# Google Hotels Scraper (`fetch_cat/google-hotels-scraper`) Actor

Export Google Hotels properties, live prices, ratings, amenities, and public booking offers for destinations and stay dates.

- **URL**: https://apify.com/fetch_cat/google-hotels-scraper.md
- **Developed by:** [Fetch Cat](https://apify.com/fetch_cat) (community)
- **Categories:** Travel, E-commerce
- **Features:** Limited permissions
- **Stats:** 2 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.34 / 1,000 item processeds

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

Export public Google Hotels search results for destinations, stay dates, and guest counts. Get one hotel per dataset row with displayed prices, ratings, review counts, amenities, images, and Google Travel links for spreadsheets, databases, and travel workflows. Public property details and booking offers are optional. Unavailable fields stay empty.

### Quick start

1. Choose a destination and check-in/check-out dates that are not in the past.
2. Paste this small input and run the Actor. Download the dataset as CSV, Excel, or JSON when it finishes.

```json
{"queries":["hotels in Paris"],"checkInDate":"2027-06-15","checkOutDate":"2027-06-17","maxResultsPerQuery":5,"includeDetails":false,"includeOffers":false}
```

Prices and optional details may be unavailable. Check `priceAvailable`, `status`, and `diagnostics` before comparing rows.

Prefer a video guide? This short Apify walkthrough shows you how to set up and run an Actor. It uses a different Actor, but the setup steps are the same.

https://youtu.be/1OW8gOqlZbY?t=25

### Ready-to-run examples

Choose a public example to see its settings before starting a run:

- [Compare Paris Hotel Rates](https://apify.com/fetch_cat/google-hotels-scraper/examples/compare-paris-hotel-rates)
- [Export New York Hotel Prices](https://apify.com/fetch_cat/google-hotels-scraper/examples/export-new-york-hotel-prices)

### What you get

One hotel row for each saved unique property within a query, with stay and guest context, available displayed nightly prices, ratings, amenities, image links and Google Travel identity. Optional public details or booking offers can be missing. Total-price and description fields remain null as documented below.

### Who is it for?

Hotel revenue managers, travel agencies, travel-tech builders, destination analysts and accommodation pricing teams can use this Actor for repeatable destination/date observations.

### How you can use the data

- **Prepare a Paris stay-date snapshot.** Use the existing Paris recipe with exact dates and a small per-query cap. Keep propertyToken, query, stay dates, guest counts and scrapedAt together before comparing hotel records.
- **Compare destination samples downstream.** Use the existing New York and Eiffel Tower queries, then group exported rows by query. Keep requestedCurrency and actual currency separate because Google can display another currency. This is not a complete inventory or live booking quote.
- **Review a budget-and-rating shortlist carefully.** Apply the supported price and minimum-rating filters, then inspect priceAvailable and missing fields. Unknown prices or ratings can pass these filters, and values are compared as displayed rather than converted between currencies.
- **Inspect optional public offers and diagnostics.** Enable enrichment only when needed and retain Google Travel links with available vendor offers. Check detailStatus, status and diagnostics before comparing partial rows, without inferring a total stay price or complete booking availability.

### Input settings

```json
{
  "queries": ["hotels in New York", "hotels near Eiffel Tower"],
  "checkInDate": "2027-06-15",
  "checkOutDate": "2027-06-17",
  "adults": 2,
  "currency": "USD",
  "language": "en",
  "country": "US",
  "maxResultsPerQuery": 20,
  "includeDetails": false,
  "includeOffers": false
}
```

Dates use `YYYY-MM-DD`. Check-in may be today or later. Checkout must be after check-in.

