When a buying signal lives behind a LinkedIn search, a post, or an event page, PhantomBuster is how we go and get it. It is a cloud automation and scraping tool built from modular agents called Phantoms, and the whole thing runs in the cloud on your stored session cookies, no local code involved. You chain Phantoms into a flow: one scrapes a search or a post, the next visits the profiles, another enriches the contacts with emails, and outputs pass cleanly from one step to the next. Plans are metered by execution hours, phantom slots, and monthly credits. In a GTM stack it sits at the very top, as a data-capture and action layer that feeds your pipeline before anything else touches the rows. Scraped lists flow into Clay for deeper enrichment and routing, then out to your sending tools further downstream. At Nebor we reach for PhantomBuster when a client needs list or signal data that ordinary databases never hold, such as recent post engagers or event attendees. We capture it with a Phantom, push it into Clay to enrich, and feed the system we build. We run it with conservative limits on purpose. Cookie-based scraping carries real account risk, so we keep volumes safe and let Clay do the heavy lifting once the raw rows are in.