Review Scraper

This project is a review scraper that fetches reviews of a product from Flipkart, performs sentiment analysis using TextBlob, and stores the results in CSV file and MongoDB.

Features

• Fetches reviews of a product from Flipkart
• Performs sentiment analysis using TextBlob
• Stores the results in CSV format
• Stores the results in MongoDB

Prerequisites

Before running the project, make sure you have the following installed:

• beautifulsoup4==4.9.1
• bs4==0.0.1
• Flask==1.1.2
• Flask-Cors==3.0.9
• urllib3==1.25.10
• pymongo
• csv
• textblob

Installation

1. Clone the repository:

git clone https://github.com/Pratik94229/Product_review_scrapper.git

2. Install the required dependencies:

pip install -r requirements.txt

Usage

1. Run the Flask application:

python application.py

2. Access the application in your web browser at http://localhost:8000.

3. Enter the product name in the search field and submit the form.

4. The application will fetch reviews for the specified product, perform sentiment analysis, and store the results in a CSV file and MongoDB.

Folder Structure

The project has the following folder structure:

review-scraper/ ├── application.py ├── templates/ │ ├── index.html │ └── results.html ├── static/ │ ├── css/ |--main.css │ │ └── style.css │ └── js/ │ └── script.js └── README.md

markdown

• application.py: The main Flask application file.
• templates/: Directory containing HTML templates.
• templates/index.html: Home page template with the search form.
• templates/results.html: Results page template displaying the reviews and sentiment analysis.
• static/: Directory containing static assets like CSS and JavaScript files.
• static/css/style.css: CSS file for styling the HTML templates.
• static/js/script.js: JavaScript file for any client-side scripting.
• README.md: This README file.