- agent mls set and nrds id

- new_construction data point
- renamed "agent" & "broker" to "agent_name" & "broker_name"
- added builder & office data
- added entity uuids

README.md

@@ -21,7 +21,7 @@
 ```bash
 pip install -U homeharvest
 ```
-  _Python version >= [3.10](https://www.python.org/downloads/release/python-3100/) required_
+  _Python version >= [3.9](https://www.python.org/downloads/release/python-3100/) required_
 
 ## Usage
 
@@ -43,7 +43,6 @@ properties = scrape_property(
   # date_from="2023-05-01", # alternative to past_days
   # date_to="2023-05-28",
   # foreclosure=True
-
   # mls_only=True,  # only fetch MLS listings
 )
 print(f"Number of properties: {len(properties)}")
@@ -91,7 +90,13 @@ Optional
 │
 ├── foreclosure (True/False): If set, fetches only foreclosures
 │
-└── proxy (string): In format 'http://user:pass@host:port'
+├── proxy (string): In format 'http://user:pass@host:port'
+│
+├── extra_property_data (True/False): Increases requests by O(n). If set, this fetches additional property data for general searches (e.g. schools, tax appraisals etc.)
+│
+├── exclude_pending (True/False): If set, excludes pending properties from the results unless listing_type is 'pending'
+│
+└── limit (integer): Limit the number of properties to fetch. Max & default is 10000.
 ```
 
 ### Property Schema
@@ -118,17 +123,20 @@ Property
 │ ├── sqft
 │ ├── year_built
 │ ├── stories
+│ ├── garage
 │ └── lot_sqft
 
 ├── Property Listing Details:
 │ ├── days_on_mls
 │ ├── list_price
+│ ├── list_price_min
+│ ├── list_price_max
 │ ├── list_date
 │ ├── pending_date
 │ ├── sold_price
 │ ├── last_sold_date
 │ ├── price_per_sqft
-│ ├── parking_garage
+│ ├── new_construction
 │ └── hoa_fee
 
 ├── Location Details:
@@ -136,20 +144,31 @@ Property
 │ ├── longitude
 │ ├── nearby_schools
 
-
 ├── Agent Info:
-│ ├── agent
-│ ├── broker
-│ └── broker_phone
+│ ├── agent_id
+│ ├── agent_name
+│ ├── agent_email
+│ └── agent_phone
+
+├── Broker Info:
+│ ├── broker_id
+│ └── broker_name
+
+├── Builder Info:
+│ ├── builder_id
+│ └── builder_name
+
+├── Office Info:
+│ ├── office_id
+│ ├── office_name
+│ ├── office_phones
+│ └── office_email
 
-├── Agent Info:
-│ ├── agent
-│ ├── broker
-│ └── broker_phone
 ```
 
 ### Exceptions
 The following exceptions may be raised when using HomeHarvest:
 
-- `InvalidListingType` - valid options: `for_sale`, `for_rent`, `sold`
-- `InvalidDate` - date_from or date_to is not in the format YYYY-MM-DD
+- `InvalidListingType` - valid options: `for_sale`, `for_rent`, `sold`, `pending`.
+- `InvalidDate` - date_from or date_to is not in the format YYYY-MM-DD.
+- `AuthenticationError` - Realtor.com token request failed.

homeharvest/__init__.py

@@ -1,7 +1,7 @@
 import warnings
 import pandas as pd
 from .core.scrapers import ScraperInput
-from .utils import process_result, ordered_properties, validate_input, validate_dates
+from .utils import process_result, ordered_properties, validate_input, validate_dates, validate_limit
 from .core.scrapers.realtor import RealtorScraper
 from .core.scrapers.models import ListingType
 
@@ -13,22 +13,30 @@ def scrape_property(
     mls_only: bool = False,
     past_days: int = None,
     proxy: str = None,
-    date_from: str = None,
+    date_from: str = None,  #: TODO: Switch to one parameter, Date, with date_from and date_to, pydantic validation
     date_to: str = None,
     foreclosure: bool = None,
+    extra_property_data: bool = True,
+    exclude_pending: bool = False,
+    limit: int = 10000,
 ) -> pd.DataFrame:
     """
     Scrape properties from Realtor.com based on a given location and listing type.
     :param location: Location to search (e.g. "Dallas, TX", "85281", "2530 Al Lipscomb Way")
-    :param listing_type: Listing Type (for_sale, for_rent, sold)
+    :param listing_type: Listing Type (for_sale, for_rent, sold, pending)
     :param radius: Get properties within _ (e.g. 1.0) miles. Only applicable for individual addresses.
     :param mls_only: If set, fetches only listings with MLS IDs.
+    :param proxy: Proxy to use for scraping
     :param past_days: Get properties sold or listed (dependent on your listing_type) in the last _ days.
     :param date_from, date_to: Get properties sold or listed (dependent on your listing_type) between these dates. format: 2021-01-28
-    :param proxy: Proxy to use for scraping
+    :param foreclosure: If set, fetches only foreclosure listings.
+    :param extra_property_data: Increases requests by O(n). If set, this fetches additional property data (e.g. agent, broker, property evaluations etc.)
+    :param exclude_pending: If true, this excludes pending or contingent properties from the results, unless listing type is pending.
+    :param limit: Limit the number of results returned. Maximum is 10,000.
     """
     validate_input(listing_type)
     validate_dates(date_from, date_to)
+    validate_limit(limit)
 
     scraper_input = ScraperInput(
         location=location,
@@ -40,15 +48,19 @@ def scrape_property(
         date_from=date_from,
         date_to=date_to,
         foreclosure=foreclosure,
+        extra_property_data=extra_property_data,
+        exclude_pending=exclude_pending,
+        limit=limit,
     )
 
     site = RealtorScraper(scraper_input)
     results = site.search()
 
-    properties_dfs = [process_result(result) for result in results]
+    properties_dfs = [df for result in results if not (df := process_result(result)).empty]
     if not properties_dfs:
         return pd.DataFrame()
 
     with warnings.catch_warnings():
         warnings.simplefilter("ignore", category=FutureWarning)
-        return pd.concat(properties_dfs, ignore_index=True, axis=0)[ordered_properties]
+
+        return pd.concat(properties_dfs, ignore_index=True, axis=0)[ordered_properties].replace({"None": pd.NA, None: pd.NA, "": pd.NA})

homeharvest/core/scrapers/__init__.py

@@ -1,8 +1,12 @@
-import uuid
+from __future__ import annotations
 from dataclasses import dataclass
 import requests
+from requests.adapters import HTTPAdapter
+from urllib3.util.retry import Retry
 import uuid
+from ...exceptions import AuthenticationError
 from .models import Property, ListingType, SiteName
+import json
 
 
 @dataclass
@@ -10,33 +14,42 @@ class ScraperInput:
     location: str
     listing_type: ListingType
     radius: float | None = None
-    mls_only: bool | None = None
+    mls_only: bool | None = False
     proxy: str | None = None
     last_x_days: int | None = None
     date_from: str | None = None
     date_to: str | None = None
-    foreclosure: bool | None = None
+    foreclosure: bool | None = False
+    extra_property_data: bool | None = True
+    exclude_pending: bool | None = False
+    limit: int = 10000
 
 
 class Scraper:
+    session = None
+
     def __init__(
         self,
         scraper_input: ScraperInput,
-        session: requests.Session = None,
     ):
         self.location = scraper_input.location
         self.listing_type = scraper_input.listing_type
 
-        if not session:
-            self.session = requests.Session()
-            self.session.headers.update(
+        if not self.session:
+            Scraper.session = requests.Session()
+            retries = Retry(
+                total=3, backoff_factor=3, status_forcelist=[429, 403], allowed_methods=frozenset(["GET", "POST"])
+            )
+
+            adapter = HTTPAdapter(max_retries=retries)
+            Scraper.session.mount("http://", adapter)
+            Scraper.session.mount("https://", adapter)
+            Scraper.session.headers.update(
                 {
                     "auth": f"Bearer {self.get_access_token()}",
                     "apollographql-client-name": "com.move.Realtor-apollo-ios",
                 }
             )
-        else:
-            self.session = session
 
         if scraper_input.proxy:
             proxy_url = scraper_input.proxy
@@ -50,6 +63,9 @@ class Scraper:
         self.date_from = scraper_input.date_from
         self.date_to = scraper_input.date_to
         self.foreclosure = scraper_input.foreclosure
+        self.extra_property_data = scraper_input.extra_property_data
+        self.exclude_pending = scraper_input.exclude_pending
+        self.limit = scraper_input.limit
 
     def search(self) -> list[Property]: ...
 
