Every web data engineer has that one target site that’s just out of reach.
For one retail analytics platform helping brands track competitors’ prices, that site was a major e-commerce marketplace.
The company’s in-house data scraper could already:
Crawl product listings.
Extract structured data for pricing.
Refresh data hourly to feed analytics dashboards.
But the mission-critical marketplace proved problematic, thanks to its advanced anti-bot measures.
Bans spiked, CAPTCHA walls appeared, product pages returned 403 “Forbidden” errors. Over time, data extraction success rates dropped below 60%. For the analytics platform’s customers, market insight integrity was on the line.
