Merge pull request #23 from ZacharyHampton/fix/recent-issues
Fixes & Changes for recent issuespull/27/head v0.2.16
commit
3174f5076c
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@ -57,6 +57,10 @@ def _get_ordered_properties(result: Property) -> list[str]:
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"stories",
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"year_built",
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"agent_name",
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"agent_phone",
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"agent_email",
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"days_on_market",
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"sold_date",
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"mls_id",
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"img_src",
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"latitude",
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@ -84,6 +88,18 @@ def _process_result(result: Property) -> pd.DataFrame:
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del prop_data["address"]
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if "agent" in prop_data and prop_data["agent"] is not None:
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agent_data = prop_data["agent"]
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prop_data["agent_name"] = agent_data.name
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prop_data["agent_phone"] = agent_data.phone
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prop_data["agent_email"] = agent_data.email
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del prop_data["agent"]
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else:
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prop_data["agent_name"] = None
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prop_data["agent_phone"] = None
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prop_data["agent_email"] = None
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properties_df = pd.DataFrame([prop_data])
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properties_df = properties_df[_get_ordered_properties(result)]
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@ -1,6 +1,7 @@
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from dataclasses import dataclass
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from enum import Enum
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from typing import Tuple
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from datetime import datetime
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class SiteName(Enum):
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@ -64,6 +65,13 @@ class Address:
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zip_code: str | None = None
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@dataclass
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class Agent:
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name: str
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phone: str | None = None
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email: str | None = None
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@dataclass
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class Property:
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property_url: str
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@ -81,11 +89,11 @@ class Property:
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price_per_sqft: int | None = None
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mls_id: str | None = None
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agent_name: str | None = None
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agent: Agent | None = None
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img_src: str | None = None
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description: str | None = None
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status_text: str | None = None
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posted_time: str | None = None
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posted_time: datetime | None = None
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# building for sale
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bldg_name: str | None = None
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@ -107,3 +115,6 @@ class Property:
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latitude: float | None = None
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longitude: float | None = None
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sold_date: datetime | None = None
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days_on_market: int | None = None
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@ -8,8 +8,9 @@ import json
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from typing import Any
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from .. import Scraper
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from ....utils import parse_address_two, parse_address_one
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from ..models import Property, Address, PropertyType, ListingType, SiteName
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from ....exceptions import NoResultsFound
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from ..models import Property, Address, PropertyType, ListingType, SiteName, Agent
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from ....exceptions import NoResultsFound, SearchTooBroad
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from datetime import datetime
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class RedfinScraper(Scraper):
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@ -30,6 +31,8 @@ class RedfinScraper(Scraper):
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return "6" #: city
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elif match_type == "1":
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return "address" #: address, needs to be handled differently
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elif match_type == "11":
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return "state"
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if "exactMatch" not in response_json["payload"]:
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raise NoResultsFound("No results found for location: {}".format(self.location))
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@ -74,6 +77,8 @@ class RedfinScraper(Scraper):
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else:
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lot_size = lot_size_data
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lat_long = get_value("latLong")
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return Property(
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site_name=self.site_name,
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listing_type=self.listing_type,
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@ -88,15 +93,20 @@ class RedfinScraper(Scraper):
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sqft_min=get_value("sqFt"),
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sqft_max=get_value("sqFt"),
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stories=home["stories"] if "stories" in home else None,
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agent_name=get_value("listingAgent"),
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agent=Agent( #: listingAgent, some have sellingAgent as well
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name=home['listingAgent'].get('name') if 'listingAgent' in home else None,
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phone=home['listingAgent'].get('phone') if 'listingAgent' in home else None,
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),
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description=home["listingRemarks"] if "listingRemarks" in home else None,
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year_built=get_value("yearBuilt") if not single_search else home.get("yearBuilt"),
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lot_area_value=lot_size,
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property_type=PropertyType.from_int_code(home.get("propertyType")),
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price_per_sqft=get_value("pricePerSqFt") if type(home.get("pricePerSqFt")) != int else home.get("pricePerSqFt"),
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mls_id=get_value("mlsId"),
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latitude=home["latLong"]["latitude"] if "latLong" in home and "latitude" in home["latLong"] else None,
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longitude=home["latLong"]["longitude"] if "latLong" in home and "longitude" in home["latLong"] else None,
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latitude=lat_long.get('latitude') if lat_long else None,
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longitude=lat_long.get('longitude') if lat_long else None,
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sold_date=datetime.fromtimestamp(home['soldDate'] / 1000) if 'soldDate' in home else None,
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days_on_market=get_value("dom")
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)
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def _handle_rentals(self, region_id, region_type):
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@ -207,6 +217,9 @@ class RedfinScraper(Scraper):
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def search(self):
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region_id, region_type = self._handle_location()
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if region_type == "state":
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raise SearchTooBroad("State searches are not supported, please use a more specific location.")
