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 | |------------------|------------------------------------------------------------|----------| | airtopprofile | The name of an Airtop Profile that's logged into LinkedIn | Yes | | linkedinposturl| The full URL of the LinkedIn post you want to analyze | Yes | How It Works 1. The workflow starts when triggered manually or from another workflow/form. 2. It maps input fields for Airtop profile and post URL. 3. Airtop opens a browser session and loads the LinkedIn post. 4. An AI agent is instructed to extract engagement data via prompt-based analysis. 5. The response is parsed and output in a structured format. Output Format The output will be a structured JSON object with the following fields: `json { "interactors": [ { "name": "Jane Doe", "jobtitle": "Marketing Director at ExampleCorp", "profileurl": " } // ... more interactors ], "reactionscount": 153, "commentscount": 21, "repostscount": 8 } Read more about how to extract Linkedin post comments and reactions.