Scraped E-commerce Data.

Tech Stack

• Python
• BeautifulSoup

Problem

Extracting structured data from dynamic and inconsistent web pages is error-prone and often brittle. The goal was to build a reliable scraping pipeline that could handle real-world HTML variations.

Solution

I implemented a scraping workflow using BeautifulSoup that extracts product data while handling missing fields and structural inconsistencies gracefully.

Key Decisions

• —Focused on robustness instead of scraping speed.
• —Designed flexible selectors to tolerate layout changes.
• —Structured scraped data for easy downstream use.

Outcome

The result is a stable scraping pipeline that demonstrates practical data engineering skills and an understanding of real-world web data challenges.