Google the hottest LinkedIn posts on topic, pull profiles of people who reacted/commented, and flag those matching ICP profile.
Founders, SDRs and growth teams who sell on LinkedIn look for buyers who already show interest in their topic. The people who react to or comment on a post about that topic are such buyers. The goal is a short list of those people who also match the ideal customer profile (ICP): the right role, company and location.
A LinkedIn post shows its reactors and commenters with a name and a headline only. Their company, location and experience are on each profile, one page per person. Under a post, LinkedIn sorts comments as "Most relevant" by default, and that sort hides low-engagement comments. Each profile you open also records a profile view that the person can see.
Reduck runs the whole loop inside your own signed-in session, so it sees what you'd see and behaves like you, not a separate scraping service. Your agent finds the posts that are hot on your topic, pulls the profiles of everyone who reacted or commented, and flags only the ones matching your ICP. You get a qualified shortlist of people who reacted to or commented on posts about your topic. Reading a profile with the script does not record a profile view.
Let Claude, ChatGPT or any AI agent export a LinkedIn Sales Navigator lead list or search to CSV or Google Sheets, every page, with each lead's name, title, company, location and Sales Navigator link, from your own Sales Navigator seat.
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