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LinkedIn Posts Scraper — LinkedIn | Lagic

Built ForMarketing & AdvertisingMarket ResearchSales & Business Development

Uncover Engagement and Content Insights from Any LinkedIn Post

Curated by Lagic·Verified working

Configure Agent

URL of the LinkedIn post to scrape

Results to deliver

1,900 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

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

Sample Data Preview

Post URL, ID, and timestampAuthor's profile picture, user ID, and account typePost headline and full text (original and parsed HTML)Number of likes and commentsLinks to any embedded images or videosData for any external links found in the post
https://...10095Value...899https://...https://...
https://...10094Value...712https://...https://...
..................
Exports as:CSVXLSXJSON

Overview

This tool extracts detailed data from individual LinkedIn posts, including likes, comments, tagged users, embedded links, and the full post text. Understand content performance and audience reactions on a granular level.

### Understand LinkedIn Content Performance Gain a deeper understanding of how specific content performs on LinkedIn with this Post Scraper. By providing a single LinkedIn post URL, you receive a comprehensive dataset about that post and its immediate engagement. This is invaluable for content strategists, social media managers, and market researchers looking to dissect successful (or unsuccessful) content. ### Granular Engagement Metrics The tool goes beyond surface-level metrics. You'll get the total number of likes and comments, along with a snapshot of the top visible comments. Each comment includes the commenter's name, user ID, and the text of their comment, offering direct insight into audience sentiment and discussion points. This level of detail helps you gauge not just *how much* engagement a post received, but *what kind* of engagement. ### Content and Contextual Data Beyond engagement, the scraper delivers the core content of the post itself: the original text, any embedded images or videos, and external links. It identifies companies and people tagged within the post, providing crucial context about collaborations, mentions, and key players involved. For posts that include external links, detailed data about those links is also extracted, allowing you to analyze the types of resources shared and their associated metadata. ### Strategic Applications Use this data to inform your content strategy, analyze competitor campaigns, identify industry influencers through their post engagement, or conduct sentiment analysis on specific topics. The structured output makes it straightforward to integrate into your existing analytics workflows or simply review for quick insights.

Key Capabilities

  • Post URL, ID, and timestamp
  • Author's profile picture, user ID, and account type
  • Post headline and full text (original and parsed HTML)
  • Number of likes and comments
  • Links to any embedded images or videos
  • Data for any external links found in the post
  • Names and links of tagged companies and people
  • Top visible comments, including commenter details, text, and reaction counts
  • Analyze competitor content strategy by reviewing their most engaging LinkedIn posts and the discussions they generate.
  • Benchmark your own LinkedIn content performance against industry leaders by examining their engagement metrics.
  • Identify key influencers and potential partners by observing who is tagged in high-performing posts and who is commenting.
  • Conduct sentiment analysis on specific industry topics or brand mentions by extracting comments from relevant posts.
  • Gather examples of successful post formats, headlines, and calls-to-action for your own content creation.
  • Research trending discussions and audience interests by looking at the comments and reactions on viral posts.
  • Monitor public perception of a product launch or announcement by scraping reactions and comments on its initial LinkedIn posts.

Field Dictionary

How To Run This Extractor

1

Locate the specific LinkedIn post you wish to analyze.

2

Copy the full URL of that LinkedIn post from your browser's address bar.

3

Paste the copied LinkedIn Post URL into the designated 'LinkedIn Post URL' input field.

4

Start the tool and wait for the data extraction process to complete.

5

Download the structured data containing all the extracted post information.

Frequently Asked Questions

What skill level is needed to use this tool?
No coding skills are required. You simply provide the LinkedIn post URL.
What formats can I export the data in?
Is the data extracted compliant with privacy regulations?
Can I scrape multiple posts at once?
How reliable is the data extraction?
How fresh is the data I receive?
What kind of information is included about the comments?
Will I get all comments on a post?
Can I get data on the post author's other activity?
Is there a limit to how many posts I can scrape?