Update pyproject.toml

[enh] days_on_mls attr

README.md

@@ -4,12 +4,11 @@
 
 [![Try with Replit](https://replit.com/badge?caption=Try%20with%20Replit)](https://replit.com/@ZacharyHampton/HomeHarvestDemo)
 
-\
 **Not technical?** Try out the web scraping tool on our site at [tryhomeharvest.com](https://tryhomeharvest.com).
 
-*Looking to build a data-focused software product?* **[Book a call](https://calendly.com/zachary-products/15min)** *to work with us.*
+*Looking to build a data-focused software product?* **[Book a call](https://calendly.com/bunsly/15min)** *to work with us.*
 
-Check out another project we wrote: ***[JobSpy](https://github.com/cullenwatson/JobSpy)** – a Python package for job scraping*
+Check out another project we wrote: ***[JobSpy](https://github.com/Bunsly/JobSpy)** – a Python package for job scraping*
 
 ## HomeHarvest Features
 
@@ -21,7 +20,7 @@ Check out another project we wrote: ***[JobSpy](https://github.com/cullenwatson/
   - **CLI**: For users who prefer command-line operations.
 
 
-[Video Guide for HomeHarvest](https://youtu.be/JnV7eR2Ve2o) - _updated for release v0.2.7_
+[Video Guide for HomeHarvest](https://youtu.be/J1qgNPgmSLI) - _updated for release v0.3.4_
 
 ![homeharvest](https://github.com/ZacharyHampton/HomeHarvest/assets/78247585/b3d5d727-e67b-4a9f-85d8-1e65fd18620a)
 
@@ -46,9 +45,8 @@ filename = f"HomeHarvest_{current_timestamp}.csv"
 
 properties = scrape_property(
   location="San Diego, CA",
-  listing_type="sold",  # or (for_sale, for_rent)
+  listing_type="sold",  # or (for_sale, for_rent, pending)
-  property_younger_than=30,  # sold in last 30 days - listed in last x days if (for_sale, for_rent)
+  past_days=30,  # sold in last 30 days - listed in last x days if (for_sale, for_rent)
-  # pending_or_contingent=True # use on for_sale listings to find pending / contingent listings
   # mls_only=True,  # only fetch MLS listings
   # proxy="http://user:pass@host:port"  # use a proxy to change your IP address
 )
@@ -70,7 +68,7 @@ positional arguments:
   location              Location to scrape (e.g., San Francisco, CA)                                                          
                                                                                                                              
