188 lines
6.0 KiB
Markdown
188 lines
6.0 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 real estate scraping library that extracts and formats data in the style of MLS listings.
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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://bunsly.com)** *to work with us.*
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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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[Video Guide for HomeHarvest](https://youtu.be/J1qgNPgmSLI) - _updated for release v0.3.4_
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## Installation
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```bash
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pip install -U homeharvest
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```
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_Python version >= [3.9](https://www.python.org/downloads/release/python-3100/) required_
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## Usage
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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"HomeHarvest_{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", # or (for_sale, for_rent, pending)
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past_days=30, # sold in last 30 days - listed in last 30 days if (for_sale, for_rent)
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# date_from="2023-05-01", # alternative to past_days
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# date_to="2023-05-28",
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# foreclosure=True
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# mls_only=True, # only fetch MLS listings
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)
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print(f"Number of properties: {len(properties)}")
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# Export to csv
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properties.to_csv(filename, index=False)
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print(properties.head())
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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): The address in various formats - this could be just a zip code, a full address, or city/state, etc.
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├── listing_type (option): Choose the type of listing.
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- 'for_rent'
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- 'for_sale'
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- 'sold'
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- 'pending' (for pending/contingent sales)
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Optional
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├── property_type (list): Choose the type of properties.
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- 'single_family'
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- 'multi_family'
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- 'condos'
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- 'condo_townhome_rowhome_coop'
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- 'condo_townhome'
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- 'townhomes'
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- 'duplex_triplex'
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- 'farm'
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- 'land'
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- 'mobile'
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├── radius (decimal): Radius in miles to find comparable properties based on individual addresses.
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│ Example: 5.5 (fetches properties within a 5.5-mile radius if location is set to a specific address; otherwise, ignored)
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│
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├── 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).
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│ Example: 30 (fetches properties listed/sold in the last 30 days)
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│
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├── date_from, date_to (string): Start and end dates to filter properties listed or sold, both dates are required.
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| (use this to get properties in chunks as there's a 10k result limit)
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│ Format for both must be "YYYY-MM-DD".
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│ Example: "2023-05-01", "2023-05-15" (fetches properties listed/sold between these dates)
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│
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├── mls_only (True/False): If set, fetches only MLS listings (mainly applicable to 'sold' listings)
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│
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├── foreclosure (True/False): If set, fetches only foreclosures
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│
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├── proxy (string): In format 'http://user:pass@host:port'
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│
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├── extra_property_data (True/False): Increases requests by O(n). If set, this fetches additional property data for general searches (e.g. schools, tax appraisals etc.)
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│
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├── exclude_pending (True/False): If set, excludes 'pending' properties from the 'for_sale' results unless listing_type is 'pending'
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│
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└── limit (integer): Limit the number of properties to fetch. Max & default is 10000.
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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
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│ ├── property_id
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│ ├── listing_id
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│ ├── mls
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│ ├── mls_id
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│ └── status
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├── Address Details:
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│ ├── street
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│ ├── unit
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│ ├── city
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│ ├── state
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│ └── zip_code
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├── Property Description:
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│ ├── style
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│ ├── beds
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│ ├── full_baths
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│ ├── half_baths
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│ ├── sqft
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│ ├── year_built
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│ ├── stories
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│ ├── garage
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│ └── lot_sqft
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├── Property Listing Details:
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│ ├── days_on_mls
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│ ├── list_price
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│ ├── list_price_min
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│ ├── list_price_max
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│ ├── list_date
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│ ├── pending_date
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│ ├── sold_price
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│ ├── last_sold_date
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│ ├── price_per_sqft
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│ ├── new_construction
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│ └── hoa_fee
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├── Location Details:
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│ ├── latitude
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│ ├── longitude
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│ ├── nearby_schools
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├── Agent Info:
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│ ├── agent_id
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│ ├── agent_name
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│ ├── agent_email
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│ └── agent_phone
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├── Broker Info:
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│ ├── broker_id
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│ └── broker_name
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├── Builder Info:
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│ ├── builder_id
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│ └── builder_name
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├── Office Info:
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│ ├── office_id
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│ ├── office_name
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│ ├── office_phones
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│ └── office_email
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```
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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`, `pending`.
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- `InvalidDate` - date_from or date_to is not in the format YYYY-MM-DD.
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- `AuthenticationError` - Realtor.com token request failed.
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