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@ -94,7 +94,9 @@ Optional
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│
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├── extra_property_data (True/False): Increases requests by O(n). If set, this fetches additional property data (e.g. agent, broker, property evaluations etc.)
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│
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└── exclude_pending (True/False): If set, excludes pending properties from the results unless listing_type is 'pending'
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├── exclude_pending (True/False): If set, excludes pending properties from the results unless listing_type is 'pending'
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│
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└── limit (integer): Limit the number of properties to fetch. Max & default is 10000.
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```
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### Property Schema
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@ -1,7 +1,7 @@
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import warnings
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import pandas as pd
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from .core.scrapers import ScraperInput
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from .utils import process_result, ordered_properties, validate_input, validate_dates
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from .utils import process_result, ordered_properties, validate_input, validate_dates, validate_limit
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from .core.scrapers.realtor import RealtorScraper
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from .core.scrapers.models import ListingType
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@ -18,6 +18,7 @@ def scrape_property(
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foreclosure: bool = None,
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extra_property_data: bool = True,
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exclude_pending: bool = False,
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limit: int = 10000,
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) -> pd.DataFrame:
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"""
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Scrape properties from Realtor.com based on a given location and listing type.
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@ -31,9 +32,11 @@ def scrape_property(
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:param foreclosure: If set, fetches only foreclosure listings.
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:param extra_property_data: Increases requests by O(n). If set, this fetches additional property data (e.g. agent, broker, property evaluations etc.)
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:param exclude_pending: If true, this excludes pending or contingent properties from the results, unless listing type is pending.
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:param limit: Limit the number of results returned. Maximum is 10,000.
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"""
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validate_input(listing_type)
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validate_dates(date_from, date_to)
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validate_limit(limit)
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scraper_input = ScraperInput(
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location=location,
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@ -47,6 +50,7 @@ def scrape_property(
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foreclosure=foreclosure,
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extra_property_data=extra_property_data,
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exclude_pending=exclude_pending,
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limit=limit,
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)
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site = RealtorScraper(scraper_input)
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@ -22,6 +22,7 @@ class ScraperInput:
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foreclosure: bool | None = False
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extra_property_data: bool | None = True
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exclude_pending: bool | None = False
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limit: int = 10000
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class Scraper:
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@ -64,6 +65,7 @@ class Scraper:
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self.foreclosure = scraper_input.foreclosure
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self.extra_property_data = scraper_input.extra_property_data
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self.exclude_pending = scraper_input.exclude_pending
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self.limit = scraper_input.limit
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def search(self) -> list[Property]: ...
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@ -115,10 +115,10 @@ class RealtorScraper(Scraper):
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)
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able_to_get_lat_long = (
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property_info
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and property_info.get("address")
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and property_info["address"].get("location")
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and property_info["address"]["location"].get("coordinate")
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property_info
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and property_info.get("address")
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and property_info["address"].get("location")
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and property_info["address"]["location"].get("coordinate")
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)
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list_date_str = (
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property_info["basic"]["list_date"].split("T")[0] if property_info["basic"].get("list_date") else None
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@ -481,7 +481,7 @@ 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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@ -492,7 +492,7 @@ 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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@ -507,12 +507,12 @@ 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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@ -523,10 +523,10 @@ class RealtorScraper(Scraper):
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return
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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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@ -654,7 +654,7 @@ class RealtorScraper(Scraper):
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variables=search_variables | {"offset": i},
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search_type=search_type,
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)
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for i in range(200, min(total, 10000), 200)
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for i in range(200, min(total, self.limit), 200)
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]
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for future in as_completed(futures):
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@ -790,7 +790,10 @@ class RealtorScraper(Scraper):
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)
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@staticmethod
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def _parse_description(result: dict) -> Description:
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def _parse_description(result: dict) -> Description | None:
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if not result:
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return None
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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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@ -801,11 +804,8 @@ class RealtorScraper(Scraper):
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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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if (primary_photo_info := result.get('primary_photo')) and (primary_photo_href := primary_photo_info.get("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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@ -86,7 +86,8 @@ def process_result(result: Property) -> pd.DataFrame:
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if description:
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prop_data["primary_photo"] = description.primary_photo
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prop_data["alt_photos"] = ", ".join(description.alt_photos) if description.alt_photos else None
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prop_data["style"] = description.style if isinstance(description.style, str) else description.style.value if description.style else None
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prop_data["style"] = description.style if isinstance(description.style,
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str) else description.style.value if description.style else None
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prop_data["beds"] = description.beds
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prop_data["full_baths"] = description.baths_full
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prop_data["half_baths"] = description.baths_half
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def validate_dates(date_from: str | None, date_to: str | None) -> None:
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if (date_from is not None and date_to is None) or (date_from is None and date_to is not None):
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if isinstance(date_from, str) != isinstance(date_to, str):
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raise InvalidDate("Both date_from and date_to must be provided.")
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if date_from and date_to:
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raise InvalidDate("date_to must be after date_from.")
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except ValueError:
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raise InvalidDate(f"Invalid date format or range")
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def validate_limit(limit: int) -> None:
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#: 1 -> 10000 limit
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if limit is not None and (limit < 1 or limit > 10000):
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raise ValueError("Property limit must be between 1 and 10,000.")
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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 = "0.3.32"
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version = "0.3.33"
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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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