AI WhatsApp Data Extractor

I need a small but rock-solid tool that sits between several WhatsApp groups and my data stack. The goal is simple: as soon as a new post hits any of those groups, its text content and the poster’s contact information should flow straight into a live Google Sheet and, at the same moment, into my own CRM (an internally built system we call Base44). Real-time speed is essential; a delay of more than a few seconds defeats the purpose. I am open to whichever technical route you prefer—WhatsApp Business API, a headless device bridge, or a clever hybrid—as long as it respects WhatsApp policies and stays resilient if numbers change or a session drops. AI or NLP components are welcome for cleaning the text, detecting language, and tagging key phrases before the data lands in the sheet and CRM. Deliverables • A runnable script, micro-service, or lightweight app that captures group traffic 24/7 • Live integration with Google Sheets (append-only, no overwriting) • Live push into Base44 via its REST endpoints (documentation supplied after award) • Basic NLP enrichment: remove emojis, normalise case, and tag the first three keywords per message • Setup guide and short Loom walkthrough so my team can redeploy it without you Acceptance criteria 1. New messages and contacts appear in Google Sheets and Base44 within ten seconds. 2. No duplicate rows after 48 hours of continuous operation. 3. Solution runs on a modest cloud VM (2 vCPU, 4 GB RAM) without manual babysitting. If you have prior experience bridging WhatsApp with external systems, especially in real time, that will stand out. Let me know how you plan to tackle the WhatsApp session reliability issue and what libraries or frameworks you would lean on.

Project ID: 40532305