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Historical tracking of Zillow property listings
Created by
Goutam Soni
Actor
Zillow Scraper
Run on a schedule and keep each dated dataset to build a history of how Zillow property listings change over time. Configured with price (high to low), a cap
Zillow Scrapergoat255/zillow-scraper
Type
Status
Price
Beds
+10 fieldsTextNumberBooleanListObject
Input
Location searches:Austin, TX
Property URLs or IDs
Max items per source:250
Output fields
Type
Status
Price
Beds
Baths
Area
Home type
Address
City
State
Zip
Latitude
Longitude
URL
Sign up on Apify01
Create your Apify account to access the Zillow Scraper.
Start the run02
The Actor will start running based on the input automatically.
Receive the output03
Monitor the progress in real-time. You will be notified as soon as your dataset is complete and ready for review.
Integrate into your workflow04
The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow.
