Google Hotels

🏨 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 Input schema: apify.com/johnvc/google-hotels-search-scraper/input-schema

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

Quick Start

Prerequisites

• Python 3.11 or higher
• An Apify account and API key (get a free key here)

1. Clone the repository

   git clone https://github.com/johnisanerd/Apify-Google-Hotels-API.git

cd Apify-Google-Hotels-API

1. Install dependencies with UV

   # Install UV if you do not have it:

curl -LsSf https://astral.sh/uv/install.sh | sh

Install project dependencies:

uv sync

1. Configure your API key

   cp .env.example .env

Edit .env and add your Apify API key

Get your free API key at: https://apify.com?fpr=9n7kx3

1. Run the examples

   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

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

{

"q": "hotels in Paris", "check_in_date": "2026-06-29", "check_out_date": "2026-07-01", "adults": 2, "max_pages": 1 }

Filtered search

{

"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

{

"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)

{

"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)

{

"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)

{

"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.

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).

{

"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": [] }

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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

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

1. Add the Apify MCP server, preloaded with only this Actor:

{

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

1. 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.
2. 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:/