Realtor Scraper
Overview
Scrape real estate listings from Realtor.com to gather detailed property information, including the address, broker name, price, and additional relevant data from the Realtor property listing page. This tool offers a comprehensive view of each property, enabling users to efficiently analyze and compare listings.
How to Use
- Log in to your ScrapeHero Cloud account.
- Navigate to the Realtor Scraper App in the Scrapehero App store.
- Click on "Create New Project".
- Go to https://www.realtor.com/ and search for property listings in any US state. for example:- Las Vegas, NV Real Estate & Homes for Sale.
- Copy the listing URL into the Input field of this crawler.
- Specify the number of the data records you want to gather from the project run.
- Click "Gather Data" to begin the data extraction process.
- Once complete, download your data in your preferred format (CSV, JSON, or Excel) or connect any of the available integration to get seemless access to the scraped data.
Data Schema
The Realtor Scraper App provides the following data fields:
Field Name | Description | Data Type |
---|---|---|
property_id | id of the property | TextField() |
address | address of property | TextField() |
price | listing price | TextField() |
bathrooms | number of bathrooms | TextField() |
bedrooms | number of bedrooms | TextField() |
area | area of property | TextField() |
listing_type | listing type of property | TextField() |
broker_name | name of the broker | TextField() |
property_url | property url | TextField() |
input | input provided by user | TextField() |
listing_url | property listed url | TextField() |
latitude | latitude of property | = imalField() |
longitude | longitude of property | = imalField() |
primary_image | primary image of property | TextField() |
images | image list of the property | JSONField() |
property_features | features of the property | JSONField() |
sold_date | date at which property is sold | TextField() |
sold_price | price at which property is sold | IntField() |
date_posted | date on which property is listed | TextField() |
status | property status | TextField() |
year_built | year property is built on | IntField() |
listing_id | listing id for the property | TextField() |
Sample Data Record
Here's an example of a typical data record returned by this scraper:
This scraper uses 1 data credit
per data record. Learn more about data credits.
{
"address": "74 Pristine Glen St, Las Vegas, NV 89135",
"area": "3,776 sqft | 7,405 sqft lot",
"bathrooms": "4.5",
"bedrooms": "4",
"broker_name": "Simply Vegas",
"date_posted": "2024-08-13",
"images": [
"https://ap.rdcpix.com/119418123be030259538e17800fb07a3l-m931920372od.jpg",
"https://ap.rdcpix.com/119418123be030259538e17800fb07a3l-m4019099616od.jpg"
],
"input": "https://www.realtor.com/realestateandhomes-search/Las-Vegas_NV",
"latitude": 36.111969,
"listing_id": "2970674160",
"listing_type": "House",
"listing_url": "https://www.realtor.com/realestateandhomes-search/Las-Vegas_NV",
"longitude": -115.333837,
"price": "$2,400,000",
"primary_image": "https://ap.rdcpix.com/119418123be030259538e17800fb07a3l-m931920372od.jpg",
"property_features": {
"baths_consolidated": "4.5",
"baths_max": null,
"baths_min": null,
"beds": 4,
"beds_max": null,
"beds_min": null,
"lot_sqft": 7405,
"name": null,
"sold_date": null,
"sold_price": null,
"sqft": 3776,
"sqft_max": null,
"sqft_min": null,
"sub_type": null,
"type": "single_family"
},
"property_id": "1477481035",
"property_url": "https://www.realtor.com/realestateandhomes-detail/74-Pristine-Glen-St_Las-Vegas_NV_89135_M14774-81035",
"sold_date": null,
"sold_price": null,
"status": "for sale",
"year_built": null
}
Features
- Comprehensive Data Extraction from Realtor.
- Real-time scraping of up-to-date information.
- Bulk scraping capabilities for multiple listing url for different properties.
- Data export in multiple formats (CSV, JSON, Excel).
Learn More: _For detailed information on using the Realtor Scraper and its different use cases, read our guide: How to Scrape Realtor
Related Scrapers
- Zillow Scraper: Extracts detailed property information from Zillow listings
- Homes com Scraper: Extracts detailed property information from homes.com listings
Support
If you encounter any issues or have questions, please contact our support team at cloud-support@scrapehero.com or browse our help center at https://app.scrapehero.com/docs/.