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Google Hotels Scraper

Pay-per-hotel on Apify · no login, no API key

Scrape Google Hotels at scale: hotel discovery, live per-night prices, and the full OTA price ladder - every booking source Google shows (Booking.com, Agoda, Expedia, Hotels.com, Priceline, Trip.com, KAYAK…) with its rate and a direct booking link, plus per-room rates, star class, guest ratings, and optional reviews with exact publish dates and owner responses. One row per hotel - no row-explosion.

What you get

One row per hotel, with all prices nested on the row so you never explode a property into dozens of rows:

• The priced offers table in offers[] - one self-contained row per booking source × stay-date × room (when the source exposes room rates): source, checkInDate/checkOutDate, roomName, perNight, total, currency, a booking link, and an official flag. The hotel's own direct-booking row is labelled Official site. Every source Google shows (typically 15–25) is here.
• A booking-source directory in vendors[] - one entry per source with its booking link and official flag: the quick list of who sells the hotel (the prices themselves live in offers[]).
• Lead price - leadPrice / leadPriceTotal and vendorCount for at-a-glance comparison.
• Multi-date price window - set Track prices until and every check-in day up to 60 days ahead is repriced and appended to offers[] with its own dates.
• Discovery & property fields - name, star class, guest rating, review count, property type, coordinates, Google entity token and Maps CID, and the Google Hotels deep link.
• Reviews (optional) - one row per guest review with reviewer, rating, review text, exact publish date, and the hotel's owner response.
• LLM-ready markdown - a self-contained markdownContent block on every hotel and review row, ready to drop into a vector DB or RAG pipeline.

The OTA price ladder, on one row

A single run of hotels in New York City returns each hotel with its complete source ladder. Real sample output (2 hotels, one night):

For the Hilton, the ladder spans Expedia $302, Booking.com $308, Priceline $308, Agoda $308, Hotels.com $302, Trip.com $302 and a dozen more - each nested on the one hotel row, with the official-site rate flagged. Grab the full sample CSV to see all 37 source-price rows.

Sample output

One hotel row (trimmed). Download results as JSON, CSV, Excel, or HTML:

{
  "name": "The Manhattan at Times Square Hotel",
  "starClass": 4, "rating": 3.0, "reviewCount": 10129,
  "propertyType": "hotel", "latitude": 40.7623, "longitude": -73.9826,
  "checkInDate": "2026-08-15", "checkOutDate": "2026-08-16", "nights": 1,
  "currency": "USD", "leadPrice": 195, "leadPriceTotal": 195, "vendorCount": 17,
  "offers": [
    { "source": "Super.com",    "perNight": 195, "total": 195, "roomName": null,            "official": false, "bookingLink": "https://www.google.com/aclk?..." },
    { "source": "Booking.com",   "perNight": 290, "total": 290, "roomName": null,            "official": false, "bookingLink": "https://www.google.com/aclk?..." },
    { "source": "Expedia.com",   "perNight": 292, "total": 292, "roomName": null,            "official": false, "bookingLink": "https://www.google.com/aclk?..." },
    { "source": "Official site", "perNight": 308, "total": 308, "roomName": "Standard room", "official": true,  "bookingLink": "https://www.google.com/aclk?..." }
  ],
  "vendors": [ { "source": "Super.com", "bookingLink": "https://www.google.com/aclk?...", "official": false } ],
  "hotelUrl": "https://www.google.com/travel/hotels/entity/ChkI...",
  "entityToken": "ChkIooCAqvyy0fDgARoML2cvMWhoZ18zbWdzEAE",
  "markdownContent": "# The Manhattan at Times Square Hotel (Google Hotels) ..."
}

Each offers[] row also carries checkInDate, checkOutDate and currency (omitted above for brevity), so every priced row stands on its own.

Output fields

Two datasets: Hotels (one row per hotel, prices nested) and Reviews (one row per guest review). Full dictionary in the GitHub docs.

Why this scraper

• The whole ladder, not just one price - most Google Hotels scrapers hand you a single "from" price. This one returns every source Google shows, so you can see rate parity and the real cheapest channel at a glance.
• Prices + reviews + discovery in one actor - paginate a destination search, price the full ladder, and pull reviews (with exact dates and owner responses) from the same run.
• Cost-aware, toggle-able - pay per hotel, plus a small charge per priced date and per review; switch prices or reviews off to run discovery-only and cheaper.
• Flexible entry - a destination search and/or specific hotels by name, a Google Hotels/Maps link, a maps.app.goo.gl short link, a ChIJ place-id or a ChkI entity token.

