119 lines
4.4 KiB
Python
119 lines
4.4 KiB
Python
import json
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from ..models import Property, Address, PropertyType
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from .. import Scraper
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from typing import Any
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class RedfinScraper(Scraper):
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def __init__(self, scraper_input):
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super().__init__(scraper_input)
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self.listing_type = scraper_input.listing_type
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def _handle_location(self):
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url = "https://www.redfin.com/stingray/do/location-autocomplete?v=2&al=1&location={}".format(
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self.location
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)
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response = self.session.get(url)
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response_json = json.loads(response.text.replace("{}&&", ""))
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def get_region_type(match_type: str):
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if match_type == "4":
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return "2" #: zip
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elif match_type == "2":
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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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if response_json["payload"]["exactMatch"] is not None:
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target = response_json["payload"]["exactMatch"]
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else:
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target = response_json["payload"]["sections"][0]["rows"][0]
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return target["id"].split("_")[1], get_region_type(target["type"])
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def _parse_home(self, home: dict, single_search: bool = False) -> Property:
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def get_value(key: str) -> Any | None:
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if key in home and "value" in home[key]:
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return home[key]["value"]
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if not single_search:
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address = Address(
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address_one=get_value("streetLine"),
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city=home["city"],
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state=home["state"],
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zip_code=home["zip"],
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)
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else:
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address_info = home["streetAddress"]
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address = Address(
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address_one=address_info["assembledAddress"],
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city=home["city"],
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state=home["state"],
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zip_code=home["zip"],
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)
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url = "https://www.redfin.com{}".format(home["url"])
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property_type = home["propertyType"] if "propertyType" in home else None
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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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address=address,
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url=url,
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beds=home["beds"] if "beds" in home else None,
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baths=home["baths"] if "baths" in home else None,
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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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description=home["listingRemarks"] if "listingRemarks" in home else None,
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year_built=get_value("yearBuilt")
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if not single_search
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else home["yearBuilt"],
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square_feet=get_value("sqFt"),
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lot_size=home.get("lotSize", {}).get("value", None),
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property_type=PropertyType.from_int_code(home.get("propertyType")),
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price_per_square_foot=get_value("pricePerSqFt"),
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price=get_value("price"),
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mls_id=get_value("mlsId"),
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)
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def handle_address(self, home_id: str):
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"""
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EPs:
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https://www.redfin.com/stingray/api/home/details/initialInfo?al=1&path=/TX/Austin/70-Rainey-St-78701/unit-1608/home/147337694
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https://www.redfin.com/stingray/api/home/details/mainHouseInfoPanelInfo?propertyId=147337694&accessLevel=3
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https://www.redfin.com/stingray/api/home/details/aboveTheFold?propertyId=147337694&accessLevel=3
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https://www.redfin.com/stingray/api/home/details/belowTheFold?propertyId=147337694&accessLevel=3
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"""
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url = "https://www.redfin.com/stingray/api/home/details/aboveTheFold?propertyId={}&accessLevel=3".format(
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home_id
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)
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response = self.session.get(url)
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response_json = json.loads(response.text.replace("{}&&", ""))
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parsed_home = self._parse_home(
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response_json["payload"]["addressSectionInfo"], single_search=True
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)
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return [parsed_home]
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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 == "address":
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home_id = region_id
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return self.handle_address(home_id)
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url = "https://www.redfin.com/stingray/api/gis?al=1®ion_id={}®ion_type={}".format(
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region_id, region_type
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)
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response = self.session.get(url)
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response_json = json.loads(response.text.replace("{}&&", ""))
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homes = [
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self._parse_home(home) for home in response_json["payload"]["homes"]
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] #: support buildings
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return homes
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