HomeHarvest is a simple, yet comprehensive, 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.
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- 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.
- Usage Modes:
- Python: For those who'd like to integrate scraping into their Python scripts.
- CLI: For users who prefer command-line operations.
Video Guide for HomeHarvest - updated for release v0.3.4
pip install homeharvestPython version >= 3.10 required
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",
# 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())>>> 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]
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)
│
└── proxy (string): In format 'http://user:pass@host:port'
usage: homeharvest [-l {for_sale,for_rent,sold}] [-o {excel,csv}] [-f FILENAME] [-p PROXY] [-d DAYS] [-r RADIUS] [-m] [-c] location
Home Harvest Property Scraper
positional arguments:
location Location to scrape (e.g., San Francisco, CA)
options:
-l {for_sale,for_rent,sold,pending}, --listing_type {for_sale,for_rent,sold,pending}
Listing type to scrape
-o {excel,csv}, --output {excel,csv}
Output format
-f FILENAME, --filename FILENAME
Name of the output file (without extension)
-p PROXY, --proxy PROXY
Proxy to use for scraping
-d DAYS, --days DAYS Sold/listed in last _ days filter.
-r RADIUS, --radius RADIUS
Get comparable properties within _ (e.g., 0.0) miles. Only applicable for individual addresses.
-m, --mls_only If set, fetches only MLS listings.
homeharvest "San Francisco, CA" -l for_rent -o excel -f HomeHarvestProperty
├── 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
│ ├── sold_price
│ ├── last_sold_date
│ ├── price_per_sqft
│ └── hoa_fee
├── Location Details:
│ ├── latitude
│ ├── longitude
└── Parking Details:
└── parking_garage
The following exceptions may be raised when using HomeHarvest:
InvalidListingType- valid options:for_sale,for_rent,soldInvalidDate- date_from or date_to is not in the format YYYY-MM-DD
Q: Encountering issues with your searches?
A: Try to broaden the parameters you're using. If problems persist, submit an issue.
Q: Received a Forbidden 403 response code?
A: This indicates that you have been blocked by Realtor.com for sending too many requests. We recommend:
- Waiting a few seconds between requests.
- Trying a VPN or using a proxy as a parameter to scrape_property() to change your IP address.