307 lines
12 KiB
Python
307 lines
12 KiB
Python
import json
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from ..models import Property, Address
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from .. import Scraper
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from typing import Any, Generator
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from ....exceptions import NoResultsFound
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from ....utils import parse_address_two, parse_unit
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from concurrent.futures import ThreadPoolExecutor, as_completed
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class RealtorScraper(Scraper):
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def __init__(self, scraper_input):
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super().__init__(scraper_input)
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self.search_url = "https://www.realtor.com/api/v1/rdc_search_srp?client_id=rdc-search-new-communities&schema=vesta"
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def handle_location(self):
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headers = {
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"authority": "parser-external.geo.moveaws.com",
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"accept": "*/*",
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"accept-language": "en-US,en;q=0.9",
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"origin": "https://www.realtor.com",
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"referer": "https://www.realtor.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": "cross-site",
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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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}
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params = {
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"input": self.location,
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"client_id": self.listing_type.value.lower().replace("_", "-"),
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"limit": "1",
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"area_types": "city,state,county,postal_code,address,street,neighborhood,school,school_district,university,park",
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}
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response = self.session.get(
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"https://parser-external.geo.moveaws.com/suggest",
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params=params,
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headers=headers,
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)
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response_json = response.json()
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result = response_json["autocomplete"]
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if not result:
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raise NoResultsFound("No results found for location: " + self.location)
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return result[0]
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def handle_address(self, property_id: str) -> list[Property]:
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query = """query Property($property_id: ID!) {
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property(id: $property_id) {
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property_id
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details {
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date_updated
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garage
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permalink
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year_built
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stories
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}
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address {
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address_validation_code
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city
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country
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county
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line
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postal_code
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state_code
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street_direction
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street_name
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street_number
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street_suffix
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street_post_direction
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unit_value
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unit
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unit_descriptor
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zip
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}
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basic {
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baths
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beds
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price
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sqft
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lot_sqft
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type
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sold_price
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}
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public_record {
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lot_size
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sqft
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stories
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units
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year_built
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}
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}
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}"""
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variables = {"property_id": property_id}
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payload = {
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"query": query,
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"variables": variables,
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}
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response = self.session.post(self.search_url, json=payload)
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response_json = response.json()
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property_info = response_json["data"]["property"]
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street_address, unit = parse_address_two(property_info["address"]["line"])
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return [
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Property(
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site_name=self.site_name,
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address=Address(
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street_address=street_address,
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city=property_info["address"]["city"],
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state=property_info["address"]["state_code"],
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zip_code=property_info["address"]["postal_code"],
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unit=unit,
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country="USA",
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),
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property_url="https://www.realtor.com/realestateandhomes-detail/"
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+ property_info["details"]["permalink"],
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beds=property_info["basic"]["beds"],
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baths=property_info["basic"]["baths"],
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stories=property_info["details"]["stories"],
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year_built=property_info["details"]["year_built"],
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square_feet=property_info["basic"]["sqft"],
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price_per_sqft=property_info["basic"]["price"]
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// property_info["basic"]["sqft"]
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if property_info["basic"]["sqft"] is not None
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and property_info["basic"]["price"] is not None
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else None,
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price=property_info["basic"]["price"],
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mls_id=property_id,
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listing_type=self.listing_type,
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lot_area_value=property_info["public_record"]["lot_size"]
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if property_info["public_record"] is not None
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else None,
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)
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]
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def handle_area(
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self, variables: dict, return_total: bool = False
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) -> list[Property] | int:
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query = (
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"""query Home_search(
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$city: String,
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$county: [String],
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$state_code: String,
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$postal_code: String
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$offset: Int,
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) {
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home_search(
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query: {
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city: $city
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county: $county
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postal_code: $postal_code
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state_code: $state_code
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status: %s
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}
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limit: 200
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offset: $offset
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) {
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count
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total
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results {
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property_id
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description {
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baths
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beds
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lot_sqft
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sqft
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text
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sold_price
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stories
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year_built
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garage
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unit_number
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floor_number
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}
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location {
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address {
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city
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country
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line
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postal_code
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state_code
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state
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street_direction
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street_name
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street_number
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street_post_direction
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street_suffix
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unit
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coordinate {
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lon
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lat
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}
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}
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}
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list_price
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price_per_sqft
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source {
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id
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}
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}
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}
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}"""
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% self.listing_type.value.lower()
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)
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payload = {
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"query": query,
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"variables": variables,
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}
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response = self.session.post(self.search_url, json=payload)
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response.raise_for_status()
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response_json = response.json()
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if return_total:
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return response_json["data"]["home_search"]["total"]
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properties: list[Property] = []
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if (
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response_json is None
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or "data" not in response_json
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or response_json["data"] is None
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or "home_search" not in response_json["data"]
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or response_json["data"]["home_search"] is None
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or "results" not in response_json["data"]["home_search"]
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):
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return []
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for result in response_json["data"]["home_search"]["results"]:
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street_address, unit = parse_address_two(
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result["location"]["address"]["line"]
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)
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realty_property = Property(
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address=Address(
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street_address=street_address,
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city=result["location"]["address"]["city"],
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state=result["location"]["address"]["state_code"],
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zip_code=result["location"]["address"]["postal_code"],
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unit=parse_unit(result["location"]["address"]["unit"]),
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country="USA",
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),
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latitude=result["location"]["address"]["coordinate"]["lat"] if result and result.get("location") and result["location"].get("address") and result["location"]["address"].get("coordinate") and "lat" in result["location"]["address"]["coordinate"] else None,
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longitude=result["location"]["address"]["coordinate"]["lon"] if result and result.get("location") and result["location"].get("address") and result["location"]["address"].get("coordinate") and "lon" in result["location"]["address"]["coordinate"] else None,
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site_name=self.site_name,
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property_url="https://www.realtor.com/realestateandhomes-detail/"
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+ result["property_id"],
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beds=result["description"]["beds"],
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baths=result["description"]["baths"],
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stories=result["description"]["stories"],
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year_built=result["description"]["year_built"],
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square_feet=result["description"]["sqft"],
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price_per_sqft=result["price_per_sqft"],
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price=result["list_price"],
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mls_id=result["property_id"],
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listing_type=self.listing_type,
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lot_area_value=result["description"]["lot_sqft"],
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)
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properties.append(realty_property)
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return properties
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def search(self):
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location_info = self.handle_location()
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location_type = location_info["area_type"]
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if location_type == "address":
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property_id = location_info["mpr_id"]
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return self.handle_address(property_id)
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offset = 0
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search_variables = {
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"city": location_info.get("city"),
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"county": location_info.get("county"),
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"state_code": location_info.get("state_code"),
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"postal_code": location_info.get("postal_code"),
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"offset": offset,
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}
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total = self.handle_area(search_variables, return_total=True)
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homes = []
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with ThreadPoolExecutor(max_workers=10) as executor:
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futures = [
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executor.submit(
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self.handle_area,
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variables=search_variables | {"offset": i},
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return_total=False,
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)
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for i in range(0, total, 200)
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]
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for future in as_completed(futures):
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homes.extend(future.result())
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return homes
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