Holiday Cabins: Competitor Price Monitoring and Social Media Intelligence

Client and challenge

The owner of 8 premium holiday cabins on the Polish Baltic coast near Mielno. The property runs year-round, with the main season in June–August. Cabins are premium-grade with saunas and jacuzzis — nightly rates from 450 to 850 PLN depending on the season.

The problem: The owner had no reliable data on what competitors were charging week to week. He wasn't tracking what they were posting on Facebook and Instagram. He was manually checking 12 competing properties — their websites, Booking.com listings, and social profiles — a task that consumed 4–6 hours every week, and even then he was perpetually one step behind.

The core pain points:

No pricing data — rates reviewed every 2–3 weeks, with a significant lag. A competitor would cut prices for a weekend, and the owner found out on Monday
Missed competitor promotions — last-minute deals, family packages, holiday offers appearing on Facebook, but the owner had no capacity to follow 12 profiles
No pricing strategy — rates set by gut feeling, without data. Either too high (cabins sat empty) or too low (money left on the table)
Competitor social media invisible — no visibility into what they were promoting, what packages were selling, what was working in their marketing

Solution

I built three automated n8n workflows that run without the owner's involvement:

1. Competitor price monitoring (daily)

The workflow automatically checks prices across 12 competing properties every morning at 7:00 AM. It pulls data from Booking.com and the properties' own websites, compares against the owner's rates, and flags any changes.

12 competitor properties within a 15 km radius
Prices across 4 date types: weekend, week, long weekend, holiday week
Automatic comparison against the owner's current rates
Price change alerts when a competitor moves up or down by more than 10%

2. Competitor social media monitoring (daily)

A separate workflow tracking Facebook and Instagram activity across all 12 competitors. It detects new posts, promotions, last-minute offers, and profile description updates.

New post detection on FB and Instagram
Keyword detection: promotion, last-minute, discount, sale, package
Competitor posting frequency analysis
Screenshots of new offers for easy review

3. Daily AI email report with action suggestions

At 8:00 AM the owner receives a single email with a complete market overview. The AI-generated report doesn't just present data — it gives concrete recommendations.

Price change table (who raised, who cut, by how much)
New competitor posts and promotions
AI suggestion: whether to adjust pricing or counter with an offer
Friday weekly summary with trend analysis

Deployment

Phase	Timeline	What
Days 1–2	Market analysis	Identifying 12 competitors, mapping data sources (Booking, websites, FB, IG)
Days 3–5	Price workflow	Price scraper setup, comparison database, alert logic
Days 6–8	Social workflow	FB/IG monitoring integration, keyword filtering, screenshots
Days 9–10	AI report	Email template setup, AI suggestion prompt, testing

Total deployment time: 10 working days. The owner provided the competitor list and his current rate card. Everything else was done remotely on my side.

Results after 4 months

Metric	Before	After	Change
Time spent on competitor analysis	4–6 h/week	15 min/day (reading the report)	−80%
Price check frequency	Every 2–3 weeks	Every day, automatically	14× more often
Reaction time to competitor promotions	3–7 days (or never)	Same day	2× faster
Off-season occupancy	~42%	~50%	+8 pp
Average nightly rate (season)	620 PLN	655 PLN	+5.6%
Competitor posts detected	~20% (whatever he happened to see)	100%	Full visibility

Cost and return on investment

One-time setup fee: 3,800 PLN (3 workflows + full configuration + 12 data sources)
Monthly running cost: 499 PLN (workflow hosting + monitoring + maintenance)
Value of recovered time: ~18 h/month × 50 PLN/h = 900 PLN
Value of higher occupancy: 8 cabins × 8% more nights × 600 PLN/night = ~3,840 PLN/month additional revenue
Payback period: First month of operation

Key takeaways

Pricing data is a strategic weapon. Most properties set rates by gut feeling. The one with daily data makes better decisions.
Competitor social media is free market intelligence. You see what they're promoting, which packages are selling, when they have empty slots.
A daily report replaces hours of manual browsing. One email at 8 AM with concrete suggestions — nothing more needed.
Same-day reaction changes the game. Competitor launches a last-minute deal? The owner knows that same morning and can respond.

I used to check competitor prices every two weeks and always felt one step behind. Now I open the report over morning coffee and know exactly what's happening in the market.