video1.0<iframe src="https://www.loom.com/embed/f93c910bddeb40be88533436ce3d09b0" frameborder="0" width="1658" height="1243" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>12431658Loomhttps://www.loom.com12431658https://cdn.loom.com/sessions/thumbnails/f93c910bddeb40be88533436ce3d09b0-fb8ce227d467b9ed.gif196.52266699999998This Loom walks through a workflow to scrape Profound’s latest LinkedIn company posts and extract leads from reactions and comments. They use an Apify actor to scrape posts from the company page, import the results into Clay, and export post details including post URL and timestamp. Then they use Clay enrichment to retrieve interaction data, extract reactor profile URLs, and filter profiles by organization, role titles, and annual revenue ranges, using criteria for mid-market above 20M and below 200M, and enterprise above 200M. Matching profiles trigger a message to a Slack channel including the person’s LinkedIn URL, company, role, and post reacted to.