Seeking Workflow Ideas & Templates for Hotel Business Automation

Questions
1

Hi everyone,

I’m exploring opportunities to use n8n to automate processes in the hotel industry. I have a background in hospitality and I’m deeply impressed by what n8n can do.

I’m trying to find existing workflows or build new ones specifically for hotel operations, but I’m having trouble finding a direct “hotel” template. I believe hotel operations can be broken down into categories like Support, Marketing, and Sales.

I’d be incredibly grateful if the community could share some ideas, examples, or even existing workflows for the following use cases:

Guest Experience & Support:

  • Pre-Arrival: Sending a welcome email 1-2 days before check-in with details about their stay.
  • Post-Stay: Automatically sending a “Thank You” email after check-out with a link to leave a review on Google/TripAdvisor.
  • Guest Requests: Creating a simple system to handle guest requests coming from WhatsApp or email and notifying the front desk.

Sales & Marketing:

  • Syncing new booking details from a booking engine/channel manager (via webhook or API) to a Google Sheet for daily reporting.
  • Adding guest emails to a marketing list (e.g., Mailchimp) for newsletters.

Operations:

  • Generating a daily “Arrivals & Departures” list and sending it to the housekeeping and front desk teams via email or Telegram.

Has anyone here built something similar or have any pointers on which nodes or workflows would be best to start with for these tasks?

Any help or guidance would be highly appreciated!

Thank you!

2

Thanks for all the suggestions! I’ve actually started building some of these workflows and wanted to share my progress.

I’ve got the pre-arrival welcome email automation working great - it runs every 6 hours and checks for guests arriving in 1-2 days. The email template includes all the key info like WiFi details, breakfast hours, and contact information.

Also built out the post-stay review request system that triggers 24-48 hours after checkout. It automatically sends thank you emails with Google Reviews and TripAdvisor links, plus a return guest discount code.

The daily operations report is probably my favorite - it generates a clean summary of arrivals/departures and sends it to housekeeping and front desk staff each morning. Really helps with coordination.
Similarly instead sending to Email, we can simply send to the whatsapp or telegram of staff

I have shared the workflow with community , I hope this helps.

4

You can find Workflow here,

5

Hi @Gaurav,

Thank you so much for your incredibly detailed suggestions and workflow ideas! This is exactly what I needed and it gives me a very clear path forward.

My apologies for the delayed response.

Your advice on the pre-arrival email, the post-stay email with a TripAdvisor link, and the daily operational report for the staff is brilliant. I will start working on implementing these automations based on your recommendations.

Thanks again for your great help!

6

Hey NAJA, hospitality + n8n is a good match, and honestly most of what you listed is just core nodes wired together. Nothing exotic.

If I were starting, I’d build one thing before any of the guest emails: a flow that catches every new booking and dumps it into a Google Sheet. Webhook node if your booking engine or channel manager can POST on a new reservation, or a Schedule Trigger + HTTP Request polling the API if it can’t. Set node to tidy the fields, then Sheets. Boring, but it’s the backbone. Once your bookings sit in that Sheet, everything else just reads from it instead of pounding your PMS all day.

From there the guest stuff falls out pretty easily. Pre-arrival is a daily Schedule Trigger that reads the Sheet, filters for check-in = tomorrow, and fires a Send Email with your template. Same shape for the post-stay thank-you, just filter on yesterday’s checkouts and drop your Google review link in. One gotcha: write a “welcome_sent” flag back to the row, or someone eventually gets the same email twice and you look sloppy.

The WhatsApp/email guest-requests one is where I’d actually reach for an AI node. WhatsApp Business Cloud trigger (or IMAP for email) → AI node to summarize what they want → Telegram or Slack to the front desk, and log it to a Sheet. Everywhere else the AI node is overkill, but for messy free-text requests it’s worth it.

Your Mailchimp idea works too, just gate it behind an opt-in check. Auto-adding every guest to a newsletter is a fast way into GDPR trouble.

Arrivals & departures for housekeeping is the same daily-Sheet pattern: filter today’s ins and outs, format it in a Code node, send to a Telegram group. And do yourself a favor and add an Error Trigger workflow early — otherwise a silent failure just skips a day of guests and you find out from an angry front desk.

Happy to walk through the booking-sync flow in detail since it unlocks the rest. What’s on your reservation side — an actual PMS/channel manager, or just the booking engine? That’s what decides webhook vs polling.

7

Hey NAJA, I have an idea for the welcome email automation.

Instead of checking for new reservations every six hours—which could result in an email being sent at 4 a.m.—you could schedule the workflow to run once a day, for example at 10 a.m.