@@ -58,19 +74,34 @@ class Scraper:
 
     def handle_location(self): ...
 
-    def get_access_token(self):
-        url = "https://graph.realtor.com/auth/token"
+    @staticmethod
+    def get_access_token():
+        device_id = str(uuid.uuid4()).upper()
 
-        payload = f'{{"client_app_id":"rdc_mobile_native,24.20.4.149916,iphone","device_id":"{str(uuid.uuid4()).upper()}","grant_type":"device_mobile"}}'
-        headers = {
-            "Host": "graph.realtor.com",
-            "x-client-version": "24.20.4.149916",
-            "accept": "*/*",
-            "content-type": "Application/json",
-            "user-agent": "Realtor.com/24.20.4.149916 CFNetwork/1410.0.3 Darwin/22.6.0",
-            "accept-language": "en-US,en;q=0.9",
-        }
-        response = requests.post(url, headers=headers, data=payload)
+        response = requests.post(
+            "https://graph.realtor.com/auth/token",
+            headers={
+                'Host': 'graph.realtor.com',
+                'Accept': '*/*',
+                'Content-Type': 'Application/json',
+                'X-Client-ID': 'rdc_mobile_native,iphone',
+                'X-Visitor-ID': device_id,
+                'X-Client-Version': '24.21.23.679885',
+                'Accept-Language': 'en-US,en;q=0.9',
+                'User-Agent': 'Realtor.com/24.21.23.679885 CFNetwork/1494.0.7 Darwin/23.4.0',
+            },
+            data=json.dumps({
+                "grant_type": "device_mobile",
+                "device_id": device_id,
+                "client_app_id": "rdc_mobile_native,24.21.23.679885,iphone"
+            }))
 
         data = response.json()
-        return data["access_token"]
+
+        if not (access_token := data.get("access_token")):
+            raise AuthenticationError(
+                "Failed to get access token, use a proxy/vpn or wait a moment and try again.",
+                response=response
+            )
+
+        return access_token

homeharvest/core/scrapers/models.py

@@ -1,3 +1,4 @@
+from __future__ import annotations
 from dataclasses import dataclass
 from enum import Enum
 from typing import Optional
@@ -33,9 +34,12 @@ class PropertyType(Enum):
     APARTMENT = "APARTMENT"
     BUILDING = "BUILDING"
     COMMERCIAL = "COMMERCIAL"
+    GOVERNMENT = "GOVERNMENT"
+    INDUSTRIAL = "INDUSTRIAL"
     CONDO_TOWNHOME = "CONDO_TOWNHOME"
     CONDO_TOWNHOME_ROWHOME_COOP = "CONDO_TOWNHOME_ROWHOME_COOP"
     CONDO = "CONDO"
+    CONDOP = "CONDOP"
     CONDOS = "CONDOS"
     COOP = "COOP"
     DUPLEX_TRIPLEX = "DUPLEX_TRIPLEX"
@@ -52,6 +56,7 @@ class PropertyType(Enum):
 
 @dataclass
 class Address:
+    full_line: str | None = None
     street: str | None = None
     unit: str | None = None
     city: str | None = None
@@ -77,9 +82,51 @@ class Description:
 
 
 @dataclass
-class Agent:
-    name: str | None = None
-    phone: str | None = None
+class AgentPhone:  #: For documentation purposes only (at the moment)
+    number: str | None = None
+    type: str | None = None
+    primary: bool | None = None
+    ext: str | None = None
+
+
+@dataclass
+class Entity:
+    name: str
+    uuid: str | None = None
+
+
+@dataclass
+class Agent(Entity):
+    mls_set: str | None = None
+    nrds_id: str | None = None
+    phones: list[dict] | AgentPhone | None = None
+    email: str | None = None
+    href: str | None = None
+
+
+@dataclass
+class Office(Entity):
+    email: str | None = None
+    href: str | None = None
+    phones: list[dict] | AgentPhone | None = None
+
+
+@dataclass
+class Broker(Entity):
+    pass
+
+
+@dataclass
+class Builder(Entity):
+    pass
+
+
+@dataclass
+class Advertisers:
+    agent: Agent | None = None
+    broker: Broker | None = None
+    builder: Builder | None = None
+    office: Office | None = None
 
 
 @dataclass
@@ -91,10 +138,14 @@ class Property:
     address: Address | None = None
 
     list_price: int | None = None
+    list_price_min: int | None = None
+    list_price_max: int | None = None
+
     list_date: str | None = None
     pending_date: str | None = None
     last_sold_date: str | None = None
     prc_sqft: int | None = None
+    new_construction: bool | None = None
     hoa_fee: int | None = None
     days_on_mls: int | None = None
     description: Description | None = None
@@ -104,5 +155,8 @@ class Property:
     neighborhoods: Optional[str] = None
     county: Optional[str] = None
     fips_code: Optional[str] = None
-    agents: list[Agent] = None
     nearby_schools: list[str] = None
+    assessed_value: int | None = None
+    estimated_value: int | None = None
+
+    advertisers: Advertisers | None = None

homeharvest/core/scrapers/realtor/__init__.py

@@ -5,12 +5,14 @@ homeharvest.realtor.__init__
 This module implements the scraper for realtor.com
 """
 
+from __future__ import annotations
+from concurrent.futures import ThreadPoolExecutor, as_completed
 from datetime import datetime
 from typing import Dict, Union, Optional
-from concurrent.futures import ThreadPoolExecutor, as_completed
 
 from .. import Scraper
-from ..models import Property, Address, ListingType, Description, PropertyType, Agent
+from ..models import Property, Address, ListingType, Description, PropertyType, Agent, Broker, Builder, Advertisers, Office
+from .queries import GENERAL_RESULTS_QUERY, SEARCH_HOMES_DATA, HOMES_DATA
 
 
 class RealtorScraper(Scraper):
@@ -19,6 +21,7 @@ class RealtorScraper(Scraper):
     PROPERTY_GQL = "https://graph.realtor.com/graphql"
     ADDRESS_AUTOCOMPLETE_URL = "https://parser-external.geo.moveaws.com/suggest"
     NUM_PROPERTY_WORKERS = 20
+    DEFAULT_PAGE_SIZE = 200
 
     def __init__(self, scraper_input):
         super().__init__(scraper_input)
@@ -44,147 +47,6 @@ class RealtorScraper(Scraper):
 
         return result[0]
 
