Client Background
A fast‑growing electronics retailer needed daily insights into competitor pricing and promotions across 25 sites to optimize its own pricing strategy.
The Challenge
The sites employed infinite scrolling, dynamic AJAX price loading, and occasional captchas. Manual checks were error‑prone and time‑consuming.
Objectives
✦ Gather price, stock status, and promo details nightly
✦ Handle dynamic content and anti‑bot measures
✦ Deliver clean CSV/JSON for BI ingestion
Our Approach
𝐃𝐢𝐬𝐜𝐨𝐯𝐞𝐫𝐲: Mapped site structures; flagged JS‑heavy vs. static pages
𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭: Used Scrapy for static pages; Selenium for JS content (infinite scroll, login walls)
𝐀𝐧𝐭𝐢‑𝐁𝐚𝐧: Integrated proxy rotation, random delays, and captcha‑service fallback
𝐃𝐚𝐭𝐚 𝐏𝐫𝐨𝐜𝐞𝐬𝐬𝐢𝐧𝐠: Cleaned and deduped via Pandas; normalized currencies and timestamps
Results & Impact
✦ Automated collection of 12K+ data points per run (99.8% success rate)
✦ Reduced manual effort by 95% (from 30+ hours to <1 hour monthly)
✦ Enabled weekly price adjustments, improving margin by 8%
Tools & Technologies
Python, Scrapy, Selenium, BeautifulSoup, Pandas, Redis for queueing, AWS EC2 + cron
Client Testimonial
“This scraper transformed our pricing strategy—reliable, precise, and fully documented. Excellent communication throughout.”