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Central Florida Rent per Square Foot Tracker: Price Signals

Central Florida rent per square foot, tracked from a live Propertyware listings page. Each row combines monthly rent, square footage, rent per square foot, and listing freshness, so landlords, investors, and analysts can spot underpriced and overpriced homes. Run it on a schedule to watch rent signals move over time.

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Propertyware rental listings monitor: changes, rent, and leads
Propertyware rental listings monitor: changes, rent, and leadsgetascraper/propertyware-rentals-monitor
Listing id
Monthly rent
Rent per square foot
Availability date
+2 fields
Text
Number
Boolean
List
Object

Input

Public Propertyware rental pages(required)
url:https://floridacontact.propertyware.com/rentals.html
Maximum listings:10

Output fields

Listing id
Monthly rent
Rent per square foot
Availability date
Days until available
Rent delta amount

How it works

Sign up on Apify or log in

The Propertyware rental listings monitor: changes, rent, and leads Actor is ready to run with the inputs already set for "Central Florida Rent per Square Foot Tracker: Price Signals". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Central Florida Rent per Square Foot Tracker: Price Signals" task

The Propertyware rental listings monitor: changes, rent, and leads Actor will start running based on the input automatically. You can also change all the input fields, like public propertyware rental pages and maximum listings, to match your specific use case.

Receive the "Central Florida Rent per Square Foot Tracker: Price Signals" 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 listing id, monthly rent, rent per square foot, 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 "Central Florida Rent per Square Foot Tracker: Price Signals" task via API.

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