#### More input settings

| Field | Type | Description |
|---|---|---|
| `queries` | string\[] | Destinations, landmarks, neighborhoods, or hotel names.  1–20 nonempty queries, up to 500 characters each. |
| `checkInDate` | string | Check-in date, today or later, in `YYYY-MM-DD` format. |
| `checkOutDate` | string | Checkout date after check-in. |
| `adults` | integer | Adult guests, from 1 to 20. |
| `childrenAges` | integer\[] | Ages of up to 20 child guests, each from 0 to 17. |
| `currency` | string | Requested three-letter currency code, such as `USD` or `EUR`. |
| `language` | string | Two-letter Google interface language code. |
| `country` | string | Two-letter Google search region code. |
| `maxResultsPerQuery` | integer | Maximum unique hotels saved for each query, from 1 to 500. Default 20. |
| `includeDetails` | boolean | Request public property-detail enrichment when available. Default `true`. Search rows are preserved if enrichment is unavailable. |
| `includeOffers` | boolean | Include the public booking-offer ladder when Google displays it. Default `true`. Set both enrichment options to `false` for a lighter search-only run. |
| `minPrice`, `maxPrice` | number | Optional nightly-price filters. |
| `minRating` | number | Optional minimum guest rating from 0 to 5. |
| `hotelClasses` | integer\[] | Optional hotel star classes to keep. |
| `proxyConfiguration` | object | Optional managed or custom proxies. See field help. Omit for direct access, or set `useApifyProxy: false` to opt out of managed proxies. An empty object selects managed Proxy. Unsupported/malformed options are rejected before extraction or startup charges. |

### Output data

Illustrative shape only, not a real hotel or observed price:

```json
{
  "query": "hotels in New York",
  "checkInDate": "2027-06-15",
  "checkOutDate": "2027-06-17",
  "adults": 2,
  "childrenAges": [],
  "requestedCurrency": "USD",
  "currency": "USD",
  "language": "en",
  "country": "US",
  "hotelName": "Example Hotel",
  "propertyToken": "example-token",
  "googleTravelUrl": "https://www.google.com/travel/hotels/entity/example-token",
  "propertyType": "hotel",
  "description": null,
  "address": null,
  "latitude": null,
  "longitude": null,
  "hotelClass": 4,
  "rating": 4.4,
  "reviewCount": 1280,
  "locationRating": null,
  "pricePerNight": 219,
  "pricePerNightDisplay": "$219",
  "totalPrice": null,
  "totalPriceDisplay": null,
  "priceAvailable": true,
  "amenities": ["Pool", "Free Wi-Fi"],
  "images": ["https://example.com/hotel.jpg"],
  "checkInTime": null,
  "checkOutTime": null,
  "ecoCertified": false,
  "offers": [],
  "detailStatus": "not_requested",
  "status": "succeeded",
  "diagnostics": [],
  "scrapedAt": "2026-09-17T12:00:00.000Z"
}
```

Fields unavailable on a particular public result remain `null` or an empty array, so exports keep a stable shape.

#### More output fields

| Field group | Contents |
|---|---|
| Request context | `query`, stay dates, guest counts, requested currency, language and country. |
| Hotel identity | `hotelName`, `propertyToken`, `googleTravelUrl`, `propertyType`, `address`, `latitude`, `longitude`. Address/coordinates vary by result.  `description` is currently always `null`. |
| Quality | Hotel class, guest rating, review count, location rating and eco-certification signal. Ratings are not full review text. |
| Rates | `currency`, `pricePerNight`, `pricePerNightDisplay`, `priceAvailable`. `totalPrice` and `totalPriceDisplay` are currently always `null`, including inside offers. Missing prices are not zero-price offers. |
| Property information | Amenities, image URLs and check-in/check-out times when displayed. |
| Booking offers | `offers`: public vendor name/icon, sponsorship status, prices and booking URL when available. |
| Status | `detailStatus`, `status`, `diagnostics` and `scrapedAt`. Inspect diagnostics before treating partial enrichment as complete. |

#### Download your results

Open your run's dataset, choose **Export** and select JSON, CSV or Excel. JSON keeps nested fields together. CSV and Excel are useful when you want to review the records in a spreadsheet.

See [Apify's download and export guide](https://docs.apify.com/storage/dataset#apify-console) for the available formats and field options.