You could also estimate the guest’s time zone from the information provided during the booking. For example, a phone number beginning with +34 would usually indicate Spain, which is currently GMT+2. Based on that, the workflow could check whether the delivery time falls within reasonable daytime hours for the guest before sending the email.

Ideally, the automation should use the guest’s country or address when available, as a phone prefix is only an approximation. It could then identify the relevant reservations, confirm that the welcome email has not already been sent, and either send it immediately or delay it until an appropriate local time.

8

On the booking-sync backbone — before wiring anything to Sheets, check what the PMS actually emits. Cloudbeds and Mews have real webhooks; a lot of the smaller ones only give you a nightly CSV or an OTA channel-manager feed, and that flips the whole design from event-driven to diffing today’s export against yesterday’s. Ten minutes of checking saves rebuilding it later.

Extending the timezone point above: don’t estimate from the phone prefix, use the property’s timezone. Guests are travelling to you, so what matters for a pre-arrival email is local time at the hotel, not wherever the guest happened to register from. I build these for small service businesses, so happy to get specific if it’s useful.

9

Spot on points from @colemaffeo6 regarding property timezone vs guest location — pre-arrival emails need to land based on when the guest is actually arriving at your local hotel time!

To add to @NAJA’s setup, there are two critical real-world edge cases in hospitality automation that usually get overlooked until launch day:

### 1. Booking Cancellations & Modifications

If a guest reschedules or cancels via your PMS/OTA, a simple “append to Google Sheet” approach will leave the original check-in date in your system. Result: a cancelled guest receives a “We’re excited to see you tomorrow!” pre-arrival email.

* **Fix:** Use an **Upsert operation** based on `booking_id` rather than a simple Append. If using Google Sheets, search by `booking_id` first. If `status === ‘CANCELLED’`, flag the row so your daily schedule trigger ignores it.

### 2. Google Sheets API Rate Limits & Race Conditions

If you receive multiple booking webhooks simultaneously or run high-frequency polling, Google Sheets API has strict rate limits (60 writes/min) and lacks atomic locks. This can cause duplicate emails if `welcome_sent` isn’t updated instantly.

* **Fix:** For production stability beyond 20-30 rooms, consider using **n8n Data Tables** or **Supabase / Postgres** as your booking cache state instead of Sheets. If sticking with Sheets, perform a quick `booking_id` deduplication check in a Code node before firing the send node.

### 3. Dynamic Multi-Language Templates

Guests speak different languages. Instead of hardcoding English templates:

* Pass `guest_language` from the PMS to a **Switch Node** (or an AI Node for template generation) to dynamically serve the right HTML email or WhatsApp template in their native language.

### :brick: Recommended 4-Stage n8n Architecture:

1. **Ingestion & Normalization:** Webhook / Poller → Code Node (normalizes payload schema into unified fields: `booking_id`, `guest_name`, `check_in`, `language`, `status`).

2. **State Management (Upsert):** Save/Update record by `booking_id` with `welcome_sent = false`.

3. **Scheduled Dispatcher (e.g. 10 AM Local Property Time):** Schedule Trigger → Filter (`check_in == tomorrow` AND `status == CONFIRMED` AND `welcome_sent == false`) → Send Email / WhatsApp.

4. **Post-Send Feedback:** Update `welcome_sent = true` + Error Trigger workflow for instant Slack/Telegram alerts if SMTP/WhatsApp API fails.

If you know which PMS / booking engine you’re using (e.g., Cloudbeds, Mews, Sirvoy, etc.), I can share an n8n workflow template tailored for its webhook schema!

10

The upsert is the right call, though I’d add a layer on top of it: re-check status at send time, not just in the dispatcher filter. Your 10am filter reads a cached row, and a cancellation that lands at 10:04 still goes out. One booking_id lookup against the PMS immediately before the send node costs an API call per email and kills that entire class of “excited to see you tomorrow” messages to guests who already cancelled. Same problem with OTA channels that never fire a cancellation webhook at all, which is more of them than you’d expect. A nightly re-fetch of the next 48 hours of arrivals is cheaper than apologizing.

On the dedupe, the order matters as much as the mechanism. If you send and then set welcome_sent = true, any failure between those two steps gives you a duplicate on the next run. Claim the row first (welcome_sent = 'sending' with a timestamp), send, then mark it sent. Worst case you drop an email instead of doubling one, and stale claims older than an hour are easy to sweep. For pre-arrival, that’s the failure you want.