 options:                                                                                                                      
-  -l {for_sale,for_rent,sold}, --listing_type {for_sale,for_rent,sold}                                                        
+  -l {for_sale,for_rent,sold,pending}, --listing_type {for_sale,for_rent,sold,pending}                                                        
                         Listing type to scrape                                                                                
   -o {excel,csv}, --output {excel,csv}                                                                                        
                         Output format                                                                                         
@@ -82,12 +80,9 @@ options:
   -r RADIUS, --radius RADIUS                                                                                                  
                         Get comparable properties within _ (e.g., 0.0) miles. Only applicable for individual addresses.        
   -m, --mls_only        If set, fetches only MLS listings.                                                                    
-  -c, --pending_or_contingent
-                        If set, fetches only pending or contingent listings. Only applicable for for_sale listings from general area searches.
-
 ```
 ```bash
-> homeharvest "San Francisco, CA" -l for_rent -o excel -f HomeHarvest
+homeharvest "San Francisco, CA" -l for_rent -o excel -f HomeHarvest
 ```
 
 
@@ -111,15 +106,14 @@ Required
     - 'for_rent'
     - 'for_sale'
     - 'sold'
+    - 'pending'
 
 Optional
 ├── radius (decimal): Radius in miles to find comparable properties based on individual addresses.
 │    Example: 5.5 (fetches properties within a 5.5-mile radius if location is set to a specific address; otherwise, ignored)
 │
-├── property_younger_than (integer): Number of past days to filter properties. Utilizes 'last_sold_date' for 'sold' listing types, and 'list_date' for others (for_rent, for_sale).
+├── past_days (integer): Number of past days to filter properties. Utilizes 'last_sold_date' for 'sold' listing types, and 'list_date' for others (for_rent, for_sale).
 │    Example: 30 (fetches properties listed/sold in the last 30 days)
-|
-├── pending_or_contingent (True/False): If set, fetches only pending or contingent listings. Only applicable for `for_sale listings` from general area searches.
 │
 ├── mls_only (True/False): If set, fetches only MLS listings (mainly applicable to 'sold' listings)
 │
@@ -153,6 +147,7 @@ Property
 │ └── lot_sqft
 
 ├── Property Listing Details:
+│ ├── days_on_mls
 │ ├── list_price
 │ ├── list_date
 │ ├── sold_price

examples/HomeHarvest_Demo.ipynb

@@ -4,7 +4,9 @@
    "cell_type": "code",
    "execution_count": null,
    "id": "cb48903e-5021-49fe-9688-45cd0bc05d0f",
-   "metadata": {},
+   "metadata": {
+    "is_executing": true
+   },
    "outputs": [],
    "source": [
     "from homeharvest import scrape_property\n",
@@ -84,10 +86,34 @@
    "outputs": [],
    "source": [
     "# check sold properties\n",
-    "scrape_property(\n",
+    "properties = scrape_property(\n",
     "    location=\"90210\",\n",
-    "    listing_type=\"sold\"\n",
+    "    listing_type=\"sold\",\n",
-    ")"
+    "    past_days=10\n",
+    ")\n",
+    "display(properties)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "628c1ce2",
+   "metadata": {
+    "collapsed": false,
+    "is_executing": true,
+    "jupyter": {
+     "outputs_hidden": false
+    }
+   },
+   "outputs": [],
+   "source": [
+    "# display clickable URLs\n",
+    "from IPython.display import display, HTML\n",
+    "properties['property_url'] = '<a href=\"' + properties['property_url'] + '\" target=\"_blank\">' + properties['property_url'] + '</a>'\n",
+    "\n",
+    "html = properties.to_html(escape=False)\n",
+    "truncate_width = f'<style>.dataframe td {{ max-width: 200px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap; }}</style>{html}'\n",
+    "display(HTML(truncate_width))"
    ]
   }
  ],

examples/HomeHarvest_Demo.py

@@ -8,7 +8,7 @@ filename = f"HomeHarvest_{current_timestamp}.csv"
 properties = scrape_property(
     location="San Diego, CA",
     listing_type="sold",  # or (for_sale, for_rent)
-    property_younger_than=30,  # sold in last 30 days - listed in last x days if (for_sale, for_rent)
+    past_days=30,  # sold in last 30 days - listed in last x days if (for_sale, for_rent)
     # pending_or_contingent=True # use on for_sale listings to find pending / contingent listings
     # mls_only=True,  # only fetch MLS listings
     # proxy="http://user:pass@host:port"  # use a proxy to change your IP address

homeharvest/__init__.py

@@ -12,8 +12,7 @@ def scrape_property(
     listing_type: str = "for_sale",
     radius: float = None,
     mls_only: bool = False,
