Home Assistant and HTTP Request integration

How it works: Schedule Trigger** on a daily basis (configured at 7.30 am) Connects Google Contacts** to get personal information from them Field Checker** on birthday date & firstnames. And see if there is any celebration for today Send a Telegram Notification** and display the message on a Google Home Speaker via Home Assistant if any celebration has matched Set up steps: Download* the workflow and import* it into your n8n instance Configure accounts** for Google Contacts, Telegram and Home Assistant And you will be good to go

Get a personalized list of garage sales happening today, based on your current location, directly in Telegram each morning! This n8n workflow integrates Home Assistant and Brocabrac.frto: Automatically detect your location every day Scrape and parse garage sale listings from Brocabrac Filter for high-quality and nearby events Send a neatly formatted message to your Telegram account Perfect for treasure hunters and second-hand enthusiasts who want to stay in the loop with zero effort!

Notify on menu orders via ntfy and Home Assistant TTS with daily BAC tracking Receive instant push notifications on your phone and voice announcements on your Google Home every time someone orders from your intranet menu — with cumulative BAC tracking per person. > Full documentation & step-by-step setup guides: > 📖 Notion Documentation > 💻 GitHub Repository What This Workflow Does Every time a customer submits an order from your intranet menu website, this workflow: Receives the order via Webhook Logs it to an n8n DataTable and reads all orders for that person today Calculates the cumulative BAC (Blood Alcohol Content) using the Widmark formula Sends a push notification via ntfy (with order history + BAC level) Triggers a Home Assistant script → voice announcement on Google Home No cloud TTS fees. No external AI services. Fully self-hosted. Flow Webhook → Prepare Order → DataTable (INSERT) → Read Today's Orders → BAC Calculator → ntfy Push Notification → Home Assistant TTS Example Output Push notification (ntfy app): 🛎 Order from Mario Mario: 1x Pizza, 2x Beer 33cl 🕐 12:30 📋 Ordered before: 1x Prosecco 🕐 11:45 🍸 BAC ~0.54 g/L 🔴 Google Home voice announcement: Mario has ordered Pizza Prerequisites Before importing this workflow, you need: A running n8n instance (self-hosted or cloud) reachable from the internet Home Assistant** on your local network (e.g. homeassistant.local:8123) At least one Google Home (or Chromecast-capable) device added to HA via the Google Cast integration ntfy** deployed via Docker (self-hosted push notification server) A public HTTPS URL for ntfy — recommended via Cloudflare Tunnel (no open ports needed) An Android or iOS device with the ntfy app installed Credentials Required | Credential | Used For | | ------------------------------------------------------ | ---------------------------------------- | | Home Assistant | Calling the annuncia_ordine TTS script | | Header Auth (Authorization: Bearer <ntfy_token>) | Sending authenticated requests to ntfy | n8n DataTable Schema Create a DataTable in n8n → Data → Tables with these columns: | Column | Type | Description | | -------------- | ------ | ------------------------------------------------------ | | item | Text | Full order string (e.g. "2x Negroni, 1x Messina 33cl") | | person | Text | Normalised person name | | alcol_grammi | Number | Total grams of alcohol for this order | | data | Text | ISO date (YYYY-MM-DD) | | orario | Text | Time string from the order | Copy the DataTable ID and paste it into the DataTable nodes inside the workflow. Webhook Payload Your menu website must POST this JSON to the Webhook Production URL: { "name": "Mario", "time": "26/03/2026, 12:30:00", "order": [ { "section": "Food", "name": "Pizza", "details": "", "quantity": 1 }, { "section": "Drinks", "name": "Beer", "details": "33cl", "quantity": 2 } ], "total": 3 } Setup Steps Deploy ntfy (self-hosted push notifications) Add ntfy to your docker-compose.yml: ntfy: image: binwiederhier/ntfy command: serve volumes: ./ntfy/config:/etc/ntfy ./ntfy/data:/var/lib/ntfy ports: "8095:80" In server.yml, set auth-default-access: deny-all. Then create an admin user and generate a token: docker exec -e NTFY_PASSWORD="your_password" ntfy ntfy user add --role=admin admin docker exec ntfy ntfy token add admin Expose ntfy over HTTPS (Cloudflare Tunnel) Add an ingress rule to