Hey everyone 👋 I recently worked on the FindLocalBusinesses exercise and turned it into a small real-world project using local casinos as an example. While exploring the reviews, I was curious about how to efficiently identify or extract reviewer details (like names or contact info that users have publicly shared) — but still keep everything compliant and cost-efficient. Also, does Clay actually work well for B2C use cases like this? Or is it mainly optimized for B2B workflows? I’ve added a short Loom video for context: https://www.loom.com/share/4bb12a70f5494d6a9ef94cce841b270c Would love to hear how others approach analyzing or enriching local business review data in a clean way. Best regards, Aleks 🙂✌️
