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Apify
@apify
Thousands of Actors to automate your business, get real-time web data, and integrate your apps and agents. ➡️ • •
가입 September 2015
300 팔로잉 중    16K 팬
A single LinkedIn post becomes a full engager list: reactions plus comments, pulled with two Apify Actors. @codyschneider builds it in Claude Code, deploys it to run on a cron, then waterfalls each new engager through enrichment before outreach. Watch the full agent setup 🤖
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last week went on gregs pod you probably missed it bc you're super busy here's everything you'll learn LinkedIn engagement is a hand-raise signal, beats firmographics Track 10–20 category outliers, get 80% industry coverage Use your for-you feed, not search, sourcing creators Business accounts work as lead sources, not just people Apify API Maestro actors: most stable LinkedIn scrapers Post reactions plus post comments = full engager list Daily cron pulls net-new posts, then extracts engagers ICP-fit research happens before enrichment, not after Waterfall enrichment: cheapest accurate source first, expensive last Origami aggregates the entire waterfall behind one call LeadMagic specifically for mobile phone number enrichment MillionVerifier before sending, or deliverability dies fast Buying broker contact data is legal; usage rules differ Burner domains protect your core domain deliverability Four domain buckets: cold, marketing, transactional, business Roughly $200/month total to start sending 10k Instantly webhooks push positive replies to your agent Inbox agent answers questions, drives toward booked demos Program six-month re-touches to revive gone-cold leads Wire calendar access so agent verifies actual bookings Agent equals code, thinking loop, live data stream Don't pay tokens for what cheap CPU does Agent frameworks are usually bloat for finite problems Model the human's real process, not autonomous god-box Organic: interviews, sales calls, Slack, Notion, Gong "Write good LinkedIn content" produces mid, flaggable slop Best content is already trapped in internal conversations Ordinal schedules across accounts, feeds analytics back in Analytics stream tells agent what to snowball or remix Repost proven winners every 90 days, never daily Find what market wants, then build; same for content LinkedIn paid impressions run ~$22 per thousand — earned media Topic-based pages work when personal brand isn't appealing Timestamps 2:28 — Agent one: signal-based cold outbound 9:11 — Apify scraping and extracting engagers 15:47 — Waterfall enrichment, validation, compliance 21:40 — Inbox infrastructure, sending, inbox-managing agent 31:41 — Agent two: organic LinkedIn content engine
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