Track Weekly Australian Rental Listings & Rent Changes
Collect Sydney rental listing changes and advertised rents. Add an Apify schedule for a recurring weekly comparison. Returns up to 25 rows, subject to source availability. No schedule is created.
Input
Output fields
Sign up on Apify or log in
The Realestate.com.au Scraper: Price Drops & Agent Leads Actor is ready to run with the inputs already set for "Track Weekly Australian Rental Listings & Rent Changes". Sign up or log in and you'll land in Apify Console with a copy of this exact task.
Start the "Track Weekly Australian Rental Listings & Rent Changes" task
The Realestate.com.au Scraper: Price Drops & Agent Leads Actor will start running based on the input automatically. You can also change all the input fields, like channel, state, and more, to match your specific use case.
Receive the "Track Weekly Australian Rental Listings & Rent Changes" 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, channel, property type, 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 "Track Weekly Australian Rental Listings & Rent Changes" task via API.

Integrate "Track Weekly Australian Rental Listings & Rent Changes" into your workflow
Connect "Track Weekly Australian Rental Listings & Rent Changes" with 100+ integrations, or run it via API or MCP.
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The weekly-rental-listings-rent-changes-au task returns rental listing addresses, priceDisplay, priceHistory, changeStatus and listingUrl.
The weekly-rental-listings-rent-changes-au task starts with Sydney, NSW, 2000. It returns up to 25 rows; change the public location and filter fields for another search.
The weekly-rental-listings-rent-changes-au task does not create a schedule. Set the cadence in Apify and retain the same search and stateKey for comparisons.
The weekly-rental-listings-rent-changes-au task can run from Apify Console or the task API. Export its dataset as CSV or JSON; configure schedules and integrations separately.