https://github.com/Zaibten/Zaibten-Scrapper-Backend-Server
ZAIBTEN is a cutting-edge customer reviews analysis software powered by web scraping, Natural Language Processing (NLP), and machine learning. It is designed to scrape, analyze, and visualize customer feedback from major e-commerce and review platforms such as Amazon, eBay, and Yelp. With ZAIBTEN, you can automatically extract real-time products.
https://github.com/Zaibten/Zaibten-Scrapper-Backend-Server
app beautifulsoup4 expressjs flask jupyter-notebook machine-learning mongodb mongoose nlp-machine-learning nodejs python smtp smtp-server webapplication webscapping webscraping-data
Last synced: 7 months ago
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ZAIBTEN is a cutting-edge customer reviews analysis software powered by web scraping, Natural Language Processing (NLP), and machine learning. It is designed to scrape, analyze, and visualize customer feedback from major e-commerce and review platforms such as Amazon, eBay, and Yelp. With ZAIBTEN, you can automatically extract real-time products.
- Host: GitHub
- URL: https://github.com/Zaibten/Zaibten-Scrapper-Backend-Server
- Owner: Muzamilofficial
- Created: 2024-12-12T09:17:39.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2025-01-19T12:20:35.000Z (over 1 year ago)
- Last Synced: 2025-01-19T13:21:18.256Z (over 1 year ago)
- Topics: app, beautifulsoup4, expressjs, flask, jupyter-notebook, machine-learning, mongodb, mongoose, nlp-machine-learning, nodejs, python, smtp, smtp-server, webapplication, webscapping, webscraping-data
- Language: JavaScript
- Homepage: https://zaibten.vercel.app
- Size: 86.9 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# 🚀 Introducing ZAIBTEN: Your All-in-One Web Scraping & Analysis Platform For Customer Reviews Analysis! 🚀
Join ZAIBTEN SCRAPPER today and unlock the power of web scraping, customer review analysis, sentiment analysis, and automated reporting. Leverage the power of AI and machine learning to drive your business decisions with confidence! 🔥
# 🔍 What is ZAIBTEN?
ZAIBTEN is a cutting-edge customer reviews analysis software powered by web scraping, Natural Language Processing (NLP), and machine learning. It is designed to scrape, analyze, and visualize customer feedback from major e-commerce and review platforms such as Amazon, eBay, and Yelp.
With ZAIBTEN, you can automatically extract real-time product reviews, ratings, and other valuable data. Then, using advanced NLP techniques, it classifies, analyzes sentiment, and identifies trends in user feedback. The platform even trains machine learning models on these datasets, offering predictive insights on customer satisfaction, product quality, and more.📊
# 📈 Real-Time Analytics
ZAIBTEN goes beyond just scraping data — it analyzes and visualizes it for you! Once the data is scraped from e-commerce platforms like Amazon, eBay, and Yelp, ZAIBTEN processes it to generate detailed visualizations, graphs, and charts directly on your dashboard. These graphs display real-time insights, such as:
1. Product ratings over time
2. Sentiment analysis of customer reviews (positive, negative, neutral)
3. Comparative analysis of different products or sellers
4. Customer behavior and feedback trends
This real-time data empowers businesses to make quick, data-driven decisions based on the latest customer feedback. 📉📊
# 📧 Automated Email Reports
ZAIBTEN integrates seamlessly with email automation, allowing you to automatically send detailed analysis reports to your email without manual effort. Once data is scraped and processed, ZAIBTEN generates a comprehensive report and sends it directly to your inbox. These reports include:
1. Customer sentiment analysis
2. Rating distribution and trends
3. Product comparison and recommendations
4. Visualized data with graphs and charts
By automating this process, ZAIBTEN ensures you stay up-to-date on the latest product reviews and insights. 📧💼
# 🛠️ Tech Stack Breakdown:
1. Node.js 🚀: High-performance JavaScript runtime for scalable backend services.
2. MongoDB 🔒: NoSQL database to securely store massive volumes of scraped data.
3. Flask & Python 🧠: For running advanced analytics, including NLP techniques and machine learning model training.
4. Jupyter Notebooks 📚: Powerful tool for analyzing data and training models using Python.
5. NLP (Natural Language Processing) 🌟: Processes customer reviews and extracts valuable insights like sentiment, trends, and product ratings.
6. SMTP 📧: Email automation for sending reports, keeping you updated automatically.
# 💼 Admin Panel
ZAIBTEN comes with a user-friendly Admin Panel, giving you complete control over your data. From managing and analyzing scraped reviews to visualizing performance statistics and generating reports, everything is accessible from a single dashboard. With ZAIBTEN's Admin Panel, you can:
1. Track real-time data scraping progress
2. Visualize customer sentiment and feedback trends
3. Compare reviews from different products, sellers, or platforms (Amazon, eBay, Yelp)
4. Generate and export comprehensive reports for internal analysis or presentation
# 🌐 Why Choose ZAIBTEN?
1. Real-Time Data: Scrape the latest reviews and product ratings from e-commerce giants like Amazon, eBay, and Yelp.
2. Powerful NLP: Sentiment analysis and customer feedback categorization based on positive, negative, and neutral reviews.
3. Model Training: Train machine learning models on your scraped dataset to predict trends, customer behavior, and product success.
4. Automated Email Reports: Get real-time reports sent directly to your inbox without the hassle of manual creation.
5. Robust Admin Panel: An intuitive interface to manage your data and generate meaningful insights with ease.
# 🧠 Customer Reviews Analysis Software: Deeper Dive
ZAIBTEN is not just a web scraper; it’s a customer reviews analysis software built to help businesses and developers leverage user feedback for actionable insights. Here's how it works:
1. Scraping Reviews: ZAIBTEN scrapes real-time customer reviews, ratings, and product data from top platforms like Amazon, eBay, and Yelp. This allows you to collect large volumes of data about different products, services, and sellers.
2. Natural Language Processing (NLP): ZAIBTEN uses advanced NLP algorithms to process the scraped text. It identifies the sentiment of each review (positive, negative, or neutral) and extracts valuable keywords and phrases. This process helps to detect common complaints, positive feedback, and emerging trends.
3. Data Analysis and Visualization: ZAIBTEN transforms the raw data into structured insights, creating visualizations that display customer sentiment over time, rating distributions, and overall product or service satisfaction.
4. Model Training and Predictions: ZAIBTEN takes things a step further by training machine learning models using the scraped dataset. This enables the platform to predict future product success, forecast customer satisfaction, and even recommend changes to improve ratings.
By analyzing customer reviews from multiple platforms, ZAIBTEN helps businesses understand consumer behavior, identify improvement areas, and predict how products or services will perform in the future.
# 🚀 Ready to start scraping and analyzing data?
Join ZAIBTEN today and unlock the power of web scraping, customer review analysis, sentiment analysis, and automated reporting. Leverage the power of AI and machine learning to drive your business decisions with confidence! 🔥
#WebScraping #DataScience #NLP #EmailAutomation #NodeJS #MongoDB #Flask #JupyterNotebook #AdminPanel #DataAnalysis #MachineLearning #CustomerSentimentAnalysis #ZAIBTEN #TechInnovation
# 📸 Some Screenshots of the Project 🖼️✨
