Hotel Price Tracker: The Best Apps in 2026 (and How to Build Your Own)
This guide compares the hotel price tracking apps worth using in 2026, shows which ones keep price history, and walks through building a tracker with history across booking sites.
Table of contents

The best hotel price tracker depends on the job: Google Hotels for a free alert on one hotel and your exact dates, Kayak for watching a whole destination, Hopper for a book-or-wait call, and a couple of smaller trackers if you want to see price history.
Most of them watch one booking site at a time, and of the big apps only Google shows where a price has been, for the last 30 days.
Flights solved this years ago (set an alert, see the fare graph, book on the dip), and hotels are still catching up.
Your actual job is usually one of two things: know when a specific hotel's price drops for your dates, or know whether today's price is high or low for that property.
This guide shows how to track hotel prices with the apps worth using, covers the rebooking check for prices that fall after you book, then walks through building your own tracker: price history, every major booking channel, data you keep.
Key Takeaways
- Of the big four, only Google shows price history. It charts the last 30 days for your hotel and dates; Hopper and Kayak alert you on changes and show nothing behind them (Expedia's documented price tracking covers flights), while smaller trackers like hotelpricetracker.io and a Booking.com browser extension chart where a price has been.
- Most trackers watch a single sales channel. The same room is often listed at 3 different prices across Booking.com, Expedia, and the hotel's own site.
- Google's tracker is the simplest free option. Per-property email alerts, a 30-day price chart, zero setup, and real limits: exact dates only, a short history, no export.
- A drop after you book is still money. On a free-cancellation rate, keep tracking until the deadline and rebook if the price falls.
- You can build a tracker with history in an afternoon. A hotel price API, a Google Sheet, and a scheduled workflow cover it, no code required.
- The payoff is context. After 2 to 3 weeks, your own log tells you whether today's rate is a real deal or a return to normal.
What a Hotel Price Tracker Actually Does
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A hotel price tracker (or hotel rate tracker, the terms are interchangeable) is a hotel price change tracker: it monitors the rate for a specific hotel and dates, and notifies you when it changes.
Hotel price monitoring is the same job at a larger scale: more hotels, more dates, and every booking site, logged over time.
Some add a recommendation on whether to book now or wait.
The useful ones answer three questions: what changed, compared to what, and on which booking site.
Four capabilities separate the tools, and they're the criteria for every comparison below.
| Capability | The question to ask | Why it matters |
|---|---|---|
| Scope | One booking site or many? | The same room is sold through several channels, at several prices |
| Alerts | Email, push, thresholds? | An alert on every $2 wobble trains you to ignore alerts |
| History | Can you see past prices? | A "drop" means nothing without knowing where the price has been |
| Data access | Export, API, integrations? | If the data stays in the app, you can't chart it or wire it into anything |
One structural detail matters more than any feature list: nearly every app tracks a single sales channel.
The price you're watching is one site's price, and a cheaper rate for the same room may be sitting on a channel your tracker never looks at.
That gap runs through this whole comparison, and it's the reason the build-your-own section exists.
The Best Hotel Price Tracking Apps in 2026
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Here's what each tool does, who it fits, and where it stops.
Feature sets in this category change fast: the four big apps were verified in July 2026 (Google again in October 2026), and the newer trackers in September 2026.
Google Hotels
Google added per-property price tracking to Google Hotels in April 2026.
Open a hotel's listing, set your dates, and switch on Track this hotel; Google emails you when the rate for those dates moves.
It's free, it lives where you're already searching, and its meta-search view spans multiple booking sites.
Best for: casual travelers tracking one trip.
The limits: alerts are tied to your exact dates, the price history covers the last 30 days for those dates only, and nothing exports.
Our step-by-step guide to Google Hotels price tracking covers the switch, the alerts, the price chart, and the fine print.
Hopper
Hopper's angle is prediction, which makes it the closest thing on this list to an AI hotel price tracker, or a hotel price predictor.
It recommends booking now or waiting, rather than just pinging you on changes, based on price predictions built from the prices it watches.
Price Freeze locks a rate for a fee while you decide.
Best for: flexible travelers who'd rather get a recommendation than raw price pings.
The limits: you never see the history behind a prediction, the hotel side is newer than the flights product it was built on, and freeze fees are part of how the app earns, which is worth keeping in mind when it suggests one.
Expedia price alerts
Expedia documents price tracking for flights: a toggle in the app that alerts you when fares drop.
For hotels, we couldn't find price alerts documented on Expedia's own pages in October 2026, so check the app before you count on one.
Best for: travelers who already book through Expedia and live in its app.
The limit is structural: whatever it tracks, it tracks Expedia's price only.
If the same room gets cheaper somewhere else, no alert.
