Merge pull request #42 from Bunsly/street_dirction

fix: add street direction
chore: version
2026-03-05 03:54:29 -08:00 · 2023-11-08 16:53:29 -06:00 · 2023-11-08 16:53:05 -06:00 · 2023-11-08 16:52:06 -06:00 · 2023-11-06 22:13:01 -07:00 · 2023-11-03 18:53:46 -05:00
13 changed files with 470 additions and 292 deletions
--- a/README.md
+++ b/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://bunsly.com)** *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

@@ -17,10 +16,11 @@ Check out another project we wrote: ***[JobSpy](https://github.com/cullenwatson/
 - **Data Format**: Structures data to resemble MLS listings.
 - **Export Flexibility**: Options to save as either CSV or Excel.
 - **Usage Modes**:
-  - **CLI**: For users who prefer command-line operations.
  - **Python**: For those who'd like to integrate scraping into their Python scripts.
+  - **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)

@@ -33,34 +33,6 @@ pip install homeharvest

 ## Usage

-### CLI 
-
-```
-usage: homeharvest [-l {for_sale,for_rent,sold}] [-o {excel,csv}] [-f FILENAME] [-p PROXY] [-d DAYS] [-r RADIUS] [-m] location
-                                                                                                                             
-Home Harvest Property Scraper                                                                                                 
-                                                                                                                             
-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}                                                        
-                        Listing type to scrape                                                                                
-  -o {excel,csv}, --output {excel,csv}                                                                                        
-                        Output format                                                                                         
-  -f FILENAME, --filename FILENAME                                                                                            
-                        Name of the output file (without extension)                                                           
-  -p PROXY, --proxy PROXY                                                                                                     
-                        Proxy to use for scraping                                                                             
-  -d DAYS, --days DAYS  Sold/listed in last _ days filter.                                                                           
-  -r RADIUS, --radius RADIUS                                                                                                  
-                        Get comparable properties within _ (eg. 0.0) miles. Only applicable for individual addresses.        
-  -m, --mls_only        If set, fetches only MLS listings.
-```
-```bash
-> homeharvest "San Francisco, CA" -l for_rent -o excel -f HomeHarvest
-```
-
 ### Python

 ```py
@@ -69,13 +41,18 @@ from datetime import datetime

 # Generate filename based on current timestamp
 current_timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
-filename = f"output/{current_timestamp}.csv"
+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)
-  mls_only=True,  # only fetch MLS listings
+  listing_type="sold",  # or (for_sale, for_rent, pending)
+  past_days=30,  # sold in last 30 days - listed in last 30 days if (for_sale, for_rent)
+  
+  # date_from="2023-05-01", # alternative to past_days 
+  # date_to="2023-05-28", 
+  
+  # mls_only=True,  # only fetch MLS listings
+  # proxy="http://user:pass@host:port"  # use a proxy to change your IP address
 )
 print(f"Number of properties: {len(properties)}")

@@ -84,6 +61,7 @@ properties.to_csv(filename, index=False)
 print(properties.head())
 ```

+
 ## Output
 ```plaintext
 >>> properties.head()
@@ -104,19 +82,55 @@ 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)
 │
+├── date_from, date_to (string): Start and end dates to filter properties listed or sold, both dates are required.
+}    (use this to get properties in chunks as there's a 10k result limit)
+│    Format for both must be "YYYY-MM-DD". 
