Develop a robust and scalable tool to monitor and track product prices across multiple e-commerce platforms. The system will extract, store, and analyze pricing data, allowing users to stay updated on market trends, detect pricing anomalies, and make informed business decisions.

1. Price Data Extraction

Scrape real-time product prices from multiple e-commerce websites like Amazon, eBay, Walmart, etc.

Support for dynamic and JavaScript-heavy websites using Selenium or Playwright.

Automate scraping schedules for periodic updates using task schedulers like Celery or Cron Jobs.

2. Product Information Tracking

Capture additional metadata such as product titles, descriptions, ratings, reviews, and stock availability.

Handle multiple product categories with structured output formats (e.g., JSON, CSV, database).

3. Historical Price Tracking

Maintain historical price trends in a database for analytical purposes.

Visualize trends using libraries like Matplotlib or Plotly.

4. Alert System

Set up user-defined price thresholds and trigger alerts via email, SMS, or notifications when conditions are met.

Integrate alert services using APIs like Twilio, SendGrid, or AWS SNS.

5. Data Dashboard

Create an intuitive web interface for users to view data insights using frameworks like Flask or Django.

Offer filtering options for products, prices, and time ranges.

6. Scalability

Use Scrapy for efficient crawling and handling of large-scale data scraping.

Employ cloud services (e.g., AWS EC2, Lambda) to manage high traffic and periodic data extraction.

Python: Core language for scraping, automation, and backend development.

Scrapy/Selenium/BeautifulSoup: For data scraping.

Flask/Django: For building the web interface and API.

MySQL/PostgreSQL: For structured data storage.

MongoDB: For semi-structured data.

AWS S3: For storing large data exports.

Celery: For asynchronous tasks.

Redis: As a message broker.

Plotly/Matplotlib: For generating graphs and charts.

Docker: For containerized deployment.

AWS (EC2, Lambda, RDS): For scalable cloud infrastructure.