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Investigate a Viral LinkedIn Comment Thread

Deep-dive into any viral LinkedIn comment - pull every reply and every reactor in one run. See who is engaging, what they are saying, and how the thread is trending. Ideal for community managers, journalists, and researchers tracking public conversation around a specific comment on any LinkedIn post.

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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
Fetch replies:true
Fetch reactions:true

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 "Investigate a Viral LinkedIn Comment Thread". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Investigate a Viral LinkedIn Comment Thread" 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, fetch replies, and more, to match your specific use case.

Receive the "Investigate a Viral LinkedIn Comment Thread" 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 "Investigate a Viral LinkedIn Comment Thread" task via API.

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