+│    Example: "2023-05-01", "2023-05-15" (fetches properties listed/sold between these dates)
+│
 ├── mls_only (True/False): If set, fetches only MLS listings (mainly applicable to 'sold' listings)
 │
 └── proxy (string): In format 'http://user:pass@host:port'

+
 ```
+
+### CLI 
+
+```
+usage: homeharvest [-l {for_sale,for_rent,sold}] [-o {excel,csv}] [-f FILENAME] [-p PROXY] [-d DAYS] [-r RADIUS] [-m] [-c] location
+                                                                                                                             
+Home Harvest Property Scraper                                                                                                 
+                                                                                                                             
+positional arguments:                                                                                                         
+  location              Location to scrape (e.g., San Francisco, CA)                                                          
+                                                                                                                             
+options:                                                                                                                      
+  -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                                                                                         
+  -f FILENAME, --filename FILENAME                                                                                            
+                        Name of the output file (without extension)                                                           
+  -p PROXY, --proxy PROXY                                                                                                     
+                        Proxy to use for scraping                                                                             
+  -d DAYS, --days DAYS  Sold/listed in last _ days filter.                                                                           
+  -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.                                                                    
+```
+```bash
+homeharvest "San Francisco, CA" -l for_rent -o excel -f HomeHarvest
+```
+
 ### Property Schema
 ```plaintext
 Property
@@ -144,6 +158,7 @@ Property
 │ └── lot_sqft

 ├── Property Listing Details:
+│ ├── days_on_mls
 │ ├── list_price
 │ ├── list_date
 │ ├── sold_price
@@ -163,7 +178,7 @@ Property
 The following exceptions may be raised when using HomeHarvest:

 - `InvalidListingType` - valid options: `for_sale`, `for_rent`, `sold`
- `NoResultsFound` - no properties found from your search
+- `InvalidDate` - date_from or date_to is not in the format YYYY-MM-DD
  
  
 ## Frequently Asked Questions
--- a/examples/HomeHarvest_Demo.ipynb
+++ b/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))"
   ]
  }
 ],
--- a/examples/HomeHarvest_Demo.py
+++ b/examples/HomeHarvest_Demo.py
@@ -3,13 +3,15 @@ from datetime import datetime

 # Generate filename based on current timestamp
 current_timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
-filename = f"output/{current_timestamp}.csv"
+filename = f"HomeHarvest_{current_timestamp}.csv"

 properties = scrape_property(
    location="San Diego, CA",
-    listing_type="sold", # for_sale, for_rent
-    property_younger_than=30, # sold/listed in last 30 days
-    mls_only=True, # only fetch MLS listings
+    listing_type="sold",  # or (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
 )
 print(f"Number of properties: {len(properties)}")

--- a/homeharvest/init.py
+++ b/homeharvest/init.py
@@ -1,10 +1,9 @@
 import warnings
 import pandas as pd
 from .core.scrapers import ScraperInput
-from .utils import process_result, ordered_properties, validate_input
+from .utils import process_result, ordered_properties, validate_input, validate_dates
 from .core.scrapers.realtor import RealtorScraper
 from .core.scrapers.models import ListingType
-from .exceptions import InvalidListingType, NoResultsFound


 def scrape_property(
@@ -12,9 +11,10 @@ def scrape_property(
    listing_type: str = "for_sale",
    radius: float = None,
    mls_only: bool = False,
-    property_younger_than: int = None,
-    pending_or_contingent: bool = False,
+    past_days: int = None,
    proxy: str = None,
+    date_from: str = None,
+    date_to: str = None,
 ) -> pd.DataFrame:
    """
    Scrape properties from Realtor.com based on a given location and listing type.
@@ -22,11 +22,12 @@ 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 pending_or_contingent: If set, fetches only pending or contingent listings. Only applicable for for_sale listings from general area searches.
+    :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
    """
    validate_input(listing_type)
+    validate_dates(date_from, date_to)

    scraper_input = ScraperInput(
        location=location,
@@ -34,8 +35,9 @@ def scrape_property(
        proxy=proxy,
        radius=radius,
        mls_only=mls_only,
-        last_x_days=property_younger_than,
-        pending_or_contingent=pending_or_contingent,
+        last_x_days=past_days,
+        date_from=date_from,
+        date_to=date_to,
    )

    site = RealtorScraper(scraper_input)
@@ -43,7 +45,7 @@ def scrape_property(

    properties_dfs = [process_result(result) for result in results]
    if not properties_dfs:
-        raise NoResultsFound("no results found for the query")
+        return pd.DataFrame()

    with warnings.catch_warnings():
        warnings.simplefilter("ignore", category=FutureWarning)
--- a/homeharvest/cli.py
+++ b/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",
    )

@@ -68,7 +68,7 @@ def main():
        radius=args.radius,
        proxy=args.proxy,
        mls_only=args.mls_only,
-        property_younger_than=args.days,
+        past_days=args.days,
    )

    if not args.filename:
--- a/homeharvest/core/scrapers/init.py
+++ b/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 +11,15 @@ class ScraperInput:
    mls_only: bool | None = None
    proxy: str | None = None
    last_x_days: int | None = None
-    pending_or_contingent: bool | None = None
+    date_from: str | None = None
+    date_to: str | 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 +38,8 @@ 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
+        self.date_from = scraper_input.date_from
+        self.date_to = scraper_input.date_to

    def search(self) -> list[Property]:
        ...
