- location bug fix

README.md

@@ -11,8 +11,6 @@
 - **Source**: Fetches properties directly from **Realtor.com**.
 - **Data Format**: Structures data to resemble MLS listings.
 - **Export Flexibility**: Options to save as either CSV or Excel.
-- **Usage Modes**:
-  - **Python**: For those who'd like to integrate scraping into their Python scripts.
 
 [Video Guide for HomeHarvest](https://youtu.be/J1qgNPgmSLI) - _updated for release v0.3.4_
 
@@ -21,7 +19,7 @@
 ## Installation
 
 ```bash
-pip install homeharvest
+pip install -U homeharvest
 ```
   _Python version >= [3.10](https://www.python.org/downloads/release/python-3100/) required_ 
 

homeharvest/core/scrapers/realtor/__init__.py

@@ -158,7 +158,8 @@ class RealtorScraper(Scraper):
             else None,
             address=self._parse_address(property_info, search_type="handle_listing"),
             description=Description(
-                primary_photo=property_info["primary_photo"].get("href", "").replace("s.jpg", "od-w480_h360_x2.webp?w=1080&q=75"),
+                primary_photo=property_info["primary_photo"].get("href", "").replace("s.jpg",
+                                                                                     "od-w480_h360_x2.webp?w=1080&q=75"),
                 alt_photos=self.process_alt_photos(property_info.get("photos", [])),
                 style=property_info["basic"].get("type", "").upper(),
                 beds=property_info["basic"].get("beds"),
@@ -385,10 +386,9 @@ class RealtorScraper(Scraper):
         listing_type = ListingType.FOR_SALE if self.listing_type == ListingType.PENDING else self.listing_type
         is_foreclosure = ""
 
-        if 'foreclosure' in variables and variables['foreclosure'] == True:
+        if variables.get('foreclosure') is True:
             is_foreclosure = "foreclosure: true"
-        
+        elif variables.get('foreclosure') is False:
-        if 'foreclosure' in variables and variables['foreclosure'] == False:
             is_foreclosure = "foreclosure: false"
 
         if search_type == "comps":  #: comps search, came from an address
@@ -578,6 +578,9 @@ class RealtorScraper(Scraper):
                     return gql_results["properties"]
 
             else:  #: general search, comps (radius)
+                if not location_info.get("centroid"):
+                    return []
+
                 coordinates = list(location_info["centroid"].values())
                 search_variables |= {
                     "coordinates": coordinates,
@@ -692,7 +695,6 @@ class RealtorScraper(Scraper):
             stories=description_data.get("stories"),
         )
 
-
     @staticmethod
     def calculate_days_on_mls(result: dict) -> Optional[int]:
         list_date_str = result.get("list_date")

pyproject.toml

@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "homeharvest"
-version = "0.3.12"
+version = "0.3.13"
 description = "Real estate scraping library"
 authors = ["Zachary Hampton <zachary@bunsly.com>", "Cullen Watson <cullen@bunsly.com>"]
 homepage = "https://github.com/Bunsly/HomeHarvest"

tests/test_realtor.py

@@ -131,6 +131,15 @@ def test_realtor():
     assert all([result is not None for result in results])
 
 
+def test_realtor_city():
+    results = scrape_property(
+        location="Atlanta, GA",
+        listing_type="for_sale",
+    )
+
+    assert results is not None and len(results) > 0
+
+
 def test_realtor_bad_address():
     bad_results = scrape_property(
             location="abceefg ju098ot498hh9",