An open API service indexing awesome lists of open source software.

https://github.com/rohii1515/flipkart-review-scraper

FlipKart-Review-Scraper is a powerful web scraping tool designed to extract and analyze customer reviews and ratings from Flipkart.
https://github.com/rohii1515/flipkart-review-scraper

beautifulsoup4 flask flask-application python3 requests-library-python

Last synced: 8 months ago
JSON representation

FlipKart-Review-Scraper is a powerful web scraping tool designed to extract and analyze customer reviews and ratings from Flipkart.

Awesome Lists containing this project

README

          


Project Logo

# FlipKart Review Scraper

[![License](https://img.shields.io/badge/License-MIT-blue.svg)](LICENSE)
[![GitHub Stars](https://img.shields.io/github/stars/Rohii1515/FlipKart-Review-Scraper)](https://github.com/Rohii1515/FlipKart-Review-Scraper/stargazers)
[![GitHub Forks](https://img.shields.io/github/forks/Rohii1515/FlipKart-Review-Scraper)](https://github.comRohii1515/FlipKart-Review-Scraper/network/members)
[![GitHub Issues](https://img.shields.io/github/issues/Rohii1515/FlipKart-Review-Scraper)](https://github.com/Rohii1515/FlipKart-Review-Scraper/issues)

**FlipKart Review Scraper** is a Python web application built with Flask that allows you to scrape product reviews from Flipkart and display them to users on the web. It's a handy tool for gathering valuable insights from the vast repository of reviews on Flipkart.

![Demo](demo.gif)

## Features

- **Easy-to-Use**: A simple and user-friendly web interface for scraping reviews.
- **Customizable**: Customize the scraping parameters to target specific products or categories.
- **Real-time Updates**: Get real-time updates on the scraping process.
- **Responsive Design**: Works smoothly on both desktop and mobile devices.
- **Error Handling**: Robust error handling to ensure a smooth user experience.

## Usage

1. Clone the repository:

```bash
git clone https://github.com/Rohii1515/flipkart-review-scraper.git
cd flipkart-review-scraper

2. Install the dependencies:
```
pip install -r requirements.txt
```
3. Run Flask App:
```
python application.py
```