Google Hotels Scraper

Google Hotels Scraper extracts hotels, live prices and guest reviews from Google Hotels at scale. Search any destination and dates, and get one row per hotel with the live per-night price, the full OTA price ladder (Booking.com, Agoda, Expedia, Hotels.com, Priceline and more), each with its booking link, plus per-room rates, star class, guest rating & review count, coordinates, and optional guest reviews. Export to CSV, JSON, Excel, or pull it via API. No code, no login, no Google API key, and you pay only for what you pull (no start fee).

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Discovery + prices + reviews in one actor. Paste a destination ("hotels in New York") and dates and get every matching hotel with its complete price comparison ladder. Or add exact hotels by name, link, or ID to price a known set across a range of dates. Prices and reviews are optional toggles, so you pay only for what you pull.

Runs on the Apify platform: scheduling, a REST API, webhooks & integrations, proxy rotation, and run monitoring out of the box, plus an LLM-ready markdownContent field on every row for RAG pipelines.

What does Google Hotels Scraper do?

Give it one or more destination searches (e.g. hotels in New York, Paris 5 star hotels, resorts in Bali) and/or exact hotels (by name, Google Maps/Hotels link, or ID), pick your dates and occupancy, and it returns:

• Hotel discovery: every hotel matching the search, paginated and de-duplicated, with name, star class, guest rating, review count, property type, coordinates and a Google Hotels deep link.
• Prices (toggle): the cheapest per-night lead price plus the full per-source OTA ladder (typically 15 to 25 booking sites), with each source's per-night and total price and a direct booking link.
• Per-room rates: the room × source matrix (room name, per-night, total) for OTAs that feed room data to Google. Included automatically whenever prices are on (no extra request, no extra charge).
• Guest reviews (toggle): reviewer, rating, review text, date and owner response, into a separate reviews dataset.
• Multi-date price windows: set a "track prices until" date to reprice the same hotels across a range (added to offers as dated rows).

What data can I extract from Google Hotels?

Per hotel, one row, with nested arrays so a hotel and its whole price ladder stay in a single record (no row explosion):

Field	Description
name, entityToken	Hotel name + Google Travel entity token (the stable de-dup key).
starClass, rating, reviewCount	Hotel-class stars, average guest rating (/5), total reviews.
propertyType, latitude, longitude	Property type + coordinates.
leadPrice, leadPriceTotal, currency	Cheapest per-night + whole-stay price for the base stay.
offers[]	The prices table: one self-contained row per booking source × stay-date × room-if-available: {source, checkInDate, checkOutDate, roomName, perNight, total, currency, official, hotelUrl, bookingLink}. Includes the base stay and every price-window date. The hotel's direct-booking row is labelled Official site (official: true).
vendors[]	Booking directory: one object per source: {source, bookingLink, official} (no prices; prices live in offers).
vendorCount, nights	Number of distinct booking sources selling this hotel + the length of the priced stay (nights).
cid, cidDecimal, hotelUrl	Google feature-id (hex) / decimal Maps CID + a deep link.
reviewsExtracted, scrapedAt	Reviews pushed to the reviews dataset for this hotel this run + ISO 8601 timestamp of the scrape.
markdownContent	Self-contained, LLM-ready hotel + price summary for RAG ingestion.

Reviews land in a separate reviews dataset (one row per review): reviewerName, rating, reviewText, relativeDate, ownerResponse, hotelName, entityToken and an LLM-ready markdownContent.

What makes this different?

	Google Hotels Scraper	Typical single-purpose scrapers
Coverage	Discovery + prices + reviews in one run	Prices or reviews, rarely both
Row shape	One row per hotel with nested price ladder	One row per price/offer (row explosion)
Price detail	Full OTA ladder + booking links + per-room matrix (always)	Single lead price
Dates	Single stay or a multi-date price window (all in offers)	Single date
AI-ready	markdownContent on every row (RAG)	Raw fields only
Billing	Per hotel base + opt-in prices/reviews, no start fee	Often per result/offer

How to scrape Google Hotels step by step

1. Open the actor and in 🔍 Search a destination type one destination per line (e.g. hotels in New York). Or, in 🏨 …or add exact hotels, add specific hotels by name (e.g. The Manhattan at Times Square), Google Maps/Hotels link, or ID. You get exactly those, one row each.
2. Set 📅 Check-in / Check-out and guests / rooms. (Leave dates empty and, with prices on, the actor prices tomorrow's 1-night stay; turn off Include prices for hotel info + reviews only.)
3. Toggle 💵 Include prices (OTA ladder + per-room rates) and ⭐ Include reviews to taste.
4. Optionally set discovery filters (min/max price, minimum guest rating, stars, property type) and max hotels.
5. Click Start, then download the results as JSON, CSV or Excel, or fetch them from the API.

Google Hotels API vs this scraper

Google does not offer a public Hotels API for this data. The official Hotel Center / Hotel Prices APIs are for hotel partners feeding their own rates in, not for pulling the public comparison results out, and they require partner onboarding. This actor reads the same public Google Hotels results a visitor sees, with no API key, no partner account, and no per-call quota, just structured JSON/CSV out.

