**HomeHarvest** is a simple, yet comprehensive, real estate scraping library. [![Try with Replit](https://replit.com/badge?caption=Try%20with%20Replit)](https://replit.com/@ZacharyHampton/HomeHarvestDemo) \ **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://calendly.com/zachary-products/15min)** *to work with us.* Check out another project we wrote: ***[JobSpy](https://github.com/cullenwatson/JobSpy)** – a Python package for job scraping* ## Features - Scrapes properties from **Zillow**, **Realtor.com** & **Redfin** simultaneously - Aggregates the properties in a Pandas DataFrame [Video Guide for HomeHarvest](https://youtu.be/JnV7eR2Ve2o) - _updated for release v0.2.7_ ![homeharvest](https://github.com/ZacharyHampton/HomeHarvest/assets/78247585/b3d5d727-e67b-4a9f-85d8-1e65fd18620a) ## Installation ```bash pip install homeharvest ``` _Python version >= [3.10](https://www.python.org/downloads/release/python-3100/) required_ ## Usage ### Python ```py from homeharvest import scrape_property import pandas as pd properties: pd.DataFrame = scrape_property( location="85281", listing_type="for_rent" # for_sale / sold ) #: Note, to export to CSV or Excel, use properties.to_csv() or properties.to_excel(). print(properties) ``` ### CLI ``` usage: homeharvest [-h] [-l {for_sale,for_rent,sold}] [-o {excel,csv}] [-f FILENAME] [-p PROXY] [-d DAYS] [-r RADIUS] location Home Harvest Property Scraper positional arguments: location Location to scrape (e.g., San Francisco, CA) options: -h, --help show this help message and exit -l {for_sale,for_rent,sold}, --listing_type {for_sale,for_rent,sold} 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 in last _ days filter. -r RADIUS, --radius RADIUS Get comparable properties within _ (eg. 0.0) miles. Only applicable for individual addresses. ``` ```bash > homeharvest "San Francisco, CA" -l for_rent -o excel -f HomeHarvest ``` ## Output ```py >>> properties.head() property_url site_name listing_type apt_min_price apt_max_price ... 0 https://www.redfin.com/AZ/Tempe/1003-W-Washing... redfin for_rent 1666.0 2750.0 ... 1 https://www.redfin.com/AZ/Tempe/VELA-at-Town-L... redfin for_rent 1665.0 3763.0 ... 2 https://www.redfin.com/AZ/Tempe/Camden-Tempe/a... redfin for_rent 1939.0 3109.0 ... 3 https://www.redfin.com/AZ/Tempe/Emerson-Park/a... redfin for_rent 1185.0 1817.0 ... 4 https://www.redfin.com/AZ/Tempe/Rio-Paradiso-A... redfin for_rent 1470.0 2235.0 ... [5 rows x 41 columns] ``` ### Parameters for `scrape_properties()` ```plaintext Required ├── location (str): address in various formats e.g. just zip, full address, city/state, etc. └── listing_type (enum): for_rent, for_sale, sold Optional ├── site_name (list[enum], default=all three sites): zillow, realtor.com, redfin ├── proxy (str): in format 'http://user:pass@host:port' or [https, socks] └── keep_duplicates (bool, default=False): whether to keep or remove duplicate properties based on address ``` ### Property Schema ```plaintext Property ├── Basic Information: │ ├── property_url (str) │ ├── site_name (enum): zillow, redfin, realtor.com │ ├── listing_type (enum): for_sale, for_rent, sold │ └── property_type (enum): house, apartment, condo, townhouse, single_family, multi_family, building ├── Address Details: │ ├── street_address (str) │ ├── city (str) │ ├── state (str) │ ├── zip_code (str) │ ├── unit (str) │ └── country (str) ├── House for Sale Features: │ ├── tax_assessed_value (int) │ ├── lot_area_value (float) │ ├── lot_area_unit (str) │ ├── stories (int) │ ├── year_built (int) │ └── price_per_sqft (int) ├── Building for Sale and Apartment Details: │ ├── bldg_name (str) │ ├── beds_min (int) │ ├── beds_max (int) │ ├── baths_min (float) │ ├── baths_max (float) │ ├── sqft_min (int) │ ├── sqft_max (int) │ ├── price_min (int) │ ├── price_max (int) │ ├── area_min (int) │ └── unit_count (int) ├── Miscellaneous Details: │ ├── mls_id (str) │ ├── agent_name (str) │ ├── img_src (str) │ ├── description (str) │ ├── status_text (str) │ └── posted_time (str) └── Location Details: ├── latitude (float) └── longitude (float) ``` ## Supported Countries for Property Scraping * **Zillow**: contains listings in the **US** & **Canada** * **Realtor.com**: mainly from the **US** but also has international listings * **Redfin**: listings mainly in the **US**, **Canada**, & has expanded to some areas in **Mexico** ### Exceptions The following exceptions may be raised when using HomeHarvest: - `InvalidSite` - valid options: `zillow`, `redfin`, `realtor.com` - `InvalidListingType` - valid options: `for_sale`, `for_rent`, `sold` - `NoResultsFound` - no properties found from your input - `GeoCoordsNotFound` - if Zillow scraper is not able to derive geo-coordinates from the location you input ## Frequently Asked Questions --- **Q: Encountering issues with your queries?** **A:** Try a single site and/or broaden the location. If problems persist, [submit an issue](https://github.com/ZacharyHampton/HomeHarvest/issues). --- **Q: Received a Forbidden 403 response code?** **A:** This indicates that you have been blocked by the real estate site for sending too many requests. Currently, **Zillow** is particularly aggressive with blocking. We recommend: - Waiting a few seconds between requests. - Trying a VPN to change your IP address. ---