Google Hotels Scraper - Prices, Ratings, Price Calendar

Scrape Google Hotels for any city, area or landmark and any dates: price per night and total price for your stay, star class, guest rating and number of reviews, rating breakdown, coordinates, hotel website, photos, description, check-in/out times, nearby places and the Google Hotels / Google Maps links. No browser, no API key.

Search many locations and many check-in dates in one run - every row carries its search (location, check-in, check-out, nights, adults, currency), so a run with several dates is a ready-made price calendar.

Why this one

• It works. Plain, fast HTTPS requests to Google Hotels (about 20 hotels per request, paginated), not a slow headless browser. If Google throttles, the request is retried on a proxy automatically.
• Price calendar. Add several check-in dates to compare prices across dates in one dataset.
• Pay only for what you keep. Filters for minimum rating, maximum price per night and star class are applied before saving - only matching hotels are charged.
• Any currency and language. Prices in USD, EUR, BRL, JPY...; names and descriptions in your language.
• Approximate places welcome. "Times Square, New York" or "near the Eiffel Tower" work; the place Google used is returned in resolvedLocation.

Input example

{
  "locations": ["Paris", "Rio de Janeiro"],
  "checkIn": "2026-11-12",
  "checkInDates": ["2026-12-10"],
  "nights": 3,
  "adults": 2,
  "currency": "EUR",
  "maxHotelsPerSearch": 100,
  "minRating": "4",
  "hotelClass": ["4", "5"]
}

Output example (shortened)

{
  "name": "Ritz Copacabana Hotel",
  "hotelClass": 4,
  "pricePerNight": 154,
  "priceTotal": 463,
  "currency": "EUR",
  "rating": 4.5,
  "reviewCount": 917,
  "latitude": -22.97,
  "longitude": -43.19,
  "website": "https://...",
  "photos": ["https://lh3.googleusercontent.com/..."],
  "googleHotelsUrl": "https://www.google.com/travel/hotels/entity/...",
  "googleMapsUrl": "https://maps.google.com/?cid=...",
  "resolvedLocation": "Rio de Janeiro",
  "searchLocation": "Rio de Janeiro",
  "checkIn": "2026-11-12",
  "checkOut": "2026-11-15",
  "nights": 3,
  "adults": 2,
  "position": 1,
  "scrapedAt": "2026-10-04T20:10:00Z"
}

The OUTPUT record summarises every search: hotels found, matching filters and saved, the place Google resolved, and any error.

Run it on a schedule and connect it to your tools

Schedule: in Apify Console open Schedules → Create, pick this actor and your input, and set it to run every Monday at 07:00 (your time zone) for a fresh dataset on a fixed day. Each run returns the full, current result set as a new dataset.

Integrations (Actor → Integrations tab, no code):

• Google Sheets — append every run's rows to a sheet.
• Make, Zapier, n8n — start the actor from a scenario/zap/workflow and use the rows in the next steps.
• Webhook — get a POST to your endpoint when a run succeeds, then download the dataset.
• Slack / email — notify your team when a scheduled run finishes.

AI agents (MCP) — Claude, ChatGPT, Cursor, VS Code or any MCP client can run it as a tool: add the Apify MCP server https://mcp.apify.com?actors=kalilfagundes.w/google-hotels-scraper (sign in with your Apify account) and ask for the data in plain language. The agent fills the input from the input schema and reads the dataset back.

API — call it from your code (pip install apify-client / npm i apify-client):

from apify_client import ApifyClient

client = ApifyClient("<YOUR_APIFY_TOKEN>")
run = client.actor("kalilfagundes.w/google-hotels-scraper").call(run_input={
    "locations": [
        "Paris",
        "Rio de Janeiro"
    ],
    "checkIn": "2026-11-12",
    "checkInDates": [
        "2026-12-10"
    ],
    "nights": 3,
    "currency": "EUR",
    "maxHotelsPerSearch": 25,
    "maxItems": 100
})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: '<YOUR_APIFY_TOKEN>' });
const run = await client.actor('kalilfagundes.w/google-hotels-scraper').call({
  "locations": [
    "Paris",
    "Rio de Janeiro"
  ],
  "checkIn": "2026-11-12",
  "checkInDates": [
    "2026-12-10"
  ],
  "nights": 3,
  "currency": "EUR",
  "maxHotelsPerSearch": 25,
  "maxItems": 100
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

Pricing

Pay per event, platform usage included: one hotel event per saved hotel row (see the Pricing tab). Hotels removed by your filters are not charged.

Tips & limitations

• Prices are what Google Hotels shows for the dates, guests and currency you choose (usually the lowest offer).
• Google shows up to ~20 hotels per page; maxHotelsPerSearch controls how many pages are read.
• For daily price tracking, save the input as a task and schedule it.

Related actors

• Google Flights Scraper & API - Flight Prices & Cheap Flights
• Amazon Price Tracker & Product Scraper - ASIN, BSR, 23 Sites
• Walmart Product Search Scraper - Prices, Ratings, Sellers

Feedback

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