### Pricing

Pay-per-event pricing uses a run-start `start` charge and an `item` event for each hotel row successfully stored. Failed or filtered rows are not charged as results. A started run can incur its start fee even when no hotels are exported.

See the [live Pricing tab](https://apify.com/fetch_cat/google-hotels-scraper/pricing) for current tier-specific rates before starting a run.

### Tips for best results

- **Keep dates, guests and capture time with each comparison.** Prices and availability change frequently.
- **Compare actual display currency with requested currency.** Do not combine displayed prices as though a currency request guarantees conversion.
- **Check price availability before budget analysis.** Missing prices are not zero-price offers and can survive filters.
- **Read enrichment diagnostics.** Details, coordinates or offers can be unavailable while the underlying search row remains useful.
- **Start with small query batches and caps.** One blocked query does not invalidate saved records from others.

### Limits and caveats

Use small query batches for property details or booking offers. Processing time is bounded, so searches can return partial results and fewer rows than the per-query cap. Work stops when remaining result-charge capacity is exhausted.

No matches or completed extraction with no usable rows succeeds with an empty dataset. RUN_SUMMARY explains outcomes and incomplete queries. Systemic extraction, essential storage and billing failures still fail the run. Already-saved rows remain available from other queries.

Public fields vary by language, country, dates and consent region. Some cards lack prices, addresses, coordinates or offers. Missing values remain empty rather than inferred. Description and total-price fields, including offer totals, remain null. Search order is preserved without a sorting control.

Price and rating filters exclude rows only when the relevant value is available. Missing values can remain, and price bounds compare displayed values rather than currency-converted amounts. Inspect requested and returned currencies before combining rows.

This Actor exports public search information rather than completing bookings, accessing private accounts or collecting full review histories. Optional offers do not guarantee current booking availability. Verify source rates and conditions separately before use.

### Automation and integrations

#### Save your settings for next time

Once you have an input that works for you, [save it as an Apify task](https://docs.apify.com/actors/running/tasks). This keeps your settings together so you can use them again without filling in the form from scratch.

#### Run on a schedule

Need fresh results regularly? You can [schedule the Actor or a saved task](https://docs.apify.com/actors/running/schedules) to run at a time that suits you.

Each scheduled run collects the data again. If you want to compare results or highlight changes, add that step in your own workflow.

#### Send results to your other tools

Use **n8n, Make or Zapier** to connect this scraper to the rest of your workflow. For example, you could pass its results to an AI assistant or add records to a spreadsheet. Follow the [Apify integration guides](https://docs.apify.com/integrations) for your chosen tool.

For a custom connection, an [Apify webhook](https://docs.apify.com/integrations/webhooks) can notify your app when a run finishes or fails. Your app can then fetch the results or handle the failure.

### API usage

Want to collect this data from your own app or automation? The examples below send input to the scraper and show how to collect its results.

The Node.js and Python examples wait for the run to finish before reading its results. The cURL example starts the run and returns its details. Wait for that run to finish, then use its `defaultDatasetId` to fetch the results.

For setup instructions, see Apify's [JavaScript client guide](https://docs.apify.com/api/client/js), [Python client guide](https://docs.apify.com/api/client/python) and [Actor runs API reference](https://docs.apify.com/api/v2/acts-runs-post).

#### cURL

```bash
curl -X POST 'https://api.apify.com/v2/acts/fetch_cat~google-hotels-scraper/runs' \
  -H "Authorization: Bearer $APIFY_TOKEN" \
  -H 'Content-Type: application/json' \
  --data @- <<'JSON'
{
  "queries": [
    "hotels in Paris"
  ],
  "checkInDate": "2027-06-15",
  "checkOutDate": "2027-06-17",
  "maxResultsPerQuery": 5,
  "includeDetails": false,
  "includeOffers": false
}
JSON
```

#### Node.js

```javascript
import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor('fetch_cat/google-hotels-scraper').call({
  "queries": [
    "hotels in Paris"
  ],
  "checkInDate": "2027-06-15",
  "checkOutDate": "2027-06-17",
  "maxResultsPerQuery": 5,
  "includeDetails": false,
  "includeOffers": false
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);
```

