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Web Scrapping Project

This repository contains a web scraping project that utilizes BeautifulSoup to extract data. The repository includes the following key files:

Files

• housing_dta_scrapping.py: This script is intended for scraping housing data from the web using BeautifulSoup.
• houses_for_sale_US.csv: This CSV file contains data of houses for sale in the US, including details such as link, address, dealer, price, beds, baths, and area.

Project Description

This project demonstrates how to scrape web data using BeautifulSoup in Python. The primary focus is on extracting real estate data and saving it in a structured format for further analysis.

Requirements

• Python 3.x
• BeautifulSoup
• Requests

Usage

1. Clone the repository:

   git clone https://github.com/codehard8/Web-Scrapping.git
   cd Web-Scrapping

2. Install the required packages:

   pip install -r requirements.txt

3. Run the scraping script (assuming the script name is housing_dta_scrapping.py):

   python housing_dta_scrapping.py

4. The results will be saved in houses_for_sale_US.csv.

Data Fields in houses_for_sale_US.csv

• link: URL of the house listing.
• address: Physical address of the house.
• dealer: Real estate dealer or agent.
• price: Listing price of the house.
• beds: Number of bedrooms.
• baths: Number of bathrooms.
• area: Area of the house in square feet.

License

This project is licensed under the MIT License.

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