Extract consumer insights from scraped web data with agentic AI-powered customer feedback analytics: auto-cluster themes, spot friction patterns, and decode customer sentiment by analyzing customer reviews.
Web Scraper lets teams harvest large-scale, structured web data from e-commerce sites, review platforms, product pages, and more. But scraping is only half the story; true competitive advantage lies in interpreting that data.
This integration layer Clootrack’s AI reasoning engine on top of your Web Scraper output, transforming raw HTML or JSON into actionable insights. Automatically detect recurring themes in scraped reviews, track shifting sentiment across regions or brands, and uncover the real drivers behind buyer decisions, complaints, or praise.
Auto-cluster disjointed, unstructured customer review data into themes for actionable consumer insights; no manual tagging or keyword configuration required.
Surface unmet needs and feature requests directly from scraped customer reviews verbatim.
Detect shifts in feedback themes over time or across product cohorts.
Analyze feedback instantly with Clootrack Genie, our multi-agent reasoning engine.
Deliver leadership-ready, structured reporting effortlessly.
Merge scraped customer data with feedback from CRM, support logs, or service call transcripts to build a complete customer journey map.
Layer insights from Amazon, Walmart, or niche marketplaces to benchmark brand consistency.
Turn star ratings and textual feedback into direct pointers for R&D and QA teams.
Analyze scraped competitor reviews to spot gaps you can fill or advantages you’re losing.
Capture and rank feature requests from customer voices without manual data sifting.