170 lines
7.1 KiB
Markdown
170 lines
7.1 KiB
Markdown
<img src="https://github.com/ZacharyHampton/HomeHarvest/assets/78247585/d1a2bf8b-09f5-4c57-b33a-0ada8a34f12d" width="400">
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**HomeHarvest** is a simple, yet comprehensive, real estate scraping library that extracts and formats data in the style of MLS listings.
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[](https://replit.com/@ZacharyHampton/HomeHarvestDemo)
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\
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**Not technical?** Try out the web scraping tool on our site at [tryhomeharvest.com](https://tryhomeharvest.com).
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*Looking to build a data-focused software product?* **[Book a call](https://calendly.com/zachary-products/15min)** *to work with us.*
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Check out another project we wrote: ***[JobSpy](https://github.com/cullenwatson/JobSpy)** – a Python package for job scraping*
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## HomeHarvest Features
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- **Source**: Fetches properties directly from **Realtor.com**.
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- **Data Format**: Structures data to resemble MLS listings.
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- **Export Flexibility**: Options to save as either CSV or Excel.
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- **Usage Modes**:
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- **CLI**: For users who prefer command-line operations.
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- **Python**: For those who'd like to integrate scraping into their Python scripts.
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[Video Guide for HomeHarvest](https://youtu.be/JnV7eR2Ve2o) - _updated for release v0.2.7_
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## Installation
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```bash
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pip install homeharvest
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```
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_Python version >= [3.10](https://www.python.org/downloads/release/python-3100/) required_
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## Usage
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### CLI
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```
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usage: homeharvest [-h] [-l {for_sale,for_rent,sold}] [-o {excel,csv}] [-f FILENAME] [-p PROXY] [-d DAYS] [-r RADIUS] location
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Home Harvest Property Scraper
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positional arguments:
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location Location to scrape (e.g., San Francisco, CA)
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options:
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-l {for_sale,for_rent,sold}, --listing_type {for_sale,for_rent,sold}
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Listing type to scrape
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-o {excel,csv}, --output {excel,csv}
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Output format
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-f FILENAME, --filename FILENAME
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Name of the output file (without extension)
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-p PROXY, --proxy PROXY
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Proxy to use for scraping
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-d DAYS, --days DAYS Sold in last _ days filter.
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-r RADIUS, --radius RADIUS
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Get comparable properties within _ (eg. 0.0) miles. Only applicable for individual addresses.
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```
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```bash
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> homeharvest "San Francisco, CA" -l for_rent -o excel -f HomeHarvest
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```
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### Python
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```py
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from homeharvest import scrape_property
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from datetime import datetime
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# Generate filename based on current timestamp
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current_timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
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filename = f"output/{current_timestamp}.csv"
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properties = scrape_property(
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location="San Diego, CA",
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listing_type="sold", # for_sale, for_rent
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)
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print(f"Number of properties: {len(properties)}")
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properties.to_csv(filename, index=False)
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```
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## Output
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```plaintext
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>>> properties.head()
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MLS MLS # Status Style ... COEDate LotSFApx PrcSqft Stories
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0 SDCA 230018348 SOLD CONDOS ... 2023-10-03 290110 803 2
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1 SDCA 230016614 SOLD TOWNHOMES ... 2023-10-03 None 838 3
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2 SDCA 230016367 SOLD CONDOS ... 2023-10-03 30056 649 1
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3 MRCA NDP2306335 SOLD SINGLE_FAMILY ... 2023-10-03 7519 661 2
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4 SDCA 230014532 SOLD CONDOS ... 2023-10-03 None 752 1
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[5 rows x 22 columns]
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```
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### Parameters for `scrape_property()`
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```
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Required
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├── location (str): address in various formats e.g. just zip, full address, city/state, etc.
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└── listing_type (enum): for_rent, for_sale, sold
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Optional
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├── radius_for_comps (float): Radius in miles to find comparable properties based on individual addresses.
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├── sold_last_x_days (int): Number of past days to filter sold properties.
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├── proxy (str): in format 'http://user:pass@host:port'
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```
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### Property Schema
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```plaintext
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Property
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├── Basic Information:
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│ ├── property_url (str)
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│ ├── mls (str)
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│ ├── mls_id (str)
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│ └── status (str)
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├── Address Details:
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│ ├── street (str)
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│ ├── unit (str)
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│ ├── city (str)
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│ ├── state (str)
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│ └── zip (str)
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├── Property Description:
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│ ├── style (str)
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│ ├── beds (int)
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│ ├── baths_full (int)
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│ ├── baths_half (int)
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│ ├── sqft (int)
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│ ├── lot_sqft (int)
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│ ├── sold_price (int)
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│ ├── year_built (int)
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│ ├── garage (float)
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│ └── stories (int)
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├── Property Listing Details:
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│ ├── list_price (int)
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│ ├── list_date (str)
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│ ├── last_sold_date (str)
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│ ├── prc_sqft (int)
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│ └── hoa_fee (int)
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├── Location Details:
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│ ├── latitude (float)
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│ ├── longitude (float)
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│ └── neighborhoods (str)
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```
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## Supported Countries for Property Scraping
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* **Realtor.com**: mainly from the **US** but also has international listings
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### Exceptions
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The following exceptions may be raised when using HomeHarvest:
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- `InvalidListingType` - valid options: `for_sale`, `for_rent`, `sold`
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- `NoResultsFound` - no properties found from your input
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## Frequently Asked Questions
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---
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**Q: Encountering issues with your searches?**
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**A:** Try to broaden the location. If problems persist, [submit an issue](https://github.com/ZacharyHampton/HomeHarvest/issues).
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---
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**Q: Received a Forbidden 403 response code?**
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**A:** This indicates that you have been blocked by Realtor.com for sending too many requests. We recommend:
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- Waiting a few seconds between requests.
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- Trying a VPN to change your IP address.
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---
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