-    property_younger_than: int = None,
+    past_days: int = None,
-    pending_or_contingent: bool = False,
     proxy: str = None,
 ) -> pd.DataFrame:
     """
@@ -22,8 +21,7 @@ def scrape_property(
     :param listing_type: Listing Type (for_sale, for_rent, sold)
     :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 property_younger_than: Get properties sold/listed in last _ days.
+    :param past_days: Get properties sold or listed (dependent on your listing_type) in the last _ days.
-    :param pending_or_contingent: If set, fetches only pending or contingent listings. Only applicable for for_sale listings from general area searches.
     :param proxy: Proxy to use for scraping
     """
     validate_input(listing_type)
@@ -34,8 +32,7 @@ def scrape_property(
         proxy=proxy,
         radius=radius,
         mls_only=mls_only,
-        last_x_days=property_younger_than,
+        last_x_days=past_days,
-        pending_or_contingent=pending_or_contingent,
     )
 
     site = RealtorScraper(scraper_input)

homeharvest/cli.py

@@ -14,7 +14,7 @@ def main():
         "--listing_type",
         type=str,
         default="for_sale",
-        choices=["for_sale", "for_rent", "sold"],
+        choices=["for_sale", "for_rent", "sold", "pending"],
         help="Listing type to scrape",
     )
 
@@ -60,13 +60,6 @@ def main():
         help="If set, fetches only MLS listings.",
     )
 
-    parser.add_argument(
-        "-c",
-        "--pending_or_contingent",
-        action="store_true",
-        help="If set, fetches only pending or contingent listings. Only applicable for for_sale listings from general area searches.",
-    )
-
     args = parser.parse_args()
 
     result = scrape_property(
@@ -75,8 +68,7 @@ def main():
         radius=args.radius,
         proxy=args.proxy,
         mls_only=args.mls_only,
-        property_younger_than=args.days,
+        past_days=args.days,
-        pending_or_contingent=args.pending_or_contingent,
     )
 
     if not args.filename:

homeharvest/core/scrapers/__init__.py

@@ -1,6 +1,5 @@
 from dataclasses import dataclass
 import requests
-import tls_client
 from .models import Property, ListingType, SiteName
 
 
@@ -12,14 +11,13 @@ class ScraperInput:
     mls_only: bool | None = None
     proxy: str | None = None
     last_x_days: int | None = None
-    pending_or_contingent: bool | None = None
 
 
 class Scraper:
     def __init__(
         self,
         scraper_input: ScraperInput,
-        session: requests.Session | tls_client.Session = None,
+        session: requests.Session = None,
     ):
         self.location = scraper_input.location
         self.listing_type = scraper_input.listing_type
@@ -38,7 +36,6 @@ class Scraper:
         self.radius = scraper_input.radius
         self.last_x_days = scraper_input.last_x_days
         self.mls_only = scraper_input.mls_only
-        self.pending_or_contingent = scraper_input.pending_or_contingent
 
     def search(self) -> list[Property]:
         ...

homeharvest/core/scrapers/models.py

@@ -19,6 +19,7 @@ class SiteName(Enum):
 class ListingType(Enum):
     FOR_SALE = "FOR_SALE"
     FOR_RENT = "FOR_RENT"
+    PENDING = "PENDING"
     SOLD = "SOLD"
 
 
@@ -58,6 +59,7 @@ class Property:
     last_sold_date: str | None = None
     prc_sqft: int | None = None
     hoa_fee: int | None = None
+    days_on_mls: int | None = None
     description: Description | None = None
 
     latitude: float | None = None

homeharvest/core/scrapers/realtor/__init__.py

@@ -4,6 +4,7 @@ homeharvest.realtor.__init__
 
 This module implements the scraper for realtor.com
 """
+from datetime import datetime
 from typing import Dict, Union, Optional
 from concurrent.futures import ThreadPoolExecutor, as_completed
 
@@ -18,7 +19,6 @@ class RealtorScraper(Scraper):
     ADDRESS_AUTOCOMPLETE_URL = "https://parser-external.geo.moveaws.com/suggest"
 
     def __init__(self, scraper_input):
-        self.counter = 1
         super().__init__(scraper_input)
 
     def handle_location(self):
@@ -105,11 +105,29 @@ 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
+        last_sold_date_str = property_info["basic"]["sold_date"].split("T")[0] if property_info["basic"].get(
+            "sold_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
+        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
 
         listing = Property(
             mls=mls,
@@ -119,17 +137,13 @@ class RealtorScraper(Scraper):
             property_url=f"{self.PROPERTY_URL}{property_info['details']['permalink']}",
             status=property_info["basic"]["status"].upper(),
             list_price=property_info["basic"]["price"],
-            list_date=property_info["basic"]["list_date"].split("T")[0]
+            list_date=list_date,
-            if property_info["basic"].get("list_date")
-            else None,
             prc_sqft=property_info["basic"].get("price")
