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Sold Realtor.com Property Listings

Extract Realtor.com Property Listings data filtered by Sold. Export structured results ready for analysis, lead generation, or research.

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Realtor.com Property Listings Scraper
Realtor.com Property Listings Scraperparseforge/realtor-com-scraper
Image
Status
List Price
Price/Sqft (Source)
+30 fields
Text
Number
Boolean
List
Object

Input

Mode:SOLD
Realtor.com property URLs:https://www.realtor.com/realestateandhomes-search/Los-Angeles_CA
Maximum properties:10
Include Details:true
Max Concurrency:10

Output fields

Image
Status
List Price
Price/Sqft (Source)
Price/Sqft (Calc)
Address
City
State
ZIP
Beds
Baths
Sqft
Lot Sqft
Year Built
Listing Age (Days)
Property Type
Agent Name
Office Name
Has Virtual Tour
Has Open House
Has History
Has Tax History
Has Nearby Schools
Avg School Rating
Latest Tax Year
Latest Tax Amount
Street View URL
URL
List Date
Sold On
Sold Date
Last Update Date
Scraped At
Error

How it works

Sign up on Apify or log in

The Realtor.com Property Listings Scraper Actor is ready to run with the inputs already set for "Sold Realtor.com Property Listings". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Sold Realtor.com Property Listings" task

The Realtor.com Property Listings Scraper Actor will start running based on the input automatically. You can also change all the input fields, like mode, realtor.com property urls, and more, to match your specific use case.

Receive the "Sold Realtor.com Property Listings" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as image, status, list price, and more.

Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Sold Realtor.com Property Listings" task via API.

Image

Integrate "Sold Realtor.com Property Listings" into your workflow

Connect "Sold Realtor.com Property Listings" with 100+ integrations, or run it via API or MCP.

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