Amazing-Python-Scripts

Real Estate Webscrapper

• It will take information from the real estate site and store it in the form of csv file making the data more organised and locally accessible.

Requirements

• BeautifulSoup
• Pandas

How To install

pip install pandas

pip install beautifulsoup

• Now run the real_estate_webscrapper.py file to create the output2.csv file.
• Then output2.csv will be created in the same folder as real_estate_webscrapper.py file and it can be opened using Microsoft Excel.

Step 1

• Load the website https://www.magicbricks.com/ready-to-move-flats-in-new-delhi-pppfs in your code using requests.

Step 2

• Use inspect in website to know which div contains the information that we need
• Use beautiful soup to load the information in program and store it into a dictionary for each property

Step 3

• Use pandas to convert the list of dictionaries to csv file

Author

Himanshi2997

Output