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Export OnTheHouse Property & Valuation Data to CSV/Sheets

A flat, export-ready dataset of sold properties with valuations, sale dates and land sizes; export to CSV, Excel or Sheets.

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OnTheHouse.com.au Scraper: Sold History & Valuations
OnTheHouse.com.au Scraper: Sold History & Valuationskotaro001/onthehouse-com-au-scraper
Listing ID
Channel
Property type
Full address
+19 fields
Text
Number
Boolean
List
Object

Input

Channel:sold
State:QLD
Suburb:Golden Beach
Postcode:4551
Include detail pages:false
Max listings:25

Output fields

Listing ID
Channel
Property type
Full address
Suburb
State
Postcode
Price display
Price (number)
Sold date
Estimate value
Change status
Days on market
Bedrooms
Bathrooms
Car spaces
Land size (sqm)
Agent
Agent phone
Agency
Suburb median value
Suburb rental yield %
Listing URL

How it works

Sign up on Apify or log in

The OnTheHouse.com.au Scraper: Sold History & Valuations Actor is ready to run with the inputs already set for "Export OnTheHouse Property & Valuation Data to CSV/Sheets". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Export OnTheHouse Property & Valuation Data to CSV/Sheets" task

The OnTheHouse.com.au Scraper: Sold History & Valuations 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 "Export OnTheHouse Property & Valuation Data to CSV/Sheets" 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 "Export OnTheHouse Property & Valuation Data to CSV/Sheets" task via API.

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Integrate "Export OnTheHouse Property & Valuation Data to CSV/Sheets" into your workflow

Connect "Export OnTheHouse Property & Valuation Data to CSV/Sheets" with 100+ integrations, or run it via API or MCP.

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Frequently asked questions

Open the run dataset and choose CSV, Excel or JSON.

Use the Apify Google Sheets integration on the dataset.

Yes, the overview view shows 23 flat columns; no JSON parsing needed.

Yes, save the task and add a weekly schedule.