varinder-km / critic_crawler

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Welcome to CriticCrawler! This project is designed to make it easy for users to fetch product reviews from the popular e-commerce website, Flipkart. By simply providing the name of a product as input, you can retrieve a comprehensive list of reviews related to that product. Additionally, this project incorporates sentiment analysis to help you gain insights into the overall sentiment expressed in the reviews.

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Main Features:

• Web Scraping: Utilizing web scraping technology, this project fetches product reviews from Flipkart by leveraging the provided product name.
• Review Extraction: It extracts a wide range of information from the reviews, including the reviewer's name, rating, date, and the text of the review itself.
• CSV Export: The project provides the option to export the collected reviews in CSV format. This allows for convenient analysis and further processing of the data.
• Sentiment Analysis: By employing sentiment analysis techniques, the project evaluates the sentiment expressed in each review, providing a deeper understanding of customer opinions.

Installation:

1. After downloading the project open it in VSCode and create a virtual environment.

   python -m venv venv

2. Activate the enviroment.

   venv/Scripts/Activate.ps1

3. Install all the required packages

   pip install -r requirements.txt

4. Run the project

   flask run

How to Use:

• Installation: Follow the installation instructions outlined in the README file to set up the project environment and install the necessary dependencies.
• Input: Provide the name of the product you wish to fetch reviews for.
• Execution: Run the project, and it will initiate the web scraping process, fetching the reviews from Flipkart.
• CSV Export: Once the reviews are collected, you will have the option to download them in CSV format for further analysis.
• Sentiment Analysis: The project automatically performs sentiment analysis on the collected reviews, categorizing them as positive, negative, or neutral.

Please note that this project is specifically tailored to work with Flipkart's website structure and may have limitations when scraping data from other websites. However, it offers a convenient solution for extracting product reviews, analyzing sentiment, and gaining valuable insights into customer feedback.

We hope you find CriticCrawler useful and that it simplifies your research and analysis of product reviews from Flipkart. Feel free to provide feedback, report any issues.