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Linkedin Post Comments Scraper — LinkedIn | Lagic

Built For

Extract all comments from any LinkedIn post to analyze audience sentiment and engagement.

Curated by Lagic·Verified working

Configure Agent

The URN identifier for the query.

Required when fetching the next result page. Please use the token from the result of your previous call.

Page number for pagination.

Default value: Most relevant. Possible values: Most relevant, Most recent

Results to deliver

700 credits

This agent actively searches live listings — results may vary. You are only charged for what is delivered, up to this number.

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Country auto-rotated. Need a specific region? Contact support.

Pricing

7 credits per result
✓ 30 free credits on signup✓ Refund if 0 results✓ No card required

Sample Data Preview

Total number of comments on the postCommenter's full nameCommenter's profile URLThe full text of the commentNumber of likes on the commentTimestamp of when the comment was posted
385Sample Text...https://...Value...342026-04-05
337Sample Text...https://...Value...2812026-04-05
..................
Exports as:CSVXLSXJSON

Overview

Scrape comments from any public LinkedIn post. Get the commenter's name, profile URL, comment text, and like count to understand audience feedback and identify key contributors.

This tool extracts all comments from a public LinkedIn post, providing a structured dataset for analysis. It's designed for marketers, brand managers, and sales teams who need to understand audience reception, identify engaged prospects, and monitor competitor content without manually sifting through comment threads. ### How it helps you Instead of just seeing a raw count of comments, you can export the actual text and author details for deeper analysis. This allows you to perform sentiment analysis on product launches, find common customer questions, identify potential brand advocates, or spot sales leads who are actively discussing problems your business solves. The data is delivered in a clean format, ready for use in spreadsheets or other analysis tools. ### Understanding the Inputs The primary input is the post's URN, which is a unique identifier LinkedIn uses. You can typically find this in the post's URL. For example, in the URL `https://www.linkedin.com/feed/update/urn:li:activity:7123456789012345678/`, the URN is `urn:li:activity:7123456789012345678`. You can also sort comments by 'Most relevant' or 'Most recent' to match what you see on LinkedIn.

Key Capabilities

  • ✓ Total number of comments on the post
  • ✓ Commenter's full name
  • ✓ Commenter's profile URL
  • ✓ The full text of the comment
  • ✓ Number of likes on the comment
  • ✓ Timestamp of when the comment was posted
  • ✓ A pagination token to fetch the next set of results for posts with many comments
  • ✓ Analyze Campaign Sentiment: Extract all comments from a marketing campaign post to gauge public reaction and measure overall sentiment.
  • ✓ Generate Sales Leads: Monitor competitor posts to find users asking buying-intent questions or expressing dissatisfaction, then add them to an outreach list.
  • ✓ Identify Influencers and Advocates: Scan comments on industry-leading posts to find highly-engaged experts or fans who could become brand advocates.
  • ✓ Gather Qualitative Feedback: Collect comments from a product launch or feature announcement to compile user feedback and identify common themes or issues.
  • ✓ Monitor Brand Mentions: Track comments on posts from major publications or partners that mention your brand to understand the context of the conversation.
  • ✓ Source User-Generated Content: Find positive, well-written comments that can be repurposed as testimonials or social proof in your marketing materials.

Field Dictionary

How To Run This Extractor

1

Find the public LinkedIn post you want to analyze.

2

Copy the post's URL, then extract the URN from it.

3

Paste the URN into the required input field.

4

Select whether to sort comments by 'Most relevant' or 'Most recent'.

5

Run the tool and download your data in JSON, CSV, or Excel format.

Frequently Asked Questions

Do I need to be a developer to use this?
No. The main skill required is finding the URN of a LinkedIn post, which is part of its web address (URL).
What's a URN and how do I find it?
Can I scrape comments from a private post or a private group?
What is a 'pagination token'?
What format does the data come in?
Is it legal to scrape LinkedIn comments?
How many comments can I extract from a single post?
Is this suitable for client work at my agency?
How fresh is the data?
Can I schedule this to run automatically?