Go to example tasks![🔬 LinkedIn Comment Thread: Replies + Reactors [No Login] ✅](https://images.apifyusercontent.com/11sbux3-FLzTGfMvaH6MurMdDQU5I-7ixwSCOcFK6eU/rs:fill:250:250/cb:1/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMudXMtZWFzdC0xLmFtYXpvbmF3cy5jb20vc0NDU2R3bm1LTUoxUTJzVG4tYWN0b3ItRFZWeHE0dXNlM3V5bVI3T2ItaHk0ODZwcGFOQS1fX19fX19fX19fX19fJTI4MTclMjkucG5n.webp)
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.
🔬 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):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
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.
