parent
6076b0f961
commit
7246703999
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@ -134,6 +134,13 @@ Property
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├── Location Details:
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│ ├── latitude
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│ ├── longitude
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│ ├── nearby_schools
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├── Agent Info:
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│ ├── agent
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│ ├── broker
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│ └── broker_phone
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├── Agent Info:
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│ ├── agent
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@ -1,3 +1,4 @@
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import uuid
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from dataclasses import dataclass
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import requests
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import uuid
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@ -23,6 +23,12 @@ class ListingType(Enum):
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SOLD = "SOLD"
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@dataclass
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class Agent:
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name: str | None = None
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phone: str | None = None
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class PropertyType(Enum):
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APARTMENT = "APARTMENT"
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BUILDING = "BUILDING"
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@ -97,3 +103,4 @@ class Property:
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neighborhoods: Optional[str] = None
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agents: list[Agent] = None
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nearby_schools: list[str] = None
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@ -142,7 +142,7 @@ class RealtorScraper(Scraper):
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days_on_mls = None
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property_id = property_info["details"]["permalink"]
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agents = self.get_agents(property_id)
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agents_schools = self.get_agents_schools(property_id)
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listing = Property(
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mls=mls,
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mls_id=(
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@ -178,7 +178,8 @@ class RealtorScraper(Scraper):
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stories=property_info["details"].get("stories"),
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),
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days_on_mls=days_on_mls,
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agents=agents,
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agents=agents_schools["agents"],
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nearby_schools=agents_schools["schools"],
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)
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return [listing]
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@ -272,7 +273,7 @@ class RealtorScraper(Scraper):
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}"""
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variables = {"property_id": property_id}
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agents = self.get_agents(property_id)
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agents_schools = self.get_agents_schools(property_id)
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payload = {
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"query": query,
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@ -290,7 +291,8 @@ class RealtorScraper(Scraper):
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property_url=f"{self.PROPERTY_URL}{property_info['details']['permalink']}",
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address=self._parse_address(property_info, search_type="handle_address"),
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description=self._parse_description(property_info),
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agents=agents,
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agents=agents_schools["agents"],
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nearby_schools=agents_schools["schools"],
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)
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]
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@ -510,7 +512,7 @@ class RealtorScraper(Scraper):
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return
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property_id = result["property_id"]
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agents = self.get_agents(property_id)
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agents_schools = self.get_agents_schools(property_id)
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realty_property = Property(
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mls=mls,
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@ -535,7 +537,8 @@ class RealtorScraper(Scraper):
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address=self._parse_address(result, search_type="general_search"),
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description=self._parse_description(result),
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days_on_mls=self.calculate_days_on_mls(result),
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agents=agents,
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agents=agents_schools["agents"],
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nearby_schools=agents_schools["schools"],
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)
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return realty_property
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@ -630,18 +633,25 @@ class RealtorScraper(Scraper):
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return homes
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def get_agents(self, property_id: str) -> list[Agent]:
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payload = f'{{"query":"query GetHome($property_id: ID!) {{\\n home(property_id: $property_id) {{\\n __typename\\n\\n consumerAdvertisers: consumer_advertisers {{\\n __typename\\n type\\n advertiserId: advertiser_id\\n name\\n phone\\n type\\n href\\n slogan\\n photo {{\\n __typename\\n href\\n }}\\n showRealtorLogo: show_realtor_logo\\n hours\\n }}\\n\\n\\n }}\\n}}\\n","variables":{{"property_id":"{property_id}"}}}}'
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def get_agents_schools(self, property_id: str) -> dict:
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payload = f'{{"query":"query GetHome($property_id: ID!) {{\\n home(property_id: $property_id) {{\\n __typename\\n\\n consumerAdvertisers: consumer_advertisers {{\\n __typename\\n type\\n advertiserId: advertiser_id\\n name\\n phone\\n type\\n href\\n slogan\\n photo {{\\n __typename\\n href\\n }}\\n showRealtorLogo: show_realtor_logo\\n hours\\n }}\\n\\n\\n nearbySchools: nearby_schools(radius: 5.0, limit_per_level: 3) {{ __typename schools {{ district {{ __typename id name }} }} }}}}\\n}}\\n","variables":{{"property_id":"{property_id}"}}}}'
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response = self.session.post(self.PROPERTY_GQL, data=payload)
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data = response.json()
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try:
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ads = data["data"]["home"]["consumerAdvertisers"]
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except (KeyError, TypeError):
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return []
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def get_key(keys: list):
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try:
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data = response.json()
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for key in keys:
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data = data[key]
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return data
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except (KeyError, TypeError):
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return []
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ads = get_key(["data", "home", "consumerAdvertisers"])
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schools = get_key(["data", "home", "nearbySchools", "schools"])
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agents = [Agent(name=ad["name"], phone=ad["phone"]) for ad in ads]
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return agents
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schools = [school["district"]["name"] for school in schools]
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return {"agents": agents, "schools": schools}
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@staticmethod
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def _parse_neighborhoods(result: dict) -> Optional[str]:
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@ -34,6 +34,7 @@ ordered_properties = [
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"agent",
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"broker",
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"broker_phone",
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"nearby_schools",
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"primary_photo",
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"alt_photos",
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]
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@ -60,6 +61,8 @@ def process_result(result: Property) -> pd.DataFrame:
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prop_data["broker_phone"] = agents[1].phone
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prop_data["price_per_sqft"] = prop_data["prc_sqft"]
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prop_data["nearby_schools"] = filter(None, prop_data["nearby_schools"]) if prop_data["nearby_schools"] else None
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prop_data["nearby_schools"] = ", ".join(set(prop_data["nearby_schools"])) if prop_data["nearby_schools"] else None
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description = result.description
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prop_data["primary_photo"] = description.primary_photo
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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 = "0.3.17"
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version = "0.3.18"
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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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