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v0.4.12
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@@ -8,8 +8,6 @@
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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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[Video Guide for HomeHarvest](https://youtu.be/J1qgNPgmSLI) - _updated for release v0.3.4_
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## Installation
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@@ -4,13 +4,13 @@ from .core.scrapers import ScraperInput
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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, SearchPropertyType, ReturnType, Property
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from typing import Union, Optional, List
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def scrape_property(
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location: str,
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listing_type: str = "for_sale",
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return_type: str = "pandas",
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property_type: list[str] | None = None,
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property_type: Optional[List[str]] = None,
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radius: float = None,
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mls_only: bool = False,
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past_days: int = None,
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@@ -21,7 +21,7 @@ def scrape_property(
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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 | list[dict] | list[Property]:
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) -> Union[pd.DataFrame, list[dict], list[Property]]:
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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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1059
poetry.lock
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1059
poetry.lock
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File diff suppressed because it is too large
Load Diff
@@ -1,6 +1,6 @@
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[tool.poetry]
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name = "homeharvest"
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version = "0.4.9"
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version = "0.4.12"
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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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@@ -11,10 +11,10 @@ homeharvest = "homeharvest.cli:main"
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[tool.poetry.dependencies]
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python = ">=3.9,<3.13"
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requests = "^2.31.0"
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pandas = "^2.1.1"
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pydantic = "^2.7.4"
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tenacity = "^9.0.0"
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requests = "^2.32.4"
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pandas = "^2.3.1"
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pydantic = "^2.11.7"
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tenacity = "^9.1.2"
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[tool.poetry.group.dev.dependencies]
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