Google Hotel Reviews Scraper

Give it Google Hotels links or hotel names and it returns every guest review Google shows as one JSON row each: rating, original text plus Google's translation, date, trip type and party, the rooms/service/location scores, the hotel's reply, and the partner-site reviews Google lists next to its own (Tripadvisor, Trip.com and others). Each hotel also gets a free summary row with its star histogram and topic breakdown. $0.54 per 1,000 reviews; you pay only for rows you get.

$0.54 per 1,000 reviews on the Free plan, down to $0.27 on higher plans

Why this actor

• Fast and deep. Up to 200 reviews per request from Google's own data endpoint, no browser: 4,761 reviews of a large hotel in under a minute.
• Partner reviews and topics that Google Maps review scrapers do not return.
• Only new reviews under a stateKey, plus free coverage and error rows with codes.

Drop-in input

Easy switch. Input names of other Google review actors (startUrls, hotelUrls, maxReviews, reviewsSort and more) are accepted.

As stated in the actor’s README. The full list of accepted input names is on the Store page.

What you get

Review row (rowType: "review"), the shared review shape of all our review actors:

Hotel summary row (rowType: "hotel-summary", free, one per hotel; switch off with includeHotelSummary: false):

Sample row (from the README example; long text shortened, lists cut to two items):

{
  "rowType": "review",
  "platform": "googlehotels",
  "productName": "Ritz Paris",
  "entityId": "ChUImcGKtLfWgL9OGgkvbS8wNTZuODEQAQ",
  "reviewId": "GoogleHotels___Ci9DQUlRQUNvZENodHljRjlvT25GSlZXbzJkV1Z0VTNwdmVGTXRVblUxY2s5aE1WRRAB",
  "ratingOverall": 4,
  "ratings": {
    "rooms": 3,
    "service": 4,
    "location": 3
  },
  "date": "2026-10-16",
  "text": "이곳은 아름다운스파 수영장 레스토랑 노을을 볼수있는곳 까지있어서 너무아름다워요 고급프랑스느낌",
  "vendorResponse": "Cher [name],\n\nThank you for taking the time to share your wonderful feedback. ...\n\nKind regards,\n\n[name]\n Directrice d'hôtel, Ritz Paris",
  "language": null,
  "extras": {
    "source": "Google",
    "sourceType": "google",
    "dateText": "6 days ago",
    "datePrecision": "day",
    "textTranslated": "This place is so beautiful, with a lovely spa, swimming pool, restaurant, and even a spot to watch the sunset. It has a luxurious French feel.",
    "translatedTo": "en",
    "tripType": "vacation",
    "travellerType": "couple",
    "visitMonth": "2026-10",
    "highlights": [
      "Luxury",
      "Romantic"
    ],
    "ownerResponseDate": "2026-10-17",
    "photoCount": null
  }
}

Price

Live Apify price on 2026-10-31, per 1,000 rows, by Apify plan. You pay only for rows delivered; error and summary rows marked free in the README cost nothing. Plus $0.001 per GB of memory when a run starts.

Use cases

• Reputation monitoring: new Google reviews of your hotels every morning (onlyNewReviews), with the reply status of each.
• Competitive set: compare topic sentiment (breakfast, service, location) of your hotel with the five hotels next door.
• Review analytics: thousands of reviews per hotel with trip type and aspect scores, translated into one language.
• Reply quality: which reviews got an answer, how fast (extras.ownerResponseDate), in which language.

Run it from code or an AI agent

Actor ID arcadium/google-hotel-reviews. Set APIFY_TOKEN to your Apify API token. The input below is the actor’s prefilled example; see the guide for every field.

curl -X POST "https://api.apify.com/v2/acts/arcadium~google-hotel-reviews/run-sync-get-dataset-items" \
  -H "Authorization: Bearer $APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"hotels":["https://www.google.com/travel/hotels/entity/ChUImcGKtLfWgL9OGgkvbS8wNTZuODEQAQ","Hotel Adlon Kempinski Berlin"],"maxReviewsPerHotel":20,"sort":"newest","reviewSource":"all","language":"en","country":"us"}'

// npm install apify-client
import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor('arcadium/google-hotel-reviews').call({
  "hotels": [
    "https://www.google.com/travel/hotels/entity/ChUImcGKtLfWgL9OGgkvbS8wNTZuODEQAQ",
    "Hotel Adlon Kempinski Berlin"
  ],
  "maxReviewsPerHotel": 20,
  "sort": "newest",
  "reviewSource": "all",
  "language": "en",
  "country": "us"
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

# pip install apify-client
import os
from apify_client import ApifyClient

client = ApifyClient(os.environ["APIFY_TOKEN"])
run = client.actor("arcadium/google-hotel-reviews").call(run_input={
    "hotels": ["https://www.google.com/travel/hotels/entity/ChUImcGKtLfWgL9OGgkvbS8wNTZuODEQAQ", "Hotel Adlon Kempinski Berlin"],
    "maxReviewsPerHotel": 20,
    "sort": "newest",
    "reviewSource": "all",
    "language": "en",
    "country": "us",
})
items = client.dataset(run["defaultDatasetId"]).list_items().items
print(items)

{
  "mcpServers": {
    "apify": {
      "url": "https://mcp.apify.com/?tools=arcadium/google-hotel-reviews",
      "headers": {
        "Authorization": "Bearer <APIFY_TOKEN>"
      }
    }
  }
}

