API Integrations & Data Systems

Building seamless connections between multiple APIs and services to create powerful automated workflows

Interactive API Visualizer

Click a connection to view API request/response details

Example Scenario: Multi-API Pipeline

The Challenge

Imagine you need to connect 5+ APIs into a single automated workflow: RSS feeds, a product API, AI processing, and publishing platforms. Each has different authentication methods (API keys, OAuth2, access tokens), rate limits, and data formats—requiring careful orchestration to function seamlessly.

What I'd Build

A unified Python pipeline that handles OAuth2 token refresh, manages access tokens, processes multiple data formats, makes authenticated requests, and orchestrates API calls—all with robust error handling and retry logic.

Authentication Flows

🔐 Google APIs (Blogger)
Method: OAuth2 + Token Refresh
Handles automatic token refresh cycles, manages authorization scopes for Blogger API, securely stores refresh tokens with encryption.
📘 Facebook Graph API
Method: Access Token Management
Manages long-lived access tokens, handles token expiration checks, implements graceful fallback for permission errors.
🤖 Anthropic Claude API
Method: API Key Authentication
Direct API key authentication, rate limiting awareness, streaming response handling for large outputs.
📦 Amazon Associates API
Method: Signed Request Authentication
AWS Signature Version 4 signing, associate tag management, region-specific endpoint routing.
📡 RSS/Atom Feeds
Method: No Authentication
Public feed parsing with XML handling, feed validation, duplicate detection across multiple sources.

Technical Architecture

Data Flow: RSS feeds → Claude analysis → Google Blogger publication → Facebook distribution → Amazon affiliate integration

Key Features:

  • Centralized OAuth2 token management with automatic refresh
  • Rate limiting across all APIs with queue management
  • Error handling and automatic retry with exponential backoff
  • Comprehensive logging for debugging and monitoring
  • Data validation and transformation between formats

Expected Impact

Five different APIs working together seamlessly, running autonomously on your schedule. The pipeline would automatically discover content, enrich it with AI analysis, publish to your platforms, and generate integrations—all without manual intervention. It handles edge cases, recovers from API outages, and maintains data integrity across all systems.

APIs I've Worked With

Click any card to learn more about how I use it.

🤖
Anthropic Claude
Powers chatbots, content generation, and AI processing. Used for the live chatbot demo on this site and automated content pipelines.
🔍
Google APIs
Blogger API for auto-publishing, Google Sheets for data, OAuth2 for authentication, and Calendar for booking integrations.
📘
Facebook Graph
Automated social media posting, page management, and engagement tracking as part of content distribution pipelines.
📦
Amazon Associates
Product data retrieval and affiliate link generation for automated deal-finding and monetized content systems.
💳
Stripe
Payment processing, subscription management, and checkout flows for web apps and SaaS products.
📡
RSS/Atom Feeds
Real-time data collection from news sources, deal aggregators, and content feeds for automated pipelines.
💼
CRM Systems
HubSpot, Salesforce, and GoHighLevel integrations for lead capture, pipeline management, and automated follow-up.
📧
Email Services
SendGrid, Mailchimp, and SMTP integrations for transactional emails, drip campaigns, and automated sequences.
🗄️
Databases
PostgreSQL, MongoDB, Firebase, and Supabase for data storage, real-time sync, and user authentication.
✨
Your API Here
If your tool has an API, I can connect it. Custom integrations built to fit your exact workflow and business needs.

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