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.

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Requirements

• BeautifulSoup
• Pandas

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How To install

pip install pandas

pip install beautifulsoup

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• 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.

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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

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Author

Himanshi2997

Output