Discover High-Performing LinkedIn Content and Engagement Metrics
Keywords to search for LinkedIn posts. Supports Boolean operators (e.g. '"AI agent" OR "LLM"'). Each query runs as a separate search. Limited to 85 characters per query by LinkedIn.
Maximum number of posts to retrieve per search query that meet the engagement criteria.
Only return posts with at least this many total engagements (reactions + comments + reposts). Set higher to find only viral posts.
How to sort the scraped posts.
Quick filter for post recency. Options marked (fast) are filtered server-side by LinkedIn for better performance.
Exclude posts older than this date. Pick a calendar date or a relative period like '7 days', '2 weeks'. Use this for precise date cutoffs beyond what the Date Range dropdown offers.
Page number to start scraping from (1-based). Useful for resuming interrupted scrapes or paginating through large result sets.
Results to deliver
100 creditsThis agent actively searches live listings — results may vary. You are only charged for what is delivered, up to this number.
Lagic Proxy
Pricing
This tool extracts LinkedIn posts based on your search queries, providing data points like total engagements, reactions, comments, and reposts, enabling you to analyze successful content strategies.
### Find What Resonates on LinkedIn Understanding what content captures attention on LinkedIn is crucial for any marketing, sales, or content strategy. The LinkedIn Viral Posts Finder helps you do exactly that by extracting posts that meet your specific engagement criteria. Instead of guessing, you get data-backed insights into what's truly resonating with audiences in your target niches. ### Targeted Content Discovery Start by defining your `Search Queries`. You can look for anything from "artificial intelligence trends" to specific industry topics. The tool allows for Boolean operators like `"AI agent" OR "LLM"` to refine your searches. Keep in mind LinkedIn's 85-character limit per query. You then specify the `Maximum Posts per Query` to control the volume of results. ### Pinpoint Viral Content The `Minimum Engagement` setting is where you define "viral." Set a higher number to filter out less popular posts and focus only on content that has generated significant reactions, comments, and reposts. This means you're not just getting posts; you're getting *impactful* posts. You can sort your results by `engagement`, `recent` activity, `reactions`, or `comments` to prioritize what matters most for your analysis. ### Timely Insights Whether you need current trends or historical context, the `Date Range` filter allows for quick selection (e.g., 'past-week', 'past-month'). For more granular control, use the `Posts Not Older Than` field to specify an exact date or a relative period like '7 days' or '2 weeks'. This ensures your data is fresh and relevant to your needs. ### What You Get For each post, you receive detailed metrics: the number of comments, reactions, and reposts, plus a calculated total engagement score. You also get the full post content, its unique URL, and information about the author, including their name, headline, and profile URL. This comprehensive data allows for deep analysis of content themes, author profiles, and engagement patterns.
Provide your `Search Queries` (e.g., "future of AI marketing") to specify the topics you want to explore.
Set a `Minimum Engagement` threshold to ensure you only retrieve posts that have achieved a certain level of virality.
Choose how to `Sort Results By` (engagement, recent, reactions, or comments) to prioritize your findings.
Define a `Date Range` or `Posts Not Older Than` to focus on recent trends or historical data.
Run the tool, and it will navigate LinkedIn to find posts matching your criteria.
Receive a structured dataset containing post content, author details, and engagement metrics for your analysis.