping library supporting Zillow, Realtor.com & Redfin."
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description = "Real estate scraping library supporting Zillow, Realtor.com & Redfin."
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authors = ["Zachary Hampton <zachary@zacharysproducts.com>", "Cullen Watson <cullen@cullen.ai>"]
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authors = ["Zachary Hampton <zachary@zacharysproducts.com>", "Cullen Watson <cullen@cullen.ai>"]
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homepage = "https://github.com/ZacharyHampton/HomeHarvest"
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homepage = "https://github.com/ZacharyHampton/HomeHarvest"
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@ -8,12 +8,12 @@ from homeharvest.exceptions import (
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def test_realtor_pending_or_contingent():
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def test_realtor_pending_or_contingent():
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pending_or_contingent_result = scrape_property(
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pending_or_contingent_result = scrape_property(
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location="Surprise, AZ",
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location="Surprise, AZ",
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pending_or_contingent=True,
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listing_type="pending"
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)
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)
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regular_result = scrape_property(
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regular_result = scrape_property(
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location="Surprise, AZ",
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location="Surprise, AZ",
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pending_or_contingent=False,
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listing_type="for_sale"
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)
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)
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assert all(
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assert all(
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@ -25,6 +25,35 @@ def test_realtor_pending_or_contingent():
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assert len(pending_or_contingent_result) != len(regular_result)
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assert len(pending_or_contingent_result) != len(regular_result)
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def test_realtor_pending_comps():
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pending_comps = scrape_property(
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location="2530 Al Lipscomb Way",
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radius=5,
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past_days=180,
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listing_type="pending",
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)
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for_sale_comps = scrape_property(
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location="2530 Al Lipscomb Way",
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radius=5,
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past_days=180,
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listing_type="for_sale",
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)
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sold_comps = scrape_property(
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location="2530 Al Lipscomb Way",
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radius=5,
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past_days=180,
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listing_type="sold",
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)
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results = [pending_comps, for_sale_comps, sold_comps]
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assert all([result is not None for result in results])
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#: assert all lengths are different
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assert len(set([len(result) for result in results])) == len(results)
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def test_realtor_comps():
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def test_realtor_comps():
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result = scrape_property(
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result = scrape_property(
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location="2530 Al Lipscomb Way",
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location="2530 Al Lipscomb Way",
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