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4 Commits

Author SHA1 Message Date
zacharyhampton
8a6ac96db4 Refactor scraper to use direct requests and bump to 0.8.18
- Replace session-based approach with direct requests calls
- Move headers to module-level DEFAULT_HEADERS constant
- Temporarily disable extra_property_data feature

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-26 00:29:53 -07:00
zacharyhampton
129ab37dff Version bump to 0.8.17
🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-21 19:11:10 -07:00
zacharyhampton
9a0cac650e Version bump to 0.8.16 2025-12-21 16:22:03 -07:00
zacharyhampton
a1c1bcc822 Version bump to 0.8.15
🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-21 16:03:57 -07:00
4 changed files with 155 additions and 85 deletions

View File

@@ -2,16 +2,34 @@ from __future__ import annotations
from typing import Union
import requests
from requests.adapters import HTTPAdapter
from urllib3.util.retry import Retry
import uuid
import secrets
from ...exceptions import AuthenticationError
from .models import Property, ListingType, SiteName, SearchPropertyType, ReturnType
import json
from pydantic import BaseModel
DEFAULT_HEADERS = {
'Content-Type': 'application/json',
'Accept': '*/*',
'Accept-Language': 'en-US,en;q=0.9',
'Cache-Control': 'no-cache',
'Origin': 'https://www.realtor.com',
'Pragma': 'no-cache',
'Referer': 'https://www.realtor.com/',
'rdc-client-name': 'RDC_WEB_SRP_FS_PAGE',
'rdc-client-version': '3.0.2515',
'sec-ch-ua': '"Google Chrome";v="135", "Not-A.Brand";v="8", "Chromium";v="135"',
'sec-ch-ua-mobile': '?0',
'sec-ch-ua-platform': '"macOS"',
'sec-fetch-dest': 'empty',
'sec-fetch-mode': 'cors',
'sec-fetch-site': 'same-site',
'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/135.0.0.0 Safari/537.36',
'x-is-bot': 'false',
}
class ScraperInput(BaseModel):
location: str
listing_type: ListingType | list[ListingType] | None
@@ -61,8 +79,6 @@ class ScraperInput(BaseModel):
class Scraper:
session = None
def __init__(
self,
scraper_input: ScraperInput,
@@ -70,35 +86,8 @@ class Scraper:
self.location = scraper_input.location
self.listing_type = scraper_input.listing_type
self.property_type = scraper_input.property_type
if not self.session:
Scraper.session = requests.Session()
retries = Retry(
total=3, backoff_factor=4, status_forcelist=[429], allowed_methods=frozenset(["GET", "POST"])
)
adapter = HTTPAdapter(max_retries=retries, pool_connections=10, pool_maxsize=20)
Scraper.session.mount("http://", adapter)
Scraper.session.mount("https://", adapter)
Scraper.session.headers.update(
{
'Content-Type': 'application/json',
'apollographql-client-version': '26.11.1-26.11.1.1106489',
'Accept': '*/*',
'Accept-Language': 'en-US,en;q=0.9',
'rdc-client-version': '26.11.1',
'X-APOLLO-OPERATION-TYPE': 'query',
'X-APOLLO-OPERATION-ID': secrets.token_hex(32),
'rdc-client-name': 'RDC_NATIVE_MOBILE-iPhone-com.move.Realtor',
'apollographql-client-name': 'com.move.Realtor-apollo-ios',
'User-Agent': 'Realtor.com/26.11.1.1106489 CFNetwork/3860.200.71 Darwin/25.1.0',
}
)
self.proxy = scraper_input.proxy
if self.proxy:
proxies = {"http": self.proxy, "https": self.proxy}
self.session.proxies.update(proxies)
self.proxies = {"http": self.proxy, "https": self.proxy} if self.proxy else None
self.listing_type = scraper_input.listing_type
self.radius = scraper_input.radius
@@ -109,7 +98,7 @@ class Scraper:
self.date_from_precision = scraper_input.date_from_precision
self.date_to_precision = scraper_input.date_to_precision
self.foreclosure = scraper_input.foreclosure
self.extra_property_data = scraper_input.extra_property_data
self.extra_property_data = False # TODO: temporarily disabled
self.exclude_pending = scraper_input.exclude_pending
self.limit = scraper_input.limit
self.offset = scraper_input.offset