your Cloudflare Tunnel config: hostname: ntfy.YOUR_DOMAIN.com service: http://localhost:8095 Configure Home Assistant TTS In HA, go to Settings → Automations & Scenes → Scripts → Add script → Edit in YAML and paste: alias: annuncia_ordine sequence: action: tts.speak target: entity_id: tts.google_translate_en_com data: media_player_entity_id: media_player.YOUR_GOOGLE_HOME_ENTITY message: "{{ message }}" language: it mode: single > Replace media_player.YOUR_GOOGLE_HOME_ENTITY with your actual entity ID. Then go to your HA profile → Security → Long-lived access tokens → create and copy a token. Import and configure the workflow Import the workflow JSON into n8n Create the DataTable (columns listed above) — copy its ID Create the Header Auth credential for ntfy: Header Name: Authorization Header Value: Bearer YOUR_NTFY_TOKEN Create the Home Assistant credential: Host: http://homeassistant.local:8123 Access Token: your HA long-lived token In the ntfy notification node, replace YOUR_TOPIC in the URL In the Home Assistant TTS node, set the message attribute expression: ={{ $('Webhook').item.json.body.nome }} has ordered {{ $('Webhook').item.json.body.ordine[0].nome }} Activate the workflow and copy the Webhook Production URL Configure your menu website Set the webhook URL in your menu site config: // menu-data.js "orderWebhook": "https://YOUR_N8N_DOMAIN/webhook/menu" BAC Calculation (Widmark Formula) BAC [g/L] = total_alcohol_grams_today / (70 × 0.68) Assumes ~70 kg body weight. Italian legal driving limit: 0.5 g/L | Emoji | Level | BAC | | ----- | ---------- | ------------- | | ⬜ | None | 0 g/L | | 🟢 | Low | < 0.2 g/L | | 🟡 | Warning | 0.2 – 0.5 g/L | | 🔴 | Over limit | > 0.5 g/L | BAC is cumulative per day per person and resets automatically the next day. Customization | What | How | | ----------------------------------------- | ------------------------------------------------------------ | | Change the TTS message | Edit the message expression in the HA TTS node | | Announce all ordered items | Use $json.body.ordine.map(i => i.quantita + ' ' + i.nome).join(', ') | | Change TTS language | Edit language in the annuncia_ordine HA script | | Announce on multiple Google Home devices | Add multiple media_player_entity_id entries to the HA script | | Disable TTS (keep only push notification) | Remove or deactivate the Home Assistant TTS node | Security | Layer | Mechanism | | -------------------- | ---------------------------------------------------- | | Transport (ntfy) | HTTPS via Cloudflare Tunnel | | ntfy access | auth-default-access: deny-all — no anonymous reads | | n8n → ntfy | Dedicated Bearer token (revokable, no expiry) | | n8n → Home Assistant | Long-lived access token | | Mobile app | Username/password on the ntfy server | Documentation & Source | | | | ------------------------ | ------------------------------------------------------------ | | 📖 Full documentation | Notion — step-by-step setup guides | | 💻 GitHub Repository | paoloronco/n8n-templates | Related Resources ntfy.sh documentation Home Assistant TTS documentation Home Assistant Scripts Google Cast integration n8n Home Assistant node

Overview This n8n template demonstrates how you can generate an AI-produced weather analysis of your local radar loop and home assistant precipitation sensor(s) to keep your family informed of National Weather Service Alerts. With as crazy as things have been lately in the open world, how will you and your family know when a severe or extreme alert impacts your area? How it Works This workflow is triggered by a webhook which takes a latitude and longitude json payload to identify the area for monitoring. Then, it fetches the National Weather Service Alerts and filters them down to alerts which are currently active and their severity. Next, it fetches the local precipitation value from your Home Assistant instance (a value like "Light Rain" or "No Rain", etc) coupled with your respective weather.gov radar loop image. It then submits this data to OpenAI and produces an output regarding the image analysis. Finally, it takes this analysis and uses OpenAI to again generate a short summary. How to Use Import the workflow into your n8n instance Update the credentials in the problematic nodes Make sure you adjust the radar loop image that is being used Requirements A Home Assistant Instance (you could remove this data if you wanted) An OpenAI account for LLM and image analysis