HomeHarvest/homeharvest/core/scrapers/realtor/__init__.py

269 lines
10 KiB
Python

import json
from ..models import Property, Address
from .. import Scraper
from typing import Any, Generator
from ....exceptions import NoResultsFound
from concurrent.futures import ThreadPoolExecutor, as_completed
class RealtorScraper(Scraper):
def __init__(self, scraper_input):
super().__init__(scraper_input)
self.search_url = "https://www.realtor.com/api/v1/rdc_search_srp?client_id=rdc-search-new-communities&schema=vesta"
def handle_location(self):
headers = {
"authority": "parser-external.geo.moveaws.com",
"accept": "*/*",
"accept-language": "en-US,en;q=0.9",
"origin": "https://www.realtor.com",
"referer": "https://www.realtor.com/",
"sec-ch-ua": '"Chromium";v="116", "Not)A;Brand";v="24", "Google Chrome";v="116"',
"sec-ch-ua-mobile": "?0",
"sec-ch-ua-platform": '"Windows"',
"sec-fetch-dest": "empty",
"sec-fetch-mode": "cors",
"sec-fetch-site": "cross-site",
"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",
}
params = {
"input": self.location,
"client_id": self.listing_type.value.replace('_', '-'),
"limit": "1",
"area_types": "city,state,county,postal_code,address,street,neighborhood,school,school_district,university,park",
}
response = self.session.get(
"https://parser-external.geo.moveaws.com/suggest",
params=params,
headers=headers,
)
response_json = response.json()
result = response_json["autocomplete"]
if result is None:
raise NoResultsFound("No results found for location: " + self.location)
return result[0]
def handle_address(self, property_id: str) -> list[Property]:
query = """query Property($property_id: ID!) {
property(id: $property_id) {
property_id
details {
date_updated
garage
permalink
year_built
stories
}
address {
address_validation_code
city
country
county
line
postal_code
state_code
street_direction
street_name
street_number
street_suffix
street_post_direction
unit_value
unit
unit_descriptor
zip
}
basic {
baths
beds
price
sqft
lot_sqft
type
sold_price
}
public_record {
lot_size
sqft
stories
units
year_built
}
}
}"""
variables = {
'property_id': property_id
}
payload = {
'query': query,
'variables': variables,
}
response = self.session.post(self.search_url, json=payload)
response_json = response.json()
property_info = response_json['data']['property']
return [Property(
site_name=self.site_name,
address=Address(
address_one=property_info['address']['line'],
city=property_info['address']['city'],
state=property_info['address']['state_code'],
zip_code=property_info['address']['postal_code'],
),
url="https://www.realtor.com/realestateandhomes-detail/" + property_info['details']['permalink'],
beds=property_info['basic']['beds'],
baths=property_info['basic']['baths'],
stories=property_info['details']['stories'],
year_built=property_info['details']['year_built'],
square_feet=property_info['basic']['sqft'],
price_per_square_foot=property_info['basic']['price'] / property_info['basic']['sqft']
if property_info['basic']['sqft'] is not None and
property_info['basic']['price'] is not None
else None,
price=property_info['basic']['price'],
mls_id=property_id,
listing_type=self.listing_type,
lot_size=property_info['public_record']['lot_size'] if property_info['public_record'] is not None else None,
)]
def handle_area(self, variables: dict, return_total: bool = False) -> list[Property] | int:
query = """query Home_search(
$city: String,
$county: [String],
$state_code: String,
$postal_code: String
$offset: Int,
) {
home_search(
query: {
city: $city
county: $county
postal_code: $postal_code
state_code: $state_code
status: %s
}
limit: 200
offset: $offset
) {
count
total
results {
property_id
description {
baths
beds
lot_sqft
sqft
text
sold_price
stories
year_built
garage
unit_number
floor_number
}
location {
address {
city
country
line
postal_code
state_code
state
street_direction
street_name
street_number
street_post_direction
street_suffix
unit
}
}
list_price
price_per_sqft
source {
id
}
}
}
}""" % self.listing_type.value
payload = {
'query': query,
'variables': variables,
}
response = self.session.post(self.search_url, json=payload)
response_json = response.json()
if return_total:
return response_json['data']['home_search']['total']
properties: list[Property] = []
for result in response_json['data']['home_search']['results']:
realty_property = Property(
address=Address(
address_one=result['location']['address']['line'],
city=result['location']['address']['city'],
state=result['location']['address']['state_code'],
zip_code=result['location']['address']['postal_code'],
address_two=result['location']['address']['unit'],
),
site_name=self.site_name,
url="https://www.realtor.com/realestateandhomes-detail/" + result['property_id'],
beds=result['description']['beds'],
baths=result['description']['baths'],
stories=result['description']['stories'],
year_built=result['description']['year_built'],
square_feet=result['description']['sqft'],
price_per_square_foot=result['price_per_sqft'],
price=result['list_price'],
mls_id=result['property_id'],
listing_type=self.listing_type,
lot_size=result['description']['lot_sqft'],
)
properties.append(realty_property)
return properties
def search(self):
location_info = self.handle_location()
location_type = location_info["area_type"]
if location_type == 'address':
property_id = location_info['mpr_id']
return self.handle_address(property_id)
offset = 0
search_variables = {
'city': location_info.get('city'),
'county': location_info.get('county'),
'state_code': location_info.get('state_code'),
'postal_code': location_info.get('postal_code'),
'offset': offset,
}
total = self.handle_area(search_variables, return_total=True)
homes = []
with ThreadPoolExecutor(max_workers=10) as executor:
futures = [
executor.submit(
self.handle_area, variables=search_variables | {'offset': i}, return_total=False
) for i in range(0, total, 200)
]
for future in as_completed(futures):
homes.extend(future.result())
return homes