2023-11-24 11:41:46 -08:00
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from homeharvest import scrape_property
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from datetime import datetime
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# Generate filename based on current timestamp
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current_timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
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filename = f"HomeHarvest_{current_timestamp}.csv"
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properties = scrape_property(
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location="8134 midway rd dallas tx 75209",
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listing_type="pending", # or (for_sale, for_rent, pending)
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radius=0.5
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# past_days=30, # sold in last 30 days - listed in last 30 days if (for_sale, for_rent)
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# date_from="2023-05-01", # alternative to past_days
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# date_to="2023-05-28",
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# mls_only=True, # only fetch MLS listings
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# proxy="http://user:pass@host:port" # use a proxy to change your IP address
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)
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print(f"Number of properties: {len(properties)}")
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# Export to csv
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properties.to_csv(filename, index=False)
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print(properties.head())
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