Go to example tasks

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.

Try for free
LinkedIn Comment Thread: Replies + Reactors [No Login] ✅
LinkedIn Comment Thread: Replies + Reactors [No Login] ✅unseenuser/comment-reactions-and-replies
Type
Comment url
Author name
Reactor name
+9 fields
Text
Number
Boolean
List
Object

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
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.

Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Find Warm Leads on LinkedIn: AI ICP Scoring on Comments" task via API.

Image

Integrate "Find Warm Leads on LinkedIn: AI ICP Scoring on Comments" into your workflow

Connect "Find Warm Leads on LinkedIn: AI ICP Scoring on Comments" with 100+ integrations, or run it via API or MCP.

Webhook

Webhook

n8n

n8n

Make

Make

Zapier

Zapier

Airbyte

Airbyte

Keboola

Keboola

IFTTT

IFTTT

Hubspot

Hubspot

GDrive

GDrive

Gmail

Gmail

Apify MCP

Apify MCP

GitHub

GitHub

Slack

Slack

LangChain

LangChain

LlamaIndex

LlamaIndex

Flowise

Flowise

Pinecone

Pinecone

OpenAI

OpenAI

Mastra

Mastra

Clay

Clay

Frequently asked questions

Paste a comment URL into LinkedIn comment URLs and describe your buyer in Your ideal customer profile. The task pulls every reply and reactor, deduplicates them into unique engagers and scores each one against your ICP.

Each engager gets an ICP fit score, seniority level, decision-maker flag, buying intent score, intent type and sentiment, alongside their name, position and LinkedIn URL.

On LinkedIn, click the timestamp of the comment you want. The address bar then shows a URL containing commentUrn, which is the format the task needs.

Edit Your ideal customer profile. This task targets B2B SaaS founders and heads of growth at 20-500 person companies in North America or Europe, so swap in your own roles, company sizes and regions.

No LinkedIn login or cookies are needed. The ICP scoring runs on your own API key, entered in the API key field of the form.