--- a/homeharvest/core/scrapers/models.py
+++ b/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
--- a/homeharvest/core/scrapers/realtor/init.py
+++ b/homeharvest/core/scrapers/realtor/init.py
@@ -4,11 +4,11 @@ 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

 from .. import Scraper
-from ....exceptions import NoResultsFound
 from ..models import Property, Address, ListingType, Description


@@ -18,7 +18,6 @@ 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):
@@ -38,7 +37,7 @@ class RealtorScraper(Scraper):
        result = response_json["autocomplete"]

        if not result:
-            raise NoResultsFound("No results found for location: " + self.location)
+            return None

        return result[0]

@@ -50,6 +49,7 @@ class RealtorScraper(Scraper):
                            listing_id
                        }
                        address {
+                            street_direction
                            street_number
                            street_name
                            street_suffix
@@ -110,6 +110,24 @@ class RealtorScraper(Scraper):
                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
+
+        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,
@@ -119,15 +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]
-            if property_info["basic"].get("list_date")
-            else None,
-            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=property_info["basic"]["sold_date"].split("T")[0]
-            if property_info["basic"].get("sold_date")
+            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,
            latitude=property_info["address"]["location"]["coordinate"].get("lat")
            if able_to_get_lat_long
            else None,
@@ -146,7 +162,8 @@ class RealtorScraper(Scraper):
                year_built=property_info["details"].get("year_built"),
                garage=property_info["details"].get("garage"),
                stories=property_info["details"].get("stories"),
-            )
+            ),
+            days_on_mls=days_on_mls
        )

        return [listing]
@@ -175,7 +192,10 @@ class RealtorScraper(Scraper):
        if property_info["listings"] is None:
            return None

-        primary_listing = next((listing for listing in property_info["listings"] if listing["primary"]), None)
+        primary_listing = next(
+            (listing for listing in property_info["listings"] if listing["primary"]),
+            None,
+        )
        if primary_listing:
            return primary_listing["listing_id"]
        else:
@@ -196,6 +216,7 @@ class RealtorScraper(Scraper):
                            stories
                        }
                        address {
+                            street_direction
                            street_number
                            street_name
                            street_suffix
@@ -269,6 +290,10 @@ class RealtorScraper(Scraper):
                                last_sold_date
                                list_price
                                price_per_sqft
+                                flags {
+                                    is_contingent
+                                    is_pending
+                                }
                                description {
                                    sqft
                                    beds
@@ -292,6 +317,7 @@ class RealtorScraper(Scraper):
                                }
                                location {
                                    address {
+                                        street_direction
                                        street_number
                                        street_name
                                        street_suffix
@@ -312,15 +338,17 @@ class RealtorScraper(Scraper):
                        }
                    }"""

-        date_param = (
-            'sold_date: { min: "$today-%sD" }' % self.last_x_days
-            if self.listing_type == ListingType.SOLD and self.last_x_days
-            else (
-                'list_date: { min: "$today-%sD" }' % self.last_x_days
-                if self.last_x_days
-                else ""
-            )
-        )
+        date_param = ""
+        if self.listing_type == ListingType.SOLD:
+            if self.date_from and self.date_to:
+                date_param = f'sold_date: {{ min: "{self.date_from}", max: "{self.date_to}" }}'
+            elif self.last_x_days:
+                date_param = f'sold_date: {{ min: "$today-{self.last_x_days}D" }}'
+        else:
+            if self.date_from and self.date_to:
+                date_param = f'list_date: {{ min: "{self.date_from}", max: "{self.date_to}" }}'
+            elif self.last_x_days:
+                date_param = f'list_date: {{ min: "$today-{self.last_x_days}D" }}'

        sort_param = (
            "sort: [{ field: sold_date, direction: desc }]"
@@ -328,7 +356,13 @@ class RealtorScraper(Scraper):
            else "sort: [{ field: list_date, direction: desc }]"
        )

-        pending_or_contingent_param = "or_filters: { contingent: true, pending: true }" if self.pending_or_contingent else ""
+        pending_or_contingent_param = (
+            "or_filters: { contingent: true, pending: true }"
+            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(
@@ -336,7 +370,7 @@ class RealtorScraper(Scraper):
                    $radius: String!