One that usually shows up in week two: bookings created after the dispatcher runs. Guest books at 4pm for tomorrow, the 10am job already fired, they get nothing. You need either a second afternoon run or an on-create branch that sends immediately when check_in is inside 24 hours.

And on the language switch, pre-translate the templates instead of generating copy at send time. An AI node in the send path is a node that can stall or quietly get the arrival time wrong on a transactional email nobody reads before it goes out.

11

Good points @colemaffeo6, especially around race conditions and last-minute bookings. I have a couple thoughts from running similar setups:

On the PMS check before sending: doing an API lookup per email right inside the send loop can get risky fast if you’re dealing with 30+ check-ins. Most PMS APIs have tight rate limits or slow responses, so doing N requests inside the loop often hits 429s or stalls n8n. What worked better for us is running a single delta fetch right before the dispatch run (like 9:55 AM) to pull any cancellations/updates from the last 24h into the local cache in one batch. Or just rely on cancellation webhooks if the PMS supports them.
On state locking (`sending` vs `sent`): adding a 3-state claim doubles DB writes, which can hurt if you’re still on Sheets or a lightweight cache. In n8n we usually handle this natively: set “Retry on Fail” on the Send node and hook up an Error Trigger sub-workflow. If the send fails, n8n catches the error, alerts Slack/Telegram, and leaves `welcome_sent` as false for the next run.
For last-minute bookings: agree 100% on the edge case, but firing an immediate send on-create can backfire if someone books at 3 AM. A quick Code node after the webhook checking local time works well—if it’s between 8 AM and 9 PM send right away, otherwise queue it for the 8 AM batch.
And totally agree on avoiding AI nodes during dispatch. We only use AI at ingestion to parse raw guest notes or detect language, then pass a simple `guest_language` field to a Switch Node with pre-translated templates. Zero latency, zero risk of hallucinatory arrival times.

12

If it were me I wouldn’t build all of it at once. Get the post-stay review request live first. It’s the best return of anything on your list and it’s genuinely a half-hour job: a Schedule Trigger each morning, grab that day’s checkouts from wherever your bookings sit, then a Gmail or SMTP node firing the “thanks for staying, mind leaving a review” mail with the Google/TripAdvisor link in it. Dull to build, but it reliably lifts review counts, and reviews are what actually move future bookings.

Pre-arrival welcome is the same workflow with the date flipped to check-in minus a day or two, so once you’ve built one you’ve basically built both. The only real fork is where the data comes from. Bookings in a Google Sheet? Schedule Trigger plus a date filter, done. In a PMS or channel manager? Don’t poll it, use its webhook so n8n reacts the moment a booking drops.

The guest-requests one is where I’d tell you to not overthink it. Everyone tries to build a full ticketing system on day one and it’s overkill. An email trigger (or the WhatsApp/Twilio node), an IF that checks for a keyword, a message into a Telegram or Slack channel the front desk actually watches. A dumb shared channel beats a clever database nobody keeps updated.

Arrivals and departures to housekeeping is the trivial one: schedule it, pull today’s arrivals and departures, Telegram the formatted list to the group.

But, all of these live or die on getting clean booking and rate data into n8n, and that’s the step that quietly falls over. If you end up scraping Airbnb or Booking pages for it, it’ll break every few weeks when they change their markup, and it breaks silently, so you find out when a guest didn’t get their email. Put a real API behind that step instead of a scraper.

StayingAPI, the one that I have used, hands back Booking, Google Hotels, Airbnb and Vrbo data as JSON straight from an HTTP Request node, with MCP tools too if you later want an AI agent driving it. Rate monitoring is a nice one to add once the email flows are steady, same shape, pull competitor rates on a schedule, compare to yours, Slack ping when someone undercuts you.

13

+1 to the upsert-by-booking_id advice above — Append-only Sheets is the #1 way hotel automations silently break. Three more high-ROI workflows I’d add for a hotel:

  1. Pre-arrival upsell: Schedule Trigger (daily, 7 days before check-in) → Sheets filter (confirmed, no upsell sent) → WhatsApp/email with room-upgrade offer → log response. This one directly prints money.
  2. Review rescue: Google/TripAdvisor review webhook → AI sentiment check → 1–2 star reviews instantly alert the manager on Telegram/Slack before they fester.
  3. No-show guard: check-in day + 2h, status still “expected” → automated “are you on your way?” message → frees the room faster if cancelled.

I indexed 38,000 n8n workflows by department/integration — booking, notification and review-automation matches are searchable here: https://n8n-enterprise-suite.pages.dev/