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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 integrations to get seamless 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 propertyDecimalField
longitudelongitude of propertyDecimalField
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 was builtIntField
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 from 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/.