LinkedIn High Engagement Automation Architecture
System Overview
Single main Python script drives discovery, post fetch, AI comment generation, optional browser auto-post, and dashboard output.
Architecture Diagram
graph LR
ConfigFile["config.py<br/>cookies + API keys"]
MainScript["linkedin_high_engagement.py"]
LinkedInSite["LinkedIn"]
OpenAiApi["OpenAI"]
BrowserAutomation["Playwright / Selenium"]
DashboardUi["dashboard.html"]
ConfigFile -->|"loads session + settings"| MainScript
MainScript -->|"finds profiles + posts"| LinkedInSite
MainScript -->|"generates comment drafts"| OpenAiApi
MainScript -->|"optional auto-post"| BrowserAutomation
BrowserAutomation -->|"posts comments"| LinkedInSite
MainScript -->|"writes results for UI"| DashboardUi
How to read this diagram
Arrows mean flow / dependency / "talks to", not button clicks. Each arrow label says what happens on that step.
Core Components
- Discovery of senior profiles
- Post scraping
- Comment generation
- Optional auto-post loop
- Dashboard UI for review/filter/post
Technology Stack
| Layer | Technology |
|---|---|
| Language | Python |
| AI | OpenAI |
| Browser | Playwright / Selenium |
| UI | dashboard.html |