Building a Real Estate Dataset from Houozz.in via Web Scraping

March 17, 2024
Client: Pathum
Category: Web-Scraping
Budget: 180.00

Project Overview

Project main screenshot

I delivered a comprehensive real estate dataset extracted from Houozz.in, enabling the client to conduct in-depth market analysis. This involved developing a web scraper to gather specific data points, such as [ property listings, prices, locations, amenities], and organizing them into a structured format. This dataset serves as a valuable resource for identifying trends, patterns, and insights within the Houozz.in real estate market, supporting data-driven research and strategic decision-making.

Technologies Used

For this project, I leveraged the following technologies and tools:

python JavaScript HTML/CSS Selenium Beautiful Soup

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