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- exclude_pending parameter
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@@ -17,11 +17,12 @@ def scrape_property(
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date_to: str = None,
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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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) -> 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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:param location: Location to search (e.g. "Dallas, TX", "85281", "2530 Al Lipscomb Way")
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:param listing_type: Listing Type (for_sale, for_rent, sold)
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:param listing_type: Listing Type (for_sale, for_rent, sold, pending)
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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 proxy: Proxy to use for scraping
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@@ -29,6 +30,7 @@ def scrape_property(
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:param date_from, date_to: Get properties sold or listed (dependent on your listing_type) between these dates. format: 2021-01-28
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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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"""
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validate_input(listing_type)
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validate_dates(date_from, date_to)
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@@ -44,6 +46,7 @@ def scrape_property(
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date_to=date_to,
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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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)
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site = RealtorScraper(scraper_input)
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