Private LinkedIn Research Web App

I need a secure, full-stack web application that slips straight into my existing architecture and automates how we gather LinkedIn content for internal research.

Core workflow
• I define a search profile by Industry and/or Geographic Location, save it, and edit it later.
• The system runs a historical sweep, then keeps watching for fresh content that matches each profile.
• A browser-assisted flow (or lightweight extension if easier) lets me trigger or monitor those searches while logged in to LinkedIn.
• For every hit, the app stores the post itself plus complete provenance: author, date, URL, content type, and whether it came from Profile data extraction or Company updates.

Integration points
Only LinkedIn matters right now. The app must hook cleanly into Profile data extraction and Company updates endpoints or scraping routines, without touching Jobs or other areas.

Deliverables
1. Source-controlled codebase fitting my current stack (I’ll share repo structure once we start).
2. Database schema and migration scripts for saved criteria, harvested items, and metadata.
3. Browser workflow or extension that launches searches and feeds results back to the backend.
4. Read-me with setup, environment variables, and a short demo video proving:
– I can add an Industry + Location profile,
– run an initial search,
– see stored results with full metadata,
– watch new items auto-populate.

Acceptance is complete once those four steps run end-to-end on my machine with minimal configuration.