Kayak price alerts
Kayak's price alerts work at two levels: a hotel price watch on one property, or a saved destination search ("any 4-star in Paris under $200").
Kayak checks prices daily and sends alerts to your inbox or phone, managed from the notifications section of your profile.
Best for: destination-level watching while your hotel choice is still open.
The limits: property-level depth is shallow, there's no history, and daily checks mean you can hear about a drop hours after it happened.
Trackers that show price history
A smaller group of trackers keeps the history that Hopper, Expedia, and Kayak hide, and keeps it for as long as they watch.
hotelpricetracker.io is free with no card, checks prices roughly every 6 hours, emails you on a drop of more than 1%, and charts every price it has recorded for your dates.
A Booking.com price tracker extension for Chrome shows past prices for your check-in and check-out dates right on Booking.com hotel pages, where it has them.
Best for: travelers who want to know whether today's rate is high or low before booking.
The limits: each tool's history covers what it has observed for those dates, the extension works on Booking.com only and sends no alerts, and hotelpricetracker.io alerts by email only.
Side by side
| Tracker | Multi-channel | Price history | Alerts | Your data |
|---|---|---|---|---|
| Google Hotels | Partial (meta-search) | 30 days, your dates only | No export | |
| Hopper | No | Hidden inside predictions | Push | No export |
| Expedia | No | No | Flights documented; hotels unclear | No export |
| Kayak | Partial (meta-search) | No | Email or push, checked daily | No export |
| hotelpricetracker.io | Several booking sites | Yes, for your dates | Email, drops over 1% | Charts in the app |
| Booking.com extension | No (Booking.com only) | Yes, where available | None | Charts on the page |
| DIY via API | Yes, OTAs + chain direct | Yes, you own it | Slack, email, Telegram, anything | Full, it's your database |
After you book: the rebooking check
Tracking doesn't have to stop at checkout.
If you booked a free-cancellation rate, a price drop before the cancellation deadline is money on the table: book the cheaper rate, then cancel the original.
Keep tracking the exact hotel, dates, and room type after you book, and note the deadline in your confirmation (the Lisbon rate in the build example below cancels free until 1 day before arrival).
A few booking apps now watch reservations made through them automatically, and any tracker above does the same job if you point it at the dates you've booked.
The Gap: What None of the Apps Give You

Line up the apps and the same three holes appear.
Short or missing price history.
Google now shows a hotel price graph for the last 30 days of your dates; Hopper, Expedia, and Kayak show nothing.
If you've searched for a hotel price history tracker, Google's chart and the two smaller tools above are the closest ready-made answers, and each covers only the dates it has watched.
Without history you can't tell a genuine deal from a return to last month's normal, and that's usually the first thing people want once they start tracking prices seriously.
Our hotel price history guide covers where longer history exists and why booking sites don't publish it.
No multi-channel truth.
Same room, same night: in a September check of the London Hilton on Park Lane, the hotel's own site quoted £536 while the big booking sites sat £67 to £68 higher.
A single-channel tracker alerts on one of those numbers while a cheaper one sits elsewhere.
No data access.
The apps offer no export, no API, and no way to route an alert into Slack or a spreadsheet.
For one trip a year, that's fine.
For hosts, small operators, and anyone watching more than a couple of properties, it's the dealbreaker.
How to Build Your Own Hotel Price Tracker
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What you're building: a daily log of rates for the hotels and dates you care about, across every channel that matters, with an alert when a price crosses your threshold.
A hotel price API makes the fetching part trivial: you request a hotel's rates for specific dates → structured JSON comes back.
StayAPI, for example, has price endpoints for Booking.com, Expedia, TripAdvisor, and Google Hotels, plus chain direct sites like Marriott, IHG, and Hilton.
For chain properties specifically, our Marriott API guide covers the direct-rate angle in detail.
You can also scrape the pages yourself, with the upkeep our hotel price scraping tutorial describes.
If you're tracking one trip with fixed dates, the apps above are honestly enough; the build pays off when you need history, several hotels, or the data itself.
The no-code version
- Sign up at stayapi.com: 50 free requests, no credit card. That's enough to prove the loop works for one hotel over two weeks.
- Create a scheduled workflow in N8N or Make.com: one HTTP request per channel per day, hitting the price endpoint for your hotel and dates.
- Append each result to a Google Sheet: date, channel, room, rate.
- Add the alert: a formula or workflow branch that messages Slack, email, or Telegram when today's rate drops below yesterday's by your threshold (2 to 3% filters out noise). After 2 or 3 weeks, the sheet is the price history no app would show you. Chart it, and that property's repricing pattern is usually visible within the first month.
The code version
Same loop in about 30 lines: a cron job pulls each channel, writes a row to SQLite or Postgres, diffs against the last row, and notifies on a move.