-    def handle_listing(self, listing_id: str) -> list[Property]:
-        query = """query Listing($listing_id: ID!) {
-                    listing(id: $listing_id) {
-                        source {
-                            id
-                            listing_id
-                        }
-                        address {
-                            street_direction
-                            street_number
-                            street_name
-                            street_suffix
-                            unit
-                            city
-                            state_code
-                            postal_code
-                            location {
-                                coordinate {
-                                    lat
-                                    lon
-                                }
-                            }
-                        }
-                        basic {
-                            sqft
-                            beds
-                            baths_full
-                            baths_half
-                            lot_sqft
-                            sold_price
-                            sold_price
-                            type
-                            price
-                            status
-                            sold_date
-                            list_date
-                        }
-                        details {
-                            year_built
-                            stories
-                            garage
-                            permalink
-                        }
-                        media {
-                            photos {
-                                href
-                            }
-                        }
-                    }
-                }"""
-
-        variables = {"listing_id": listing_id}
-        payload = {
-            "query": query,
-            "variables": variables,
-        }
-
-        response = self.session.post(self.SEARCH_GQL_URL, json=payload)
-        response_json = response.json()
-
-        property_info = response_json["data"]["listing"]
-
-        mls = (
-            property_info["source"].get("id")
-            if "source" in property_info and isinstance(property_info["source"], dict)
-            else None
-        )
-
-        able_to_get_lat_long = (
-            property_info
-            and property_info.get("address")
-            and property_info["address"].get("location")
-            and property_info["address"]["location"].get("coordinate")
-        )
-        list_date_str = (
-            property_info["basic"]["list_date"].split("T")[0] if property_info["basic"].get("list_date") else None
-        )
-        last_sold_date_str = (
-            property_info["basic"]["sold_date"].split("T")[0] if property_info["basic"].get("sold_date") else None
-        )
-        pending_date_str = property_info["pending_date"].split("T")[0] if property_info.get("pending_date") else None
-
-        list_date = datetime.strptime(list_date_str, "%Y-%m-%d") if list_date_str else None
-        last_sold_date = datetime.strptime(last_sold_date_str, "%Y-%m-%d") if last_sold_date_str else None
-        pending_date = datetime.strptime(pending_date_str, "%Y-%m-%d") if pending_date_str else None
-        today = datetime.now()
-
-        days_on_mls = None
-        status = property_info["basic"]["status"].lower()
-        if list_date:
-            if status == "sold" and last_sold_date:
-                days_on_mls = (last_sold_date - list_date).days
-            elif status in ("for_sale", "for_rent"):
-                days_on_mls = (today - list_date).days
-            if days_on_mls and days_on_mls < 0:
-                days_on_mls = None
-
-        property_id = property_info["details"]["permalink"]
-        agents_schools = self.get_agents_schools(property_id)
-        listing = Property(
-            mls=mls,
-            mls_id=(
-                property_info["source"].get("listing_id")
-                if "source" in property_info and isinstance(property_info["source"], dict)
-                else None
-            ),
-            property_url=f"{self.PROPERTY_URL}{property_id}",
-            status=property_info["basic"]["status"].upper(),
-            list_price=property_info["basic"]["price"],
-            list_date=list_date,
-            prc_sqft=(
-                property_info["basic"].get("price") / property_info["basic"].get("sqft")
-                if property_info["basic"].get("price") and property_info["basic"].get("sqft")
-                else None
-            ),
-            last_sold_date=last_sold_date,
-            pending_date=pending_date,
-            latitude=property_info["address"]["location"]["coordinate"].get("lat") if able_to_get_lat_long else None,
-            longitude=property_info["address"]["location"]["coordinate"].get("lon") if able_to_get_lat_long else None,
-            address=self._parse_address(property_info, search_type="handle_listing"),
-            description=Description(
-                alt_photos=self.process_alt_photos(property_info.get("media", {}).get("photos", [])),
-                style=property_info["basic"].get("type", "").upper(),
-                beds=property_info["basic"].get("beds"),
-                baths_full=property_info["basic"].get("baths_full"),
-                baths_half=property_info["basic"].get("baths_half"),
-                sqft=property_info["basic"].get("sqft"),
-                lot_sqft=property_info["basic"].get("lot_sqft"),
-                sold_price=property_info["basic"].get("sold_price"),
-                year_built=property_info["details"].get("year_built"),
-                garage=property_info["details"].get("garage"),
-                stories=property_info["details"].get("stories"),
-                text=property_info["description"].get("text"),
-            ),
-            days_on_mls=days_on_mls,
-            agents=agents_schools["agents"],
-            nearby_schools=agents_schools["schools"],
-        )
-
-        return [listing]
-
     def get_latest_listing_id(self, property_id: str) -> str | None:
         query = """query Property($property_id: ID!) {
                     property(id: $property_id) {
@@ -218,64 +80,12 @@ class RealtorScraper(Scraper):
         else:
             return property_info["listings"][0]["listing_id"]
 
-    def handle_address(self, property_id: str) -> list[Property]:
-        """
-        Handles a specific address & returns one property
-        """
-        query = """query Property($property_id: ID!) {
-                    property(id: $property_id) {
-                        property_id
-                        details {
-                            date_updated
-                            garage
-                            permalink
-                            year_built
-                            stories
-                        }
-                        address {
-                            street_direction
-                            street_number
-                            street_name
-                            street_suffix
-                            unit
-                            city
-                            state_code
-                            postal_code
-                            location {
-                                coordinate {
-                                    lat
-                                    lon
-                                }
-                            }
-                        }
-                        basic {
-                            baths
-                            beds
-                            price
-                            sqft
-                            lot_sqft
-                            type
-                            sold_price
-                        }
-                        public_record {
-                            lot_size
-                            sqft
-                            stories
-                            units
-                            year_built
-                        }
-                        primary_photo {
-                            href
-                        }
-                        photos {
-                            href
-                        }
-                    }
-                }"""
+    def handle_home(self, property_id: str) -> list[Property]:
+        query = """query Home($property_id: ID!) {
+                    home(property_id: $property_id) %s
+                }""" % HOMES_DATA
 
         variables = {"property_id": property_id}
-        agents_schools = self.get_agents_schools(property_id)
-
         payload = {
             "query": query,
             "variables": variables,
@@ -284,97 +94,125 @@ class RealtorScraper(Scraper):
         response = self.session.post(self.SEARCH_GQL_URL, json=payload)
         response_json = response.json()
 
-        property_info = response_json["data"]["property"]
+        property_info = response_json["data"]["home"]
 
         return [
-            Property(
-                mls_id=property_id,
-                property_url=f"{self.PROPERTY_URL}{property_info['details']['permalink']}",
-                address=self._parse_address(property_info, search_type="handle_address"),
-                description=self._parse_description(property_info),
-                agents=agents_schools["agents"],
-                nearby_schools=agents_schools["schools"],
-            )
+            self.process_property(property_info, "home")
         ]
 
