Flipkart-Web-Scraper-using-Flask

Basic Principle/Architechture

This project is basically works on accumulating data of a particular product(Iphone 14, Macbook air) by scraping data from Flipkat website and showing the data on our website. In this project we have scraped the review of a particular product from flipkart so that we can analyse the reviews(containing the name of the user, rating, comments & description) to get sentiment of the user, so that the business will take decisions with the help of these scraped data.

Tool Used: Python, Flask, BS4, BeutifulSoup, Requests module, Pandas, Matplotlib, MongoDB, HTML, CSS etc.

Step-1: Creating Virtual Environment

Use the command: python -m venv "env-name you want to set" Example: python -m venv myenv

Step-2: Changing directory

Use the command: cd "project directory name" Example: cd LMS

Step3: Installing requirements.txt

Use this command: pip install -r requirements.txt

Step-4: Run the flask server

Example: Run with the coderunner in case of you are using VS Code

--> Please check the server which is running in console is localhost:5000 or not

--> Go to any browser and search for: http://localhost:5000

Error/Issues

It might be possible that some packages/libraries will not be installed by commanding 'pip install -r requirements.txt'. In that case you will install the modules/packages manually

Example:

1. pymongo = pip install pymongo
2. BS4 = pip install bs4
3. flask = pip install flask
4. requests = pip install requests