Who is it for?

• Travel & OTA analysts: track rates and the OTA price ladder across markets and dates.
• Revenue managers & hotels: monitor your own and competitors' rates and guest sentiment.
• Price-comparison & meta-search builders: bootstrap a hotel + rates dataset.
• Data / AI teams: build a hotel-and-reviews corpus with ready-made markdownContent for RAG.

Common use cases

Rate shopping & OTA rate parity

Add your competitive set by name or link into exact hotels, set a base stay, set a Track prices until date, and enable prices. Each hotel's offers then include priced rows for every date in the window. It is a pay-per-use alternative to enterprise rate-shopping suites for monitoring OTA rate parity and competitor rates across dates, with the raw data you own.

Full-market discovery

Search hotels in <city> with a higher max hotels to sweep the destination, then enable prices to get the whole OTA ladder for every hotel.

Guest-sentiment dataset

Turn prices off and reviews on to build a pure reviews corpus (billed $0.004 per hotel + $0.001 per review, no start fee).

Input

Input	Description
searchQueries	Destination searches, one per line (paginated + de-duplicated).
hotelUrls	Exact hotels (one row each): a hotel name, a Google Travel/Maps URL or short link, a ChIJ… place-id, or a ChkI… entity token.
checkInDate / checkOutDate	Stay dates (YYYY-MM-DD). Leave empty and, with prices on, it defaults to tomorrow's 1-night stay; turn off Include prices for info + reviews only.
priceWindowEnd	Optional "track prices until" date; reprices every check-in from check-in to this date, added to offers as extra dated rows.
adults / children / rooms	Occupancy.
includePrices / currency	Prices toggle (OTA ladder + per-room rates) and currency.
includeReviews / maxReviews / reviewsSort	Reviews toggle, cap per hotel, sort order.
minPrice / maxPrice / minGuestRating	Hard filters on lead price and guest rating.
minStars / propertyTypes	Search refinements (Google narrows the results).
maxResults	Max unique hotels to return (0 = no cap).
countryCode / languageCode	Google market + interface language.
proxyConfiguration	Proxy settings (datacenter is sufficient at typical volumes).

At least one of searchQueries or hotelUrls is required.

Output

hotels dataset, one row per hotel:

{
  "name": "The Manhattan at Times Square Hotel",
  "entityToken": "ChkIooCAqvyy0f…",
  "starClass": 3,
  "rating": 4.9,
  "reviewCount": 12043,
  "checkInDate": "2026-11-15",
  "checkOutDate": "2026-11-16",
  "nights": 1,
  "currency": "USD",
  "leadPrice": 290,
  "leadPriceTotal": 290,
  "offers": [
    {"source": "Booking.com", "checkInDate": "2026-11-15", "checkOutDate": "2026-11-16", "roomName": "Deluxe Queen", "perNight": 290, "total": 290, "currency": "USD", "official": false, "hotelUrl": "https://www.google.com/travel/hotels/entity/ChkIooCAqvyy0f…", "bookingLink": "https://www.google.com/aclk?…"},
    {"source": "Official site", "checkInDate": "2026-11-15", "checkOutDate": "2026-11-16", "roomName": null, "perNight": 279, "total": 279, "currency": "USD", "official": true, "hotelUrl": "https://www.google.com/travel/hotels/entity/ChkIooCAqvyy0f…", "bookingLink": "https://www.google.com/aclk?…"}
  ],
  "vendors": [
    {"source": "Booking.com", "bookingLink": "https://www.google.com/aclk?…", "official": false},
    {"source": "Expedia.com", "bookingLink": "https://www.google.com/aclk?…", "official": false}
  ],
  "vendorCount": 8,
  "reviewsExtracted": 10,
  "hotelUrl": "https://www.google.com/travel/hotels/entity/ChkIooCAqvyy0f…",
  "markdownContent": "# The Manhattan at Times Square Hotel\n…",
  "scrapedAt": "2026-11-14T09:32:10Z"
}

reviews dataset, one row per guest review:

{
  "hotelName": "The Manhattan at Times Square Hotel",
  "entityToken": "ChkIooCAqvyy0f…",
  "reviewerName": "NADIA CHIN",
  "rating": 4,
  "reviewText": "Great location, friendly staff…",
  "relativeDate": "a day ago",
  "source": "google"
}

You can download either dataset as JSON, CSV, HTML or Excel, or fetch it from the API.

How much does it cost to scrape Google Hotels?

Discovery starts at $4 per 1,000 hotels, with no start fee, and you pay only for what you turn on. Prices and reviews are opt-in add-ons, so a discovery run stays cheap and you only pay more when you pull the full price ladder or reviews. Three events:

You pay for	When	Price
Hotel	each hotel returned (name, stars, rating, coordinates, lead price)	$0.004
Prices (opt-in)	each hotel priced: full OTA ladder + per-room rates, per date	$0.005
Review (opt-in)	each guest review	$0.001

So discovery-only = $4 / 1,000 hotels; a hotel with its complete price ladder = $0.009; reviews add $0.001 each. The Apify $5 free credit covers ~1,250 hotels discovery-only, or ~555 fully-priced. See the Pricing tab for current rates.

