Extract LinkedIn Post Engagement Data with Airtop

LinkedIn Post Engagement Data Extractor

Use Case This automation is designed to extract key engagement metrics and audience data from a LinkedIn post. It's useful for analyzing the impact of content and identifying engaged users for lead generation, marketing, or research purposes.

What It Does Given a LinkedIn post URL and an Airtop profile, this automation extracts:

Total number of reactions Total number of comments Total number of reposts A list of users who reacted or commented, including: Their full name Their job title A link to their LinkedIn profile

Input Parameters

| Name | Description | Required | |------------------|------------------------------------------------------------|----------| | airtop_profile | The name of an Airtop Profile that's logged into LinkedIn | Yes | | linkedin_post_url| The full URL of the LinkedIn post you want to analyze | Yes |

How It Works

The workflow starts when triggered manually or from another workflow/form. It maps input fields for Airtop profile and post URL. Airtop opens a browser session and loads the LinkedIn post. An AI agent is instructed to extract engagement data via prompt-based analysis. The response is parsed and output in a structured format.

Output Format

The output will be a structured JSON object with the following fields:

{ "interactors": [ { "name": "Jane Doe", "job_title": "Marketing Director at ExampleCorp", "profile_url": "https://linkedin.com/in/janedoe" } // ... more interactors ], "reactions_count": 153, "comments_count": 21, "reposts_count": 8 }

Read more about how to extract Linkedin post comments and reactions.