                    $offset: Int!,
                    ) {
-                        property_search(
+                        home_search(
                            query: { 
                                nearby: {
                                    coordinates: $coordinates
@@ -344,13 +378,15 @@ 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,
            )
@@ -376,7 +412,7 @@ 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,
@@ -394,7 +430,9 @@ class RealtorScraper(Scraper):
                            }
                            limit: 1
                            offset: $offset
-                        ) %s""" % results_query)
+                        ) %s"""
+                % results_query
+            )

        payload = {
            "query": query,
@@ -404,7 +442,7 @@ 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] = []

@@ -419,7 +457,6 @@ 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)
@@ -436,13 +473,18 @@ class RealtorScraper(Scraper):
                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:
+                continue
+
            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")
@@ -459,8 +501,8 @@ 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)

@@ -471,19 +513,30 @@ class RealtorScraper(Scraper):

    def search(self):
        location_info = self.handle_location()
+        if not location_info:
+            return []
+
        location_type = location_info["area_type"]

        search_variables = {
            "offset": 0,
        }

-        search_type = "comps" if self.radius and location_type == "address" else "address" if location_type == "address" and not self.radius else "area"
+        search_type = (
+            "comps"
+            if self.radius and location_type == "address"
+            else "address"
+            if location_type == "address" and not self.radius
+            else "area"
+        )
        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)
+                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:
@@ -541,28 +594,44 @@ class RealtorScraper(Scraper):
        return ", ".join(neighborhoods_list) if neighborhoods_list else None

    @staticmethod
-    def _parse_address(result: dict, search_type):
+    def handle_none_safely(address_part):
+        if address_part is None:
+            return ""
+
+        return address_part
+
+    def _parse_address(self, result: dict, search_type):
        if search_type == "general_search":
+            address = result['location']['address']
+        else:
+            address = result["address"]
+
        return Address(
-                street=f"{result['location']['address']['street_number']} {result['location']['address']['street_name']} {result['location']['address']['street_suffix']}",
-                unit=result["location"]["address"]["unit"],
-                city=result["location"]["address"]["city"],
-                state=result["location"]["address"]["state_code"],
-                zip=result["location"]["address"]["postal_code"],
-            )
-        return Address(
-            street=f"{result['address']['street_number']} {result['address']['street_name']} {result['address']['street_suffix']}",
-            unit=result["address"]["unit"],
-            city=result["address"]["city"],
-            state=result["address"]["state_code"],
-            zip=result["address"]["postal_code"],
+            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')),
+            ]).strip(),
+            unit=address["unit"],
+            city=address["city"],
+            state=address["state_code"],
+            zip=address["postal_code"],
        )

    @staticmethod
    def _parse_description(result: dict) -> Description:
        description_data = result.get("description", {})
+
+        if description_data is None or not isinstance(description_data, dict):
+            description_data = {}
+
+        style = description_data.get("type", "")
+        if style is not None:
+            style = style.upper()
+
        return Description(
-            style=description_data.get("type", "").upper(),
+            style=style,
            beds=description_data.get("beds"),
            baths_full=description_data.get("baths_full"),
            baths_half=description_data.get("baths_half"),
@@ -573,3 +642,22 @@ 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
--- a/homeharvest/exceptions.py
+++ b/homeharvest/exceptions.py
@@ -1,6 +1,5 @@
 class InvalidListingType(Exception):
    """Raised when a provided listing type is does not exist."""