# pip install langchain-apify   (reads APIFY_API_TOKEN from the environment)
from langchain_apify import ApifyActorsTool

tool = ApifyActorsTool("arcadium/google-hotel-reviews")
rows = tool.invoke({"run_input": {
    "hotels": ["https://www.google.com/travel/hotels/entity/ChUImcGKtLfWgL9OGgkvbS8wNTZuODEQAQ", "Hotel Adlon Kempinski Berlin"],
    "maxReviewsPerHotel": 20,
    "sort": "newest",
    "reviewSource": "all",
    "language": "en",
    "country": "us",
}})
# or give `tool` to an agent: create_react_agent(llm, [tool])

# pip install llama-index-readers-apify
import os
from llama_index.core import Document, VectorStoreIndex
from llama_index.readers.apify import ApifyActor

reader = ApifyActor(os.environ["APIFY_TOKEN"])
documents = reader.load_data(
    actor_id="arcadium/google-hotel-reviews",
    run_input={
        "hotels": ["https://www.google.com/travel/hotels/entity/ChUImcGKtLfWgL9OGgkvbS8wNTZuODEQAQ", "Hotel Adlon Kempinski Berlin"],
        "maxReviewsPerHotel": 20,
        "sort": "newest",
        "reviewSource": "all",
        "language": "en",
        "country": "us",
    },
    dataset_mapping_function=lambda item: Document(text=str(item.get("text") or ""), metadata={"url": item.get("url")}),
)
index = VectorStoreIndex.from_documents(documents)

# pip install crewai crewai-tools langchain-apify   (reads APIFY_API_TOKEN from the environment)
from crewai import Agent
from crewai_tools import ApifyActorsTool

tool = ApifyActorsTool(actor_name="arcadium/google-hotel-reviews")
researcher = Agent(
    role="Research analyst",
    goal="Answer with data collected by the tool",
    backstory="Uses public web data.",
    tools=[tool],
)

{
  "nodes": [
    {
      "name": "Run arcadium/google-hotel-reviews",
      "type": "n8n-nodes-base.httpRequest",
      "typeVersion": 4,
      "position": [
        0,
        0
      ],
      "parameters": {
        "method": "POST",
        "url": "https://api.apify.com/v2/acts/arcadium~google-hotel-reviews/run-sync-get-dataset-items",
        "authentication": "genericCredentialType",
        "genericAuthType": "httpHeaderAuth",
        "sendBody": true,
        "specifyBody": "json",
        "jsonBody": "{\"hotels\":[\"https://www.google.com/travel/hotels/entity/ChUImcGKtLfWgL9OGgkvbS8wNTZuODEQAQ\",\"Hotel Adlon Kempinski Berlin\"],\"maxReviewsPerHotel\":20,\"sort\":\"newest\",\"reviewSource\":\"all\",\"language\":\"en\",\"country\":\"us\"}",
        "options": {
          "timeout": 300000
        }
      }
    }
  ],
  "connections": {}
}

// Extensions > Apps Script. Store your token once: Project Settings > Script properties > APIFY_TOKEN.
function importLastRun() {
  const token = PropertiesService.getScriptProperties().getProperty('APIFY_TOKEN');
  const url = 'https://api.apify.com/v2/acts/arcadium~google-hotel-reviews/runs/last/dataset/items?status=SUCCEEDED&clean=true&format=json';
  const res = UrlFetchApp.fetch(url, { headers: { Authorization: 'Bearer ' + token } });
  const rows = JSON.parse(res.getContentText());
  if (!rows.length) return;
  const keys = Object.keys(rows[0]);
  const values = rows.map((r) => keys.map((k) => (typeof r[k] === 'object' ? JSON.stringify(r[k]) : r[k])));
  const sheet = SpreadsheetApp.getActiveSheet();
  sheet.clearContents();
  sheet.getRange(1, 1, 1, keys.length).setValues([keys]);
  sheet.getRange(2, 1, values.length, keys.length).setValues(values);
}

Limitations

• Google shows review dates only as "3 months ago" or "a year ago", so date is approximate: to the day for the last week, then to the week, month or year (extras.datePrecision). The date filter and only-new mode work with these dates. Dates are read for English, German, French, Spanish, Italian, Portuguese and Dutch; other language values leave date empty (the original wording is in extras.dateText).
• Partner sites appear with the sample of reviews Google shows (e.g. 109 of 1,073 Tripadvisor reviews of a large hotel), not their full review list. For all Tripadvisor or Booking.com reviews use a source actor.
• Google does not state the review language; language is null. A translated review has extras.translatedTo.
• Topic filters use Google's topic list of each hotel; mention counts in the summary also count reviews the list does not return, so a topic filter can return fewer reviews than the topic's mentions.
• The actor reads Google over Apify's shared datacenter proxy. When Google rate-limits that pool, the run retries with short pauses and, if the limit persists, stops and reports the remaining hotels as free blocked error rows. Run again later.

FAQ

How do I find a hotel's entity token? It is the entityId of any row and the Ch... part of a Google Hotels link (/travel/hotels/entity/<token>). A hotel name with the city works too; the actor checks that Google's match shares a word with your name and reports no_match otherwise.

Why are there more reviews than Google's review count? reviewCount counts Google reviews only. With reviewSource: "all" the partner-site reviews Google shows come on top.

Why is text in Korean when I asked for English? text is always the original. The English version is in extras.textTranslated.

Something looks wrong in the output. Who do I tell? Open an issue on the actor page with the run link. We read them all.

Related actors