#### Python

```python
import os
from apify_client import ApifyClient

client = ApifyClient(os.environ['APIFY_TOKEN'])
run = client.actor('fetch_cat/google-hotels-scraper').call(run_input={'queries': ['hotels in Paris'], 'checkInDate': '2027-06-15', 'checkOutDate': '2027-06-17', 'maxResultsPerQuery': 5, 'includeDetails': False, 'includeOffers': False})
print(client.dataset(run['defaultDatasetId']).list_items().items)
```

### MCP and AI agents

You can ask your AI assistant to collect data with **Google Hotels Scraper** and help you work with the results. The scraper returns the data, and your assistant can then summarize it, compare records or prepare notes.

Connect your assistant through the [Apify MCP server](https://mcp.apify.com/). MCP gives your assistant a way to find this scraper, run it and read the results. Follow the [official setup and sign-in guide](https://docs.apify.com/mcp) for your app.

#### Easier setup with an Apify plugin

If you use a supported coding assistant, the [official Apify plugin](https://docs.apify.com/agents/plugins) can set up the connection for you. It connects your assistant to Apify and includes instructions for common tasks. Follow the guide for your particular app.

#### Use Apify AI in Console

Prefer to keep everything in Apify? Open [Apify AI in Console](https://docs.apify.com/account/apify-ai) and ask it to find Fetch Cat's **Google Hotels Scraper**. You can describe the data you want and ask questions about the results.

Apify AI is currently in beta. It asks for confirmation before starting an Actor, and normal run charges apply.

#### Choose your assistant

- **Claude and Claude Code (Anthropic):** [Apify setup guide](https://docs.apify.com/integrations/claude).
- **ChatGPT and Codex (OpenAI):** [Apify setup guides](https://docs.apify.com/integrations/openai).
- **Grok Bot (xAI):** [Apify plugin guide](https://docs.apify.com/integrations/grok-bot).
- **Gemini CLI (Google):** [MCP server setup guide](https://geminicli.com/docs/tools/mcp-server/). Use the server URL below with the HTTP configuration supported by Gemini CLI.

#### Connect just this scraper

To keep your setup focused on this scraper, add this server configuration to a compatible MCP client:

```json
{
  "mcpServers": {
    "apify": {
      "url": "https://mcp.apify.com?tools=fetch_cat/google-hotels-scraper"
    }
  }
}
```

Sign in to Apify when your client asks. If your client uses a Bearer token instead, follow its setup guide and keep the token in its secure configuration. Configuration formats vary by app, so use the linked guide if your client needs a different format.

#### Use Apify's general server

Already connected to the general Apify MCP server at `https://mcp.apify.com`? You can use it to find this scraper without adding another server. Ask your assistant to use **Google Hotels Scraper** by Fetch Cat, or give it the identifier `fetch_cat/google-hotels-scraper`.

Your assistant can check the available settings and retrieve the results from the returned run. If the run is still working, it should follow that run rather than start it again. Both connection options use Apify's hosted service.

#### Example requests

- “Use Fetch Cat’s Google Hotels Scraper to collect up to 5 Paris hotels for 15–17 June 2027 with details and offers off. Show displayed nightly prices, actual currency and price-availability flags with source links.”
- “Collect at most 3 hotels per query for New York and near Eiffel Tower for 15–17 June 2027, requesting USD for 2 adults. Keep actual currency and query labels separate so I can group the snapshots in my own spreadsheet.”
- “Retrieve up to 3 results for the named hotel and future stay dates I provide with public details and offers enabled. Show available vendor links and diagnostics without inventing total-stay prices or guaranteed booking availability.”

Normal Apify charges apply. Check the [live Pricing tab](https://apify.com/fetch_cat/google-hotels-scraper/pricing) before asking your assistant to run a larger batch.

