Project Overview
In this project, I used Octoparse and custom-built scrapers to automate data extraction from large e-commerce and product catalog websites. My goal was to gather structured product information including titles, descriptions, SKUs, images, and pricing — and transform it into clean, import-ready datasets for Shopify, WordPress, and internal systems.
I created and scheduled scraping tasks using Octoparse’s no-code interface and also developed custom scripts in Python and JavaScript for more complex websites. These scrapers were used for competitive research, catalog migration, and syncing supplier databases with minimal manual effort.
I also set up data pipelines that included cleaning, validation, transformation, and export in formats ready for bulk uploads or automated imports into e-commerce platforms.
Skills Used:
- Octoparse workflow creation and task scheduling
- Custom web scraping using Python (BeautifulSoup, Requests) and JavaScript
- Data normalization and CSV/JSON transformation
- Automation for recurring data updates and catalog syncs
- Import formatting for Shopify, WooCommerce, and internal tools
How I Can Help Your Business:
- Extract product data from supplier or competitor websites at scale
- Automate catalog building for e-commerce migrations or updates
- Build custom scrapers for any structured or semi-structured data source
- Create automated data pipelines from scrape to upload-ready file
- Integrate scraped data into Shopify, WordPress, or custom platforms
If your business needs clean, up-to-date data without the manual workload, I can help you build scraping systems that are fast, flexible, and tailored to your workflow.