-
-class NoResultsFound(Exception):
-    """Raised when no results are found for the given location"""
+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 """
--- a/homeharvest/utils.py
+++ b/homeharvest/utils.py
@@ -1,6 +1,7 @@
-from .core.scrapers.models import Property, ListingType
 import pandas as pd
-from .exceptions import InvalidListingType
+from datetime import datetime
+from .core.scrapers.models import Property, ListingType
+from .exceptions import InvalidListingType, InvalidDate

 ordered_properties = [
    "property_url",
@@ -18,6 +19,7 @@ ordered_properties = [
    "half_baths",
    "sqft",
    "year_built",
+    "days_on_mls",
    "list_price",
    "list_date",
    "sold_price",
@@ -69,3 +71,18 @@ def validate_input(listing_type: str) -> None:
        raise InvalidListingType(
            f"Provided listing type, '{listing_type}', does not exist."
        )
+
+
+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):
+        raise InvalidDate("Both date_from and date_to must be provided.")
+
+    if date_from and date_to:
+        try:
+            date_from_obj = datetime.strptime(date_from, "%Y-%m-%d")
+            date_to_obj = datetime.strptime(date_to, "%Y-%m-%d")
+
+            if date_to_obj < date_from_obj:
+                raise InvalidDate("date_to must be after date_from.")
+        except ValueError as e:
+            raise InvalidDate(f"Invalid date format or range")
--- a/poetry.lock
+++ b/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"
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 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 = "urllib3-2.0.4.tar.gz", hash = "sha256:8d22f86aae8ef5e410d4f539fde9ce6b2113a001bb4d189e0aed70642d602b11"},
+    {file = "urllib3-2.0.6-py3-none-any.whl", hash = "sha256:7a7c7003b000adf9e7ca2a377c9688bbc54ed41b985789ed576570342a375cd2"},
+    {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"
-content-hash = "9b77e1a09fcf2cf5e7e6be53f304cd21a6a51ea51680d661a178afe5e5343670"
+python-versions = ">=3.10,<3.13"
+content-hash = "09ad811d74a42363ff4c3ccd012d8f73c89d7d978e5a6445b0f3d2e231922f1b"
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,20 +1,19 @@
 [tool.poetry]
 name = "homeharvest"
-version = "0.3.0"
+version = "0.3.9"
 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]
--- a/tests/test_realtor.py
+++ b/tests/test_realtor.py
@@ -1,30 +1,69 @@
 from homeharvest import scrape_property
 from homeharvest.exceptions import (
    InvalidListingType,
-    NoResultsFound,
 )


 def test_realtor_pending_or_contingent():
    pending_or_contingent_result = scrape_property(
-        location="Surprise, AZ",
-        pending_or_contingent=True,
+        location="Surprise, AZ", listing_type="pending"
    )

-    regular_result = scrape_property(
-        location="Surprise, AZ",
-        pending_or_contingent=False,
-    )
+    regular_result = scrape_property(location="Surprise, AZ", listing_type="for_sale")

-    assert all([result is not None for result in [pending_or_contingent_result, regular_result]])
+    assert all(
+        [
+            result is not None
+            for result in [pending_or_contingent_result, regular_result]
+        ]
+    )
    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_sold_past():
+    result = scrape_property(
+        location="San Diego, CA",
+        past_days=30,
+        listing_type="sold",
+    )
+
+    assert result is not None and len(result) > 0
+
+
 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",
    )

@@ -33,11 +72,11 @@ 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(
@@ -45,6 +84,20 @@ def test_realtor_last_x_days_sold():
    ) and len(days_result_30) != len(days_result_10)


+def test_realtor_date_range_sold():
+    days_result_30 = scrape_property(