### Pay with x402

If your AI agent has a funded wallet, it can pay for Apify usage through [x402](https://docs.apify.com/integrations/x402). This experimental option lets an agent use Apify without a conventional account.

[Apify AGI](https://agi.apify.com/) provides a prepaid API token with a spending cap after payment. Your agent can use that token to run this scraper through the Apify API or an authenticated MCP connection.

Some MCP setups also support paying for each request directly. That is a different payment option, so check the official guide for its availability.

Follow the official guide for wallet setup, supported payment options and current terms. Apify handles the payments. Keep wallet keys and payment tokens in your agent's secure configuration.

#### Other ways for agents to pay

Apify also supports **MPP** for prepaid access through AGI and **Skyfire** for eligible Actors. If your agent already uses one of these, see the [agentic payment guide](https://docs.apify.com/agents/payments) to choose the right setup.

### FAQ

#### Can I search by hotel name instead of a city?

Yes. `queries` accepts destinations, landmarks, neighborhoods, and named hotels.

#### What data can I export with Google Hotels Scraper?

You can scrape Google Hotels prices alongside hotel identity, stay dates, guest context, ratings, amenities, images, and public booking offers when displayed.

#### Does it return live prices?

It returns the public rates displayed by Google Hotels for the supplied dates and guests. A property may have no displayed price.

#### Can I run Google Hotels Scraper through an API, schedule, or MCP client?

Yes. Use the API request above, schedule saved Actor inputs in Apify, or connect the MCP tool for bounded date-specific hotel searches.

#### How much does it cost to use Google Hotels Scraper?

It charges a small start event plus one event for each hotel row successfully saved. Review the current rate on the Actor Pricing tab before starting a run.

#### Can I use the output in Excel, Google Sheets, or a database?

Yes. Apify datasets export to JSON, CSV, Excel, XML, and other formats and can be accessed through the API.

#### Does it support API and MCP automation?

Yes. Use the Apify API, client libraries, webhooks, integrations, or the MCP endpoint above.

#### Is this an official Google product?

No. This independent Actor reads publicly displayed search information and is not affiliated with Google. Follow applicable laws, website terms, and data-use requirements.

#### What happens when Google returns no usable results?

A valid search with no matches, or no usable rows after filtering, succeeds with an empty dataset and a reason in `RUN_SUMMARY`. Extraction defects, essential storage failures and billing failures are not converted into empty success. Results already saved for other queries remain available.

### Related Actors

- [Google Maps Lead Finder](https://apify.com/fetch_cat/google-maps-lead-finder) — Collect public Maps business listings and optionally published website contact details for hotel-area business research.
- [Google Flights Scraper](https://apify.com/fetch_cat/google-flights-scraper) — Collect public fare options, schedules and available segment details for a route and travel date.
- [Google Maps Places Scraper](https://apify.com/fetch_cat/google-maps-places-scraper) — Collect public place names, Maps links and available listing details for local business research.
- [Booking.com Hotels Scraper](https://apify.com/fetch_cat/booking-com-hotels-scraper) — Collect public hotel listings and available stay details from destinations or hotel URLs.
- [Agoda Hotels Scraper](https://apify.com/fetch_cat/agoda-hotels-scraper) — Collect public hotel listing cards with displayed prices, locations and available guest ratings.

### Support and feedback

For custom additions or integrations, email <hello@fetchcat.dev>.

Found an error or have a feature request? [Open an issue](https://apify.com/fetch_cat/google-hotels-scraper/issues) with the run URL, a non-sensitive input example and what you expected.

Need help sharing it? See [Apify’s guide to sharing a run when reporting an issue](https://docs.apify.com/account/collaboration/general-resource-access#automatically-sharing-runs-via-actor-issues). Sharing a run can give the developer access to its input, logs and results, so use a run that contains no sensitive data. Please leave out API tokens, passwords, cookies, private documents and personal data. Use a public sample URL or a redacted example instead.

Tried this scraper? We'd love to hear how it worked for you. [Leave a review](https://apify.com/fetch_cat/google-hotels-scraper/reviews) to help others choose the right tool and help us improve it. Your feedback means a lot to us.