+    @staticmethod
+    def process_advertisers(advertisers: list[dict] | None) -> Advertisers | None:
+        if not advertisers:
+            return None
+
+        def _parse_fulfillment_id(fulfillment_id: str | None) -> str | None:
+            return fulfillment_id if fulfillment_id and fulfillment_id != "0" else None
+
+        processed_advertisers = Advertisers()
+
+        for advertiser in advertisers:
+            advertiser_type = advertiser.get("type")
+            if advertiser_type == "seller":  #: agent
+                processed_advertisers.agent = Agent(
+                    uuid=_parse_fulfillment_id(advertiser.get("fulfillment_id")),
+                    nrds_id=advertiser.get("nrds_id"),
+                    mls_set=advertiser.get("mls_set"),
+                    name=advertiser.get("name"),
+                    email=advertiser.get("email"),
+                    phones=advertiser.get("phones"),
+                )
+
+                if advertiser.get('broker') and advertiser["broker"].get('name'):  #: has a broker
+                    processed_advertisers.broker = Broker(
+                        uuid=_parse_fulfillment_id(advertiser["broker"].get("fulfillment_id")),
+                        name=advertiser["broker"].get("name"),
+                    )
+
+                if advertiser.get("office"):  #: has an office
+                    processed_advertisers.office = Office(
+                        uuid=_parse_fulfillment_id(advertiser["office"].get("fulfillment_id")) or advertiser["office"].get("mls_set"),
+                        name=advertiser["office"].get("name"),
+                        email=advertiser["office"].get("email"),
+                        phones=advertiser["office"].get("phones"),
+                    )
+
+            if advertiser_type == "community":  #: could be builder
+                if advertiser.get("builder"):
+                    processed_advertisers.builder = Builder(
+                        uuid=_parse_fulfillment_id(advertiser["builder"].get("fulfillment_id")),
+                        name=advertiser["builder"].get("name"),
+                    )
+
+        return processed_advertisers
+
+    def process_property(self, result: dict, query_name: str) -> Property | None:
+        mls = result["source"].get("id") if "source" in result and isinstance(result["source"], dict) else None
+
+        if not mls and self.mls_only:
+            return
+
+        able_to_get_lat_long = (
+                result
+                and result.get("location")
+                and result["location"].get("address")
+                and result["location"]["address"].get("coordinate")
+        )
+
+        is_pending = result["flags"].get("is_pending") or result["flags"].get("is_contingent")
+
+        if is_pending and (self.exclude_pending and self.listing_type != ListingType.PENDING):
+            return
+
+        property_id = result["property_id"]
+        prop_details = self.get_prop_details(property_id) if self.extra_property_data and query_name != "home" else {}
+        if not prop_details:
+            prop_details = self.process_extra_property_details(result)
+
+        property_estimates_root = result.get("current_estimates") or result.get("estimates", {}).get("currentValues")
+        estimated_value = self.get_key(property_estimates_root, [0, "estimate"])
+
+        advertisers = self.process_advertisers(result.get("advertisers"))
+
+        realty_property = Property(
+            mls=mls,
+            mls_id=(
+                result["source"].get("listing_id")
+                if "source" in result and isinstance(result["source"], dict)
+                else None
+            ),
+            property_url=(
+                f"{self.PROPERTY_URL}{property_id}"
+                if self.listing_type != ListingType.FOR_RENT
+                else f"{self.PROPERTY_URL}M{property_id}?listing_status=rental"
+            ),
+            status="PENDING" if is_pending else result["status"].upper(),
+            list_price=result["list_price"],
+            list_price_min=result["list_price_min"],
+            list_price_max=result["list_price_max"],
+            list_date=result["list_date"].split("T")[0] if result.get("list_date") else None,
+            prc_sqft=result.get("price_per_sqft"),
+            last_sold_date=result.get("last_sold_date"),
+            new_construction=result["flags"].get("is_new_construction") is True,
+            hoa_fee=result["hoa"]["fee"] if result.get("hoa") and isinstance(result["hoa"], dict) else None,
+            latitude=result["location"]["address"]["coordinate"].get("lat") if able_to_get_lat_long else None,
+            longitude=result["location"]["address"]["coordinate"].get("lon") if able_to_get_lat_long else None,
+            address=self._parse_address(result, search_type="general_search"),
+            description=self._parse_description(result),
+            neighborhoods=self._parse_neighborhoods(result),
+            county=result["location"]["county"].get("name") if result["location"]["county"] else None,
+            fips_code=result["location"]["county"].get("fips_code") if result["location"]["county"] else None,
+            days_on_mls=self.calculate_days_on_mls(result),
+            nearby_schools=prop_details.get("schools"),
+            assessed_value=prop_details.get("assessed_value"),
+            estimated_value=estimated_value if estimated_value else None,
+            advertisers=advertisers,
+        )
+        return realty_property
+
     def general_search(self, variables: dict, search_type: str) -> Dict[str, Union[int, list[Property]]]:
         """
         Handles a location area & returns a list of properties
         """
-        results_query = """{
-                            count
-                            total
-                            results {
-                                pending_date
-                                property_id
-                                list_date
-                                status
-                                last_sold_price
-                                last_sold_date
-                                list_price
-                                price_per_sqft
-                                flags {
-                                    is_contingent
-                                    is_pending
-                                }
-                                description {
-                                    type
-                                    sqft
-                                    beds
-                                    baths_full
-                                    baths_half
-                                    lot_sqft
-                                    sold_price
-                                    year_built
-                                    garage
-                                    sold_price
-                                    type
-                                    name
-                                    stories
-                                    text
-                                }
-                                source {
-                                    id
-                                    listing_id
-                                }
-                                hoa {
-                                    fee
-                                }
-                                location {
-                                    address {
-                                        street_direction
-                                        street_number
-                                        street_name
-                                        street_suffix
-                                        unit
-                                        city
-                                        state_code
-                                        postal_code
-                                        coordinate {
-                                            lon
-                                            lat
-                                        }
-                                    }
-                                    county {
-                                        name
-                                        fips_code
-                                    }
-                                    neighborhoods {
-                                        name
-                                    }
-                                }
-                                tax_record {
-                                    public_record_id
-                                }
-                                primary_photo {
-                                    href
-                                }
-                                photos {
-                                    href
-                                }
-                            }
-                        }
-                    }"""
 
         date_param = ""
         if self.listing_type == ListingType.SOLD:
@@ -426,13 +264,14 @@ class RealtorScraper(Scraper):
                             %s
                             limit: 200
                             offset: $offset
-                    ) %s""" % (
+                    ) %s
+                }""" % (
                 is_foreclosure,
                 listing_type.value.lower(),
                 date_param,
                 pending_or_contingent_param,
                 sort_param,
-                results_query,
+                GENERAL_RESULTS_QUERY,
             )
         elif search_type == "area":  #: general search, came from a general location
             query = """query Home_search(
@@ -456,28 +295,30 @@ class RealtorScraper(Scraper):
                                     %s
                                     limit: 200
                                     offset: $offset
-                                ) %s""" % (
+                                ) %s
+                            }""" % (
                 is_foreclosure,
                 listing_type.value.lower(),
                 date_param,
                 pending_or_contingent_param,
                 sort_param,
-                results_query,
+                GENERAL_RESULTS_QUERY,
             )
         else:  #: general search, came from an address
             query = (
-                """query Property_search(
+                    """query Property_search(
                         $property_id: [ID]!
                         $offset: Int!,
                     ) {
-                        property_search(
+                        home_search(
                             query: {
                                 property_id: $property_id
                             }
                             limit: 1
                             offset: $offset
-                        ) %s"""
-                % results_query
+                        ) %s 
+                    }"""
+                    % GENERAL_RESULTS_QUERY
             )
 
         payload = {
@@ -486,77 +327,32 @@ class RealtorScraper(Scraper):
         }
 
         response = self.session.post(self.SEARCH_GQL_URL, json=payload)
-        response.raise_for_status()
         response_json = response.json()
         search_key = "home_search" if "home_search" in query else "property_search"
 
         properties: list[Property] = []
 
         if (
-            response_json is None
-            or "data" not in response_json
-            or response_json["data"] is None
-            or search_key not in response_json["data"]
-            or response_json["data"][search_key] is None
-            or "results" not in response_json["data"][search_key]
+                response_json is None
+                or "data" not in response_json
+                or response_json["data"] is None
+                or search_key not in response_json["data"]
+                or response_json["data"][search_key] is None
+                or "results" not in response_json["data"][search_key]
         ):
             return {"total": 0, "properties": []}
 
