Successfully integrated Meta APIs (Facebook, Instagram, and WhatsApp Business) into a Reputation Management SaaS platform, enabling businesses to efficiently monitor and manage their online presence. The integration allowed users to streamline customer interactions, automate responses, track brand sentiment, and enhance engagement across multiple Meta-owned platforms—all from a centralized dashboard.
In this project, I successfully integrated Meta APIs (Facebook, Instagram, and WhatsApp Business) into a Reputation Management SaaS platform, enabling businesses to efficiently monitor and manage their online presence. The integration allowed users to streamline customer interactions, automate responses, track brand sentiment, and enhance engagement across multiple Meta-owned platforms—all from a centralized dashboard.
The key functionalities implemented included:
✅ Facebook & Instagram API Integration:
Automated Review & Comment Management: Fetched reviews, comments, and messages from business pages in real-time, allowing businesses to respond directly from the SaaS platform.
Sentiment Analysis: Integrated AI-driven sentiment tracking to categorize user feedback and provide actionable insights.
Post Scheduling & Analytics: Enabled users to schedule posts, monitor engagement metrics, and analyze audience interactions.
✅ WhatsApp Business API Integration:
Automated Chatbot & Customer Support: Implemented an AI-powered chatbot that provided automated responses to FAQs, ensuring quick customer resolution.
Message Sync & Notifications: Enabled real-time synchronization of customer messages with notifications to prevent delayed responses.
CRM Integration: Linked WhatsApp conversations with CRM data to provide businesses with customer history and personalized interaction logs.
✅ Security & Authentication:
Implemented OAuth 2.0 authentication for secure access to Meta APIs.
Ensured compliance with Meta’s data privacy policies to protect user information.
✅ Performance & Scalability:
Developed a high-performance backend using Node.js and Python (Flask/Django) to handle API requests efficiently.
Optimized database queries using MongoDB/PostgreSQL for real-time data retrieval.
Utilized AWS (Lambda, S3, SNS) for cloud storage, notifications, and scalable deployment.
This integration empowered businesses with centralized reputation management, real-time social media monitoring, and AI-driven automation, significantly improving customer engagement and brand perception.