+        location="Dallas, TX", listing_type="sold", date_from="2023-05-01", date_to="2023-05-28"
+    )
+
+    days_result_60 = scrape_property(
+        location="Dallas, TX", listing_type="sold", date_from="2023-04-01", date_to="2023-06-10"
+    )
+
+    assert all(
+        [result is not None for result in [days_result_30, days_result_60]]
+    ) and len(days_result_30) < len(days_result_60)
+
+
 def test_realtor_single_property():
    results = [
        scrape_property(
@@ -77,15 +130,12 @@ def test_realtor():

    assert all([result is not None for result in results])

-    bad_results = []
-    try:
-        bad_results += [
-            scrape_property(
+
+def test_realtor_bad_address():
+    bad_results = scrape_property(
            location="abceefg ju098ot498hh9",
            listing_type="for_sale",
        )
-        ]
-    except (InvalidListingType, NoResultsFound):
+    if len(bad_results) == 0:
        assert True

-    assert all([result is None for result in bad_results])
Author	SHA1	Message	Date
Cullen Watson	5b6a9943cc	Merge pull request #42 from Bunsly/street_dirction fix: add street direction	2023-11-08 16:53:29 -06:00
Cullen Watson	9816defaf3	chore: version	2023-11-08 16:53:05 -06:00
Cullen Watson	f692b438b2	fix: add street direction	2023-11-08 16:52:06 -06:00
Zachary Hampton	30f48f54c8	Update README.md	2023-11-06 22:13:01 -07:00
Cullen Watson	7f86f69610	docs: readme	2023-11-03 18:53:46 -05:00
Cullen Watson	cc64dacdb0	docs: readme - date_from, date_to	2023-11-03 18:52:22 -05:00
Cullen Watson	d3268d8e5a	Merge pull request #40 from Bunsly/date_range Add date_to and date_from params	2023-11-03 18:42:13 -05:00
Cullen Watson	4edad901c5	[enh] date_to and date_from	2023-11-03 18:40:34 -05:00
Zachary Hampton	c597a78191	- None address bug fix	2023-10-18 16:32:43 -07:00
Zachary Hampton	11a7d854f0	- remove pending listings from for_sale	2023-10-18 14:41:41 -07:00
Zachary Hampton	f726548cc6	Update pyproject.toml	2023-10-18 09:35:48 -07:00
Zachary Hampton	fad7d670eb	Update README.md	2023-10-18 08:37:42 -07:00
Zachary Hampton	89a6f93c9f	Update pyproject.toml	2023-10-18 08:37:26 -07:00
Zachary Hampton	e1090b06e4	Update README.md	2023-10-17 20:22:25 -07:00
Cullen Watson	5036e74b60	Merge branch 'master' of https://github.com/ZacharyHampton/HomeHarvest	2023-10-09 11:30:17 -05:00
Cullen Watson	2cb544bc8d	[chore] display clickable URLs in jupyter	2023-10-09 11:28:56 -05:00
Zachary Hampton	68cb365e03	Merge pull request #34 from ZacharyHampton/days_on_mls [enh] days_on_mls attr	2023-10-09 09:04:59 -07:00
Cullen Watson	23876d5725	[chore] function types	2023-10-09 11:02:51 -05:00
Cullen Watson	b59d55f6b5	[enh] days_on_mls attr	2023-10-09 11:00:36 -05:00
Cullen Watson	3c3adb5f29	[docs] update video	2023-10-05 20:24:23 -05:00
Zachary Hampton	6ede8622cc	- pending listing support - removal of pending_or_contingent param	2023-10-05 11:43:00 -07:00
Cullen Watson	9f50d33bdb	[chore] remove unused dependency	2023-10-05 10:11:45 -05:00
Cullen Watson	735ec021f7	[docs] README	2023-10-05 10:03:21 -05:00
Zachary Hampton	00537329cf	- version bump	2023-10-04 21:35:21 -07:00
Zachary Hampton	a9225b532f	- rename days variable	2023-10-04 21:35:14 -07:00
Zachary Hampton	ba7ad069c9	Merge pull request #32 from ZacharyHampton/key_error [fix] keyerror on style	2023-10-04 20:35:05 -07:00
Cullen Watson	22bda972b0	[chore] version number	2023-10-04 22:34:52 -05:00
Cullen Watson	6f5bbf79a4	[fix] keyerror on style	2023-10-04 22:33:21 -05:00
Cullen Watson	608cceba34	[docs] reorder	2023-10-04 22:12:16 -05:00
Cullen Watson	3609586995	[docs]: add contingent to example	2023-10-04 22:11:38 -05:00
Cullen Watson	68c7e411e4	[docs] pending / contingent searches	2023-10-04 22:07:51 -05:00
Cullen Watson	5e825601a7	[docs] update example	2023-10-04 21:50:54 -05:00
Cullen Watson	ce3f94d0af	[docs] update example	2023-10-04 21:50:16 -05:00