View File

@@ -8,9 +8,8 @@ This module implements the scraper for realtor.com
from __future__ import annotations
import json
import re
import requests
from concurrent.futures import ThreadPoolExecutor, as_completed
from datetime import datetime
from json import JSONDecodeError
from typing import Dict, Union
@@ -22,14 +21,14 @@ from tenacity import (
stop_after_attempt,
)
from .. import Scraper
from .. import Scraper, DEFAULT_HEADERS
from ....exceptions import AuthenticationError
from ..models import (
Property,
ListingType,
ReturnType
)
from .queries import GENERAL_RESULTS_QUERY, SEARCH_HOMES_DATA, HOMES_DATA, HOME_FRAGMENT, SEARCH_RESULTS_FRAGMENT, LISTING_PHOTOS_FRAGMENT, MORPHEUS_SUGGESTIONS_QUERY
from .queries import GENERAL_RESULTS_QUERY, HOMES_DATA, SEARCH_SUGGESTIONS_QUERY
from .processors import (
process_property,
process_extra_property_details,
@@ -38,7 +37,7 @@ from .processors import (
class RealtorScraper(Scraper):
SEARCH_GQL_URL = "https://api.frontdoor.realtor.com/graphql"
SEARCH_GQL_URL = "https://www.realtor.com/frontdoor/graphql"
NUM_PROPERTY_WORKERS = 20
DEFAULT_PAGE_SIZE = 200
@@ -53,26 +52,28 @@ class RealtorScraper(Scraper):
def _graphql_post(self, query: str, variables: dict, operation_name: str) -> dict:
"""
Execute a GraphQL query with operation-specific headers.
Execute a GraphQL query.
Args:
query: GraphQL query string (must include operationName matching operation_name param)
variables: Query variables dictionary
operation_name: Name of the GraphQL operation for Apollo headers
operation_name: Name of the GraphQL operation
Returns:
Response JSON dictionary
"""
# Set operation-specific header (must match query's operationName)
self.session.headers['X-APOLLO-OPERATION-NAME'] = operation_name
payload = {
"operationName": operation_name, # Include in payload
"operationName": operation_name,
"query": self._minify_query(query),
"variables": variables,
}
response = self.session.post(self.SEARCH_GQL_URL, data=json.dumps(payload, separators=(',', ':')))
response = requests.post(
self.SEARCH_GQL_URL,
headers=DEFAULT_HEADERS,
data=json.dumps(payload, separators=(',', ':')),
proxies=self.proxies
)
if response.status_code == 403:
if not self.proxy:
@@ -97,7 +98,7 @@ class RealtorScraper(Scraper):
}
}
response_json = self._graphql_post(MORPHEUS_SUGGESTIONS_QUERY, variables, "GetMorpheusSuggestions")
response_json = self._graphql_post(SEARCH_SUGGESTIONS_QUERY, variables, "Search_suggestions")
if (
response_json is None
@@ -129,6 +130,11 @@ class RealtorScraper(Scraper):
}
if geo.get("area_type") == "address":
# Try to get mpr_id directly from API response first
if geo.get("mpr_id"):
result["mpr_id"] = geo.get("mpr_id")
else:
# Fallback: extract from _id field if it has addr: prefix
geo_id = geo.get("_id", "")
if geo_id.startswith("addr:"):
result["mpr_id"] = geo_id.replace("addr:", "")
@@ -169,13 +175,10 @@ class RealtorScraper(Scraper):
def handle_home(self, property_id: str) -> list[Property]:
"""Fetch single home with proper error handling."""
query = (
"""%s
query GetHomeDetails($property_id: ID!) {
home(property_id: $property_id) {
...HomeDetailsFragment
}
"""query GetHomeDetails($property_id: ID!) {
home(property_id: $property_id) %s
}"""
% HOME_FRAGMENT
% HOMES_DATA
)
variables = {"property_id": property_id}
@@ -422,9 +425,7 @@ class RealtorScraper(Scraper):
limit: 200
offset: $offset
) %s
}
%s
%s""" % (
}""" % (
is_foreclosure,
status_param,
date_param,
@@ -433,13 +434,11 @@ class RealtorScraper(Scraper):
pending_or_contingent_param,
sort_param,
GENERAL_RESULTS_QUERY,
SEARCH_RESULTS_FRAGMENT,
LISTING_PHOTOS_FRAGMENT,
)
elif search_type == "area": #: general search, came from a general location
query = """query GetHomeSearch(
$search_location: SearchLocation,
$offset: Int,
$offset: Int
) {
homeSearch: home_search(
query: {
@@ -456,9 +455,7 @@ class RealtorScraper(Scraper):
limit: 200
offset: $offset
) %s
}
%s
%s""" % (
}""" % (
is_foreclosure,
status_param,
date_param,
@@ -468,8 +465,6 @@ class RealtorScraper(Scraper):
bucket_param,
sort_param,
GENERAL_RESULTS_QUERY,
SEARCH_RESULTS_FRAGMENT,
LISTING_PHOTOS_FRAGMENT,
)
else: #: general search, came from an address
query = (
@@ -484,10 +479,8 @@ class RealtorScraper(Scraper):
limit: 1
offset: $offset
) %s
}
%s
%s"""
% (GENERAL_RESULTS_QUERY, SEARCH_RESULTS_FRAGMENT, LISTING_PHOTOS_FRAGMENT)
}"""
% GENERAL_RESULTS_QUERY
)
response_json = self._graphql_post(query, variables, "GetHomeSearch")
@@ -1126,12 +1119,10 @@ class RealtorScraper(Scraper):
property_ids = list(set(property_ids))
fragments = "\n".join(
f'home_{property_id}: home(property_id: {property_id}) {{ ...SearchFragment }}'
f'home_{property_id}: home(property_id: {property_id}) {HOMES_DATA}'
for property_id in property_ids
)
query = f"""{HOME_FRAGMENT}
query GetHome {{
query = f"""query GetHome {{
{fragments}
}}"""

