Ble beacon mapper

★ 6.0 · n8n · medium · 11 nodes

Ble beacon mapper is an n8n automation template that receives BLE (Bluetooth Low Energy) beacon scan data via webhook and maps beacons to locations or assets using AI-assisted classification. Reach for it when you need to automatically log beacon positions across a facility, when keeping a spreadsheet of equipment locations up to date by hand is too slow, or when you want to semantically match beacon signals to zone descriptions rather than rely on exact ID lookups. Trigger: Webhook. Integrations: Hugging Face Embeddings, OpenAI, Google Sheets. The workflow ingests incoming scan payloads, runs them through Hugging Face embeddings and OpenAI for enrichment and matching, then writes structured results to Google Sheets. The direction is inbound data processing and mapping — not outbound device control or beacon broadcasting. It differs from plain IoT-logging templates by applying vector embeddings for semantic matching. Suitable for teams with an existing BLE beacon infrastructure and a self-hosted or cloud n8n instance; not a fit if beacon data arrives over MQTT or another protocol without a webhook adapter in front of it.