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if region_type == "address":
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home_id = region_id
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return self.handle_address(home_id)
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@ -6,16 +6,25 @@ This module implements the scraper for zillow.com
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"""
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import re
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import json
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import tls_client
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from .. import Scraper
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from requests.exceptions import HTTPError
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from ....utils import parse_address_one, parse_address_two
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from ....exceptions import GeoCoordsNotFound, NoResultsFound
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from ..models import Property, Address, ListingType, PropertyType
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from ..models import Property, Address, ListingType, PropertyType, Agent
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import urllib.parse
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from datetime import datetime, timedelta
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class ZillowScraper(Scraper):
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def __init__(self, scraper_input):
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super().__init__(scraper_input)
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self.cookies = None
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self.session = tls_client.Session(
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client_identifier="chrome112", random_tls_extension_order=True
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)
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if not self.is_plausible_location(self.location):
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raise NoResultsFound("Invalid location input: {}".format(self.location))
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@ -32,15 +41,18 @@ class ZillowScraper(Scraper):
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url = (
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"https://www.zillowstatic.com/autocomplete/v3/suggestions?q={"
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"}&abKey=6666272a-4b99-474c-b857-110ec438732b&clientId=homepage-render"
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).format(location)
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).format(urllib.parse.quote(location))
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response = self.session.get(url)
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resp = self.session.get(url)
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return response.json()["results"] != []
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return resp.json()["results"] != []
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def search(self):
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resp = self.session.get(self.url, headers=self._get_headers())
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resp.raise_for_status()
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if resp.status_code != 200:
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raise HTTPError(
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f"bad response status code: {resp.status_code}"
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)
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content = resp.text
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match = re.search(
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@ -135,11 +147,23 @@ class ZillowScraper(Scraper):
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"isDebugRequest": False,
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}
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resp = self.session.put(url, headers=self._get_headers(), json=payload)
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resp.raise_for_status()
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if resp.status_code != 200:
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raise HTTPError(
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f"bad response status code: {resp.status_code}"
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)
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self.cookies = resp.cookies
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a = resp.json()
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return self._parse_properties(resp.json())
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@staticmethod
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def parse_posted_time(time: str) -> datetime:
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int_time = int(time.split(" ")[0])
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if "hour" in time:
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return datetime.now() - timedelta(hours=int_time)
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if "day" in time:
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return datetime.now() - timedelta(days=int_time)
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def _parse_properties(self, property_data: dict):
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mapresults = property_data["cat1"]["searchResults"]["mapResults"]
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@ -165,10 +189,10 @@ class ZillowScraper(Scraper):
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home_info["statusType"] if "statusType" in home_info else self.listing_type
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),
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status_text=result.get("statusText"),
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posted_time=result["variableData"]["text"]
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posted_time=self.parse_posted_time(result["variableData"]["text"])
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if "variableData" in result
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and "text" in result["variableData"]
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and result["variableData"]["type"] == "TIME_ON_INFO"
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and "text" in result["variableData"]
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and result["variableData"]["type"] == "TIME_ON_INFO"
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else None,
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price_min=home_info.get("price"),
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price_max=home_info.get("price"),
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@ -246,7 +270,9 @@ class ZillowScraper(Scraper):
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tax_assessed_value=property_data.get("taxAssessedValue"),
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lot_area_value=property_data.get("lotAreaValue"),
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lot_area_unit=property_data["lotAreaUnits"].lower() if "lotAreaUnits" in property_data else None,
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agent_name=property_data.get("attributionInfo", {}).get("agentName"),
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agent=Agent(
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name=property_data.get("attributionInfo", {}).get("agentName")
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),
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stories=property_data.get("resoFacts", {}).get("stories"),
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mls_id=property_data.get("attributionInfo", {}).get("mlsId"),
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beds_min=property_data.get("bedrooms"),
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@ -298,20 +324,23 @@ class ZillowScraper(Scraper):
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def _get_headers(self):
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headers = {
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"authority": "www.zillow.com",
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"accept": "*/*",
