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Find Warm Leads on LinkedIn: AI ICP Scoring on Comments
Every time a competitor posts something viral on LinkedIn, dozens of your ideal customers show up in the comments and reactions. This task pulls all of them, deduplicates into unique engagers, and scores each against your ICP with Claude Haiku - seniority, decision-maker flag, buying intent, sentiment. A ready-to-sort warm-lead list from one comment URL.
🔬 LinkedIn Comment Thread: Replies + Reactors [No Login] ✅unseenuser/comment-reactions-and-replies
Type
Comment url
Author name
Reactor name
+9 fieldsTextNumberBooleanListObject
Input
LinkedIn comment URLs(required):https://www.linkedin.com/feed/update/urn:li:activity:7408723748973056001?commentUrn=urn%3Ali%3Acomment%3A%28activity%3A7408723748973056001%2C7408723949095772161%29
Enrich engagers with ICP scoring (LLM):true
Anthropic API key (only used when enrichment is on):***
Your ideal customer profile (only used when enrichment is on):B2B SaaS founders and heads of growth at 20-500 person companies in North America or Europe.
Output fields
Type
Comment url
Author name
Reactor name
Reaction type
Text
Created at
Author position
Reactor position
Author linkedin url
Reactor linkedin url
Error code
Error description
Sign up on Apify01
Create your Apify account to access the 🔬 LinkedIn Comment Thread: Replies + Reactors [No Login] ✅.
Start the run02
The Actor will start running based on the input automatically.
Receive the output03
Monitor the progress in real-time. You will be notified as soon as your dataset is complete and ready for review.
Integrate into your workflow04
The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow.
