Google Hotels Scraper API

Scrape Google Hotels and collect data such as hotel ID, hotel name, address, phone number, star classification, rating, review count, amenities, room options, pricing, and availability.

5K free records/month · Credit card not required

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#1

Ranked (by AIMultiple)

99.2%

Avg. success rate

100M+

Requests weekly

400M+

Proxy IPs built in

GDPR & CCPA

Compliant

Google Hotels Scraper API Pricing

Only pay for what’s successfully delivered. No hidden fees, no charges for failed deliveries.

Free Tier
5K
records
Start free
  • 5K records per month
  • No credit card required
  • Expert support
Pay as you go
$1.5/1K record
Start free
  • Pay only for success
  • Set monthly spend limits
  • Unlimited concurrency
  • Expert support
Scale
$499 /month
Slide to adjust plan Start free
  • 384,000 records included
  • $1.3/1K additional records
  • Unlimited concurrency
  • Cancel anytime
  • Expert support
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How it works

From zero to Google Hotels data in 3 steps

No proxies to configure, no infrastructure to manage. Pick, call, and receive.
  1. Pick a scraper

    Choose from the Google Hotels scrapers above or create your own with AI in minutes.

  2. Call the API

    One API call with up to 5,000 target URLs. Python and Node.js SDKs, CLI, MCP server, or any HTTP client.

  3. Get structured data

    Receive clean, parsed [current_scrper_name] data in JSON, NDJSON, or CSV. Delivered via API, webhook, or cloud storage.

Scraper API Call
curl -H "Authorization: Bearer API_TOKEN" -H "Content-Type: application/json" -d '[{"url":"https://www.google.com/travel/hotels/entity/ChkQldK74LTMwsBlGg0vZy8xMXZ6MmY1NnJ3EAI?q=london\u0026gsas=1\u0026ts=CAESCgoCCAMKAggDEAAaWwo9EjkKCC9tLzA0anBsMiUweDQ3ZDhhMDBiYWYyMWRlNzU6MHg1Mjk2M2E1YWRkZDUyYTk5OgZMb25kb24aABIaEhQKBwjpDxAMGA4SBwjpDxAMGB8YETICCAEqCQoFOgNJTFMaAA\u0026ved=0CAAQ5JsGahcKEwjIqoXfzsSQAxUAAAAAHQAAAAAQAg\u0026qs=CAE4DUgA\u0026ap=KigKEglZQpoQ_aZJQBHwwTqOv1TWvxISCQYb2-vH1UlAESB8iuMAAcI_MAA\u0026utm_campaign=sharing\u0026utm_medium=link\u0026utm_source=htls"}]' "https://api.brightdata.com/datasets/v3/trigger?dataset_id=gd_mg3gjfmg12tc2n5d4d&format=json&uncompressed_webhook=true"
Response payload
[
  {
    "db_source": "1788856458058",
    "timestamp": "2026-09-08",
    "url": "https:\/\/www.google.com\/travel\/hotels\/entity\/ChkQ_t_V6an1t9AMGg0vZy8xMXo0Y21rcGo5EAI?hl=en\u0026ts=CAEaPQofEhsKDS9nLzExcHdwX2p...",
    "hotel_id": "ChkQ_t_V6an1t9AMGg0vZy8xMXo0Y21rcGo5EAI",
    "hotel_name": "Monratino The snow roost- 10 mins walking distance from mall road- Attached balcony with Kanchenjunga Mountain View-Kitc...",
    "rating": null,
    "review_count": null,
    "star_classification": null
  },
  {
    "db_source": "1788672971302",
    "timestamp": "2026-09-06",
    "url": "https:\/\/www.google.com\/travel\/hotels\/entity\/ChoQkoeqgM6D2rTtARoNL2cvMTF6Nm5qeTR2aBAC?hl=en\u0026ts=CAESCgoCCAMKAggDEAAaWwo9Ej...",
    "hotel_id": "ChoQkoeqgM6D2rTtARoNL2cvMTF6Nm5qeTR2aBAC",
    "hotel_name": "London Bridge 20 minutes away",
    "rating": null,
    "review_count": null,
    "star_classification": null
  },
  {
    "db_source": "1788672971302",
    "timestamp": "2026-09-06",
    "url": "https:\/\/www.google.com\/travel\/hotels\/entity\/ChkQ8Y6Ktpmvkqt-Gg0vZy8xMW5iel95M3c4EAI?hl=en\u0026ts=CAESCgoCCAMKAggDEAAaWwo9Ejk...",
    "hotel_id": "ChkQ8Y6Ktpmvkqt-Gg0vZy8xMW5iel95M3c4EAI",
    "hotel_name": "Greenstreet Apartment in London",
    "rating": null,
    "review_count": null,
    "star_classification": null
  },
  {
    "db_source": "1788856458058",
    "timestamp": "2026-09-08",
    "url": "https:\/\/www.google.com\/travel\/hotels\/entity\/ChoQm7XPo96n-YjKARoNL2cvMTF6ZDcxbjBzehAC?hl=en\u0026ts=CAEaPQofEhsKDS9nLzExcHdwX2...",
    "hotel_id": "ChoQm7XPo96n-YjKARoNL2cvMTF6ZDcxbjBzehAC",
    "hotel_name": "MERRY VISTA",
    "rating": null,
    "review_count": null,
    "star_classification": null
  },
  {
    "db_source": "1788856458058",
    "timestamp": "2026-09-08",
    "url": "https:\/\/www.google.com\/travel\/hotels\/entity\/ChkQ0J7NvKrTua91Gg0vZy8xMXo5bjFrMzFuEAI?hl=en\u0026ts=CAEaPQofEhsKDS9nLzExcHdwX2p...",
    "hotel_id": "ChkQ0J7NvKrTua91Gg0vZy8xMXo5bjFrMzFuEAI",
    "hotel_name": "sunset nest Darjeeling",
    "rating": null,
    "review_count": null,
    "star_classification": null
  }
]
Start free

