kestrel actors › Hotel & flight prices

Hotel Price Tracker — Google Hotels Price History & Alerts

Hotel price tracker built on Google Hotels prices: for every property and check-in date in a window you choose, one row with the lowest rate across every booking site Google lists — Booking.com, Expedia, Agoda, Trip.com, the property's own site — the source that has it, its booking link, the official-site rate next to it, and the date's rank within the window. Put it on a daily schedule with relative dates and it becomes hotel price tracking with a history you own; set maxPrice and it becomes a hotel price alert that only delivers (and only bills) the dates under your target. It is the Google Hotels price tracker Google's own "track prices" button does not give you: your threshold, every source, every date, as rows. No API key, no login, no browser.

Run Hotel Price Tracker on Apify →

Hotel price tracker pricing: what one row costs

Pay per event: one rate event per delivered row, at the price on this page's pricing tab. Two properties over thirty check-in dates is sixty rows — cents. A daily alert run with maxPrice bills only the dates under the target, which most days is none. Dates with no rate, names that do not resolve, a property listed twice, rows the spending limit refused and status rows are free, and a property and date is billed once per run. Apify's platform usage is a fraction of a cent per run: one search per name, one offers call per property and date.

Compared with the parent Google Hotels Prices Scraper, which bills one row per source, a rate row is one event for the whole comparison on that date — the cheap way to track hotel prices over many dates.

Hotel price tracker input reference

Every field of Hotel Price Tracker — input, straight from the actor's input schema.

Example input

{
  "hotels": ["https://www.google.com/travel/hotels/entity/ChkIhLCQwvjO2IYWGg0vZy8xMXE0bTZieDkyEAE"],
  "checkIn": "tomorrow",
  "days": 30,
  "nights": 1,
  "currency": "USD"
}

{
  "hotelNames": ["Hyatt Regency Lisbon", "Altis Grand Hotel Lisbon"],
  "checkIn": "2026-10-09",
  "days": 3,
  "nights": 2,
  "adults": 2,
  "currency": "EUR",
  "country": "pt",
  "maxPrice": 220
}

Hotel price tracker output fields

Two row types share one dataset: rate (one property and check-in date with the lowest rate across every booking source, the cheapest source and the date's rank in the window; charged) and status (one per property; never charged).

Dataset views in the Apify Console: Price history, Cheapest dates, Status.

Example row from a real run

Taken from the actor's README — this is the shape your dataset holds.

{ "type": "rate", "query": "https://www.google.com/travel/hotels/entity/ChkIhLCQwvjO2IYWGg0vZy8xMXE0bTZieDkyEAE", "hotel_name": "Brown's | Avenue Hotel", "entity_id": "ChkIhLCQwvjO2IYWGg0vZy8xMXE0bTZieDkyEAE", "hotel_id": null, "hotel_url": "https://www.google.com/travel/hotels/entity/ChkIhLCQwvjO2IYWGg0vZy8xMXE0bTZieDkyEAE", "stars": null, "rating": null, "reviews": null,
  "check_in": "2026-10-08", "check_out": "2026-10-09", "nights": 1, "adults": 2, "children": 0, "currency": "USD",
  "price": 337.96, "price_display": "$338", "total": 337.96, "source": "Super.com", "official": false, "source_url": "https://www.super.com/…", "free_cancellation": false,
  "official_price": 420.03, "n_sources": 5, "cheapest_in_window": true, "rank_in_window": 1,
  "fetched_at": "2026-08-29T06:30:12+00:00" }

{ "type": "status", "query": "Brown's Avenue Hotel Lisbon", "hotel_name": "Brown's | Avenue Hotel", "entity_id": "ChkIhLCQwvjO2IYWGg0vZy8xMXE0bTZieDkyEAE", "check_in": "2026-10-08", "days": 7, "rates": 7, "filtered": 0, "no_rates": 0, "errors": 0, "cheapest": 337.96, "cheapest_date": "2026-10-08", "status": "ok", "error": null, "fetched_at": "2026-08-29T06:30:12+00:00" }

Hotel price tracker in Python, JavaScript and curl

Python

from apify_client import ApifyClient
client = ApifyClient("<TOKEN>")
run = client.actor("kestrel/hotel-price-tracker").call(run_input={
    "hotelNames": ["Hyatt Regency Lisbon", "Altis Grand Hotel Lisbon"], "checkIn": "30 days", "days": 14, "nights": 2, "currency": "EUR", "country": "pt"})
rows = [r for r in client.dataset(run["defaultDatasetId"]).iterate_items() if r["type"] == "rate" and r["cheapest_in_window"]]
for r in rows: print(r["hotel_name"], r["check_in"], r["price"], r["currency"], "at", r["source"], "direct" if r["official"] else f'(direct {r["official_price"]})', r["source_url"])

