docs: add logo

README.md

@@ -1,14 +1,14 @@
-# HomeHarvest
+<img src="https://github.com/ZacharyHampton/HomeHarvest/assets/78247585/d1a2bf8b-09f5-4c57-b33a-0ada8a34f12d" width="400">
 
-**HomeHarvest** is a simple but comprehensive real estate scraping library.
+**HomeHarvest** is a simple, yet comprehensive, real estate scraping library.
 
 [![Try with Replit](https://replit.com/badge?caption=Try%20with%20Replit)](https://replit.com/@ZacharyHampton/HomeHarvestDemo)
 
-
 *Looking to build a data-focused software product?* **[Book a call](https://calendly.com/zachary-products/15min)** *to work with us.*
 ## Features
 
 
+
 - Scrapes properties from **Zillow**, **Realtor.com** & **Redfin** simultaneously
 - Aggregates the properties in a Pandas DataFrame
 
@@ -32,12 +32,10 @@ properties: pd.DataFrame = scrape_property(
 
 #: Note, to export to CSV or Excel, use properties.to_csv() or properties.to_excel().
 print(properties)
-
-
 ```
 ## Output
 ```py
->> properties.head()
+>>> properties.head()
                            street   city  ... mls_id description
 0                 420 N  Scottsdale Rd  Tempe  ...    NaN         NaN
 1                1255 E  University Dr  Tempe  ...    NaN         NaN
@@ -118,7 +116,7 @@ The following exceptions may be raised when using HomeHarvest:
 - `InvalidSite` - valid options: `zillow`, `redfin`, `realtor.com`
 - `InvalidListingType` - valid options: `for_sale`, `for_rent`, `sold`
 - `NoResultsFound` - no properties found from your input
-- `GeoCoordsNotFound` - if Zillow scraper is not able to find the geo-coordinates from the `location`
+- `GeoCoordsNotFound` - if Zillow scraper is not able to create geo-coordinates from the location you input
 
 ## Frequently Asked Questions
 

homeharvest/__init__.py

@@ -17,7 +17,6 @@ _scrapers = {
     "zillow": ZillowScraper,
 }
 
-
 def validate_input(site_name: str, listing_type: str) -> None:
     if site_name.lower() not in _scrapers:
         raise InvalidSite(f"Provided site, '{site_name}', does not exist.")
@@ -27,7 +26,6 @@ def validate_input(site_name: str, listing_type: str) -> None:
             f"Provided listing type, '{listing_type}', does not exist."
         )
 
-
 def get_ordered_properties(result: Property) -> list[str]:
     return [
         "property_url",
@@ -67,7 +65,6 @@ def get_ordered_properties(result: Property) -> list[str]:
         "longitude",
     ]
 
-
 def process_result(result: Property) -> pd.DataFrame:
     prop_data = result.__dict__
 
@@ -93,7 +90,6 @@ def process_result(result: Property) -> pd.DataFrame:
 
     return properties_df
 
-
 def _scrape_single_site(
     location: str, site_name: str, listing_type: str
 ) -> pd.DataFrame:
@@ -112,6 +108,7 @@ def _scrape_single_site(
     results = site.search()
 
     properties_dfs = [process_result(result) for result in results]
+    properties_dfs = [df.dropna(axis=1, how='all') for df in properties_dfs if not df.empty]
     if not properties_dfs:
         return pd.DataFrame()
 
@@ -154,6 +151,8 @@ def scrape_property(
                 result = future.result()
                 results.append(result)
 
+    results = [df for df in results if not df.empty and not df.isna().all().all()]
+
     if not results:
         return pd.DataFrame()