add cli

README.md

@@ -20,8 +20,24 @@
 pip install --force-reinstall homeharvest
 ```
   _Python version >= [3.10](https://www.python.org/downloads/release/python-3100/) required_ 
-  
+
 ## Usage
+
+### CLI 
+
+```bash
+homeharvest "San Francisco, CA" --site_name zillow realtor.com redfin --listing_type for_rent --output excel --filename HomeHarvest
+```
+
+This will scrape properties from the specified sites for the given location and listing type, and save the results to an Excel file named `HomeHarvest.xlsx`.
+
+By default:
+- If `--site_name` is not provided, it will scrape from all available sites.
+- If `--listing_type` is left blank, the default is `for_sale`, other options are `for_rent` or `sold`.
+- The `--output` default format is `excel`, options are `csv` or `excel`.
+- If `--filename` is left blank, the default is  `HomeHarvest_<current_timestamp>`
+
+### Python 
 ```py
 from homeharvest import scrape_property
 import pandas as pd
@@ -105,7 +121,14 @@ Property
 │   └── bldg_min_area (int)
 
 └── Apartment Details (for property type: apartment):
-    └── apt_min_price (int)
+    ├── apt_min_beds: int
+    ├── apt_max_beds: int
+    ├── apt_min_baths: float
+    ├── apt_max_baths: float
+    ├── apt_min_price: int
+    ├── apt_max_price: int
+    ├── apt_min_sqft: int
+    ├── apt_max_sqft: int
 ```
 ## Supported Countries for Property Scraping
 

homeharvest/__init__.py

@@ -68,10 +68,10 @@ def get_ordered_properties(result: Property) -> list[str]:
         "year_built",
         "agent_name",
         "mls_id",
-        "description",
         "img_src",
         "latitude",
         "longitude",
+        "description",
     ]
 
 

homeharvest/cli.py

@@ -0,0 +1,57 @@
+import argparse
+import datetime
+from homeharvest import scrape_property
+
+
+def main():
+    parser = argparse.ArgumentParser(description="Home Harvest Property Scraper")
+    parser.add_argument(
+        "location", type=str, help="Location to scrape (e.g., San Francisco, CA)"
+    )
+    parser.add_argument(
+        "--site_name",
+        type=str,
+        nargs="*",
+        default=None,
+        help="Site name(s) to scrape from (e.g., realtor.com zillow)",
+    )
+    parser.add_argument(
+        "--listing_type",
+        type=str,
+        default="for_sale",
+        choices=["for_sale", "for_rent", "sold"],
+        help="Listing type to scrape",
+    )
+    parser.add_argument(
+        "--output",
+        type=str,
+        default="excel",
+        choices=["excel", "csv"],
+        help="Output format",
+    )
+    parser.add_argument(
+        "--filename",
+        type=str,
+        default=None,
+        help="Name of the output file (without extension)",
+    )
+
+    args = parser.parse_args()
+    result = scrape_property(args.location, args.site_name, args.listing_type)
+
+    if not args.filename:
+        timestamp = datetime.datetime.now().strftime("%Y%m%d_%H%M%S")
+        args.filename = f"HomeHarvest_{timestamp}"
+
+    if args.output == "excel":
+        output_filename = f"{args.filename}.xlsx"
+        result.to_excel(output_filename, index=False)
+        print(f"Excel file saved as {output_filename}")
+    elif args.output == "csv":
+        output_filename = f"{args.filename}.csv"
+        result.to_csv(output_filename, index=False)
+        print(f"CSV file saved as {output_filename}")
+
+
+if __name__ == "__main__":
+    main()

homeharvest/core/scrapers/zillow/__init__.py

@@ -188,7 +188,9 @@ def _parse_properties(self, property_data: dict):
                     else None,
                     "img_src": result.get("imgSrc"),
                     "price_per_sqft": int(home_info["price"] // home_info["livingArea"])
-                    if "livingArea" in home_info and "price" in home_info
+                    if "livingArea" in home_info
+                    and home_info["livingArea"] != 0
+                    and "price" in home_info
                     else None,
                 }
                 property_obj = Property(**property_data)

pyproject.toml

@@ -1,11 +1,14 @@
 [tool.poetry]
 name = "homeharvest"
-version = "0.2.2"
+version = "0.2.3"
 description = "Real estate scraping library supporting Zillow, Realtor.com & Redfin."
 authors = ["Zachary Hampton <[email protected]>", "Cullen Watson <[email protected]>"]
 homepage = "https://github.com/ZacharyHampton/HomeHarvest"
 readme = "README.md"
 
+[tool.poetry.scripts]
+homeharvest = "homeharvest.cli:main"
+
 [tool.poetry.dependencies]
 python = "^3.10"
 requests = "^2.31.0"
@@ -18,4 +21,4 @@ pytest = "^7.4.2"
 
 [build-system]
 requires = ["poetry-core"]
-build-backend = "poetry.core.masonry.api"
+build-backend = "poetry.core.masonry.api"