# google-hotels [Health: Active]

**Category:** 💻 Developer Tools  
**Repository:** https://github.com/johnisanerd/Apify-Google-Hotels-API  
**GitHub Stars:** 3  
**Views:** 0  
**Installs:** 0  
**Upvotes:** 0  
**Directory Page:** https://allmcps.com/mcp/google-hotels

## Description
Google Hotels prices, ratings, reviews, and photos via an Apify Actor, hosted MCP.

## Claude Desktop Quick Installation
Install path detected from listing signals. Uses `npx` (confidence: high):

```json
"mcpServers": {
  "google-hotels": {
    "command": "npx",
    "args": ["-y","mcp-remote","https://mcp.apify.com/?tools=actors,docs,johnvc/google-hotels-search-scraper"]
  }
}
```

## Documentation & README

# 🏨 Google Hotels API: Hotel Prices and Property Data in Clean JSON

> The most efficient, reliable, and developer-friendly way to use the Google Hotels API.

**Actor page:** [apify.com/johnvc/google-hotels-search-scraper](https://apify.com/johnvc/google-hotels-search-scraper?fpr=9n7kx3)
**Input schema:** [apify.com/johnvc/google-hotels-search-scraper/input-schema](https://apify.com/johnvc/google-hotels-search-scraper/input-schema?fpr=9n7kx3)

The Google Hotels API searches Google Hotels and returns clean, structured JSON: hotel and vacation-rental listings with nightly and total prices, deals, star class and property type, ratings and review counts, amenities, images, descriptions, addresses and GPS coordinates, and check-in/check-out times. Search by location query or fetch one property by token. Supports advanced filters, vacation rentals, localization (country, language, currency), and multi-page pagination.

**New:** three additional modes via the `search_type` input - **autocomplete** (destination and hotel name suggestions with property tokens), **photos** (a property's full photo gallery), and **reviews** (paginated guest reviews with ratings, text, and sources). Each has its own runnable example script in this repo.

## Video Walkthrough

[![Watch the walkthrough](https://img.youtube.com/vi/jREWahDGhJM/maxresdefault.jpg)](https://www.youtube.com/watch?v=jREWahDGhJM)

## Quick Start

### Prerequisites
- Python 3.11 or higher
- An Apify account and API key ([get a free key here](https://apify.com?fpr=9n7kx3))

1. **Clone the repository**
   ```bash
   git clone https://github.com/johnisanerd/Apify-Google-Hotels-API.git
   cd Apify-Google-Hotels-API
   ```

2. **Install dependencies with UV**
   ```bash
   # Install UV if you do not have it:
   curl -LsSf https://astral.sh/uv/install.sh | sh

   # Install project dependencies:
   uv sync
   ```

3. **Configure your API key**
   ```bash
   cp .env.example .env
   # Edit .env and add your Apify API key
   # Get your free API key at: https://apify.com?fpr=9n7kx3
   ```

4. **Run the examples**
   ```bash
   uv run python google-hotels-api.py            # hotel search (the classic quick start)
   uv run python google-hotels-autocomplete.py   # destination + hotel name suggestions
   uv run python google-hotels-photos.py         # full photo gallery for one hotel
   uv run python google-hotels-reviews.py        # guest reviews for one hotel
   ```

### Alternative: set the API key directly
```bash
export APIFY_API_TOKEN="your_api_key_here"
uv run python google-hotels-api.py
```

## Why Use This Google Hotels API?

**Rich property data.** Each result includes nightly and total prices, deals, ratings and review counts, amenities, images, descriptions, GPS coordinates, and check-in/check-out times, so you can compare properties directly.

**Four retrieval modes.** Search by a location query, fetch full details for one property by `property_token`, resolve partial queries into destinations and hotels with autocomplete, or pull a property's complete photo gallery and guest reviews.

**Powerful filters.** Constrain by price range, star class, guest rating, amenities, and property type, and switch to vacation rentals with bedroom and bathroom filters.

**Predictable, pay-per-use pricing.** Per run plus per page processed, with no subscription. You control cost with the page limit.

**Easy to automate.** Call it from Python in a few lines, or load it as an MCP tool so assistants like Claude and Cursor can search hotels for you on demand.