Here's the pull for one channel, against StayAPI's Booking.com prices endpoint:
curl -G "https://api.stayapi.com/v1/booking/hotel/prices" \
-H "x-api-key: YOUR_API_KEY" \
-d "hotel_id=4045490" \
-d "check_in=2026-11-12" \
-d "check_out=2026-11-13" \
-d "currency=USD"
The response, truncated to the fields the tracker needs:
{
"success": true,
"hotel_id": "4045490",
"data": {
"hotel": { "id": 4045490, "name": "Maxime Boutique Hotel Avenida da Liberdade" },
"pricing_summary": { "price_per_night_value": 205.838518650779, "currency": "USD" },
"rooms": [
{
"room_name": "Deluxe Twin Room",
"price_per_night_value": 205.838518650779,
"is_refundable": true,
"breakfast_included": true
}
],
"available_rooms_count": 5,
"is_soldout": false
}
}
That's one November night at a Lisbon boutique hotel, pulled on September 29, 2026: $205.84 for the cheapest room, refundable, breakfast included.
Log room_name, price_per_night_value, and pricing_summary.currency per channel per day, and the tracker's core is done.
To find the hotel_id for your own hotel, our Booking.com hotel ID guide covers every method.
What it costs
The free tier covers the proof of concept.
Past that, the math stays linear and you can price the whole tracker before building it:
| Setup | Requests per month |
|---|---|
| 1 hotel × 3 channels, daily | ~90 |
| 3 hotels × 3 channels, daily | ~270 |
| 10 hotels × 3 channels, daily | ~900 |
Paid plans scale by request volume; the sheet, the workflow tool, and the alerting cost nothing.
Tracking Smarter: What the Data Tells You
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A log turns alerts into decisions.
Three patterns tend to show up within the first month:
- Day-of-week repricing. Many properties move rates on a predictable weekly cycle. The log shows the cheap booking window for that specific hotel, which generic booking advice can't.
- Lead-time behavior. Some hotels discount last-minute; others only climb as the date approaches. Sixty days of data answers that definitively for the property you actually want.
- Channel behavior. One channel is often consistently cheapest for a given property. Once you know which, you can skip the nightly comparison ritual.
If you run properties rather than book them, the same log pointed at your comp set becomes competitor rate intelligence.
That's hotel rate monitoring, the job of the tools hotels buy, which our hotel rate shopper guide compares, and the same mechanics as hotel rate parity monitoring, just aimed outward.
FAQ
What is the best hotel price tracker?
It depends on the job.
For one trip with fixed dates, Google Hotels tracking is free and built into search.
For book-or-wait guidance, Hopper.
To see a price history chart for your dates, Google Hotels covers the last 30 days, and hotelpricetracker.io or the Booking.com extension keep what they record.
For history across several hotels and booking sites, with data you keep, build your own with an API; the recipe above takes an afternoon.
Can I track hotel prices like Google Flights?
Partially.
Google Hotels has a Track this hotel switch and a 30-day price chart for your dates.
It's still shallower than the flights version.
Our Google tutorial (linked above) covers exactly what it does and doesn't do.
How do I track hotel prices?
Pick the hotel and your exact dates, then set an alert in Google Hotels (free, by email) or Kayak (email and push).
Google shows a 30-day price chart on the hotel's listing; for a record that keeps growing as long as you track, use a tracker like hotelpricetracker.io.
To watch several hotels or every booking site at once, log prices daily through a hotel price API into a spreadsheet, as in the build section above.
How do I track hotel prices across multiple booking sites?
Google Hotels and Kayak compare partner prices for your dates, which covers the main booking sites in one view.
For a running record per site, pull each channel's price daily through an API and log them side by side.
After a few weeks the log shows which site is consistently cheapest for that hotel.
Is there a hotel price tracker with price history?
Yes.
Google Hotels shows a 30-day chart for your dates; Hopper, Expedia, and Kayak show none, and Hopper's predictions are built on history you never see.
hotelpricetracker.io charts the prices it records for your dates, and a Booking.com price tracker extension shows past prices on Booking.com pages.
For history you own across several hotels and sites, log prices yourself through an API.
Do hotel prices go down closer to the check-in date?
Sometimes; it depends on the property, the season, and how full the hotel is.
Occupancy pressure cuts both ways: distressed inventory gets cheaper, scarce inventory gets pricier.
Two or three weeks of tracking answers it definitively for your hotel and dates.
How much does it cost to build a hotel price tracker?
A proof of concept costs nothing: free API tiers cover a couple of weeks of tracking one hotel (StayAPI's free tier is 50 requests, no credit card).
Ongoing tracking scales with request volume, roughly 90 requests per month per hotel across 3 channels.
The spreadsheet and workflow side costs nothing.
Ready to simplify your hotel data?
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