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README.md
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# HomeHarvest # HomeHarvest
**HomeHarvest** aims to be the top Python real estate scraping library. **HomeHarvest** is a simple but comprehensive real estate scraping library.
_**Under Consideration**: We're looking into the possibility of an Excel plugin to cater to a broader audience._
[![Try with Replit](https://replit.com/badge?caption=Try%20with%20Replit)](https://replit.com/@ZacharyHampton/HomeHarvestDemo) [![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
- Proxy support (HTTP/S, SOCKS)
## Installation ## Installation
```bash ```bash
pip install --upgrade homeharvest pip install --upgrade homeharvest
``` ```
_Python version >= [3.10](https://www.python.org/downloads/release/python-3100/) required_
## Example Usage
## Usage
```py ```py
>>> from homeharvest import scrape_property from homeharvest import scrape_property
... properties = scrape_property( import pandas as pd
... location="85281", site_name="zillow", listing_type="for_rent"
... )
properties: pd.DataFrame = scrape_property(
site_name=["zillow", "realtor.com", "redfin"],
location="85281",
listing_type="for_rent" # for_sale / sold
# use if you want to use a proxy (3 types)
# proxy="socks5://homeharvest:5a4vpWtj8EeJ2hoYzk@us.smartproxy.com:20001",
# proxy="http://homeharvest:5a4vpWtj8EeJ2hoYzk@us.smartproxy.com:20001",
# proxy="https://homeharvest:5a4vpWtj8EeJ2hoYzk@us.smartproxy.com:20001",
)
#1 output to .csv (simplest, then use Excel)
properties.to_csv('props.csv', index=False)
#2 display in Jupyter Notebook (1. pip install jupyter 2. jupyter notebook)
# formatting for pandas
#pd.set_option('display.max_columns', None)
#pd.set_option('display.max_rows', None)
#pd.set_option('display.width', None)
#pd.set_option('display.max_colwidth', 50) # set to 0 to see full property_url / descr
#display(properties)
#3 output to console
#print(properties)
```
## Output
```py
>>> properties.head() >>> properties.head()
address_one city ... mls_id description street city ... mls_id description
0 420 N Scottsdale Rd Tempe ... NaN NaN 0 420 N Scottsdale Rd Tempe ... NaN NaN
1 1255 E University Dr Tempe ... NaN NaN 1 1255 E University Dr Tempe ... NaN NaN
2 1979 E Rio Salado Pkwy Tempe ... NaN NaN 2 1979 E Rio Salado Pkwy Tempe ... NaN NaN
@ -29,14 +66,96 @@ pip install --upgrade homeharvest
[5 rows x 23 columns] [5 rows x 23 columns]
``` ```
### Site Name Options ### 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]
```
- `zillow` ### Property Schema
- `redfin` ```plaintext
- `realtor.com` Property
├── Basic Information:
│ ├── property_url (str)
│ ├── site_name (enum): zillow, redfin, realtor.com
│ ├── listing_type (enum: ListingType)
│ └── property_type (enum): house, apartment, condo, townhouse, single_family, multi_family, building
### Listing Types ├── Address Details:
│ ├── street_address (str)
│ ├── city (str)
│ ├── state (str)
│ ├── zip_code (str)
│ ├── unit (str)
│ └── country (str)
├── Property Features:
│ ├── price (int)
│ ├── tax_assessed_value (int)
│ ├── currency (str)
│ ├── square_feet (int)
│ ├── beds (int)
│ ├── baths (float)
│ ├── lot_area_value (float)
│ ├── lot_area_unit (str)
│ ├── stories (int)
│ └── year_built (int)
├── Miscellaneous Details:
│ ├── price_per_sqft (int)
│ ├── mls_id (str)
│ ├── agent_name (str)
│ ├── img_src (str)
│ ├── description (str)
│ ├── status_text (str)
│ ├── latitude (float)
│ ├── longitude (float)
│ └── posted_time (str)
├── Building Details (for property_type: building):
│ ├── bldg_name (str)
│ ├── bldg_unit_count (int)
│ ├── bldg_min_beds (int)
│ ├── bldg_min_baths (float)
│ └── bldg_min_area (int)
└── Apartment Details (for property type: apartment):
└── apt_min_price (int)
```
## 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 create geo-coordinates from the locaion you input
## Frequently Asked Questions
---
**Q: Encountering issues with your queries?**
**A:** Try a single site and/or broadening 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 or proxy to change your IP address.
---
- `for_rent`
- `for_sale`
- `sold`

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@ -2,7 +2,7 @@ import re
import json import json
from .. import Scraper from .. import Scraper
from ....utils import parse_address_two, parse_unit from ....utils import parse_address_two, parse_unit
from ....exceptions import NoResultsFound, PropertyNotFound from ....exceptions import GeoCoordsNotFound
from ..models import Property, Address, ListingType, PropertyType, SiteName from ..models import Property, Address, ListingType, PropertyType, SiteName
@ -45,7 +45,7 @@ class ZillowScraper(Scraper):
return self._fetch_properties_backend(coords) return self._fetch_properties_backend(coords)
else: else:
raise BoxBoundsNotFound("Box bounds could not be located.") raise GeoCoordsNotFound("Box bounds could not be located.")
elif "gdpClientCache" in data["props"]["pageProps"]: elif "gdpClientCache" in data["props"]["pageProps"]:
gdp_client_cache = json.loads(data["props"]["pageProps"]["gdpClientCache"]) gdp_client_cache = json.loads(data["props"]["pageProps"]["gdpClientCache"])
@ -55,7 +55,7 @@ class ZillowScraper(Scraper):
property = self._get_single_property_page(property_data) property = self._get_single_property_page(property_data)
return [property] return [property]
raise PropertyNotFound("Specific property data not found in the response.") raise NoResultsFound("Specific property data not found in the response.")
def _fetch_properties_backend(self, coords): def _fetch_properties_backend(self, coords):
url = "https://www.zillow.com/async-create-search-page-state" url = "https://www.zillow.com/async-create-search-page-state"

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@ -10,9 +10,5 @@ class NoResultsFound(Exception):
"""Raised when no results are found for the given location""" """Raised when no results are found for the given location"""
class PropertyNotFound(Exception): class GeoCoordsNotFound(Exception):
"""Raised when no property is found for the given address"""
class BoxBoundsNotFound(Exception):
"""Raised when no property is found for the given address""" """Raised when no property is found for the given address"""

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[tool.poetry] [tool.poetry]
name = "homeharvest" name = "homeharvest"
version = "0.1.4" version = "0.2.0"
description = "Real estate scraping library" description = "Real estate scraping library"
authors = ["Zachary Hampton <zachary@zacharysproducts.com>", "Cullen Watson <cullen@cullen.ai>"] authors = ["Zachary Hampton <zachary@zacharysproducts.com>", "Cullen Watson <cullen@cullen.ai>"]
homepage = "https://github.com/ZacharyHampton/HomeHarvest" homepage = "https://github.com/ZacharyHampton/HomeHarvest"