## Features

### Core Capabilities
- **Location-query search** or single-property lookup by token
- **Autocomplete suggestions** for partial queries, with property tokens for chaining
- **Photo galleries** with full-size and thumbnail URLs, organized by section
- **Guest reviews** with ratings, text, dates, sources, and sort options
- **Localization** by country, language, and currency
- **Advanced filters**: price range, star class, guest rating, amenities, property type
- **Vacation-rental mode** with bedroom and bathroom filters
- **Multi-page pagination** with a configurable page cap

### Data Quality
- **Nightly and total rates** with pre-tax figures and deal flags
- **Ratings, reviews, amenities, and images** per property
- **GPS coordinates and addresses** for mapping
- **Consistent JSON** shape across every query
- **Per-page dataset items** for accurate billing

## Usage Examples

### Basic search
```json
{
  "q": "hotels in Paris",
  "check_in_date": "2026-06-29",
  "check_out_date": "2026-07-01",
  "adults": 2,
  "max_pages": 1
}
```

### Filtered search
```json
{
  "q": "hotels in New York",
  "check_in_date": "2026-06-29",
  "check_out_date": "2026-07-01",
  "adults": 2,
  "min_price": "100",
  "max_price": "300",
  "hotel_class": "4,5",
  "currency": "USD",
  "max_pages": 1
}
```

### Vacation rentals
```json
{
  "q": "vacation rentals in Miami",
  "check_in_date": "2026-06-29",
  "check_out_date": "2026-07-03",
  "adults": 4,
  "vacation_rentals": true,
  "bedrooms": 2,
  "bathrooms": 2,
  "max_pages": 1
}
```

### Autocomplete suggestions (see `google-hotels-autocomplete.py`)
```json
{
  "search_type": "autocomplete",
  "q": "hotels in par",
  "gl": "us",
  "hl": "en"
}
```
Returns one dataset item per suggestion. Suggestions for specific hotels include a `property_token` you can chain into photos, reviews, or property details.

### Property photos (see `google-hotels-photos.py`)
```json
{
  "search_type": "photos",
  "property_token": "ChUIksaK9_ij5_kYGgkvbS8wNjJ3YzIQAQ",
  "max_pages": 1
}
```
Returns one dataset item per photo (typically 100-200 per property) with `photo_url`, `thumbnail_url`, dimensions, gallery section, and source.

### Guest reviews (see `google-hotels-reviews.py`)
```json
{
  "search_type": "reviews",
  "property_token": "ChUIksaK9_ij5_kYGgkvbS8wNjJ3YzIQAQ",
  "reviews_sort_by": "2",
  "max_pages": 2
}
```
Returns one dataset item per review with rating, text, date, source platform, reviewer details, and the hotel's response when one exists. Sort with `reviews_sort_by`: `"1"` most helpful, `"2"` most recent, `"3"` highest score, `"4"` lowest score.

## Input Parameters

Either `q` (search query) or `property_token` is required.

| Parameter | Type | Required | Default | Description |
|-----------|------|----------|---------|-------------|
| `search_type` | `string` | No | `search` | `search`, `autocomplete`, `photos`, or `reviews`. |
| `q` | `string` | Yes* | - | Search query, e.g. `hotels in Paris`. Required for `search` (unless `property_token` is set) and `autocomplete`. |
| `property_token` | `string` | Yes* | - | Token for a single property (from a prior result or autocomplete). Required for `photos` and `reviews`; returns detailed property info in `search` mode. |
| `gl` | `string` | No | `us` | Country code (ISO 3166-1 alpha-2). |
| `hl` | `string` | No | `en` | Language code (ISO 639-1). |
| `currency` | `string` | No | (by country) | Currency code (ISO 4217), e.g. `USD`, `EUR`. |
| `check_in_date` | `string` | No | - | Check-in date, `YYYY-MM-DD` (recommended with a query). |
| `check_out_date` | `string` | No | - | Check-out date, `YYYY-MM-DD`. |
| `adults` | `integer` | No | `2` | Number of adult guests. |
| `children` | `integer` | No | `0` | Number of child guests (`children_ages` required if > 0). |
| `min_price` / `max_price` | `string` | No | `0.00` | Price range filter in the chosen currency. |
| `stars` | `string` | No | - | Comma-separated star ratings, e.g. `4,5`. |
| `hotel_class` | `string` | No | - | Comma-separated class levels `2`-`5`. |
| `guest_rating` | `string` | No | `0.0` | Minimum guest rating (0.0 to 5.0). |
| `vacation_rentals` | `boolean` | No | `false` | Include vacation rentals (enables `bedrooms`/`bathrooms`). |
| `reviews_sort_by` | `string` | No | `1` | Reviews order: `1` most helpful, `2` most recent, `3` highest score, `4` lowest score. |
| `reviews_category_token` | `string` | No | - | Filter reviews by a category token from a property's reviews breakdown. |
| `max_pages` | `integer` | No | `1` | Maximum pages to fetch (`0` = no limit). Applies to search, photos, and reviews. |
| `output_file` | `string` | No | - | Optional filename to save results. |

