Engagement-Daten von LinkedIn-Beiträgen mit Airtop extrahieren

README # 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 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", "job_title": "Marketing Director at ExampleCorp", "profile_url": "https://linkedin.com/in/janedoe" } // ... more interactors ], "reactions_count": 153, "comments_count": 21, "reposts_count": 8 }