chore: version
parent
a74c1a9950
commit
6dd0b058d3
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@ -34,6 +34,8 @@ class Address:
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@dataclass
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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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beds: int | None = None
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baths_full: int | None = None
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@ -84,6 +84,12 @@ 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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}
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}
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}"""
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@ -152,6 +158,8 @@ 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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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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@ -247,6 +255,12 @@ class RealtorScraper(Scraper):
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units
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year_built
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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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}
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}
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}"""
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@ -334,6 +348,12 @@ class RealtorScraper(Scraper):
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name
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}
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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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}
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}
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}
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}"""
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@ -621,6 +641,7 @@ 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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@ -630,7 +651,16 @@ class RealtorScraper(Scraper):
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if style is not None:
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style = style.upper()
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primary_photo = ""
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if result and "primary_photo" in result:
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primary_photo_info = result["primary_photo"]
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if primary_photo_info and "href" in primary_photo_info:
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primary_photo_href = primary_photo_info["href"]
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primary_photo = primary_photo_href.replace("s.jpg", "od-w480_h360_x2.webp?w=1080&q=75")
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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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beds=description_data.get("beds"),
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baths_full=description_data.get("baths_full"),
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@ -643,6 +673,7 @@ 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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@ -661,3 +692,16 @@ class RealtorScraper(Scraper):
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days = (today - list_date).days
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if days >= 0:
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return days
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@staticmethod
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def process_alt_photos(photos_info):
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try:
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alt_photos = []
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if photos_info:
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for photo_info in photos_info:
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href = photo_info.get("href", "")
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alt_photo_href = href.replace("s.jpg", "od-w480_h360_x2.webp?w=1080&q=75")
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alt_photos.append(alt_photo_href)
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return alt_photos
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except Exception:
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pass
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@ -5,6 +5,8 @@ from .exceptions import InvalidListingType, InvalidDate
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ordered_properties = [
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"property_url",
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"primary_photo",
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"alt_photos",
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"mls",
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"mls_id",
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"status",
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@ -49,6 +51,8 @@ def process_result(result: Property) -> pd.DataFrame:
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prop_data["price_per_sqft"] = prop_data["prc_sqft"]
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description = result.description
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prop_data["primary_photo"] = description.primary_photo
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prop_data["alt_photos"] = ", ".join(description.alt_photos)
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prop_data["style"] = description.style
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prop_data["beds"] = description.beds
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prop_data["full_baths"] = description.baths_full
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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 = "0.3.9"
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version = "0.3.10"
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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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homepage = "https://github.com/Bunsly/HomeHarvest"
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24
test.py
24
test.py
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@ -0,0 +1,24 @@
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from homeharvest import scrape_property
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from datetime import datetime
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# Generate filename based on current timestamp
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current_timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
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filename = f"HomeHarvest_{current_timestamp}.csv"
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properties = scrape_property(
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location="8134 midway rd dallas tx 75209",
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listing_type="pending", # or (for_sale, for_rent, pending)
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radius=0.5
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# past_days=30, # sold in last 30 days - listed in last 30 days if (for_sale, for_rent)
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# date_from="2023-05-01", # alternative to past_days
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# date_to="2023-05-28",
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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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)
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print(f"Number of properties: {len(properties)}")
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# Export to csv
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properties.to_csv(filename, index=False)
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print(properties.head())
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