What a real run costs: pricing 20 hotels once (full ladder) = 20 × $0.009 = $0.18; monitoring a 50-hotel comp set across 30 check-in dates = 50 × $0.004 + 50 × 30 × $0.005 = ~$7.70 per sweep; a discovery-only sweep of 500 hotels = $2.00.

Run it on a schedule

Use Apify Schedules to re-scrape your competitive set daily and diff the price ladder over time. Combine with webhooks to push new results into your warehouse or a Slack alert.

AI agents & RAG

Every row carries an LLM-ready markdownContent block, so you can feed the hotels or reviews dataset straight into a vector DB. The actor is also callable from AI agents via the Apify MCP server.

Data & compliance

This actor collects only publicly available Google Hotels data, the same results any visitor sees. It does not log in or bypass access controls. You are responsible for using the data in line with applicable laws and Google's terms. Reviews are public user-generated content; handle any personal data (reviewer names) per GDPR/CCPA.

Other travel & review scrapers by FactDen

Actor	What it does
Expedia Reviews Scraper	Hotel guest reviews, ratings, sub-scores & sentiment from Expedia.
Hotels.com Reviews Scraper	Hotel guest reviews & ratings from Hotels.com (all Expedia-Group brands).
Trip.com & Ctrip Reviews Scraper	Hotel reviews & ratings from Trip.com / Ctrip.
G2 Software Reviews Scraper	Software product reviews, ratings & switching data from G2.
Indeed Jobs Scraper	Job listings, salaries, filters & company data from Indeed.

FAQ

Do I need a Google API key?

No. No key, no partner account, and no login. You paste a destination or hotel URLs and run it; the actor reads the same public Google Hotels results a visitor sees and returns structured JSON/CSV.

Can I scrape a specific hotel instead of a whole city?

Yes. In …or add exact hotels, enter the hotel's name (e.g. The Manhattan at Times Square), its Google Hotels/Maps URL or short link, a ChIJ… Maps place-id, or a ChkI… entity token. You get exactly that hotel, one row, ideal for pricing a known competitive set across dates. (A hotel name resolves to the closest match, so use the full name; a Google Maps link is CID-matched for an exact result.)

Can I get prices for different dates in one run?

Yes. Set a Track prices until date and each hotel is repriced for every check-in day from your check-in date up to that date, added to offers as dated rows (up to 60 extra dates per hotel). The nights are taken from your check-in to check-out gap. Each extra date is a separate prices charge per hotel, so a wide window across a whole city adds up; it is best paired with a short list of specific hotels.

Why do a few hotels have no price ladder?

Almost all hotels return the full OTA ladder and reviews (in testing, prices resolved for ~17 of 18 hotels on a results page and reviews for all 18). A property with no bookable offers on your dates/sources will still return its name, rating, star class and coordinates (and reviews), just an empty price ladder.

How fresh are the prices, and how often can I run it?

Prices are pulled live from Google at run time for your exact dates and occupancy, the same rates a visitor sees at that moment. Schedule the actor hourly or daily to track rate movements and OTA rate parity across booking sources over time; each run appends to your dataset, so you build a price history for revenue management and parity monitoring. It supports 20 currencies, 13 Google country markets and 9 interface languages, and the market setting shifts which hotels appear, the pricing, and the OTA mix.

Can I use Google Hotels Scraper with the Apify API?

Yes. Every actor on Apify has a full REST API: start runs, pass input, and pull the hotels and reviews datasets as JSON, CSV or Excel. You can also schedule runs and wire webhooks to push results downstream.

Can I use it through an MCP server?

Yes. The actor is callable from AI agents via the Apify MCP server, so tools like Claude or a LangChain agent can run it and read the structured result. Every row also carries an LLM-ready markdownContent field for RAG.

Can I integrate it with Make, Zapier, n8n or Google Sheets?

Yes. Apify offers native integrations and webhooks, so you can trigger runs and route the hotel and review data into Make, Zapier, n8n, Google Sheets, Slack, or your own warehouse without writing glue code.

Is it legal to scrape Google Hotels?

Scraping publicly available data is generally lawful, but you are responsible for how you use it. This actor collects only public results and does not log in or bypass access controls. See Apify's overview, is web scraping legal?, and handle any personal data (reviewer names) in line with GDPR/CCPA.

Support

Questions or a field you need? Open the Issues tab on this actor's Apify page.

Changelog

• 2026-07, v1.0: Initial release: discovery + OTA price ladder + per-room rates + reviews, multi-date price windows, LLM-ready markdown, three datasets (hotels / default / reviews).
• 2026-07, listing update: Added worked pricing examples, source/market coverage numbers, and a price-freshness & rate-parity FAQ.