HomeHarvest/examples/HomeHarvest_Demo.py

21 lines
795 B
Python

from homeharvest import scrape_property
from datetime import datetime
# Generate filename based on current timestamp
current_timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
filename = f"HomeHarvest_{current_timestamp}.csv"
properties = scrape_property(
location="San Diego, CA",
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)}")
# Export to csv
properties.to_csv(filename, index=False)
print(properties.head())