Additional filters (`amenities`, `property_type`, `rental_type`) accept Google's integer IDs; see the Actor page for the full reference.

## Output Format

A real result for `hotels in Paris` (one item per page; the `properties` array is trimmed to one entry for readability).

```json
{
  "search_parameters": {
    "q": "hotels in Paris",
    "gl": "us",
    "hl": "en",
    "currency": "USD",
    "check_in_date": "2026-06-29",
    "check_out_date": "2026-07-01",
    "adults": 2,
    "max_pages": 1
  },
  "search_metadata": {
    "total_results": 15000,
    "properties_count": 20,
    "ads_count": 0,
    "pages_processed": 1,
    "max_pages_set": 1,
    "pagination_limit_reached": true
  },
  "page_number": 1,
  "properties": [
    {
      "type": "hotel",
      "name": "The Originals Boutique, Hôtel Maison Montmartre, Paris",
      "description": "Hip hotel featuring a sophisticated restaurant & a cool rooftop eatery/bar with a terrace.",
      "link": "https://www.hotelmaisonmontmartre.com/",
      "property_token": "ChoI_uTZsvz1i6-bARoNL2cvMTFmZHB6eDEwMxAB",
      "gps_coordinates": { "latitude": 48.900537, "longitude": 2.336269 },
      "check_in_time": "3:00 PM",
      "check_out_time": "12:00 PM",
      "rate_per_night": { "lowest": "$144", "extracted_lowest": 144, "before_taxes_fees": "$120" },
      "total_rate": { "lowest": "$287", "extracted_lowest": 287 }
    }
  ],
  "ads": [],
  "filters": [],
  "refine_by": []
}
```

---

## n8n integration

Available as an n8n community node, **[n8n-nodes-google-hotels-api](https://www.npmjs.com/package/n8n-nodes-google-hotels-api)**. In n8n: Settings, Community Nodes, install `n8n-nodes-google-hotels-api`, then use it in any workflow (it also works as an AI Agent tool). Version 0.2.0 adds Get Autocomplete Suggestions, Get Photos, and Get Reviews operations.

## Use as an MCP tool

You can load the Google Hotels API as an MCP tool so assistants call it for you. The MCP server URL preloads just this one Actor:

```
https://mcp.apify.com/?tools=actors,docs,johnvc/google-hotels-search-scraper
```

Authenticate with OAuth in the browser when offered, or with your Apify API token (the same `APIFY_API_TOKEN` used by the Python example). Get a token at https://console.apify.com/settings/integrations and a free Apify account at https://apify.com?fpr=9n7kx3 .

## Install in Claude Cowork Desktop

![Install in Claude Cowork Desktop](https://raw.githubusercontent.com/johnisanerd/ApifyPublicData/main/assets/guides/install_mcp_into_claude_desktop.png)

Cowork is the desktop app's automation mode. To give it the Google Hotels API as a tool, add the Apify MCP server as a connector.

1. Open the Claude desktop app and go to **Settings → Connectors** (or **Settings → Developer → Edit Config** to edit `claude_desktop_config.json` directly).
   - macOS: `~/Library/Application Support/Claude/claude_desktop_config.json`
   - Windows: `%APPDATA%\Claude\claude_desktop_config.json`
2. Add the Apify MCP server, preloaded with only this Actor:

```json
{
  "mcpServers": {
    "apify": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-remote",
        "https://mcp.apify.com/?tools=actors,docs,johnvc/google-hotels-search-scraper"
      ]
    }
  }
}
```

3. Restart the app. When Cowork first calls the tool, complete the OAuth prompt in your browser, or add your Apify API token in the connector settings to skip OAuth.
4. In a Cowork chat, confirm the tool is available and ask it to run the Google Hotels API.