-        def process_property(result: dict) -> Property | None:
-            mls = result["source"].get("id") if "source" in result and isinstance(result["source"], dict) else None
+        properties_list = response_json["data"][search_key]["results"]
+        total_properties = response_json["data"][search_key]["total"]
+        offset = variables.get("offset", 0)
 
-            if not mls and self.mls_only:
-                return
-
-            able_to_get_lat_long = (
-                result
-                and result.get("location")
-                and result["location"].get("address")
-                and result["location"]["address"].get("coordinate")
-            )
-
-            is_pending = result["flags"].get("is_pending") or result["flags"].get("is_contingent")
-
-            if is_pending and self.listing_type != ListingType.PENDING:
-                return
-
-            property_id = result["property_id"]
-            agents_schools = self.get_agents_schools(property_id)
-
-            realty_property = Property(
-                mls=mls,
-                mls_id=(
-                    result["source"].get("listing_id")
-                    if "source" in result and isinstance(result["source"], dict)
-                    else None
-                ),
-                property_url=(
-                    f"{self.PROPERTY_URL}{property_id}"
-                    if self.listing_type != ListingType.FOR_RENT
-                    else f"{self.PROPERTY_URL}M{property_id}?listing_status=rental"
-                ),
-                status="PENDING" if is_pending else result["status"].upper(),
-                list_price=result["list_price"],
-                list_date=result["list_date"].split("T")[0] if result.get("list_date") else None,
-                prc_sqft=result.get("price_per_sqft"),
-                last_sold_date=result.get("last_sold_date"),
-                hoa_fee=result["hoa"]["fee"] if result.get("hoa") and isinstance(result["hoa"], dict) else None,
-                latitude=result["location"]["address"]["coordinate"].get("lat") if able_to_get_lat_long else None,
-                longitude=result["location"]["address"]["coordinate"].get("lon") if able_to_get_lat_long else None,
-                address=self._parse_address(result, search_type="general_search"),
-                description=self._parse_description(result),
-                neighborhoods=self._parse_neighborhoods(result),
-                county=result["location"]["county"].get("name"),
-                fips_code=result["location"]["county"].get("fips_code"),
-                days_on_mls=self.calculate_days_on_mls(result),
-                agents=agents_schools["agents"],
-                nearby_schools=agents_schools["schools"],
-            )
-            return realty_property
+        #: limit the number of properties to be processed
+        #: example, if your offset is 200, and your limit is 250, return 50
+        properties_list = properties_list[:self.limit - offset]
 
         with ThreadPoolExecutor(max_workers=self.NUM_PROPERTY_WORKERS) as executor:
             futures = [
-                executor.submit(process_property, result) for result in response_json["data"][search_key]["results"]
+                executor.submit(self.process_property, result, search_key) for result in properties_list
             ]
 
             for future in as_completed(futures):
@@ -565,7 +361,7 @@ class RealtorScraper(Scraper):
                     properties.append(result)
 
         return {
-            "total": response_json["data"][search_key]["total"],
+            "total": total_properties,
             "properties": properties,
         }
 
@@ -588,17 +384,7 @@ class RealtorScraper(Scraper):
         if location_type == "address":
             if not self.radius:  #: single address search, non comps
                 property_id = location_info["mpr_id"]
-                search_variables |= {"property_id": property_id}
-
-                gql_results = self.general_search(search_variables, search_type=search_type)
-                if gql_results["total"] == 0:
-                    listing_id = self.get_latest_listing_id(property_id)
-                    if listing_id is None:
-                        return self.handle_address(property_id)
-                    else:
-                        return self.handle_listing(listing_id)
-                else:
-                    return gql_results["properties"]
+                return self.handle_home(property_id)
 
             else:  #: general search, comps (radius)
                 if not location_info.get("centroid"):
@@ -630,14 +416,14 @@ class RealtorScraper(Scraper):
         total = result["total"]
         homes = result["properties"]
 
-        with ThreadPoolExecutor(max_workers=10) as executor:
+        with ThreadPoolExecutor() as executor:
             futures = [
                 executor.submit(
                     self.general_search,
                     variables=search_variables | {"offset": i},
                     search_type=search_type,
                 )
-                for i in range(200, min(total, 10000), 200)
+                for i in range(self.DEFAULT_PAGE_SIZE, min(total, self.limit), self.DEFAULT_PAGE_SIZE)
             ]
 
             for future in as_completed(futures):
@@ -645,25 +431,49 @@ class RealtorScraper(Scraper):
 
         return homes
 
-    def get_agents_schools(self, property_id: str) -> dict:
-        payload = f'{{"query":"query GetHome($property_id: ID!) {{\\n  home(property_id: $property_id) {{\\n    __typename\\n\\n    consumerAdvertisers: consumer_advertisers {{\\n      __typename\\n      type\\n      advertiserId: advertiser_id\\n      name\\n      phone\\n      type\\n      href\\n      slogan\\n      photo {{\\n        __typename\\n        href\\n      }}\\n      showRealtorLogo: show_realtor_logo\\n      hours\\n    }}\\n\\n\\n  nearbySchools: nearby_schools(radius: 5.0, limit_per_level: 3) {{ __typename schools {{ district {{ __typename id name }} }} }}}}\\n}}\\n","variables":{{"property_id":"{property_id}"}}}}'
-        response = self.session.post(self.PROPERTY_GQL, data=payload)
+    @staticmethod
+    def get_key(data: dict, keys: list):
+        try:
+            value = data
+            for key in keys:
+                value = value[key]
 
-        def get_key(keys: list):
-            try:
-                data = response.json()
-                for key in keys:
-                    data = data[key]
-                return data
-            except (KeyError, TypeError):
-                return []
+            return value or {}
+        except (KeyError, TypeError, IndexError):
+            return {}
 
-        ads = get_key(["data", "home", "consumerAdvertisers"])
-        schools = get_key(["data", "home", "nearbySchools", "schools"])
+    def process_extra_property_details(self, result: dict) -> dict:
+        schools = self.get_key(result, ["nearbySchools", "schools"])
+        assessed_value = self.get_key(result, ["taxHistory", 0, "assessment", "total"])
 
-        agents = [Agent(name=ad["name"], phone=ad["phone"]) for ad in ads]
-        schools = [school["district"]["name"] for school in schools]
-        return {"agents": agents, "schools": schools}
+        schools = [school["district"]["name"] for school in schools if school["district"].get("name")]
+        return {
+            "schools": schools if schools else None,
+            "assessed_value": assessed_value if assessed_value else None,
+        }
+
+    def get_prop_details(self, property_id: str) -> dict:
+        if not self.extra_property_data:
+            return {}
+
+        query = """query GetHome($property_id: ID!) {
+                    home(property_id: $property_id) {
+                        __typename
+
+                        nearbySchools: nearby_schools(radius: 5.0, limit_per_level: 3) {
+                            __typename schools { district { __typename id name } }
+                        }
+                        taxHistory: tax_history { __typename tax year assessment { __typename building land total } }
+                    }
+                }"""
+
+        variables = {"property_id": property_id}
+        response = self.session.post(self.PROPERTY_GQL, json={"query": query, "variables": variables})
+
+        data = response.json()
+        property_details = data["data"]["home"]
+
+        return self.process_extra_property_details(property_details)
 
