# Amazon Review Analyzer
Welcome to the Amazon Review Analyzer, a Python program designed to help you make informed decisions about purchasing products on Amazon.
## Overview
This program takes an Amazon product link as input and analyzes the reviews, providing insights into whether the product is a good buy. However, the ultimate decision to purchase rests entirely with you.
## How It Works
1. **Input the Product Link:** When you provide the Amazon product link, the program initiates a web scraping process to extract reviews.
2. **Scraping and Data Storage:** The scrapper extracts reviews from the [amazon.in/product-reviews/asin](amazon.in/product-reviews/asin) page. The unique ASIN (Amazon Standard Identification Number) is extracted from the link using Python's regular expressions. Due to pagination, the program iterates through the pages, storing the reviews in a CSV file named `reviews.csv`.
3. **User Agent:** Replace **headers** variable in `scrapper.py` with your user agent to know what is your user agent simply google **my user agent**
4. **Sentiment Analysis:** The program uses the `vaderSentiment` Python package to analyze the tone of the reviews. Additionally, the `demoji` package is employed to handle emojis present in the reviews.
## Run the Amazon Review Analyzer
To use the Amazon Review Analyzer, follow these steps:
1. Install the `amazon_review_analyzer` package:
```bash
pip install amazon_review_analyzer
2. ```bash
from amazon_review_analyzer import get_sentiment
# The following code prompts the user to enter an Amazon URL in the terminal
# and displays the sentiment analysis results.
3. ```bash
get_sentiment()
Raw data
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