Download the desktop app and start a free trial: https://claude.ai/referral/uIlpa7nPLg
More help: https://docs.apify.com/platform/integrations/claude-desktop

## Install in Claude Code

![Install in Claude Code](https://raw.githubusercontent.com/johnisanerd/ApifyPublicData/main/assets/guides/install_mcp_into_claude_code.png)

Claude Code is the command-line tool. Add the Actor's MCP server with one command:

```bash
claude mcp add --transport http apify \
  "https://mcp.apify.com/?tools=actors,docs,johnvc/google-hotels-search-scraper"
```

To use a token instead of browser OAuth:

```bash
claude mcp add --transport http apify \
  "https://mcp.apify.com/?tools=actors,docs,johnvc/google-hotels-search-scraper" \
  --header "Authorization: Bearer YOUR_APIFY_TOKEN"
```

Then verify with `claude mcp list`, or run `/mcp` inside a session. Ask Claude Code to call the Google Hotels API.

Try Claude Code free: https://claude.ai/referral/uIlpa7nPLg
Claude Code MCP docs: https://code.claude.com/docs/en/mcp

## Install in Claude (website)

![Install in Claude (website)](https://raw.githubusercontent.com/johnisanerd/ApifyPublicData/main/assets/guides/install_mcp_into_claude_ai.png)

On claude.ai you add Apify as a connector, then enable just this Actor's tool.

1. Go to **Settings → Connectors → Browse connectors** and search for **Apify MCP server**. Install it (enable or update if prompted).
2. When connecting, authenticate with your Apify API token, and enable the tool `johnvc/google-hotels-search-scraper`.
3. In any chat, open **+ → Connectors** and turn on **Apify**.
4. Alternatively, choose **Add custom connector** and paste the full MCP URL `https://mcp.apify.com/?tools=actors,docs,johnvc/google-hotels-search-scraper`, using OAuth when prompted.
5. Ask Claude to run the Google Hotels API.

Open Claude on the web: https://claude.ai/referral/uIlpa7nPLg

## Install in Cursor

![Install in Cursor](https://raw.githubusercontent.com/johnisanerd/ApifyPublicData/main/assets/guides/install_mcp_into_cursor.png)

Cursor reads MCP servers from a project file at `.cursor/mcp.json`.

1. In your project, create `.cursor/mcp.json`:

```json
{
  "mcpServers": {
    "apify": {
      "url": "https://mcp.apify.com/?tools=actors,docs,johnvc/google-hotels-search-scraper"
    }
  }
}
```

2. If you prefer token auth over browser OAuth, add a header:

```json
{
  "mcpServers": {
    "apify": {
      "url": "https://mcp.apify.com/?tools=actors,docs,johnvc/google-hotels-search-scraper",
      "headers": { "Authorization": "Bearer YOUR_APIFY_TOKEN" }
    }
  }
}
```

3. Open **Cursor → Settings → MCP** and confirm the **apify** server is connected (green dot).
4. In Composer or Chat, ask Cursor to call the Google Hotels API.

New to Cursor? Get it here: https://cursor.com/referral?code=XQP4VBLI3NNX

## Install in ChatGPT

![Install in ChatGPT](https://raw.githubusercontent.com/johnisanerd/ApifyPublicData/main/assets/guides/install_mcp_into_ChatGPT.png)

ChatGPT connects to the Apify MCP server through Developer mode (available on ChatGPT Pro, Plus, Business, Enterprise, and Education plans).

1. Click your profile icon, then go to **Settings > Apps**. If you do not see a **Create app** button, open **Advanced settings** and enable **Developer mode**.
2. Click **Create app** and fill out the form:
   - **Name:** Apify
   - **MCP Server URL:** `https://mcp.apify.com/?tools=actors,docs,johnvc/google-hotels-search-scraper`
   - **Authentication:** OAuth
3. Click **Create** and authorize the connection with Apify.
4. To use the app in a conversation, click **+** in the chat, choose **Developer mode**, and select **Apify**.

More help: https://docs.apify.com/platform/integrations/mcp

---

[**Made with care**](https://apify.com/johnvc?fpr=9n7kx3)

*Use the Google Hotels API to power price monitoring, travel apps, and market research with reliable, structured results.*

Last Updated: 2026.09.08