- fix limit parameter

- fix specific for_rent apartment listing prices

README.md

@@ -90,9 +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 (bool): Increases requests by O(n). If set, this fetches additional property data (e.g. agent, broker, property evaluations etc.)
+├── extra_property_data (True/False): Increases requests by O(n). If set, this fetches additional property data (e.g. agent, broker, property evaluations 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
@@ -124,6 +128,8 @@ Property
 ├── Property Listing Details:
 │ ├── days_on_mls
 │ ├── list_price
+│ ├── list_price_min
+│ ├── list_price_max
 │ ├── list_date
 │ ├── pending_date
 │ ├── sold_price
@@ -142,6 +148,11 @@ Property
 │ ├── agent
 │ ├── agent_email
 │ └── agent_phone
+
+├── Broker Info:
+│ ├── broker
+│ ├── broker_email
+│ └── broker_website
 ```
 
 ### Exceptions

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
 
@@ -17,11 +17,13 @@ def scrape_property(
     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
@@ -29,9 +31,12 @@ def scrape_property(
     :param date_from, date_to: Get properties sold or listed (dependent on your listing_type) between these dates. format: 2021-01-28
     :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,
@@ -44,17 +49,17 @@ def scrape_property(
         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()
 
-    properties_dfs = [df for df in properties_dfs if not df.empty]
-
     with warnings.catch_warnings():
         warnings.simplefilter("ignore", category=FutureWarning)
 

homeharvest/core/scrapers/__init__.py

@@ -6,6 +6,7 @@ from urllib3.util.retry import Retry
 import uuid
 from ...exceptions import AuthenticationError
 from .models import Property, ListingType, SiteName
+import json
 
 
 @dataclass
@@ -20,6 +21,8 @@ class ScraperInput:
     date_to: str | None = None
     foreclosure: bool | None = False
     extra_property_data: bool | None = True
+    exclude_pending: bool | None = False
+    limit: int = 10000
 
 
 class Scraper:
@@ -61,6 +64,8 @@ class Scraper:
         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]: ...
 
@@ -71,18 +76,25 @@ class Scraper:
 
     @staticmethod
     def get_access_token():
-        url = "https://graph.realtor.com/auth/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"}}'
+        response = requests.post(
-        headers = {
+            "https://graph.realtor.com/auth/token",
-            "Host": "graph.realtor.com",
+            headers={
-            "x-client-version": "24.20.4.149916",
+                'Host': 'graph.realtor.com',
-            "accept": "*/*",
+                'Accept': '*/*',
-            "content-type": "Application/json",
+                'Content-Type': 'Application/json',
-            "user-agent": "Realtor.com/24.20.4.149916 CFNetwork/1410.0.3 Darwin/22.6.0",
+                'X-Client-ID': 'rdc_mobile_native,iphone',
-            "accept-language": "en-US,en;q=0.9",
+                'X-Visitor-ID': device_id,
-        }
+                'X-Client-Version': '24.21.23.679885',
-        response = requests.post(url, headers=headers, data=payload)
+                '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()
 

homeharvest/core/scrapers/models.py

@@ -34,6 +34,8 @@ 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"
@@ -111,6 +113,9 @@ 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

homeharvest/core/scrapers/realtor/__init__.py

@@ -4,6 +4,7 @@ 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
@@ -19,6 +20,7 @@ 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)
@@ -75,7 +77,6 @@ class RealtorScraper(Scraper):
                             baths_half
                             lot_sqft
                             sold_price
-                            sold_price
                             type
                             price
                             status
@@ -114,10 +115,10 @@ class RealtorScraper(Scraper):
         )
 
         able_to_get_lat_long = (
-            property_info
+                property_info
-            and property_info.get("address")
+                and property_info.get("address")
-            and property_info["address"].get("location")
+                and property_info["address"].get("location")
-            and property_info["address"]["location"].get("coordinate")
+                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
@@ -144,6 +145,7 @@ class RealtorScraper(Scraper):
 
         property_id = property_info["details"]["permalink"]
         prop_details = self.get_prop_details(property_id)
+        style = property_info["basic"].get("type", "").upper()
         listing = Property(
             mls=mls,
             mls_id=(
@@ -166,8 +168,12 @@ class RealtorScraper(Scraper):
             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", [])),
+                alt_photos=(
-                style=property_info["basic"].get("type", "").upper(),
+                    self.process_alt_photos(property_info["media"].get("photos", []))
+                    if property_info.get("media")
+                    else None
+                ),
+                style=PropertyType.__getitem__(style) if style and style in PropertyType.__members__ else None,
                 beds=property_info["basic"].get("beds"),
                 baths_full=property_info["basic"].get("baths_full"),
                 baths_half=property_info["basic"].get("baths_half"),
@@ -320,6 +326,8 @@ class RealtorScraper(Scraper):
                                 last_sold_price
                                 last_sold_date
                                 list_price
+                                list_price_max
+                                list_price_min
                                 price_per_sqft
                                 flags {
                                     is_contingent
@@ -475,7 +483,7 @@ class RealtorScraper(Scraper):
             )
         else:  #: general search, came from an address
             query = (
-                """query Property_search(
+                    """query Property_search(
                         $property_id: [ID]!
