Score LinkedIn engagers and draft outreach leads
Use Claude Cowork to pull LinkedIn engagers, enrich them, rank fit, and write outreach for the strongest matches.
- What they did
- Pietro linked Apify and Apollo to Claude Cowork, then pointed it to a folder containing his company details, ideal customer profile, and offer. After he supplied a LinkedIn post URL, the agent chose an Apify scraper, collected commenters, sent them through Apollo for enrichment, scored each person from 0 to 5, and prepared direct messages for the 4s and 5s. He also saved the workflow as a reusable skill.
- How it went
- He says the messages brought in a 48% reply rate. He also says the process can drive as many as 400 signups for a live event, though the source does not give sample sizes or explain how steady the scoring was.
- Tips
- Keep the full skill folder, not only SKILL.md, because the scoring logic and setup notes live there. Save the skill yourself after the run ends, and review anything that would spend credits or send a message before it proceeds.
Try it yourself with Claude Cowork
Use Claude Cowork to find and rank people who engaged with this LinkedIn post: [paste post URL]. Read my target customer details from this folder: [folder path], then enrich each engager with role, company, and email through Apollo only after asking me to approve any credit use. Score each person for fit from 0 to 5 using my ideal customer profile, rank the results, and draft a short DM for everyone scored 4 or 5. Pause and ask for my approval before any message is sent, and save the workflow steps so I can reuse them later.
Fill in the [brackets]. Agents can make mistakes, so review anything before it is sent, paid or deleted.
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