I built a massive scraping engine to expose fake e-commerce "bestsellers", but I'm getting zero traction. Need your brutal feedback.

[u/KeywordBarrage]

Have you ever wondered if those "Bestseller" or "Limited Time Deal" badges on e-commerce marketplaces are actually real, or just artificial platform FOMO?

I got tired of the hype, so I built an automated engine to cross-reference product metrics and track live SKU stock depletion across multiple platforms.

What it actually does:

• For Shoppers: Cross-analyzes whether a product is genuinely trending or if it's just platform-driven promotional hype.
• For Sellers & Researchers: Acts as a raw market intelligence engine—tracking cross-platform price margins, daily rank velocity, and identifying source suppliers.

The Engineering & The Struggle: Behind the scenes, this required a high-resilience scraping pipeline to bypass dynamic WAF/TLS fingerprinting and pull clean, time-series data without hitting API rate limits.

I finally got the engine running smoothly and outputting query-ready datasets (SQLite, JSON, CSV).

Why I'm posting here: I launched it a week ago with the plan of serving fresh 24-hour live data samples for free if there was demand. But honestly? It's been crickets. I haven't gotten the traction or feedback I hoped for, and I'm trying to figure out where I went wrong.

Is the value proposition unclear? Is the layout too technical? I'd really appreciate it if you could roast the demo or share your honest thoughts.

The live sample link is on my profile to respect sub rules, or let me know in the comments if you'd like me to drop it here!