                         $offset: Int!,
                     ) {
@@ -486,7 +494,7 @@ class RealtorScraper(Scraper):
                             limit: 1
                             offset: $offset
                         ) %s"""
-                % results_query
+                    % results_query
             )
 
         payload = {
@@ -501,12 +509,12 @@ class RealtorScraper(Scraper):
         properties: list[Property] = []
 
         if (
-            response_json is None
+                response_json is None
-            or "data" not in response_json
+                or "data" not in response_json
-            or response_json["data"] is None
+                or response_json["data"] is None
-            or search_key not in response_json["data"]
+                or search_key not in response_json["data"]
-            or response_json["data"][search_key] is None
+                or response_json["data"][search_key] is None
-            or "results" not in response_json["data"][search_key]
+                or "results" not in response_json["data"][search_key]
         ):
             return {"total": 0, "properties": []}
 
@@ -517,19 +525,19 @@ class RealtorScraper(Scraper):
                 return
 
             able_to_get_lat_long = (
-                result
+                    result
-                and result.get("location")
+                    and result.get("location")
-                and result["location"].get("address")
+                    and result["location"].get("address")
-                and result["location"]["address"].get("coordinate")
+                    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:
+            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)
+            prop_details = self.get_prop_details(property_id) if self.extra_property_data else {}
 
             realty_property = Property(
                 mls=mls,
@@ -545,6 +553,8 @@ class RealtorScraper(Scraper):
                 ),
                 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"),
@@ -565,9 +575,17 @@ class RealtorScraper(Scraper):
             )
             return realty_property
 
+        properties_list = response_json["data"][search_key]["results"]
+        total_properties = response_json["data"][search_key]["total"]
+        offset = variables.get("offset", 0)
+
+        #: 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(process_property, result) for result in properties_list
             ]
 
             for future in as_completed(futures):
@@ -576,7 +594,7 @@ class RealtorScraper(Scraper):
                     properties.append(result)
 
         return {
-            "total": response_json["data"][search_key]["total"],
+            "total": total_properties,
             "properties": properties,
         }
 
@@ -641,14 +659,14 @@ 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):
@@ -665,7 +683,7 @@ class RealtorScraper(Scraper):
         query = """query GetHome($property_id: ID!) {
                     home(property_id: $property_id) {
                         __typename
-                
+
                         advertisers {
                             __typename
                             type
@@ -673,29 +691,29 @@ class RealtorScraper(Scraper):
                             email
                             phones { number type ext primary }
                         }
-                        
+
                         consumer_advertisers {
                             name
                             phone
                             href
                             type
                         }
-                
+
-                        nearbySchools: nearby_schools(radius: 5.0, limit_per_level: 3) { 
+                        nearbySchools: nearby_schools(radius: 5.0, limit_per_level: 3) {
-                            __typename schools { district { __typename id name } } 
+                            __typename schools { district { __typename id name } }
-                        }  
+                        }
                         taxHistory: tax_history { __typename tax year assessment { __typename building land total } }
-                        estimates { 
+                        estimates {
-                            __typename 
+                            __typename
-                            currentValues: current_values { 
+                            currentValues: current_values {
                                 __typename
-                                source { __typename type name } 
+                                source { __typename type name }
-                                estimate 
+                                estimate
                                 estimateHigh: estimate_high
-                                estimateLow: estimate_low 
+                                estimateLow: estimate_low
-                                date 
+                                date
-                                isBestHomeValue: isbest_homevalue 
+                                isBestHomeValue: isbest_homevalue
-                            } 
+                            }
                         }
                     }
                 }"""
@@ -721,19 +739,15 @@ class RealtorScraper(Scraper):
         assessed_value = get_key(["data", "home", "taxHistory", 0, "assessment", "total"])
         estimated_value = get_key(["data", "home", "estimates", "currentValues", 0, "estimate"])
 
-        agents = [Agent(
+        agents = [Agent(name=ad["name"], email=ad["email"], phones=ad["phones"]) for ad in agents]
-            name=ad["name"],
