Overview

These pipelines were designed to pull structured information from websites: product data, pricing, and related metadata. The focus was on consistency, resilience, and generating outputs that could actually be used for decision-making or further analysis.

Core Capabilities

• Automated extraction from target pages using predictable selectors or patterns.
• Transformation into normalized structures (e.g., JSON, CSV).
• Handling of pagination, multiple categories, and edge cases.
• Basic resilience to minor site layout changes.

Example Flow

for category in categories:
    page = 1
    while True:
        html = fetch_page(category, page)
        items = parse_items(html)
        if not items:
            break
        for item in items:
            record = normalize_item(item)
            save_record(record)
        page += 1

Outcomes

• Built reusable patterns for future scraping and data collection tasks.
• Improved understanding of site structures, rate limiting, and basic robustness.
• Demonstrated the ability to go from raw HTML to useful, structured data.