Who it's for

• Revenue managers & rate shoppers - monitor your own and competitors' rates and parity across every booking source, across dates.
• OTAs & metasearch builders - discovery plus the full priced ladder with booking links for a destination.
• Market & travel researchers - map every hotel in a destination with star class, ratings and price bands.
• AI agents & RAG pipelines - a clean, blind-fillable schema and a markdownContent block on every row; callable by AI agents through Apify's API and MCP integration.

How it compares

An alternative to enterprise rate-shopping suites and to piecing together official APIs - on pay-per-use pricing, with the raw data you own.

How much does it cost?

Pay only for what you pull - no start fee. Three events: Hotel $0.004 (each hotel returned), Prices $0.005 (each hotel priced - the full OTA ladder plus per-room rates, per date), and Review $0.001 (each review). So a hotel with its full price ladder is $0.009; discovery-only is $0.004. New Apify accounts get $5 in free credit (~555 fully-priced hotels, or ~1,250 discovery-only), and paid plans get a lower per-event rate. See the actor page for current pricing.

Worked examples:

• Price 20 hotels once (full ladder + rooms) - 20 × $0.009 = $0.18.
• Monitor a 50-hotel comp set across 30 check-in dates - 50 × $0.004 + 50 × 30 × $0.005 = ~$7.70 per sweep.
• Discovery-only sweep of 500 hotels (no prices) - 500 × $0.004 = $2.00.

How it works

Open the actor on Apify, enter a destination search (or paste hotel URLs/IDs), set your dates and occupancy, toggle prices and reviews, click Start, and download results as JSON, CSV, Excel, or HTML - or pull them from the API on a schedule. The developer docs, full field dictionary, and copy-paste snippets live in the GitHub repo.

Frequently asked questions

How much does it cost to scrape Google Hotels?

Pay-per-event, no start fee: Hotel $0.004 each, Prices $0.005 per hotel per date (full OTA ladder + rooms), Review $0.001 each. A fully-priced hotel is $0.009, discovery-only is $0.004. New accounts get $5 free credit (~555 fully-priced hotels); paid plans get a lower rate.

Do I need a Google account or API key?

No. Everything runs inside the actor on Apify - no login, no Google API key, no proxy or anti-bot setup.

Which booking sources does the price ladder include?

Every source Google shows for a hotel - typically 15–25, including Booking.com, Agoda, Expedia, Hotels.com, Priceline, Trip.com and KAYAK - each with its price and, where available, a booking link, all on one row.

Can I price specific hotels instead of a whole city?

Yes - add hotels by name, a Google Hotels/Maps link, a maps.app.goo.gl short link, a ChIJ place-id or a ChkI entity token, and set Track prices until for a multi-date price window.

Does it also scrape Google Hotels reviews?

Yes - turn on Include reviews for one row per guest review with reviewer, rating, review text, exact publish date and owner response, billed at $0.001 per review.

Why do a few hotels have no price ladder?

Almost all do. A property with no bookable offers on your dates still returns its name, rating, star class, coordinates and reviews - just an empty ladder.

Can I schedule daily or continuous price monitoring?

Yes. Run it on an Apify schedule (hourly or daily) and append each run to build a rate history - Apify handles the cron, storage, API and webhooks, with no server to run.

How many hotels can I get for one city?

A destination search paginates and de-duplicates results; set Max hotels (0 = no cap). Very large markets hit Google's per-query ceiling, so split by area, star class or price band for a full-market sweep.

How fresh are the prices?

Live. Prices are fetched from Google at run time for your exact dates and occupancy - the same rates a visitor would see then.

Which countries and currencies are supported?

13 Google country markets, 20 currencies and 9 interface languages. Country changes which hotels appear, the pricing market and the OTA mix.

How does it compare to enterprise rate-shopping tools?

You get the same public rate-parity data - every OTA's price per hotel, across dates - on pay-per-use pricing instead of a fixed monthly seat, and you own the raw data to pipe anywhere.

Try it free on Apify

Read the full guide: step-by-step tutorial → · Expedia scraper → · Hotels.com scraper →