This repository calls a paid Apify Actor built by Flatrow Data Studio (the author). Links to apify.com carry the author's affiliate code: the author may earn a commission if you sign up to Apify through them, at no extra cost to you.
A small Google Hotels scraper in Python. scrape.py runs Google Hotels searches such as "hotels in Lisbon" for your dates and saves one row per hotel to CSV: lowest price per night and for the stay with taxes and fees, hotel class, guest rating, review count, amenities, coordinates and website. With --offers it also saves every booking site's rate for each hotel (Booking.com, Expedia, the hotel's own site...) with direct links: a rate parity check in one command. monitor_prices.py turns the same search into a hotel price tracker that returns only the price drops, price rises and new hotels since its previous run.
Both scripts run the Google Hotels Scraper & Price Tracker on Apify through the official apify-client package: the Actor runs in Apify's cloud and returns clean rows, so there is no browser, HTML parsing or proxy to maintain on your side. No login, no cookies, and no personal data: nothing about guests or reviewers is collected.
- Hotel price comparison: the lowest price of every hotel of a city for the same stay, taxes included, in your currency.
- Rate parity checks for hoteliers: the hotel's own website against every booking site Google lists (
officialSitePriceTotalagainstcheapestOfferPriceTotal). - Hotel price tracking: a daily cron job that prints the hotels whose price dropped or rose.
- Travel datasets: class, rating, amenities and coordinates of the hotels of a destination, ready for pandas, Excel or a map.
You need Python 3.11 or later and a free Apify account (the free plan includes monthly credit).
git clone https://github.com/flatrow-data-studio/google-hotels-scraper-python.git
cd google-hotels-scraper-python
python3 -m venv .venv && source .venv/bin/activate
pip install -r requirements.txt
export APIFY_TOKEN="<your-apify-token>" # Apify Console > Settings > API & Integrations# Hotels in Lisbon for 20-23 November 2026, 2 adults, prices in USD
python scrape.py "hotels in Lisbon" --check-in 2026-11-20 --check-out 2026-11-23 --max-results 60
# Rate parity: every booking site's rate for 20 hotels in Rome, a 3-night stay starting in 30 days
python scrape.py "hotels in Rome" --offers --max-results 20The script writes google_hotels.csv (change it with --output), and with --offers also google_hotels_offers.csv, one line per hotel and booking site; the booking-site rates come at no extra charge. It prints the five cheapest stays. Without --check-in / --check-out it searches a stay that starts 30 days from today for 3 nights (--check-in-days, --nights), so the command never expires. Other options: --adults, --currency (USD by default), several searches in one run ("hotels in Paris" "hotels in Rome"), and --max-charge 0.50 to stop a run once it has cost 50 cents; python scrape.py --help lists them all.
python monitor_prices.py "hotels in Paris" --check-in-days 14 --nights 2The first run records the price of every hotel as the reference (they all come back as new). From the second run on, only the new hotels and the hotels whose price changed are returned, with previousPrice, priceDelta and priceDeltaPercent; they are printed and appended to google_hotels_price_changes.csv. The reference lives in a key-value store of your Apify account (--store, google-hotels-price-monitor by default), so the script can run from cron on any machine:
0 7 * * * cd /path/to/google-hotels-scraper-python && .venv/bin/python monitor_prices.py "hotels in Paris" >> tracker.log 2>&1Keep the same search, stay, travellers and currency from run to run: changing them starts a new reference.
One real row from a Lisbon search with the booking-site rates (USD, 20–23 November 2026, 2 adults), key columns only:
{
"title": "Brown's | Avenue Hotel",
"propertyType": "5-star hotel",
"city": "Lisbon",
"checkIn": "2026-11-20",
"checkOut": "2026-11-23",
"currency": "USD",
"pricePerNight": 169.26,
"priceTotal": 564.25,
"rating": 4.6,
"reviewCount": 283,
"cheapestOfferSite": "Vio.com",
"officialSitePriceTotal": 565.73
}scrape.py writes these columns; lists such as amenities are written as JSON text.
| Column | Meaning |
|---|---|
platformListingId |
Google Hotels entity id |
title |
Hotel name |
propertyType |
Class as Google shows it, e.g. 5-star hotel |
city |
City |
checkIn |
Check-in date of the quoted stay |
checkOut |
Check-out date of the quoted stay |
nights |
Nights of the stay |
currency |
Currency of every price |
pricePerNight |
Lowest price per night, before taxes |
pricePerNightWithTaxes |
Lowest price per night, with taxes and fees |
priceTotal |
Lowest price of the stay, with taxes and fees |
taxesAndFees |
Taxes and fees of the stay |
rating |
Guest rating out of 5 |
reviewCount |
Number of reviews |
starRating |
Hotel class |
amenities |
Amenities such as Free Wi-Fi or Outdoor pool |
offerCount |
Number of booking sites with a rate (with --offers) |
cheapestOfferSite |
Cheapest booking site (with --offers) |
cheapestOfferPriceTotal |
Its price for the stay (with --offers) |
officialSitePriceTotal |
Price on the hotel's own website (with --offers) |
latitude |
Latitude |
longitude |
Longitude |
website |
Hotel website |
searchLocation |
The search that found the hotel |
url |
Google Hotels link with your dates |
google_hotels_offers.csv has the hotel's title, checkIn and checkOut, then for each booking site: site, isOfficialSite, currency, pricePerNight, priceTotal (before taxes), priceTotalWithTaxes and bookingUrl. The dataset of each run has more columns (rating breakdown, photos, description, Google Maps ids...): add their names to COLUMNS in scrape.py. The full list is on the Actor page.
The Actor is pay-per-event: from $2.50 per 1,000 hotels on Apify's Free plan, lower on paid plans, with compute and proxies included. Apify's free monthly credit of $5 covers about 1,999 hotels. You pay per hotel saved and nothing else: every booking site's rate comes at no extra charge, --max-results caps every search of a run, and in price-tracking mode only the new and changed hotels are saved and charged.
Do I need to write a scraper or run a browser? No. The Actor runs in Apify's cloud and is kept up to date when Google changes its pages; your script receives JSON rows.
Can I follow a fixed list of hotels instead of a search? Yes: the Actor takes hotelUrls, Google Hotels links of precise hotels, each with every booking site's rate. Put them in run_input in build_input; the Actor page documents every input field.
Is there personal data in the output? No. Rows contain hotel facts (business names), the average rating and the number of reviews; nothing about guests or reviewers. Use the data for analysis, respect Google's terms and the law of your country, and do not republish listings.
Other Python examples by Flatrow Data Studio, all with a CSV export and a price tracker:
- airbnb-scraper-python: Airbnb listings, nightly and total prices, ratings and availability.
- booking-scraper-python: Booking.com hotel prices, taxes, review scores and stars.
- amazon-scraper-python: Amazon product prices, ratings and price drops.
- aliexpress-scraper-python: AliExpress product prices, units sold and shipping.
- ebay-scraper-python: eBay listing prices, condition and units sold.
MIT, see LICENSE. Google Hotels is a trademark of its owner; this project is not affiliated with Google.