DateAgents System Dashboard & Tech Specs
System Overview & Architecture
Complete metrics, Apify MCP scraping pipeline specification, AI provider abstractions, and database models.
People Profiles25LinkedIn + IG Sources
Autonomous Agents25Persona Representatives
Dating Sessions13Dynamic LLM Turn-Taking
Average Compatibility86%5-Axis Evaluation
Technical Explanation of Instagram + LinkedIn Scraping Architecture
LinkedIn Adapter Architecture
Target Actor: harvestapi/linkedin-profile-search
Mode: profileScraperMode = "Full"
- Extracts verified full name, headline, summary/about.
- Parses professional experience history, companies, and roles.
- Extracts verified skills, education, and geographic location.
- Ensures no login bypass or CAPTCHA circumvention; public API only.
Instagram Adapter Architecture
Target Actor: apify/instagram-profile-scraper
Mode: Public profile URLs / usernames
- Extracts bio text, website links, followers count, verification status.
- Parses latest public post captions, timestamps, and engagement metrics.
- Rejects private profiles gracefully without crashing the app.
- Extracts lifestyle signals (hobbies, travel, photography).
End-to-End Pipeline Data Flow
1. Real Person URLs
2. Apify Scraper
3. Source Normalizer
4. AI Analysis
5. Dynamic Agent Date
6. Rankings Matrix
Full Technology Stack
Next.js 16 (App Router)
React 19 & TypeScript
Tailwind CSS v4
Prisma & SQLite/Postgres
Apify Client SDK
Gemini / Groq / OpenRouter