     @staticmethod
     def _parse_neighborhoods(result: dict) -> Optional[str]:
@@ -685,20 +495,24 @@ class RealtorScraper(Scraper):
 
         return address_part
 
-    def _parse_address(self, result: dict, search_type):
+    @staticmethod
+    def _parse_address(result: dict, search_type):
         if search_type == "general_search":
             address = result["location"]["address"]
         else:
             address = result["address"]
 
         return Address(
+            full_line=address.get("line"),
             street=" ".join(
-                [
-                    self.handle_none_safely(address.get("street_number")),
-                    self.handle_none_safely(address.get("street_direction")),
-                    self.handle_none_safely(address.get("street_name")),
-                    self.handle_none_safely(address.get("street_suffix")),
+                part
+                for part in [
+                    address.get("street_number"),
+                    address.get("street_direction"),
+                    address.get("street_name"),
+                    address.get("street_suffix"),
                 ]
+                if part is not None
             ).strip(),
             unit=address["unit"],
             city=address["city"],
@@ -707,7 +521,10 @@ class RealtorScraper(Scraper):
         )
 
     @staticmethod
-    def _parse_description(result: dict) -> Description:
+    def _parse_description(result: dict) -> Description | None:
+        if not result:
+            return None
+
         description_data = result.get("description", {})
 
         if description_data is None or not isinstance(description_data, dict):
@@ -718,22 +535,23 @@ class RealtorScraper(Scraper):
             style = style.upper()
 
         primary_photo = ""
-        if result and "primary_photo" in result:
-            primary_photo_info = result["primary_photo"]
-            if primary_photo_info and "href" in primary_photo_info:
-                primary_photo_href = primary_photo_info["href"]
-                primary_photo = primary_photo_href.replace("s.jpg", "od-w480_h360_x2.webp?w=1080&q=75")
+        if (primary_photo_info := result.get('primary_photo')) and (primary_photo_href := primary_photo_info.get("href")):
+            primary_photo = primary_photo_href.replace("s.jpg", "od-w480_h360_x2.webp?w=1080&q=75")
 
         return Description(
             primary_photo=primary_photo,
-            alt_photos=RealtorScraper.process_alt_photos(result.get("photos")),
-            style=PropertyType(style) if style else None,
+            alt_photos=RealtorScraper.process_alt_photos(result.get("photos", [])),
+            style=PropertyType.__getitem__(style) if style and style in PropertyType.__members__ else None,
             beds=description_data.get("beds"),
             baths_full=description_data.get("baths_full"),
             baths_half=description_data.get("baths_half"),
             sqft=description_data.get("sqft"),
             lot_sqft=description_data.get("lot_sqft"),
-            sold_price=description_data.get("sold_price"),
+            sold_price=(
+                result.get('last_sold_price') or description_data.get("sold_price")
+                if result.get("last_sold_date") or result["list_price"] != description_data.get("sold_price")
+                else None
+            ),  #: has a sold date or list and sold price are different
             year_built=description_data.get("year_built"),
             garage=description_data.get("garage"),
             stories=description_data.get("stories"),
@@ -760,14 +578,8 @@ class RealtorScraper(Scraper):
                     return days
 
     @staticmethod
-    def process_alt_photos(photos_info):
-        try:
-            alt_photos = []
-            if photos_info:
-                for photo_info in photos_info:
-                    href = photo_info.get("href", "")
-                    alt_photo_href = href.replace("s.jpg", "od-w480_h360_x2.webp?w=1080&q=75")
-                    alt_photos.append(alt_photo_href)
-            return alt_photos
-        except Exception:
-            pass
+    def process_alt_photos(photos_info: list[dict]) -> list[str] | None:
+        if not photos_info:
+            return None
+
+        return [photo_info["href"].replace("s.jpg", "od-w480_h360_x2.webp?w=1080&q=75") for photo_info in photos_info if photo_info.get("href")]

homeharvest/core/scrapers/realtor/queries.py

@@ -0,0 +1,162 @@
+_SEARCH_HOMES_DATA_BASE = """{
+    pending_date
+    listing_id
+    property_id
+    list_date
+    status
+    last_sold_price
+    last_sold_date
+    list_price
+    list_price_max
+    list_price_min
+    price_per_sqft
+    flags {
+        is_contingent
+        is_pending
+        is_new_construction
+    }
+    description {
+        type
+        sqft
+        beds
+        baths_full
+        baths_half
+        lot_sqft
+        year_built
+        garage
+        type
+        name
+        stories
+        text
+    }
+    source {
+        id
+        listing_id
+    }
+    hoa {
+        fee
+    }
+    location {
+        address {
+            street_direction
+            street_number
+            street_name
+            street_suffix
+            line
+            unit
+            city
+            state_code
+            postal_code
+            coordinate {
+                lon
+                lat
+            }
+        }
+        county {
+            name
+            fips_code
+        }
+        neighborhoods {
+            name
+        }
+    }
+    tax_record {
+        public_record_id
+    }
+    primary_photo {
+        href
+    }
+    photos {
+        href
+    }
+    advertisers {
+        email
+        broker {
+            name
+            fulfillment_id
+        }
+        type
+        name
+        fulfillment_id
+        builder {
+            name
+            fulfillment_id
+        }
+        phones {
+            ext
+            primary
+            type
+            number
+        }
+        office {
+            name
+            email
+            fulfillment_id
+            href
+            phones {
+                number
+                type
+                primary
+                ext
+            }
+            mls_set
+        }
+        corporation {
+            specialties
+            name
+            bio
+            href
+            fulfillment_id
+        }
+        mls_set
+        nrds_id
+        rental_corporation {
+            fulfillment_id
+        }
+        rental_management {
+            name
+            fulfillment_id
+        }
+    }
+    """
+
+HOMES_DATA = """%s
+                nearbySchools: nearby_schools(radius: 5.0, limit_per_level: 3) {
+                            __typename schools { district { __typename id name } }
+                        }
+                taxHistory: tax_history { __typename tax year assessment { __typename building land total } }
+                estimates {
+                    __typename
+                    currentValues: current_values {
+                        __typename
+                        source { __typename type name }
+                        estimate
+                        estimateHigh: estimate_high
+                        estimateLow: estimate_low
+                        date
+                        isBestHomeValue: isbest_homevalue
+                    }
+                }
+}""" % _SEARCH_HOMES_DATA_BASE
+
+SEARCH_HOMES_DATA = """%s
+                    current_estimates {
+                            __typename
+                            source {
+                                __typename
+                                type
+                                name
+                            }
+                            estimate
+                            estimateHigh: estimate_high
+                            estimateLow: estimate_low
+                            date
+                            isBestHomeValue: isbest_homevalue
+                        }
+}""" % _SEARCH_HOMES_DATA_BASE
+
+GENERAL_RESULTS_QUERY = """{
+                            count
+                            total
+                            results %s
+                        }""" % SEARCH_HOMES_DATA

homeharvest/exceptions.py

@@ -4,3 +4,11 @@ class InvalidListingType(Exception):
 
 class InvalidDate(Exception):
     """Raised when only one of date_from or date_to is provided or not in the correct format. ex: 2023-10-23"""
+
+
+class AuthenticationError(Exception):
+    """Raised when there is an issue with the authentication process."""
+    def __init__(self, *args, response):
+        super().__init__(*args)
+
+        self.response = response

homeharvest/utils.py

@@ -1,6 +1,7 @@
+from __future__ import annotations
 import pandas as pd
 from datetime import datetime
-from .core.scrapers.models import Property, ListingType
+from .core.scrapers.models import Property, ListingType, Advertisers
 from .exceptions import InvalidListingType, InvalidDate
 
