API & Integration

LinkedIn Connection Tracker

REST API & OAuth 2.0 application tracking connection lifecycle states

LinkedIn connection tracker architecture using OAuth 2.0, FastAPI and PostgreSQL

Project Overview

Developed a specialized tracking tool using Python, FastAPI, and PostgreSQL to manage LinkedIn network expansion. Authenticated via OAuth 2.0, the system tracks connection invite states, maintains historical records in PostgreSQL, and generates analytical dashboard statistics to measure network response rates.

The Problem

Tracking outgoing networking outreach and connection status across industry contacts was difficult without automated state tracking.

The Solution & Architecture

Built a secure FastAPI backend with OAuth 2.0 integration that persists connection request state changes to PostgreSQL and provides statistical summaries via REST endpoints.

System Data Flow:
LinkedIn OAuth 2.0 API→FastAPI Backend→State Manager→PostgreSQL Database→Dashboard Statistics

Key Engineering Highlights

OAuth 2.0 authentication flow
LinkedIn API integration for network data
Connection lifecycle state tracking (Pending, Accepted, Rejected, Withdrawn)
Structured persistence in PostgreSQL database
Dashboard statistics for outreach metrics
API unit and integration testing

Technologies Used

PythonFastAPILinkedIn APIOAuth 2.0PostgreSQLREST API

Interested in this Pipeline?

I can build similar production-grade Lakehouse or API data ingestion systems for your organization.

Contact Owais Ahmad