Amazon Reviews Scraper & Visualizer

Hello praveensingh0707 , We would like to grab this opportunity and will work till you get 100% satisfied with our work. We are an expert team which have many years of experience on Job Skills. Please come over chat and discuss your requirement in a detailed way. Thank You

I am a Python developer with experience in web scraping, sentiment analysis, and data visualization. I can create an Amazon reviews scraping tool that will allow you to compare two products based on key aspects like Rating, Sentiment (positive/negative), and Keywords used in reviews. Key Features of the Project: Comparison Based on Ratings: Extract and compare average ratings for both products. Sentiment Analysis: Perform sentiment analysis on the reviews to determine whether the sentiments are positive or negative. Keyword Tracking: Identify and compare the frequency of keywords used in the reviews. Technologies & Libraries: Web Scraping: BeautifulSoup, Scrapy, or Selenium Sentiment Analysis: TextBlob, Vader, or Hugging Face transformers Data Visualization: Matplotlib, Seaborn, or Plotly Python: Proficient with Python programming and libraries used for data analysis. Looking forward to collaborating with you.

Hello! I am an experienced Python developer with expertise in web scraping and data analysis. I can create a robust, user-friendly script to scrape Amazon product reviews, analyze sentiment, compare ratings, and track keywords. I'll ensure clear visualization of insights with charts/graphs and provide documentation for easy reuse. Let’s discuss your requirements further to deliver the best results for your project. Looking forward to collaborating!

Hi there, I am an experienced python programmer and also a python developer. I will show you some sample of my work. Please massage me to discuss more.

Im a passionate data scientist with a strong foundation in computer engineering. My expertise in Python and recent focus on data science make me an ideal candidate for creating an Amazon reviews scraper tailored to your requirements.

Proposal: Amazon Reviews Scraper with Comparison and Visualization I am excited to submit my proposal for your Amazon reviews scraping project. With a strong background in Python development, web scraping, and data analysis, I am confident in delivering a robust solution that meets your requirements. Approach to the Project 1. Scraper Development: Build a Python-based scraper using libraries like BeautifulSoup and Selenium to extract product reviews, ratings, and associated metadata from Amazon efficiently. Implement mechanisms to handle dynamic loading, pagination, and anti-bot measures. 2. Review Comparison: Compare two product reviews based on **ratings**, **sentiment analysis**, and **keyword extraction** using NLP libraries like TextBlob or Vader for sentiment scoring. Extract keywords using tokenization and frequency analysis techniques. 3. Tracking and Analytics: Analyze and track average ratings over time for trends. Compute the frequency of keywords and distribution of sentiments across reviews. 4. Visualization: - Utilize Matplotlib and Seaborn to create clear and interactive visualizations, including: - Line charts for average ratings over time. - Bar graphs or pie charts for sentiment distribution. - Word clouds or bar graphs for keyword frequency. 5. Deliverables: Python script for scraping and analysis. Clean, modular code with detailed documentation for reusability. Visualization dashboard or exportable charts for review comparisons.

Hi, I have experience and scripts setup for websraping, cleaning and store, I would like to be able to incorporate it into your project, by setting up a reliable ETL pipeline for computing, storing and visualising the required data

I am an experienced Python developer with strong expertise in web scraping, data analysis, and graphical visualization. I am proficient with the necessary tools for this project, including BeautifulSoup, Selenium, Pandas, Seaborn, and Matplotlib, enabling me to efficiently extract, process, and present information in a clear and impactful manner. While I don’t have direct experience with sentiment analysis (NLP), I am a fast learner and highly motivated to integrate the best tools and practices to implement this functionality in your project. My ability to tackle complex problems and quickly acquire new skills allows me to address technical challenges confidently. Moreover, I have hands-on experience in transforming raw data into actionable insights. With a focus on organization and clarity in presentation, I can create detailed visualizations to help compare products, analyze review trends over time, and highlight keyword patterns. I pride myself on maintaining open communication throughout the project, ensuring each step aligns with your expectations. My ultimate goal is to deliver a robust, functional solution that exceeds your requirements. I am confident that my technical skills, problem-solving mindset, and dedication to the success of this project make me the ideal candidate for this opportunity.