 ordered_properties = [
@@ -10,6 +11,7 @@ ordered_properties = [
     "status",
     "text",
     "style",
+    "full_street_line",
     "street",
     "unit",
     "city",
@@ -22,9 +24,14 @@ ordered_properties = [
     "year_built",
     "days_on_mls",
     "list_price",
+    "list_price_min",
+    "list_price_max",
     "list_date",
     "sold_price",
     "last_sold_date",
+    "assessed_value",
+    "estimated_value",
+    "new_construction",
     "lot_sqft",
     "price_per_sqft",
     "latitude",
@@ -35,9 +42,20 @@ ordered_properties = [
     "stories",
     "hoa_fee",
     "parking_garage",
-    "agent",
-    "broker",
-    "broker_phone",
+    "agent_id",
+    "agent_name",
+    "agent_email",
+    "agent_phones",
+    "agent_mls_set",
+    "agent_nrds_id",
+    "broker_id",
+    "broker_name",
+    "builder_id",
+    "builder_name",
+    "office_id",
+    "office_name",
+    "office_email",
+    "office_phones",
     "nearby_schools",
     "primary_photo",
     "alt_photos",
@@ -50,39 +68,61 @@ def process_result(result: Property) -> pd.DataFrame:
 
     if "address" in prop_data:
         address_data = prop_data["address"]
+        prop_data["full_street_line"] = address_data.full_line
         prop_data["street"] = address_data.street
         prop_data["unit"] = address_data.unit
         prop_data["city"] = address_data.city
         prop_data["state"] = address_data.state
         prop_data["zip_code"] = address_data.zip
 
-    if "agents" in prop_data:
-        agents = prop_data["agents"]
-        if agents:
-            prop_data["agent"] = agents[0].name
-            if len(agents) > 1:
-                prop_data["broker"] = agents[1].name
-                prop_data["broker_phone"] = agents[1].phone
+    if "advertisers" in prop_data and prop_data.get("advertisers"):
+        advertiser_data: Advertisers | None = prop_data["advertisers"]
+        if advertiser_data.agent:
+            agent_data = advertiser_data.agent
+            prop_data["agent_id"] = agent_data.uuid
+            prop_data["agent_name"] = agent_data.name
+            prop_data["agent_email"] = agent_data.email
+            prop_data["agent_phones"] = agent_data.phones
+            prop_data["agent_mls_set"] = agent_data.mls_set
+            prop_data["agent_nrds_id"] = agent_data.nrds_id
+
+        if advertiser_data.broker:
+            broker_data = advertiser_data.broker
+            prop_data["broker_id"] = broker_data.uuid
+            prop_data["broker_name"] = broker_data.name
+
+        if advertiser_data.builder:
+            builder_data = advertiser_data.builder
+            prop_data["builder_id"] = builder_data.uuid
+            prop_data["builder_name"] = builder_data.name
+
+        if advertiser_data.office:
+            office_data = advertiser_data.office
+            prop_data["office_id"] = office_data.uuid
+            prop_data["office_name"] = office_data.name
+            prop_data["office_email"] = office_data.email
+            prop_data["office_phones"] = office_data.phones
 
     prop_data["price_per_sqft"] = prop_data["prc_sqft"]
     prop_data["nearby_schools"] = filter(None, prop_data["nearby_schools"]) if prop_data["nearby_schools"] else None
     prop_data["nearby_schools"] = ", ".join(set(prop_data["nearby_schools"])) if prop_data["nearby_schools"] else None
 
     description = result.description
-    prop_data["primary_photo"] = description.primary_photo
-    prop_data["alt_photos"] = ", ".join(description.alt_photos)
-    prop_data["style"] = description.style.value
-    prop_data["beds"] = description.beds
-    prop_data["full_baths"] = description.baths_full
-    prop_data["half_baths"] = description.baths_half
-    prop_data["sqft"] = description.sqft
-    prop_data["lot_sqft"] = description.lot_sqft
-    prop_data["sold_price"] = description.sold_price
-    prop_data["year_built"] = description.year_built
-    prop_data["parking_garage"] = description.garage
-    prop_data["stories"] = description.stories
-    prop_data["text"] = description.text
-
+    if description:
+        prop_data["primary_photo"] = description.primary_photo
+        prop_data["alt_photos"] = ", ".join(description.alt_photos) if description.alt_photos else None
+        prop_data["style"] = description.style if isinstance(description.style,
+                                                             str) else description.style.value if description.style else None
+        prop_data["beds"] = description.beds
+        prop_data["full_baths"] = description.baths_full
+        prop_data["half_baths"] = description.baths_half
+        prop_data["sqft"] = description.sqft
+        prop_data["lot_sqft"] = description.lot_sqft
+        prop_data["sold_price"] = description.sold_price
+        prop_data["year_built"] = description.year_built
+        prop_data["parking_garage"] = description.garage
+        prop_data["stories"] = description.stories
+        prop_data["text"] = description.text
 
     properties_df = pd.DataFrame([prop_data])
     properties_df = properties_df.reindex(columns=ordered_properties)
@@ -96,7 +136,7 @@ def validate_input(listing_type: str) -> None:
 
 
 def validate_dates(date_from: str | None, date_to: str | None) -> None:
-    if (date_from is not None and date_to is None) or (date_from is None and date_to is not None):
+    if isinstance(date_from, str) != isinstance(date_to, str):
         raise InvalidDate("Both date_from and date_to must be provided.")
 
     if date_from and date_to:
@@ -106,5 +146,12 @@ def validate_dates(date_from: str | None, date_to: str | None) -> None:
 
             if date_to_obj < date_from_obj:
                 raise InvalidDate("date_to must be after date_from.")
-        except ValueError as e:
+        except ValueError:
             raise InvalidDate(f"Invalid date format or range")
+
+
+def validate_limit(limit: int) -> None:
+    #: 1 -> 10000 limit
+
+    if limit is not None and (limit < 1 or limit > 10000):
+        raise ValueError("Property limit must be between 1 and 10,000.")

poetry.lock

@@ -1,5 +1,16 @@
 # This file is automatically @generated by Poetry 1.8.2 and should not be changed by hand.
 
+[[package]]
+name = "annotated-types"
+version = "0.7.0"
+description = "Reusable constraint types to use with typing.Annotated"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "annotated_types-0.7.0-py3-none-any.whl", hash = "sha256:1f02e8b43a8fbbc3f3e0d4f0f4bfc8131bcb4eebe8849b8e5c773f3a1c582a53"},
+    {file = "annotated_types-0.7.0.tar.gz", hash = "sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89"},
+]
+
 [[package]]
 name = "certifi"
 version = "2023.7.22"
@@ -391,6 +402,116 @@ nodeenv = ">=0.11.1"
 pyyaml = ">=5.1"
 virtualenv = ">=20.10.0"
 