-            / property_info["basic"].get("sqft")
+                     / property_info["basic"].get("sqft")
             if property_info["basic"].get("price")
-            and property_info["basic"].get("sqft")
+               and property_info["basic"].get("sqft")
-            else None,
-            last_sold_date=property_info["basic"]["sold_date"].split("T")[0]
-            if property_info["basic"].get("sold_date")
             else None,
+            last_sold_date=last_sold_date,
             latitude=property_info["address"]["location"]["coordinate"].get("lat")
             if able_to_get_lat_long
             else None,
@@ -149,6 +163,7 @@ class RealtorScraper(Scraper):
                 garage=property_info["details"].get("garage"),
                 stories=property_info["details"].get("stories"),
             ),
+            days_on_mls=days_on_mls
         )
 
         return [listing]
@@ -274,6 +289,10 @@ class RealtorScraper(Scraper):
                                 last_sold_date
                                 list_price
                                 price_per_sqft
+                                flags {
+                                    is_contingent
+                                    is_pending
+                                }
                                 description {
                                     sqft
                                     beds
@@ -335,17 +354,19 @@ class RealtorScraper(Scraper):
 
         pending_or_contingent_param = (
             "or_filters: { contingent: true, pending: true }"
-            if self.pending_or_contingent
+            if self.listing_type == ListingType.PENDING
             else ""
         )
 
+        listing_type = ListingType.FOR_SALE if self.listing_type == ListingType.PENDING else self.listing_type
+
         if search_type == "comps":  #: comps search, came from an address
             query = """query Property_search(
                     $coordinates: [Float]!
                     $radius: String!
                     $offset: Int!,
                     ) {
-                        property_search(
+                        home_search(
                             query: { 
                                 nearby: {
                                     coordinates: $coordinates
@@ -353,13 +374,15 @@ class RealtorScraper(Scraper):
                                 }
                                 status: %s
                                 %s
+                                %s
                             }
                             %s
                             limit: 200
                             offset: $offset
                     ) %s""" % (
-                self.listing_type.value.lower(),
+                listing_type.value.lower(),
                 date_param,
+                pending_or_contingent_param,
                 sort_param,
                 results_query,
             )
@@ -385,7 +408,7 @@ class RealtorScraper(Scraper):
                                     limit: 200
                                     offset: $offset
                                 ) %s""" % (
-                self.listing_type.value.lower(),
+                listing_type.value.lower(),
                 date_param,
                 pending_or_contingent_param,
                 sort_param,
@@ -415,7 +438,7 @@ 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 search_type == "area" else "property_search"
+        search_key = "home_search" if "home_search" in query else "property_search"
 
         properties: list[Property] = []
 
@@ -430,7 +453,6 @@ class RealtorScraper(Scraper):
             return {"total": 0, "properties": []}
 
         for result in response_json["data"][search_key]["results"]:
-            self.counter += 1
             mls = (
                 result["source"].get("id")
                 if "source" in result and isinstance(result["source"], dict)
@@ -447,13 +469,15 @@ class RealtorScraper(Scraper):
                 and result["location"]["address"].get("coordinate")
             )
 
+            is_pending = result["flags"].get("is_pending") or result["flags"].get("is_contingent")
+
             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}{result['property_id']}",
-                status=result["status"].upper(),
+                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")
@@ -470,8 +494,8 @@ class RealtorScraper(Scraper):
                 if able_to_get_lat_long
                 else None,
                 address=self._parse_address(result, search_type="general_search"),
-                #: neighborhoods=self._parse_neighborhoods(result),
                 description=self._parse_description(result),
+                days_on_mls=self.calculate_days_on_mls(result)
             )
             properties.append(realty_property)
 
@@ -582,7 +606,6 @@ class RealtorScraper(Scraper):
