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.

Looking to build a data-focused software product? Book a call 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 - updated for release v0.3.4

Installation

pip install -U homeharvest

Python version >= 3.10 required

Usage

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, 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

>>> 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

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
│ └── hoa_fee

├── Location Details:
│ ├── latitude
│ ├── longitude

└── Parking Details:
    └── parking_garage

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