Carousell Price Tracker
A bot to track and retrieve daily prices of products on Carousell, sorting and filtering to find the best deals.
Features
- Automated daily price scanning for user-specified products
- Advanced filtering based on price, condition, and listing age
- Price trend analysis to identify undervalued items
- Notification system for exceptional deals
- Historical price data storage and visualization
Technical Stack
- JavaScript/Python
- Web scraping tools (BeautifulSoup/Puppeteer)
- Database for price history tracking
- RESTful API for data retrieval
- Front-end dashboard for visualization
Lessons Learned
The Carousell Price Tracker project was a practical application of automation that delivered tangible financial benefits. By systematically monitoring product listings and applying intelligent filtering algorithms, I was able to identify significantly underpriced items before other marketplace users.
This project's success extended beyond just technical implementation—it created a positive return on investment by enabling me to purchase items at below-market prices and subsequently resell them at a profit on the same platform. The bot effectively identified pricing inefficiencies in the marketplace that would be impractical to discover through manual browsing.
A key technical challenge was developing filters that could distinguish genuinely good deals from listings with misleading descriptions or hidden issues. I implemented keyword analysis and image recognition techniques to improve the quality of results and reduce false positives.
The experience demonstrated the practical value of combining web scraping, data analysis, and automated notifications in a competitive marketplace environment. It also highlighted the importance of timing in marketplace transactions—being among the first to identify and respond to new deals provided a significant advantage.
This project reinforced my belief in building tools that create tangible value rather than just technical novelty, and it provided a solid foundation for more sophisticated marketplace automation projects in the future.