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"accept-language": "en-US,en;q=0.9",
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"content-type": "application/json",
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"origin": "https://www.zillow.com",
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"referer": "https://www.zillow.com",
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"sec-ch-ua": '"Chromium";v="116", "Not)A;Brand";v="24", "Google Chrome";v="116"',
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"sec-ch-ua-mobile": "?0",
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"sec-ch-ua-platform": '"Windows"',
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"sec-fetch-dest": "empty",
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"sec-fetch-mode": "cors",
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"sec-fetch-site": "same-origin",
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"user-agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/116.0.0.0 Safari/537.36",
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'authority': 'www.zillow.com',
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'accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,image/avif,image/webp,image/apng,*/*;q=0.8,application/signed-exchange;v=b3;q=0.9',
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'accept-language': 'en-US,en;q=0.9',
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'cache-control': 'max-age=0',
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'cookie': '<your_cookie_here>',
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'sec-ch-ua': '"Chromium";v="117", "Not)A;Brand";v="24", "Google Chrome";v="117"',
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'sec-ch-ua-mobile': '?0',
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'sec-ch-ua-platform': '"Windows"',
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'sec-fetch-dest': 'document',
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'sec-fetch-mode': 'navigate',
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'sec-fetch-site': 'same-origin',
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'sec-fetch-user': '?1',
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'upgrade-insecure-requests': '1',
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'user-agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/117.0.0.0 Safari/537.36',
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}
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if self.cookies:
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headers['Cookie'] = self.cookies
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return headers
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@ -12,3 +12,7 @@ class NoResultsFound(Exception):
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class GeoCoordsNotFound(Exception):
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"""Raised when no property is found for the given address"""
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class SearchTooBroad(Exception):
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"""Raised when the search is too broad"""
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@ -408,6 +408,17 @@ files = [
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{file = "six-1.16.0.tar.gz", hash = "sha256:1e61c37477a1626458e36f7b1d82aa5c9b094fa4802892072e49de9c60c4c926"},
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]
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[[package]]
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name = "tls-client"
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version = "0.2.2"
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description = "Advanced Python HTTP Client."
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optional = false
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python-versions = "*"
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files = [
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{file = "tls_client-0.2.2-py3-none-any.whl", hash = "sha256:30934871397cdad6862e00b5634f382666314a452ddd3d774e18323a0ad9b765"},
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{file = "tls_client-0.2.2.tar.gz", hash = "sha256:78bc0e291e3aadc6c5e903b62bb26c01374577691f2a9e5e17899900a5927a13"},
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]
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[[package]]
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name = "tomli"
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version = "2.0.1"
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@ -450,4 +461,4 @@ zstd = ["zstandard (>=0.18.0)"]
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[metadata]
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lock-version = "2.0"
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python-versions = "^3.10"
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content-hash = "3647d568f5623dd762f19029230626a62e68309fa2ef8be49a36382c19264a5f"
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content-hash = "9b77e1a09fcf2cf5e7e6be53f304cd21a6a51ea51680d661a178afe5e5343670"
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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 = "0.2.15"
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version = "0.2.16"
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description = "Real estate scraping library supporting Zillow, Realtor.com & Redfin."
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authors = ["Zachary Hampton <zachary@zacharysproducts.com>", "Cullen Watson <cullen@cullen.ai>"]
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homepage = "https://github.com/ZacharyHampton/HomeHarvest"
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@ -14,6 +14,7 @@ python = "^3.10"
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requests = "^2.31.0"
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pandas = "^2.1.0"
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openpyxl = "^3.1.2"
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tls-client = "^0.2.2"
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[tool.poetry.group.dev.dependencies]
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@ -4,11 +4,13 @@ from homeharvest.exceptions import (
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InvalidListingType,
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NoResultsFound,
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GeoCoordsNotFound,
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SearchTooBroad,
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)
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def test_redfin():
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results = [
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scrape_property(location="San Diego", site_name="redfin", listing_type="for_sale"),
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scrape_property(location="2530 Al Lipscomb Way", site_name="redfin", listing_type="for_sale"),
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scrape_property(location="Phoenix, AZ, USA", site_name=["redfin"], listing_type="for_rent"),
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scrape_property(location="Dallas, TX, USA", site_name="redfin", listing_type="sold"),
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@ -24,9 +26,10 @@ def test_redfin():
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location="abceefg ju098ot498hh9",
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site_name="redfin",
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listing_type="for_sale",
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)
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),
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scrape_property(location="Florida", site_name="redfin", listing_type="for_rent"),
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]
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except (InvalidSite, InvalidListingType, NoResultsFound, GeoCoordsNotFound):
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except (InvalidSite, InvalidListingType, NoResultsFound, GeoCoordsNotFound, SearchTooBroad):
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assert True
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assert all([result is None for result in bad_results])
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