Google Hotels Prices: Nightly and Total Stay Rates avatar

Google Hotels Prices: Nightly and Total Stay Rates

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from $2.00 / 1,000 hotel results

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Google Hotels Prices: Nightly and Total Stay Rates

Google Hotels Prices: Nightly and Total Stay Rates

Hotel names, nightly and total stay prices, star class, rating and review count from public Google Hotels search results, by city and dates.

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from $2.00 / 1,000 hotel results

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Quill Data

Quill Data

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Google Hotels Prices – nightly & total stay price

Get the hotel list and prices that Google Hotels shows for a destination and your travel dates — as clean JSON/CSV/Excel rows.

Each row tells you both the nightly price and the total price for the whole stay (taxes and fees included), plus star class, guest rating, review count and a link to the hotel on Google.

What you can use it for

  • Track hotel prices for a city over time (run it daily on a schedule).
  • Compare destinations or travel dates before booking.
  • Feed hotel price data into a spreadsheet, BI dashboard or your own app.
  • Check which hotels Google ranks first for a search.

How to use

  1. Enter one or more searches, e.g. hotels in Lisbon or hotels near Shibuya Station.
  2. Set check-in and check-out dates. When no dates are given, the actor searches a default 1-night stay 14 days ahead so the requested currency is applied; prices are for that stay and rows have dates_auto_filled=true.
  3. Choose a currency (USD, EUR, GBP, JPY, …).
  4. Click Start and download the results.

Input example

{
"queries": ["hotels in Lisbon", "hotels in Porto"],
"checkIn": "2026-12-11",
"checkOut": "2026-12-14",
"adults": 2,
"currency": "EUR"
}

Output example (one row)

{
"query": "hotels in Tokyo",
"position": 1,
"name": "Mitsui Garden Hotel Gotanda",
"price_nightly": 112,
"price_total": 369,
"nights": 3,
"total_includes_taxes_fees": true,
"currency": "EUR",
"price_basis": "nightly",
"google_dates_text": "Dec 11 – 14",
"dates_applied": true,
"hotel_class": "4-star",
"star_rating": 4,
"rating": 4.3,
"reviews_count": 1847,
"amenities": ["Free Wi-Fi", "Parking", "Spa", "Restaurant"],
"google_url": "https://www.google.com/travel/hotels/entity/…",
"scraped_at": "2026-10-22T13:43:30Z"
}

(Real row from a local test run on 2026-10-22; prices change constantly.)

Fields explained

FieldMeaning
price_nightlyThe per-night price shown on the card
price_totalThe price for the whole stay, taxes and fees included
nightsNumber of nights in your stay
currencyThe currency Google actually displayed
dates_appliedtrue when the dates Google priced match the dates you asked for
price_basisnightly, nightly_auto_dates when dates were filled in for you, or total
hotel_classOfficial star class as text, e.g. 4-star, when Google shows one (many apartments and hostels have none)
star_ratingThe same star class as a number (1–5), or empty

Pricing

You pay per hotel row returned (pay-per-event, event hotel-result at $0.002), plus a tiny Actor start fee ($0.00005 per GB of memory, minimum one event). Only rows that show a price are charged. Hotels without a displayed price (e.g. sold out) are still included in the output for free. If Google shows a block or consent page, or no hotels are found, nothing is pushed and nothing is charged and the run log says why.

Limits — please read

  • Returns the first results page, about 20 hotels per search. To get more hotels, add more specific searches (neighbourhoods, landmarks, "4-star hotels in …").
  • Prices are the ones Google shows publicly at the moment of the run; they change often and may differ from the final price on a booking site.
  • Some hotels show no price (e.g. sold out); for them the price fields are empty.
  • Only public search pages are read. No login, no reviews text, no personal data.

Tips

  • Use a schedule (e.g. daily) and the same input to build a price history.
  • Keep searches specific — "hotels in Kyoto Gion" gives a different first page than "hotels in Kyoto".

Also from Quill Data

Support

Found a wrong field or a broken run? Open an issue on the Issues tab with your input (no personal data) and the run ID. We aim to reply within 48 hours.

This Actor is not affiliated with or endorsed by Google.