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Cover image for PriceTracker Pro: Multi-E-Commerce Price Tracking with Bright Data's Web Scrapers API πŸš€
Jackson Kasi
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PriceTracker Pro: Multi-E-Commerce Price Tracking with Bright Data's Web Scrapers API πŸš€

Submission for the Bright Data Web Scraping Challenge: Build a Web Scraper API to Solve Business Problems


What I Built πŸš€

I developed PriceTracker Pro, a web application that leverages Bright Data's Web Scrapers API to monitor and track prices across multiple e-commerce platforms like Amazon, eBay, and Walmart. This tool helps users stay informed about price fluctuations, enabling smarter purchasing decisions and effective budget management. πŸ’‘πŸ’°


Demo πŸŽ₯

Key Features:

  1. Multi-Platform Price Tracking: Monitor prices from various e-commerce sites in one dashboard. πŸ›’πŸ“Š
  2. Real-Time Updates: Receive instant notifications when prices drop or rise beyond set thresholds. πŸ””πŸ“ˆ
  3. Historical Data Analysis: View price history charts to identify trends and make informed decisions. πŸ“‰πŸ“…
  4. User-Friendly Interface: Easily add products to track and manage your watchlist with a simple UI. πŸ‘¨β€πŸ’»βœ¨

Screenshots:

1. Dashboard Overview

Dashboard

2. Add Product to Track

Add Product

3. Price History Chart

Price History Chart

Dev Diagram

Dev Diagram

Live Demo: PriceTracker Pro 🌐

Github Repo: price-tracker πŸ“‚πŸ”—


How I Used Bright Data πŸ› οΈ

Bright Data's Web Scrapers API was essential in building PriceTracker Pro. Here's how it integrated into my project:

  1. Reliable Data Extraction: Utilized Bright Data’s API to scrape dynamic content from e-commerce websites, ensuring accurate and up-to-date price information. πŸ“ˆπŸ”
  2. Handling JavaScript-Heavy Pages: The API seamlessly managed JavaScript-rendered pages, enabling scraping of interactive elements like infinite scrolling and product variations. πŸ–₯️✨
  3. Scalable Scraping Solutions: Leveraged Bright Data’s infrastructure to handle multiple concurrent scraping tasks, allowing PriceTracker Pro to monitor numerous products without performance issues. βš‘πŸ”„
  4. Efficient Data Management: Integrated the scraped data into my application's database, facilitating real-time updates and historical tracking. πŸ—„οΈπŸ“Š

Challenges Overcome:

  • Dynamic Content Loading: Bright Data's API effectively handled AJAX requests and dynamic content, eliminating the need for complex custom scripts. πŸ› οΈπŸ§©
  • Rate Limiting and IP Management: Managed scraping rates and IP rotations effortlessly with Bright Data’s built-in features, ensuring uninterrupted data collection. πŸŒπŸ”„

Additional Notes πŸ“

This project aligns with Prompt 2, demonstrating how a web scraper API can solve real-world business problems like price monitoring and competitive analysis. πŸ“ŠπŸ†

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