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8 Commits

Author SHA1 Message Date
Zachary Hampton
0d85100091 - update dependencies 2025-07-14 17:08:27 -07:00
Zachary Hampton
851ba53d81 Merge pull request #128 from Alexandre-Shofstall/fix/python39-compat
Fix syntax of __init__ line 24
2025-07-03 10:28:49 -07:00
Zachary Hampton
0fdc309262 Update pyproject.toml 2025-07-03 10:28:14 -07:00
Alexandre Shofstall
62b6726d42 Fix syntax of __init__ line 24 2025-07-03 19:20:49 +02:00
Zachary Hampton
ccf5786ce2 Merge pull request #127 from Alexandre-Shofstall/fix/python39-compat
Fix typing syntax for Python 3.9 compatibility in __init__.py
2025-07-03 09:43:26 -07:00
Zachary Hampton
b4f05b254a Update pyproject.toml 2025-07-03 09:43:10 -07:00
Alexandre Shofstall
941d1081f7 Fix typing syntax for Python 3.9 compatibility in __init__.py 2025-07-03 18:11:18 +02:00
Zachary Hampton
c788b3318d Update README.md 2025-06-19 16:52:14 -07:00
4 changed files with 632 additions and 445 deletions

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@@ -8,8 +8,6 @@
- **Data Format**: Structures data to resemble MLS listings.
- **Export Flexibility**: Options to save as either CSV or Excel.
[Video Guide for HomeHarvest](https://youtu.be/J1qgNPgmSLI) - _updated for release v0.3.4_
![homeharvest](https://github.com/ZacharyHampton/HomeHarvest/assets/78247585/b3d5d727-e67b-4a9f-85d8-1e65fd18620a)
## Installation

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@@ -4,13 +4,13 @@ from .core.scrapers import ScraperInput
from .utils import process_result, ordered_properties, validate_input, validate_dates, validate_limit
from .core.scrapers.realtor import RealtorScraper
from .core.scrapers.models import ListingType, SearchPropertyType, ReturnType, Property
from typing import Union, Optional, List
def scrape_property(
location: str,
listing_type: str = "for_sale",
return_type: str = "pandas",
property_type: list[str] | None = None,
property_type: Optional[List[str]] = None,
radius: float = None,
mls_only: bool = False,
past_days: int = None,
@@ -21,7 +21,7 @@ def scrape_property(
extra_property_data: bool = True,
exclude_pending: bool = False,
limit: int = 10000
) -> pd.DataFrame | list[dict] | list[Property]:
) -> Union[pd.DataFrame, list[dict], list[Property]]:
"""
Scrape properties from Realtor.com based on a given location and listing type.
:param location: Location to search (e.g. "Dallas, TX", "85281", "2530 Al Lipscomb Way")

1059
poetry.lock generated

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@@ -1,6 +1,6 @@
[tool.poetry]
name = "homeharvest"
version = "0.4.9"
version = "0.4.12"
description = "Real estate scraping library"
authors = ["Zachary Hampton <zachary@bunsly.com>", "Cullen Watson <cullen@bunsly.com>"]
homepage = "https://github.com/Bunsly/HomeHarvest"
@@ -11,10 +11,10 @@ homeharvest = "homeharvest.cli:main"
[tool.poetry.dependencies]
python = ">=3.9,<3.13"
requests = "^2.31.0"
pandas = "^2.1.1"
pydantic = "^2.7.4"
tenacity = "^9.0.0"
requests = "^2.32.4"
pandas = "^2.3.1"
pydantic = "^2.11.7"
tenacity = "^9.1.2"
[tool.poetry.group.dev.dependencies]