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Vision Infotech · Data Engineering

Brilliant Earth Scraping Pipeline

Python Developer 2022 – 2023 Automated Python Pipeline
Live site not publicly available

Under client confidentiality agreements, we can't share the live URL for this project. We'd be glad to walk you through a live, similar demo in a meeting — let's set one up.

Overview

A production-grade web scraping and data engineering pipeline targeting Brilliant Earth. It extracts SKUs, names, categories, metals, carats, pricing, ratings and stock across thousands of listings, delivering structured data in JSON, CSV and Excel.

What we did

  • Selenium + BeautifulSoup pipeline for JavaScript-heavy React pages.
  • Intelligent pagination, auto-detecting page counts (1–50+).
  • Rotating proxies and user-agents with randomised delays (1.5–3s).
  • Multi-format export: JSON, CSV and formatted Excel.
  • Scheduler for recurring scrapes (every 6h) and a real-time job dashboard.
  • Validation and deduplication for clean, consistent output.

Tech stack

PythonSeleniumBeautifulSoup4PandasopenpyxlHeadless Chrome

Outcomes

3,847+ records scraped
Zero IP bans across 142+ runs
Runs every 6h automatically
~40 records/min (peak 55)
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