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PriceTracker Pro: Multi-E-Commerce Price Tracking with Bright Data's Web Scrapers API π
Published at
12/29/2024
Categories
brightdatachallenge
devchallenge
webdev
api
Author
Jackson Kasi
Submission for the Bright Data Web Scraping Challenge: Build a Web Scraper API to Solve Business Problems
What I Built π
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. π‘π°
Demo π₯
Key Features:
- Multi-Platform Price Tracking: Monitor prices from various e-commerce sites in one dashboard. ππ
- Real-Time Updates: Receive instant notifications when prices drop or rise beyond set thresholds. ππ
- Historical Data Analysis: View price history charts to identify trends and make informed decisions. ππ
- User-Friendly Interface: Easily add products to track and manage your watchlist with a simple UI. π¨βπ»β¨
Screenshots:
1. Dashboard Overview
2. Add Product to Track
3. Price History Chart
Dev Diagram
Live Demo: PriceTracker Pro π
Github Repo: price-tracker ππ
How I Used Bright Data π οΈ
Bright Data's Web Scrapers API was essential in building PriceTracker Pro. Here's how it integrated into my project:
- Reliable Data Extraction: Utilized Bright Dataβs API to scrape dynamic content from e-commerce websites, ensuring accurate and up-to-date price information. ππ
- Handling JavaScript-Heavy Pages: The API seamlessly managed JavaScript-rendered pages, enabling scraping of interactive elements like infinite scrolling and product variations. π₯οΈβ¨
- Scalable Scraping Solutions: Leveraged Bright Dataβs infrastructure to handle multiple concurrent scraping tasks, allowing PriceTracker Pro to monitor numerous products without performance issues. β‘π
- Efficient Data Management: Integrated the scraped data into my application's database, facilitating real-time updates and historical tracking. ποΈπ
Challenges Overcome:
- Dynamic Content Loading: Bright Data's API effectively handled AJAX requests and dynamic content, eliminating the need for complex custom scripts. π οΈπ§©
- Rate Limiting and IP Management: Managed scraping rates and IP rotations effortlessly with Bright Dataβs built-in features, ensuring uninterrupted data collection. ππ
Additional Notes π
This project aligns with Prompt 2, demonstrating how a web scraper API can solve real-world business problems like price monitoring and competitive analysis. ππ
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