Made with care for curious people, AI agents and the possibilities in data. ♥

# Changelog

This Actor's version history is a separate document: https://apify.com/fetch_cat/google-hotels-scraper/changelog.md

# Actor input Schema

## `queries` (type: `array`):

Cities, landmarks, neighborhoods, or hotel names to search.

## `checkInDate` (type: `string`):

Check-in date, today or later (UTC), in YYYY-MM-DD format.

## `checkOutDate` (type: `string`):

Date after check-in in YYYY-MM-DD format.

## `currency` (type: `string`):

Three-letter currency code, such as USD or EUR.

## `language` (type: `string`):

Two-letter Google interface language code.

## `maxResultsPerQuery` (type: `integer`):

Stop after this many unique hotel rows per query.

## `adults` (type: `integer`):

Number of adult guests.

## `childrenAges` (type: `array`):

Age of each child guest, from 0 to 17 (at most 20 children).

## `country` (type: `string`):

Two-letter Google search region code.

## `includeDetails` (type: `boolean`):

Fetch additional public property details when available.

## `includeOffers` (type: `boolean`):

Collect the public vendor offer ladder when Google displays it.

## `minPrice` (type: `number`):

Optional minimum displayed nightly price. Applies only when a numeric price is available; unpriced hotels remain. Values use Google's displayed currency, which can differ from the requested currency.

## `maxPrice` (type: `number`):

Optional maximum displayed nightly price. Applies only when a numeric price is available; unpriced hotels remain. Check the returned currency before comparing results.

## `minRating` (type: `number`):

Optional minimum rating from 0 to 5. Applies when a rating is available; unrated hotels remain.

## `hotelClasses` (type: `array`):

Optional star classes to keep, from 1 to 5. Hotels without a known class remain.

## `proxyConfiguration` (type: `object`):

Optional Apify SDK proxy configuration, shared by browser and detail requests. Omit this field for direct access. useApifyProxy=false explicitly disables managed proxies, including when valid managed prefills are present; proxyUrls still selects custom proxies. An empty object selects managed Apify Proxy. Supported JSON options: useApifyProxy, proxyUrls, groups/apifyProxyGroups, countryCode/apifyProxyCountry, subdivisionCode/apifyProxySubdivision, password, checkAccess, tieredProxyUrls and tieredProxyConfig. SDK aliases retain their existing precedence. Country codes must be uppercase two-letter codes; subdivisions require a country. Unsupported keys, null/malformed values and conflicting custom/managed settings are rejected before extraction or startup charges, without printing supplied values. There is no Direct/Automatic selector or unrequested fallback. Proxy traffic can incur additional usage costs.

## Actor input object example

```json
{
  "queries": [
    "hotels in New York"
  ],
  "checkInDate": "2027-06-15",
  "checkOutDate": "2027-06-16",
  "currency": "USD",
  "language": "en",
  "maxResultsPerQuery": 20,
  "adults": 2,
  "childrenAges": [],
  "country": "US",
  "includeDetails": true,
  "includeOffers": true
}
```

# Actor output Schema

## `overview` (type: `string`):

No description

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "queries": [
        "hotels in New York"
    ],
    "checkInDate": "2027-06-15",
    "checkOutDate": "2027-06-16"
};

// Run the Actor and wait for it to finish
const run = await client.actor("fetch_cat/google-hotels-scraper").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "queries": ["hotels in New York"],
    "checkInDate": "2027-06-15",
    "checkOutDate": "2027-06-16",
}

# Run the Actor and wait for it to finish
run = client.actor("fetch_cat/google-hotels-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "queries": [
    "hotels in New York"
  ],
  "checkInDate": "2027-06-15",
  "checkOutDate": "2027-06-16"
}' |
apify call fetch_cat/google-hotels-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,fetch_cat/google-hotels-scraper"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/sfNgAGm8i397BK4vA/builds/GYW64jzkBWE2tf4uB/openapi.json