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Web-Scraping-and-Modelling-Property-Valuation

Project to learn web scraping using BeautifulSoup to build a real estate dataset

Steps:

  1. Scrape data from realestate.com.au (current property listings) and onthehouse (sales history)
  2. Build property dataset and potentially incorporate data from other sources such as ABS Census
  3. Build a property value prediction and forecasting model
  4. Build app/tool to allow user to decide where is best to buy depending on current price compared with similar properties, price trends etc.

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Project to learn web scraping by using Selenium and BeautifulSoup to build a real estate dataset

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