Extract LinkedIn Post Engagement Data with Airtop

Description

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.