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amazon-review-analyzer
Advanced tools
Welcome to the Amazon Review Analyzer, a Python program designed to help you make informed decisions about purchasing products on Amazon.
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.
Input the Product Link: When you provide the Amazon product link, the program initiates a web scraping process to extract reviews.
Scraping and Data Storage: The scrapper extracts reviews from the 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
.
User Agent: Replace headers variable in scrapper.py
with your user agent to know what is your user agent simply google my user agent
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.
To use the Amazon Review Analyzer, follow these steps:
Install the amazon_review_analyzer
package:
pip install amazon_review_analyzer
from amazon_review_analyzer import get_sentiment
get_sentiment()
FAQs
Amazon Product Reviews Analyzer
We found that amazon-review-analyzer demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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