JavaScript (Node)

import { ApifyClient } from 'apify-client';
const client = new ApifyClient({ token: '<TOKEN>' });
const run = await client.actor('kestrel/hotel-price-tracker').call({ hotels: ['ChkIhLCQwvjO2IYWGg0vZy8xMXE0bTZieDkyEAE'], checkIn: '2026-10-09', days: 3, nights: 2, maxPrice: 300 });
const { items } = await client.dataset(run.defaultDatasetId).listItems();
const hits = items.filter(r => r.type === 'rate').map(r => `${r.hotel_name} ${r.check_in}: ${r.price} ${r.currency} at ${r.source} ${r.source_url}`);
console.log(hits.join('\n') || 'nothing under target yet');

curl

curl -X POST "https://api.apify.com/v2/acts/kestrel~hotel-price-tracker/run-sync-get-dataset-items?token=<TOKEN>" \
  -H "Content-Type: application/json" \
  -d '{"hotels": ["ChkIg-b2ismUj7M1Gg0vZy8xMWg3MThreGg1EAE"], "checkIn": "30 days", "days": 7, "nights": 1, "currency": "USD"}'

The same three calls are runnable files in the examples repository: examples/hotel-price-tracker.py|.js|.sh.

Limits and honest notes

FAQ

Does it need a Google Hotels API key or a Google account?

No. There is no public Google Hotels API for reading prices — Google's hotel APIs are feeds for properties sending rates to Google. This actor reads the public comparison page through Apify's proxies. No account, no key, no browser on your side.

How do I get a price drop alert instead of a table?

Set maxPrice to your target nightly rate and schedule the run. Rows appear only for dates at or under the target; wire the dataset to an n8n, Make or Zapier step that posts each row to Slack, Telegram or email. Days with nothing under target deliver nothing and cost nothing, and the status row still tells you the cheapest rate seen.

Can it build hotel price history for a stay?

Yes — that is the scheduled use, and it is Google Hotels price tracking on your terms rather than Google's. Run the same input daily; each run appends rows with a new fetched_at. For one check_in, price over fetched_at is the history of that stay's best rate; source tells you who had it each day.

Which dates does a window cover?

days consecutive check-in dates starting at checkIn, each for nights nights. days: 7 from "30 days" prices check-ins 30 to 36 days from the run date. Relative checkIn values move with the calendar, so a schedule keeps looking the same distance ahead.

Does the price include taxes and fees?

It follows what Google Hotels shows for the market in country. Some markets display all-in rates, others exclude taxes and resort fees; the rows are consistent within one market, so keep comparisons inside it.

How is this different from the Google Hotels Prices Scraper?

The parent returns one row per booking source per property and stay, and can search places for many properties at once. This actor returns one row per property and date — the lowest rate and where it is — over a window of dates, ranked, with an alert filter. Use the parent when you want every source as its own row; use this one to track hotel prices over time or to find the cheapest date to stay.

Can I track a competitor set for my own property?

Yes. List your property and the competitors by URL, token or name; every run gives one row per property and date with the market's lowest rate and whether it is direct. For the per-source breakdown and undercut math, pair it with the Hotel Rate Parity Checker on the same properties.

Is there a free tier?

Every Apify account includes free platform credit, which covers many runs of this actor; the per-row price is on the pricing tab. Runs that deliver nothing — every date over maxPrice, unresolved names — cost nothing beyond a fraction of a cent of platform usage.

How to use Hotel Price Tracker

• How to Scrape Google Hotels Prices with Python — Google Hotels prices for exact dates, every OTA per property, in one call. Plus the silent failure mode: Google never says it did not find your place.
• How to Track Competitor Prices Daily with n8n — A schedule, one HTTP node, a compare-with-yesterday code node and an alert. The workflow shape that turns any price scraper into a daily drop feed.

Related scrapers

• Google Hotels Prices Scraper — the parent: every booking source's rate per property and stay as its own row, plus place search.
• Hotel Rate Parity Checker — one row per property and stay with every source side by side and the undercut math done.
• Flight Price Tracker — the same idea for airfare: one row per route and departure day, the cheapest fare, with a maxPrice alert.
• Google Flights Scraper — every itinerary for a route, date and cabin.
• Airbnb Scraper — Airbnb prices, availability calendars and occupancy.
• Agoda Reviews Scraper — Agoda reviews with separate positives and negatives.

Run Hotel Price Tracker

The actor lives on the Apify Store, where the pricing tab carries the live per-row price and the input form has every field above: apify.com/kestrel/hotel-price-tracker