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LinkedIn Comment Thread Sentiment Analysis with AI

Score every person who engaged with a viral LinkedIn comment as positive, neutral, or negative - with a confidence score so you can filter out weak inferences from reaction-only rows. AI-powered via Claude Haiku on your own key. Built for community managers and crisis monitoring teams who need thread-level tone at a glance.

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🔬 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
Anthropic API key (only used when enrichment is on):***
Your ideal customer profile (only used when enrichment is on):Anyone commenting on this thread - I want to understand the emotional tone across the debate.

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 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.

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