Find Warm Leads on LinkedIn: AI ICP Scoring on Comments

Created by

Unseen User

Actor

🔬 LinkedIn Comment Thread: Replies + Reactors [No Login] ✅

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.

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🔬 LinkedIn Comment Thread: Replies + Reactors [No Login] ✅unseenuser/comment-reactions-and-replies

Type

Comment url

Author name

Reactor name

+9 fields

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

How it works

Sign up on Apify or log in

The 🔬 LinkedIn Comment Thread: Replies + Reactors [No Login] ✅ Actor is ready to run with the inputs already set for "Find Warm Leads on LinkedIn: AI ICP Scoring on Comments". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Find Warm Leads on LinkedIn: AI ICP Scoring on Comments" task

The 🔬 LinkedIn Comment Thread: Replies + Reactors [No Login] ✅ Actor will start running based on the input automatically. You can also change all the input fields, like linkedin comment urls, enrich engagers with icp scoring (llm), and more, to match your specific use case.

Receive the "Find Warm Leads on LinkedIn: AI ICP Scoring on Comments" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as type, comment url, author name, and more.