nzt108_dev
nzt108_dev
[WEB]STATUS: IN_PROGRESS

Social Leads Parser

Social Leads Parser is an intelligent lead generation platform designed to automate the process of finding potential clients across social media. The system monitors designated channels and groups, applies a multi-step filtering pipeline to identify relevant messages, and delivers qualified leads directly to sales managers. The platform supports multiple social networks and uses a sophisticated filtering engine that combines keyword matching, blacklist management, deduplication, and AI-powered validation to ensure only high-quality leads make it through. Built as a backend-first system with a robust API, it provides full CRUD operations for campaigns, sources, leads, and accounts. Each campaign can be configured with custom keywords, stop-words, and AI prompts for maximum targeting precision.

[ SPEC ]Technical Architecture

Sales teams spend countless hours manually scanning social media for potential leads. This repetitive work is time-consuming and easy to miss opportunities. Social Leads Parser was born from the need to automate this process — letting technology handle the monitoring and filtering while humans focus on what they do best: building relationships and closing deals.

[ ROI ]Business Outcomes

With Social Leads Parser, sales teams can capture leads they would otherwise miss entirely. The automated filtering pipeline ensures that only relevant, high-quality leads are delivered, saving hours of manual work daily. The system runs 24/7, monitoring channels even when the team is offline, ensuring no opportunity slips through the cracks.

[ LOG ]Execution Timeline

[✓]
Backend API
[✓]
Filtering Engine
[✓]
Data Validation
[-]
Web Dashboard
[-]
AI Integration
[-]
Notifications
[-]
Social Parsing

> Stack Requirements

PythonFastAPISQLAlchemySQLite

Build Progress

35%
SYS_LOADING
Internal Access Only
Source Code

Need Similar Scope?

I can architect a custom solution matching your specific business logic.

Request Assessment →
< Return to Archive