**HomeHarvest** is a real estate scraping library that extracts and formats data in the style of MLS listings. **Not technical?** Try out the web scraping tool on our site at [tryhomeharvest.com](https://tryhomeharvest.com). *Looking to build a data-focused software product?* **[Book a call](https://bunsly.com)** *to work with us.* ## HomeHarvest Features - **Source**: Fetches properties directly from **Realtor.com**. - **Data Format**: Structures data to resemble MLS listings. - **Export Flexibility**: Options to save as either CSV or Excel. [Video Guide for HomeHarvest](https://youtu.be/J1qgNPgmSLI) - _updated for release v0.3.4_  ## Installation ```bash pip install -U homeharvest ``` _Python version >= [3.10](https://www.python.org/downloads/release/python-3100/) required_ ## Usage ### Python ```py 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, pending) past_days=30, # sold in last 30 days - listed in last 30 days if (for_sale, for_rent) # date_from="2023-05-01", # alternative to past_days # date_to="2023-05-28", # foreclosure=True # mls_only=True, # only fetch MLS listings ) print(f"Number of properties: {len(properties)}") # Export to csv properties.to_csv(filename, index=False) print(properties.head()) ``` ## Output ```plaintext >>> properties.head() MLS MLS # Status Style ... COEDate LotSFApx PrcSqft Stories 0 SDCA 230018348 SOLD CONDOS ... 2023-10-03 290110 803 2 1 SDCA 230016614 SOLD TOWNHOMES ... 2023-10-03 None 838 3 2 SDCA 230016367 SOLD CONDOS ... 2023-10-03 30056 649 1 3 MRCA NDP2306335 SOLD SINGLE_FAMILY ... 2023-10-03 7519 661 2 4 SDCA 230014532 SOLD CONDOS ... 2023-10-03 None 752 1 [5 rows x 22 columns] ``` ### Parameters for `scrape_property()` ``` Required ├── location (str): The address in various formats - this could be just a zip code, a full address, or city/state, etc. └── listing_type (option): Choose the type of listing. - 'for_rent' - 'for_sale' - 'sold' - 'pending' Optional ├── radius (decimal): Radius in miles to find comparable properties based on individual addresses. │ Example: 5.5 (fetches properties within a 5.5-mile radius if location is set to a specific address; otherwise, ignored) │ ├── past_days (integer): Number of past days to filter properties. Utilizes 'last_sold_date' for 'sold' listing types, and 'list_date' for others (for_rent, for_sale). │ Example: 30 (fetches properties listed/sold in the last 30 days) │ ├── date_from, date_to (string): Start and end dates to filter properties listed or sold, both dates are required. | (use this to get properties in chunks as there's a 10k result limit) │ Format for both must be "YYYY-MM-DD". │ Example: "2023-05-01", "2023-05-15" (fetches properties listed/sold between these dates) │ ├── mls_only (True/False): If set, fetches only MLS listings (mainly applicable to 'sold' listings) │ ├── foreclosure (True/False): If set, fetches only foreclosures │ └── proxy (string): In format 'http://user:pass@host:port' ``` ### Property Schema ```plaintext Property ├── Basic Information: │ ├── property_url │ ├── mls │ ├── mls_id │ └── status ├── Address Details: │ ├── street │ ├── unit │ ├── city │ ├── state │ └── zip_code ├── Property Description: │ ├── style │ ├── beds │ ├── full_baths │ ├── half_baths │ ├── sqft │ ├── year_built │ ├── stories │ └── lot_sqft ├── Property Listing Details: │ ├── days_on_mls │ ├── list_price │ ├── list_date │ ├── pending_date │ ├── sold_price │ ├── last_sold_date │ ├── price_per_sqft │ ├── parking_garage │ └── hoa_fee ├── Location Details: │ ├── latitude │ ├── longitude ├── Agent Info: │ ├── agent │ ├── broker │ └── broker_phone ``` ### Exceptions The following exceptions may be raised when using HomeHarvest: - `InvalidListingType` - valid options: `for_sale`, `for_rent`, `sold` - `InvalidDate` - date_from or date_to is not in the format YYYY-MM-DD