Skip to main content

Flipkart_Webscrapping

Project description

Flipkart Mobiles Web Scraping

This project is a web scraping script that extracts information about mobile phones from Flipkart. It retrieves details such as product name, price, offers, reviews, and additional specifications like RAM, ROM, display, rear camera, and battery. The extracted data is stored in a CSV file.

from py_flip_scrap import mobdata
mobdata(upper_range= max_amount_value)

Requirements

  • Python 3.x
  • pandas
  • BeautifulSoup
  • requests

Installation

1.Clone the repository:

git clone https://github.com/Mohshaikh23/Flipkart_Webscrapping.git

2.Install the dependencies

pip install pandas beautifulsoup4 requests

Usage

1.Open a terminal or command prompt.

2.Navigate to the project directory:

    cd flipkart-webscraping

3.Run the app.py script with a specified input value:

python app.py

4.Enter the desired price range for mobile phones when prompted.

5.The script will scrape the Flipkart website, extract the data, and save it in a CSV file named 'mobiles_under_price.csv'.

License

This project is licensed under the MIT License.

Feel free to customize and enhance the README.md file to include any additional information or instructions specific to your project.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

py_scrapo-0.0.1.tar.gz (2.9 kB view hashes)

Uploaded Source

Built Distribution

py_scrapo-0.0.1-py3-none-any.whl (2.7 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page