         description_data = result.get("description", {})
 
         if description_data is None or not isinstance(description_data, dict):
-            print("Warning: description_data is invalid!")
             description_data = {}
 
         style = description_data.get("type", "")
@@ -601,3 +624,22 @@ class RealtorScraper(Scraper):
             garage=description_data.get("garage"),
             stories=description_data.get("stories"),
         )
+
+    @staticmethod
+    def calculate_days_on_mls(result: dict) -> Optional[int]:
+        list_date_str = result.get("list_date")
+        list_date = datetime.strptime(list_date_str.split("T")[0], "%Y-%m-%d") if list_date_str else None
+        last_sold_date_str = result.get("last_sold_date")
+        last_sold_date = datetime.strptime(last_sold_date_str, "%Y-%m-%d") if last_sold_date_str else None
+        today = datetime.now()
+
+        if list_date:
+            if result["status"] == 'sold':
+                if last_sold_date:
+                    days = (last_sold_date - list_date).days
+                    if days >= 0:
+                        return days
+            elif result["status"] in ('for_sale', 'for_rent'):
+                days = (today - list_date).days
+                if days >= 0:
+                    return days

homeharvest/utils.py

@@ -18,6 +18,7 @@ ordered_properties = [
     "half_baths",
     "sqft",
     "year_built",
+    "days_on_mls",
     "list_price",
     "list_date",
     "sold_price",

poetry.lock

@@ -13,86 +13,101 @@ files = [
 
 [[package]]
 name = "charset-normalizer"
-version = "3.2.0"
+version = "3.3.0"
 description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
 optional = false
 python-versions = ">=3.7.0"
 files = [
-    {file = "charset-normalizer-3.2.0.tar.gz", hash = "sha256:3bb3d25a8e6c0aedd251753a79ae98a093c7e7b471faa3aa9a93a81431987ace"},
+    {file = "charset-normalizer-3.3.0.tar.gz", hash = "sha256:63563193aec44bce707e0c5ca64ff69fa72ed7cf34ce6e11d5127555756fd2f6"},
-    {file = "charset_normalizer-3.2.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:0b87549028f680ca955556e3bd57013ab47474c3124dc069faa0b6545b6c9710"},
+    {file = "charset_normalizer-3.3.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:effe5406c9bd748a871dbcaf3ac69167c38d72db8c9baf3ff954c344f31c4cbe"},
-    {file = "charset_normalizer-3.2.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:7c70087bfee18a42b4040bb9ec1ca15a08242cf5867c58726530bdf3945672ed"},
+    {file = "charset_normalizer-3.3.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:4162918ef3098851fcd8a628bf9b6a98d10c380725df9e04caf5ca6dd48c847a"},
-    {file = "charset_normalizer-3.2.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:a103b3a7069b62f5d4890ae1b8f0597618f628b286b03d4bc9195230b154bfa9"},
+    {file = "charset_normalizer-3.3.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:0570d21da019941634a531444364f2482e8db0b3425fcd5ac0c36565a64142c8"},
-    {file = "charset_normalizer-3.2.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:94aea8eff76ee6d1cdacb07dd2123a68283cb5569e0250feab1240058f53b623"},
+    {file = "charset_normalizer-3.3.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5707a746c6083a3a74b46b3a631d78d129edab06195a92a8ece755aac25a3f3d"},
-    {file = "charset_normalizer-3.2.0-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:db901e2ac34c931d73054d9797383d0f8009991e723dab15109740a63e7f902a"},
+    {file = "charset_normalizer-3.3.0-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:278c296c6f96fa686d74eb449ea1697f3c03dc28b75f873b65b5201806346a69"},
-    {file = "charset_normalizer-3.2.0-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:b0dac0ff919ba34d4df1b6131f59ce95b08b9065233446be7e459f95554c0dc8"},
+    {file = "charset_normalizer-3.3.0-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:a4b71f4d1765639372a3b32d2638197f5cd5221b19531f9245fcc9ee62d38f56"},
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-    {file = "pandas-2.1.0.tar.gz", hash = "sha256:62c24c7fc59e42b775ce0679cfa7b14a5f9bfb7643cfbe708c960699e05fb918"},
+    {file = "pandas-2.1.1-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:366da7b0e540d1b908886d4feb3d951f2f1e572e655c1160f5fde28ad4abb750"},
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+    {file = "pandas-2.1.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a0dbfea0dd3901ad4ce2306575c54348d98499c95be01b8d885a2737fe4d7a98"},
+    {file = "pandas-2.1.1-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:0489b0e6aa3d907e909aef92975edae89b1ee1654db5eafb9be633b0124abe97"},
+    {file = "pandas-2.1.1-cp39-cp39-win_amd64.whl", hash = "sha256:4cdb0fab0400c2cb46dafcf1a0fe084c8bb2480a1fa8d81e19d15e12e6d4ded2"},
+    {file = "pandas-2.1.1.tar.gz", hash = "sha256:fecb198dc389429be557cde50a2d46da8434a17fe37d7d41ff102e3987fd947b"},
 ]
 
 [package.dependencies]
