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LinkedIn Comment Buying Intent Detection with AI

Scan every reply on a viral LinkedIn comment for buying signals. Claude Haiku flags each engager's intent as buying_signal, question, praise, criticism, other, or none. Combined with an intent_score, sentiment, and decision-maker flag, sales gets a shortlist of warm hand-raisers instead of scrolling through hundreds of reactions.

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
Anthropic API key (only used when enrichment is on):***
Your ideal customer profile (only used when enrichment is on):Anyone showing buying intent for enterprise SaaS or dev tools.

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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