HomeHarvest/README.md

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<img src="https://github.com/ZacharyHampton/HomeHarvest/assets/78247585/d1a2bf8b-09f5-4c57-b33a-0ada8a34f12d" width="400">
**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)
*Looking to build a data-focused software product?* **[Book a call](https://calendly.com/zachary-products/15min)** *to work with us.*
## 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
### CLI
```bash
homeharvest "San Francisco, CA" -s zillow realtor.com redfin -l for_rent -o excel -f HomeHarvest
```
This will scrape properties from the specified sites for the given location and listing type, and save the results to an Excel file named `HomeHarvest.xlsx`.
By default:
- If `-s` or `--site_name` is not provided, it will scrape from all available sites.
- If `-l` or `--listing_type` is left blank, the default is `for_sale`. Other options are `for_rent` or `sold`.
- The `-o` or `--output` default format is `excel`. Options are `csv` or `excel`.
- If `-f` or `--filename` is left blank, the default is `HomeHarvest_<current_timestamp>`.
- If `-p` or `--proxy` is not provided, the scraper uses the local IP.
- Use `-k` or `--keep_duplicates` to keep duplicate properties based on address. If not provided, duplicates will be removed.
### Python
```py
from homeharvest import scrape_property
import pandas as pd
properties: pd.DataFrame = scrape_property(
site_name=["zillow", "realtor.com", "redfin"],
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)
```
## 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.
---