Apollo.io Reference Architecture

About

This skill provides a comprehensive blueprint for building high-performance sales intelligence systems using Apollo.io. It guides developers through implementing a layered architecture including service logic for lead enrichment, robust data models for contacts and companies, and background job processing to handle high-volume data syncs. Whether you are building a custom CRM integration or an automated prospecting engine, this skill ensures your system follows industry best practices for rate-limiting, caching, and event-driven data flows.

Key Features

• Production-grade error handling and API rate-limit management
• Built-in integration patterns for Salesforce and other CRM platforms
• 982 GitHub stars
• Pre-defined TypeORM schemas for contact and organization data persistence
• Layered service architecture for modular search and enrichment logic
• Scalable background job processing patterns using Bull and Redis

Use Cases

• Building a custom B2B lead enrichment pipeline with Apollo.io
• Developing automated workflows to sync sales intelligence data into a CRM
• Designing high-scale background processors for contact data validation