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

Google Hotels Scraper SD - Google Hotels Scraper is a hotel price tool that extracts Google Hotels listings for any destination and dates: nightly and total prices, star class, rating, reviews, deals, location, photos and every booking site's rate with free-cancellation info. No login.

- **URL**: https://apify.com/neuro-scraper/google-hotels-scraper.md
- **Developed by:** [Neuro Scraper](https://apify.com/neuro-scraper) (community)
- **Categories:** Travel, E-commerce, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.49 / 1,000 results

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.
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

./README.md

# Actor input Schema

## `searchQueries` (type: `array`):

What you would type into Google Hotels, one per line, e.g. "hotels in New York", "Paris", "resorts in Bali". Google resolves each search to a place; every search is paged on its own.

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

YYYY-MM-DD (e.g. 2026-12-01) or +N = N days from today (e.g. +30, handy for schedules).

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

YYYY-MM-DD, or +N = N nights after the check-in date (e.g. +2). Empty = 2 nights. Google Hotels allows stays of up to 30 nights.

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

Number of adult guests (1-12). Prices are for this party.

## `children` (type: `integer`):

Number of children (0-8). Give their ages in 'Children ages'; a missing age counts as 8 years.

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

Age of each child (0-17), one per line, e.g. 5 and 9. The number of ages sets the number of children when it is larger.

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

Currency of every price (Google converts). Applied to page 1 too, whatever the proxy country.

## `countryCode` (type: `string`):

Google country code for the search, e.g. us, gb, de, in. Changes which booking sites are shown.

## `languageCode` (type: `string`):

Google interface language, e.g. en, fr, de, es. Changes hotel descriptions and labels.

## `maxResults` (type: `integer`):

Hotels per destination. Google pages 18 at a time with its own next-page token; the run follows it until this number or Google's last page.

## `sortBy` (type: `string`):

Google Hotels' own sort order.

## `minPrice` (type: `integer`):

Only hotels from this nightly price (in the chosen currency). 0 = no minimum.

## `maxPrice` (type: `integer`):

Only hotels up to this nightly price (in the chosen currency). 0 = no maximum.

## `minRating` (type: `string`):

Minimum Google guest rating.

## `hotelClass` (type: `array`):

Star classes to keep, e.g. 4 and 5. Empty = all.

## `amenities` (type: `array`):

Hotels that have all of these (Google's own Amenities filter).

## `propertyTypes` (type: `array`):

Google Hotels' property-type filter. Empty = all.

## `freeCancellation` (type: `boolean`):

Only hotels with a free-cancellation rate (Google's Offers filter).

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

One extra request per hotel: every booking source's nightly and total rate (official site flagged), free-cancellation deadline, booking link, plus address, phone, website, Google place id and external ratings.

## `maxOffersPerHotel` (type: `integer`):

Keep at most this many booking-source rates in each hotel's offers list (Google's own order). 0 = all.

## `sweepDays` (type: `integer`):

Repeat each search for the next N check-in dates with the same length of stay (e.g. 6 = a week of prices). Each stay is paged up to 'Max hotels per search'. 0 = only the given dates.

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

Residential proxy recommended. The currency input sets the prices whatever the proxy country.

## Actor input object example

```json
{
  "searchQueries": [
    "hotels in New York"
  ],
  "checkInDate": "+30",
  "checkOutDate": "+2",
  "adults": 2,
  "children": 0,
  "childrenAges": [],
  "currency": "USD",
  "countryCode": "us",
  "languageCode": "en",
  "maxResults": 20,
  "sortBy": "relevance",
  "minPrice": 0,
  "maxPrice": 0,
  "minRating": "any",
  "hotelClass": [],
  "amenities": [],
  "propertyTypes": [],
  "freeCancellation": false,
  "includeOffers": true,
  "maxOffersPerHotel": 0,
  "sweepDays": 0,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ],
    "apifyProxyCountry": "US"
  }
}
```

# 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 = {
    "searchQueries": [
        "hotels in New York"
    ],
    "checkInDate": "+30",
    "checkOutDate": "+2",
    "adults": 2,
    "maxResults": 20,
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": [
            "RESIDENTIAL"
        ],
        "apifyProxyCountry": "US"
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("neuro-scraper/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 = {
    "searchQueries": ["hotels in New York"],
    "checkInDate": "+30",
    "checkOutDate": "+2",
    "adults": 2,
    "maxResults": 20,
    "proxyConfiguration": {
        "useApifyProxy": True,
        "apifyProxyGroups": ["RESIDENTIAL"],
        "apifyProxyCountry": "US",
    },
}

# Run the Actor and wait for it to finish
run = client.actor("neuro-scraper/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 '{
  "searchQueries": [
    "hotels in New York"
  ],
  "checkInDate": "+30",
  "checkOutDate": "+2",
  "adults": 2,
  "maxResults": 20,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ],
    "apifyProxyCountry": "US"
  }
}' |
apify call neuro-scraper/google-hotels-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,neuro-scraper/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/SaT4XMWote10gt1FJ/builds/fVnBg2sjMIHS3H4tM/openapi.json