 numpy = [
     {version = ">=1.22.4", markers = "python_version < \"3.11\""},
-    {version = ">=1.23.2", markers = "python_version >= \"3.11\""},
+    {version = ">=1.23.2", markers = "python_version == \"3.11\""},
+    {version = ">=1.26.0", markers = "python_version >= \"3.12\""},
 ]
 python-dateutil = ">=2.8.2"
 pytz = ">=2020.1"
@@ -408,17 +396,6 @@ files = [
     {file = "six-1.16.0.tar.gz", hash = "sha256:1e61c37477a1626458e36f7b1d82aa5c9b094fa4802892072e49de9c60c4c926"},
 ]
 
-[[package]]
-name = "tls-client"
-version = "0.2.2"
-description = "Advanced Python HTTP Client."
-optional = false
-python-versions = "*"
-files = [
-    {file = "tls_client-0.2.2-py3-none-any.whl", hash = "sha256:30934871397cdad6862e00b5634f382666314a452ddd3d774e18323a0ad9b765"},
-    {file = "tls_client-0.2.2.tar.gz", hash = "sha256:78bc0e291e3aadc6c5e903b62bb26c01374577691f2a9e5e17899900a5927a13"},
-]
-
 [[package]]
 name = "tomli"
 version = "2.0.1"
@@ -443,13 +420,13 @@ files = [
 
 [[package]]
 name = "urllib3"
-version = "2.0.4"
+version = "2.0.6"
 description = "HTTP library with thread-safe connection pooling, file post, and more."
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "urllib3-2.0.4-py3-none-any.whl", hash = "sha256:de7df1803967d2c2a98e4b11bb7d6bd9210474c46e8a0401514e3a42a75ebde4"},
+    {file = "urllib3-2.0.6-py3-none-any.whl", hash = "sha256:7a7c7003b000adf9e7ca2a377c9688bbc54ed41b985789ed576570342a375cd2"},
-    {file = "urllib3-2.0.4.tar.gz", hash = "sha256:8d22f86aae8ef5e410d4f539fde9ce6b2113a001bb4d189e0aed70642d602b11"},
+    {file = "urllib3-2.0.6.tar.gz", hash = "sha256:b19e1a85d206b56d7df1d5e683df4a7725252a964e3993648dd0fb5a1c157564"},
 ]
 
 [package.extras]
@@ -460,5 +437,5 @@ zstd = ["zstandard (>=0.18.0)"]
 
 [metadata]
 lock-version = "2.0"
-python-versions = "^3.10"
+python-versions = ">=3.10,<3.13"
-content-hash = "9b77e1a09fcf2cf5e7e6be53f304cd21a6a51ea51680d661a178afe5e5343670"
+content-hash = "09ad811d74a42363ff4c3ccd012d8f73c89d7d978e5a6445b0f3d2e231922f1b"

pyproject.toml

@@ -1,20 +1,19 @@
 [tool.poetry]
 name = "homeharvest"
-version = "0.3.1"
+version = "0.3.6"
 description = "Real estate scraping library supporting Zillow, Realtor.com & Redfin."
 authors = ["Zachary Hampton <zachary@zacharysproducts.com>", "Cullen Watson <cullen@cullen.ai>"]
-homepage = "https://github.com/ZacharyHampton/HomeHarvest"
+homepage = "https://github.com/Bunsly/HomeHarvest"
 readme = "README.md"
 
 [tool.poetry.scripts]
 homeharvest = "homeharvest.cli:main"
 
 [tool.poetry.dependencies]
-python = "^3.10"
+python = ">=3.10,<3.13"
 requests = "^2.31.0"
-pandas = "^2.1.0"
+pandas = "^2.1.1"
 openpyxl = "^3.1.2"
-tls-client = "^0.2.2"
 
 
 [tool.poetry.group.dev.dependencies]

tests/test_realtor.py

@@ -7,14 +7,10 @@ from homeharvest.exceptions import (
 
 def test_realtor_pending_or_contingent():
     pending_or_contingent_result = scrape_property(
-        location="Surprise, AZ",
+        location="Surprise, AZ", listing_type="pending"
-        pending_or_contingent=True,
     )
 
-    regular_result = scrape_property(
+    regular_result = scrape_property(location="Surprise, AZ", listing_type="for_sale")
-        location="Surprise, AZ",
-        pending_or_contingent=False,
-    )
 
     assert all(
         [
@@ -25,11 +21,40 @@ def test_realtor_pending_or_contingent():
     assert len(pending_or_contingent_result) != len(regular_result)
 
 
+def test_realtor_pending_comps():
+    pending_comps = scrape_property(
+        location="2530 Al Lipscomb Way",
+        radius=5,
+        past_days=180,
+        listing_type="pending",
+    )
+
+    for_sale_comps = scrape_property(
+        location="2530 Al Lipscomb Way",
+        radius=5,
+        past_days=180,
+        listing_type="for_sale",
+    )
+
+    sold_comps = scrape_property(
+        location="2530 Al Lipscomb Way",
+        radius=5,
+        past_days=180,
+        listing_type="sold",
+    )
+
+    results = [pending_comps, for_sale_comps, sold_comps]
+    assert all([result is not None for result in results])
+
+    #: assert all lengths are different
+    assert len(set([len(result) for result in results])) == len(results)
+
+
 def test_realtor_comps():
     result = scrape_property(
         location="2530 Al Lipscomb Way",
         radius=0.5,
-        property_younger_than=180,
+        past_days=180,
         listing_type="sold",
     )
 
@@ -38,11 +63,11 @@ def test_realtor_comps():
 
 def test_realtor_last_x_days_sold():
     days_result_30 = scrape_property(
-        location="Dallas, TX", listing_type="sold", property_younger_than=30
+        location="Dallas, TX", listing_type="sold", past_days=30
     )
 
     days_result_10 = scrape_property(
-        location="Dallas, TX", listing_type="sold", property_younger_than=10
+        location="Dallas, TX", listing_type="sold", past_days=10
     )
 
     assert all(