67 lines
1.9 KiB
Python
67 lines
1.9 KiB
Python
import argparse
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import datetime
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from homeharvest import scrape_property
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def main():
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parser = argparse.ArgumentParser(description="Home Harvest Property Scraper")
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parser.add_argument("location", type=str, help="Location to scrape (e.g., San Francisco, CA)")
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parser.add_argument(
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"-l",
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"--listing_type",
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type=str,
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default="for_sale",
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choices=["for_sale", "for_rent", "sold"],
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help="Listing type to scrape",
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)
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parser.add_argument(
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"-o",
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"--output",
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type=str,
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default="excel",
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choices=["excel", "csv"],
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help="Output format",
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)
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parser.add_argument(
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"-f",
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"--filename",
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type=str,
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default=None,
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help="Name of the output file (without extension)",
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)
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parser.add_argument("-p", "--proxy", type=str, default=None, help="Proxy to use for scraping")
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parser.add_argument("-d", "--days", type=int, default=None, help="Sold in last _ days filter.")
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parser.add_argument(
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"-r",
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"--radius",
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type=float,
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default=None,
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help="Get comparable properties within _ (eg. 0.0) miles. Only applicable for individual addresses."
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)
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args = parser.parse_args()
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result = scrape_property(args.location, args.listing_type, proxy=args.proxy)
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if not args.filename:
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timestamp = datetime.datetime.now().strftime("%Y%m%d_%H%M%S")
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args.filename = f"HomeHarvest_{timestamp}"
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if args.output == "excel":
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output_filename = f"{args.filename}.xlsx"
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result.to_excel(output_filename, index=False)
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print(f"Excel file saved as {output_filename}")
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elif args.output == "csv":
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output_filename = f"{args.filename}.csv"
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result.to_csv(output_filename, index=False)
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print(f"CSV file saved as {output_filename}")
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if __name__ == "__main__":
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main()
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