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Development of a Multi-Source Lead Aggregation and Real-Time Update Web Platform

dataforest.ai

Information technology

Advertising & marketing

eCommerce

Financial services

Insurance

Retail

Challenges in Lead Data Aggregation and Management

Current lead generation processes suffer from fragmented data sources, outdated contact information, duplicate entries, and time-consuming manual searches. Existing solutions lack real-time update capabilities and comprehensive filtering options, leading to reduced sales efficiency and competitive disadvantage.

About the Client

Data engineering and AI solutions company specializing in lead generation tools and data analytics platforms

Key Objectives for Lead Aggregation Platform Development

Aggregate leads from multiple sources (Google Places, Facebook, Yelp, Yellowpages) in one platform
Implement automated data deduplication and quality verification processes
Enable real-time updates with minimum 10-minute intervals
Develop advanced filtering system with 900+ predefined categories
Ensure immediate usability of collected lead bases without manual cleaning
Automate data delivery via email and in-platform notifications

Core System Functionalities and Features

Parallel lead scraping from 4+ sources with automatic deduplication
Real-time update scheduler (minimum 10-minute intervals)
904-category filter system with location-based search
Automated data quality verification engine
Secure cloud storage with PostgreSQL database
Email notification system for update delivery

Technology Stack Requirements

ReactJS

PostgreSQL

AWS

Docker

Redis

External System Integrations

Google Places API
Facebook Business API
Yelp Fusion API
Yellowpages Business Directory

Performance and Security Requirements

Horizontal scalability for 1M+ daily entries
Search response time under 1 second for 95% queries
AES-256 data encryption at rest and in transit
99.9% platform uptime SLA
SOC 2 Type II compliance

Expected Business Impact of Lead Aggregation Platform

Implementation of this solution is expected to reduce lead acquisition time by 70%, improve data accuracy to 98%+, and provide competitive advantage through real-time market insights. Automated updates will eliminate manual re-collection efforts while advanced filtering capabilities will enhance targeting precision for sales teams across multiple industries.