+[[package]]
+name = "pydantic"
+version = "2.7.4"
+description = "Data validation using Python type hints"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "pydantic-2.7.4-py3-none-any.whl", hash = "sha256:ee8538d41ccb9c0a9ad3e0e5f07bf15ed8015b481ced539a1759d8cc89ae90d0"},
+    {file = "pydantic-2.7.4.tar.gz", hash = "sha256:0c84efd9548d545f63ac0060c1e4d39bb9b14db8b3c0652338aecc07b5adec52"},
+]
+
+[package.dependencies]
+annotated-types = ">=0.4.0"
+pydantic-core = "2.18.4"
+typing-extensions = ">=4.6.1"
+
+[package.extras]
+email = ["email-validator (>=2.0.0)"]
+
+[[package]]
+name = "pydantic-core"
+version = "2.18.4"
+description = "Core functionality for Pydantic validation and serialization"
+optional = false
+python-versions = ">=3.8"
+files = [
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+    {file = "pydantic_core-2.18.4-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:2fd41f6eff4c20778d717af1cc50eca52f5afe7805ee530a4fbd0bae284f16e9"},
+    {file = "pydantic_core-2.18.4.tar.gz", hash = "sha256:ec3beeada09ff865c344ff3bc2f427f5e6c26401cc6113d77e372c3fdac73864"},
+]
+
+[package.dependencies]
+typing-extensions = ">=4.6.0,<4.7.0 || >4.7.0"
+
 [[package]]
 name = "pytest"
 version = "7.4.2"
@@ -557,6 +678,17 @@ files = [
     {file = "tomli-2.0.1.tar.gz", hash = "sha256:de526c12914f0c550d15924c62d72abc48d6fe7364aa87328337a31007fe8a4f"},
 ]
 
+[[package]]
+name = "typing-extensions"
+version = "4.12.2"
+description = "Backported and Experimental Type Hints for Python 3.8+"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "typing_extensions-4.12.2-py3-none-any.whl", hash = "sha256:04e5ca0351e0f3f85c6853954072df659d0d13fac324d0072316b67d7794700d"},
+    {file = "typing_extensions-4.12.2.tar.gz", hash = "sha256:1a7ead55c7e559dd4dee8856e3a88b41225abfe1ce8df57b7c13915fe121ffb8"},
+]
+
 [[package]]
 name = "tzdata"
 version = "2023.3"
@@ -607,5 +739,5 @@ test = ["covdefaults (>=2.3)", "coverage (>=7.2.7)", "coverage-enable-subprocess
 
 [metadata]
 lock-version = "2.0"
-python-versions = ">=3.10,<3.13"
-content-hash = "371781da268d5f61d6e798c023777f337b620e9b07a48c316825d7b998b63f02"
+python-versions = ">=3.9,<3.13"
+content-hash = "21ef9cfb35c446a375a2b74c37691d7031afb1e4f66a8b63cb7c1669470689d2"

pyproject.toml

@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "homeharvest"
-version = "0.3.19"
+version = "0.4.1"
 description = "Real estate scraping library"
 authors = ["Zachary Hampton <zachary@bunsly.com>", "Cullen Watson <cullen@bunsly.com>"]
 homepage = "https://github.com/Bunsly/HomeHarvest"
@@ -10,9 +10,10 @@ readme = "README.md"
 homeharvest = "homeharvest.cli:main"
 
 [tool.poetry.dependencies]
-python = ">=3.10,<3.13"
+python = ">=3.9,<3.13"
 requests = "^2.31.0"
 pandas = "^2.1.1"
+pydantic = "^2.7.4"
 
 
 [tool.poetry.group.dev.dependencies]

tests/test_realtor.py

@@ -4,7 +4,7 @@ from homeharvest import scrape_property
 def test_realtor_pending_or_contingent():
     pending_or_contingent_result = scrape_property(location="Surprise, AZ", listing_type="pending")
 
-    regular_result = scrape_property(location="Surprise, AZ", listing_type="for_sale")
+    regular_result = scrape_property(location="Surprise, AZ", listing_type="for_sale", exclude_pending=True)
 
     assert all([result is not None for result in [pending_or_contingent_result, regular_result]])
     assert len(pending_or_contingent_result) != len(regular_result)
@@ -105,8 +105,8 @@ def test_realtor():
             location="2530 Al Lipscomb Way",
             listing_type="for_sale",
         ),
-        scrape_property(location="Phoenix, AZ", listing_type="for_rent"),  #: does not support "city, state, USA" format
-        scrape_property(location="Dallas, TX", listing_type="sold"),  #: does not support "city, state, USA" format
+        scrape_property(location="Phoenix, AZ", listing_type="for_rent", limit=1000),  #: does not support "city, state, USA" format
+        scrape_property(location="Dallas, TX", listing_type="sold", limit=1000),  #: does not support "city, state, USA" format
         scrape_property(location="85281"),
     ]
 
@@ -117,6 +117,7 @@ def test_realtor_city():
     results = scrape_property(
         location="Atlanta, GA",
         listing_type="for_sale",
+        limit=1000
     )
 
     assert results is not None and len(results) > 0
@@ -140,5 +141,115 @@ def test_realtor_foreclosed():
 
 
 def test_realtor_agent():
-    scraped = scrape_property(location="Detroit, MI", listing_type="for_sale")
-    assert scraped["agent"].nunique() > 1
+    scraped = scrape_property(location="Detroit, MI", listing_type="for_sale", limit=1000, extra_property_data=False)
+    assert scraped["agent_name"].nunique() > 1
+
+
+def test_realtor_without_extra_details():
+    results = [
+        scrape_property(
+            location="00741",
+            listing_type="sold",
+            limit=10,
+            extra_property_data=False,
+        ),
+        scrape_property(
+            location="00741",
+            listing_type="sold",
+            limit=10,
+            extra_property_data=True,
+        ),
+    ]
+
+    assert not results[0].equals(results[1])
+
+
+def test_pr_zip_code():
+    results = scrape_property(
+        location="00741",
+        listing_type="for_sale",
+    )
+
+    assert results is not None and len(results) > 0
+
+
+def test_exclude_pending():
+    results = scrape_property(
+        location="33567",
+        listing_type="pending",
+        exclude_pending=True,
+    )
+
+    assert results is not None and len(results) > 0
+
+
+def test_style_value_error():
+    results = scrape_property(
+        location="Alaska, AK",
+        listing_type="sold",
+        extra_property_data=False,
+        limit=1000,
+    )
+
+    assert results is not None and len(results) > 0
+
+
+def test_primary_image_error():
+    results = scrape_property(
+        location="Spokane, PA",
+        listing_type="for_rent",  # or (for_sale, for_rent, pending)
+        past_days=360,
+        radius=3,
+        extra_property_data=False,
+    )
+
+    assert results is not None and len(results) > 0
+
+
+def test_limit():
+    over_limit = 876
+    extra_params = {"limit": over_limit}
+
+    over_results = scrape_property(
+        location="Waddell, AZ",
+        listing_type="for_sale",
+        **extra_params,
+    )
+
+    assert over_results is not None and len(over_results) <= over_limit
+
+    under_limit = 1
+    under_results = scrape_property(
+        location="Waddell, AZ",
+        listing_type="for_sale",
+        limit=under_limit,
+    )
+
+    assert under_results is not None and len(under_results) == under_limit
+
+
+def test_apartment_list_price():
+    results = scrape_property(
+        location="Spokane, WA",
+        listing_type="for_rent",  # or (for_sale, for_rent, pending)
+        extra_property_data=False,
+    )
+
+    assert results is not None
+
+    results = results[results["style"] == "APARTMENT"]
+
+    #: get percentage of results with atleast 1 of any column not none, list_price, list_price_min, list_price_max
+    assert len(results[results[["list_price", "list_price_min", "list_price_max"]].notnull().any(axis=1)]) / len(
+        results
+    ) > 0.5
+
+
+def test_builder_exists():
+    listing = scrape_property(
+        location="18149 W Poston Dr, Surprise, AZ 85387",
+        extra_property_data=False,
+    )
+
+    assert listing is not None
+    assert listing["builder_name"].nunique() > 0