Connect Realestate.com.au Live Property Data to AI Agents
Expose a bounded Bondi Beach property search to an AI workflow through the saved task API or Apify MCP. 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 "Connect Realestate.com.au Live Property Data to AI Agents". Sign up or log in and you'll land in Apify Console with a copy of this exact task.
Start the "Connect Realestate.com.au Live Property Data to AI Agents" 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 "Connect Realestate.com.au Live Property Data to AI Agents" 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 "Connect Realestate.com.au Live Property Data to AI Agents" task via API.
Integrate "Connect Realestate.com.au Live Property Data to AI Agents" into your workflow
Connect "Connect Realestate.com.au Live Property Data to AI Agents" with 100+ integrations, or run it via API or MCP.
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The realestate-au-mcp-ai-agent-data-feed task returns structured listing records from the selected property search, up to 25 per run.
The realestate-au-mcp-ai-agent-data-feed task starts with Bondi Beach, NSW, 2026. It returns up to 25 rows; change the public location and filter fields for another search.
The realestate-au-mcp-ai-agent-data-feed task is as fresh as its latest run, not a streaming feed. MCP or API clients need their own Apify access.
The realestate-au-mcp-ai-agent-data-feed task can run from Apify Console or the task API. Export its dataset as CSV or JSON; configure schedules and integrations separately.