Introduction
In our latest project, we tackled a comprehensive data scraping and extraction task for BoreStore.eu. The goal was to gather detailed information on categories, tags, and products, ensuring all data was linked and easily accessible.
Project Requirements
- Data Extraction: Scrape the entire site for categories, tags, and products.
- Detailed Information: Collect titles, short descriptions, full descriptions, SKUs, prices, and product specifications.
- Language and Currency: Default language set to English and currency to Euro (EUR).
- Linking Entities: Ensure each category, tag, and product could be linked together.
Challenges and Solutions
- Missing Products: Identified and included missing products by verifying SKUs.
- SKU Formatting: Removed suffixes from product SKUs for consistency.
- Product Specifications: Extracted and formatted product specifications in all available languages.
- Category Filters: Extracted filter attributes for each category, ensuring multi-language support.
Achievements
- Successfully scraped and compiled a comprehensive dataset.
- Ensured all data was linked and formatted for easy parsing.
- Delivered a multi-language dataset, enhancing usability for diverse users.
Conclusion
This project showcased our ability to handle complex data extraction tasks, ensuring accuracy and completeness. We’re proud of the results and look forward to more challenging projects in the future.
BoreStore Scraping and Data Extraction