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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

  1. Log in to your ScrapeHero Cloud account.
  2. Navigate to the Realtor Scraper App in the Scrapehero App store.
  3. Click on "Create New Project".
  4. 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.
  5. Copy the listing URL into the Input field of this crawler.
  6. Specify the number of the data records you want to gather from the project run.
  7. Click "Gather Data" to begin the data extraction process.
  8. 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 NameDescriptionData Type
property_idid of the propertyTextField()
addressaddress of propertyTextField()
pricelisting priceTextField()
bathroomsnumber of bathroomsTextField()
bedroomsnumber of bedroomsTextField()
areaarea of propertyTextField()
listing_typelisting type of propertyTextField()
broker_namename of the brokerTextField()
property_urlproperty urlTextField()
inputinput provided by userTextField()
listing_urlproperty listed urlTextField()
latitudelatitude of property= imalField()
longitudelongitude of property= imalField()
primary_imageprimary image of propertyTextField()
imagesimage list of the propertyJSONField()
property_featuresfeatures of the propertyJSONField()
sold_datedate at which property is soldTextField()
sold_priceprice at which property is soldIntField()
date_posteddate on which property is listedTextField()
statusproperty statusTextField()
year_builtyear property is built onIntField()
listing_idlisting id for the propertyTextField()

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

  • 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/.