Alibaba Product Scraper
Handles bulk extraction with structured multi-format output.
An automated web scraping tool that extracts product listings, pricing data, and supplier contact information from Alibaba at scale. Designed for market research and competitive intelligence - outputs clean, structured data in both CSV and JSON formats.
The Challenge
Manual product research on Alibaba is slow, inconsistent, and impossible to scale. Hundreds of listings across dozens of categories needed to be collected, structured, and compared - without spending days doing it by hand.
Our Solution
Built a Python scraper using Selenium for JavaScript-rendered pages and BeautifulSoup for HTML parsing. Handles pagination, category traversal, and rate limiting automatically. Data is cleaned, deduplicated, and exported to both CSV (for spreadsheet analysis) and JSON (for programmatic use). Designed to run on a schedule or on-demand.
The Result
Reduced product research time from days to minutes. Outputs structured, analysis-ready data across thousands of listings per run. Private repository under the Xpersive Labs GitHub organisation.
Tech Stack