How Web Scraping API Is Used To Extract Real Estate Website Data?
In this blog, we will discuss about scraping real estate data using Python and creating dataset as per the requirement. For example, here we will extract real estate information of New York City. The website's information is not permanently contained inside the HTML code but is dynamically produced by issuing a POST request to Realtor.com's API . The reply to the request will then returns the data from the website in the form of JSON formatted strings. As a result, your goal is to "fake" the POST request in your Python script, claiming to be the Website requesting data from the API. If you tap on the delete icon in the left upper corner beside the red sign to remove the request log and then browse down to the bottom of the webpage to click on "Next," we will see a POST Request issued to the Website's API on top. When you click on the “Response” tab, you will check that the reply to the request will be data extracted from the real estate listings vi...