View File

@@ -1,5 +1,5 @@
SEARCH_RESULTS_FRAGMENT = """
fragment SearchFragment on SearchHome {
fragment PropertyResult on SearchHome {
__typename
pending_date
listing_id
@@ -371,7 +371,7 @@ _SEARCH_HOMES_DATA_BASE = """{
HOME_FRAGMENT = """
fragment SearchFragment on Home {
fragment PropertyResult on Home {
__typename
pending_date
listing_id
@@ -689,12 +689,8 @@ GENERAL_RESULTS_QUERY = """{
__typename
count
total
results {
__typename
...SearchFragment
...ListingPhotosFragment
}
}"""
results %s
}""" % SEARCH_HOMES_DATA
LISTING_PHOTOS_FRAGMENT = """
fragment ListingPhotosFragment on SearchHome {
@@ -712,4 +708,98 @@ fragment ListingPhotosFragment on SearchHome {
}
"""
MORPHEUS_SUGGESTIONS_QUERY = """query GetMorpheusSuggestions($searchInput: SearchSuggestionsInput!) { search_suggestions(search_input: $searchInput) { __typename geo_results { __typename type text geo { __typename _id _score mpr_id area_type city state_code postal_code country lat lon county counties { __typename name fips state_code } slug_id geo_id score name city_slug_id centroid { __typename lat lon } county_needed_for_uniq street line school school_id school_district school_district_id has_catchment university university_id neighborhood park } } no_matches has_results filter_criteria { __typename property_type { __typename type } price { __typename min max pattern } bed { __typename min max pattern } bath { __typename min max pattern } feature_tags { __typename tags } listing_status { __typename new_construction existing_homes foreclosures recently_sold fifty_five_plus open_house hide_new_construction hide_existing_homes hide_foreclosures hide_recently_sold hide_fifty_five_plus hide_open_house virtual_tour three_d_tour contingent hide_contingent pending hide_pending } keyword { __typename keywords } garage { __typename min max pattern } age { __typename min max pattern } stories { __typename min max pattern } lot_size { __typename min max pattern } square_feet { __typename min max pattern } home_size { __typename min max pattern } basement finished_basement pool waterfront fireplace detached_garage expand { __typename radius } hoa { __typename type fee } } message_data { __typename property_type pool waterfront fireplace basement finished_basement detached_garage listing_status { __typename new_construction existing_homes foreclosures recently_sold fifty_five_plus open_house hide_new_construction hide_existing_homes hide_foreclosures hide_recently_sold hide_fifty_five_plus hide_open_house } keywords price { __typename min max pattern } bed { __typename min max pattern } bath { __typename min max pattern } garage { __typename min max pattern } stories { __typename min max pattern } age { __typename min max pattern } lot_size { __typename min max pattern } square_feet { __typename min max pattern } } original_string morpheus_context } }"""
SEARCH_SUGGESTIONS_QUERY = """query Search_suggestions($searchInput: SearchSuggestionsInput!) {
search_suggestions(search_input: $searchInput) {
raw_input_parser_result
typeahead_results {
display_string
display_geo
geo {
_id
_score
mpr_id
area_type
city
state_code
state
postal_code
country
lat
lon
county
counties {
name
fips
state_code
}
slug_id
geo_id
score
name
city_slug_id
centroid {
lat
lon
}
county_needed_for_uniq
street
line
school
school_id
school_district
has_catchment
university
university_id
neighborhood
park
}
url
}
geo_results {
type
text
geo {
_id
_score
mpr_id
area_type
city
state_code
state
postal_code
country
lat
lon
county
counties {
name
fips
state_code
}
slug_id
geo_id
score
name
city_slug_id
centroid {
lat
lon
}
county_needed_for_uniq
street
line
school
school_id
school_district
has_catchment
university
university_id
neighborhood
park
}
}
no_matches
has_results
original_string
}
}"""

View File

@@ -1,6 +1,6 @@
[tool.poetry]
name = "homeharvest"
version = "0.8.14"
version = "0.8.18"
description = "Real estate scraping library"
authors = ["Zachary Hampton <zachary@bunsly.com>", "Cullen Watson <cullen@bunsly.com>"]
homepage = "https://github.com/ZacharyHampton/HomeHarvest"