-            email=ad["email"],
-            phones=ad["phones"]
-        ) for ad in agents]
 
-        brokers = [Broker(
+        brokers = [
-            name=ad["name"],
+            Broker(name=ad["name"], phone=ad["phone"], website=ad["href"])
-            phone=ad["phone"],
+            for ad in advertisers
-            website=ad["href"]
+            if ad.get("type") != "Agent"
-        ) for ad in advertisers if ad.get("type") != "Agent"]
+        ]
 
-        schools = [school["district"]["name"] for school in schools if school['district'].get('name')]
+        schools = [school["district"]["name"] for school in schools if school["district"].get("name")]
         return {
             "agents": agents if agents else None,
             "brokers": brokers if brokers else None,
@@ -772,12 +786,14 @@ class RealtorScraper(Scraper):
         return Address(
             full_line=address.get("line"),
             street=" ".join(
-                part for part in [
+                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
+                ]
+                if part is not None
             ).strip(),
             unit=address["unit"],
             city=address["city"],
@@ -786,7 +802,10 @@ 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):
@@ -797,22 +816,23 @@ class RealtorScraper(Scraper):
             style = style.upper()
 
         primary_photo = ""
-        if result and "primary_photo" in result:
+        if (primary_photo_info := result.get('primary_photo')) and (primary_photo_href := primary_photo_info.get("href")):
-            primary_photo_info = result["primary_photo"]
+            primary_photo = primary_photo_href.replace("s.jpg", "od-w480_h360_x2.webp?w=1080&q=75")
-            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")
 
         return Description(
             primary_photo=primary_photo,
-            alt_photos=RealtorScraper.process_alt_photos(result.get("photos")),
+            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") 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
+            sold_price=(
+                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"),

homeharvest/utils.py

@@ -24,6 +24,8 @@ ordered_properties = [
     "year_built",
     "days_on_mls",
     "list_price",
+    "list_price_min",
+    "list_price_max",
     "list_date",
     "sold_price",
     "last_sold_date",
@@ -83,19 +85,21 @@ def process_result(result: Property) -> pd.DataFrame:
     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
+    if description:
-    prop_data["alt_photos"] = ", ".join(description.alt_photos)
+        prop_data["primary_photo"] = description.primary_photo
-    prop_data["style"] = description.style if type(description.style) == str else description.style.value
+        prop_data["alt_photos"] = ", ".join(description.alt_photos) if description.alt_photos else None
-    prop_data["beds"] = description.beds
+        prop_data["style"] = description.style if isinstance(description.style,
-    prop_data["full_baths"] = description.baths_full
+                                                             str) else description.style.value if description.style else None
-    prop_data["half_baths"] = description.baths_half
+        prop_data["beds"] = description.beds
-    prop_data["sqft"] = description.sqft
+        prop_data["full_baths"] = description.baths_full
-    prop_data["lot_sqft"] = description.lot_sqft
+        prop_data["half_baths"] = description.baths_half
-    prop_data["sold_price"] = description.sold_price
+        prop_data["sqft"] = description.sqft
-    prop_data["year_built"] = description.year_built
+        prop_data["lot_sqft"] = description.lot_sqft
-    prop_data["parking_garage"] = description.garage
+        prop_data["sold_price"] = description.sold_price
-    prop_data["stories"] = description.stories
+        prop_data["year_built"] = description.year_built
-    prop_data["text"] = description.text
+        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)
@@ -109,7 +113,7 @@ 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:
@@ -121,3 +125,10 @@ def validate_dates(date_from: str | None, date_to: str | None) -> None:
                 raise InvalidDate("date_to must be after date_from.")
         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]
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+    {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"
+python-versions = ">=3.9,<3.13"
-content-hash = "371781da268d5f61d6e798c023777f337b620e9b07a48c316825d7b998b63f02"
+content-hash = "21ef9cfb35c446a375a2b74c37691d7031afb1e4f66a8b63cb7c1669470689d2"

pyproject.toml

@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "homeharvest"
-version = "0.3.25"
+version = "0.3.34"
 description = "Real estate scraping library"
 authors = ["Zachary Hampton <zachary@bunsly.com>", "Cullen Watson <cullen@bunsly.com>"]
 homepage = "https://github.com/Bunsly/HomeHarvest"
@@ -13,6 +13,7 @@ homeharvest = "homeharvest.cli:main"
 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="Phoenix, AZ", listing_type="for_rent", limit=1000),  #: 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="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
@@ -140,7 +141,7 @@ def test_realtor_foreclosed():
 
 
 def test_realtor_agent():
-    scraped = scrape_property(location="Detroit, MI", listing_type="for_sale")
+    scraped = scrape_property(location="Detroit, MI", listing_type="for_sale", limit=1000)
     assert scraped["agent"].nunique() > 1
 
 
@@ -165,3 +166,75 @@ def test_pr_zip_code():
     )
 
     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