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Automated data collection system for tracking wine pricing and reviews across global e-commerce platforms.
Category:Web Scraping
Client Type:E-commerce Business
Duration:2-4 weeks
Tech Stack:
Python
Scrapy
BeautifulSoup
REST APIs
Pandas
PostgreSQL
This project focused on developing a scalable web scraping solution to collect wine pricing, reviews, and product availability from multiple global e-commerce platforms. The client needed accurate and up-to-date data to better understand market trends and optimize their pricing strategy, but manual tracking was inefficient and inconsistent.
Cyclosa built a custom system that automated the data collection process, handled dynamic website structures, and delivered clean, structured data for analysis. This enabled the client to access reliable insights in real time, reduce manual workload, and make faster, data-driven decisions.
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