Everything you need, built in

You pay for results. Proxies, rendering, concurrency, and delivery are always included, on every plan.

Go straight to the source

Every request runs on Bright Data infrastructure. 400M+ IPs, unlocking and browsers are built in.

Scale to millions of pages instantly

Send unlimited concurrent requests - no infrastructure to manage, no configs to change.

Scrapers auto-fix when sites change

AI-powered self-healing detects site changes and repairs scrapers. Your pipelines keep running.

Thousands of verified scrapers

Every scraper is built, tested, and maintained by Bright Data. No community guesswork.

Pay per result, nothing extra

One price per record . Proxies, retries, rendering, unblocking - all included, no surprises.

Compliant and fully supported

GDPR & CCPA compliant. 24/7 human support on every plan, including free.

Explore more Google scrapers

Google Hotels data scraping use cases

Real-time Google Hotels intelligence for your business.

Hotel rate monitoring

Pricing
Availability
Hotels
Scrape nightly rates and availability across a set of properties to follow how hotels price by date. Collect it repeatedly to catch rate changes and see how far in advance inventory tightens.

Property and amenity research

Amenities
Star rating
Hotels
Scrape star classification, amenities and property details to compare hotels on what they actually offer. Collect it across a city to map the supply by tier and find gaps in a market.

Review and reputation analysis

Reviews
Ratings
Sentiment
Scrape rating and review count across properties to see how guests judge them. Track scores over time to spot properties slipping and to benchmark your own against direct neighbours.

Competitive market benchmarking

Pricing
Ratings
Locations
Scrape price alongside rating and location to understand what a market charges for a given standard. Collect it by area to position your own rates against comparable properties nearby.

Leading the way in ethical web data collection

Only publicly available data. ISO 27001 certified, SOC 2 controls, GDPR & CCPA compliant. Every use case is reviewed by a dedicated Compliance & Ethics team, backed by a documented Know Your Customer process and Acceptable Use Policy.



Bright Data is used by world's top brands

Google Hotels Scraper API FAQs

The Google Hotels Scraper API is a powerful tool designed to automate data extraction from the Google Hotels website, allowing users to efficiently gather and process large volumes of data for various use cases.

The Google Hotels Scraper API works by sending automated requests to targeted website, extracting the necessary data points, and delivering them in a structured format. This process ensures accurate and quick data collection.

Yes, the Google Hotels Scraper API is designed to comply with data protection regulations, including GDPR and CCPA. It ensures that all data collection activities are performed ethically and legally.

Absolutely! The Google Hotels Scraper API is ideal for competitive analysis, allowing you to gather insights into your competitors' activities, trends, and strategies.

The Google Hotels Scraper API offers flawless integration with various platforms and tools. You can use it with your existing data pipelines, CRM systems, or analytics tools to improve your data processing capabilities.

Yes! Every new Bright Data account automatically includes 5,000 free credits per month (approximately $7.50 in value) — no credit card required, no promo code, no commitment. These credits apply to Scrapers (including the Google Hotels Scraper API), as well as the Unlocker API and SERP API. Credits renew on the 1st of each month, and you can start making API calls immediately after signing up.

When your 5,000 free monthly credits are exhausted, behavior depends on your account balance. If you have pre-deposited funds, usage continues seamlessly at standard PAYG rates with no interruption. If you have no deposited funds, requests will return an error until you add funds or until your credits renew on the 1st of the following month. Note that unused free credits do not roll over.

To avoid interruptions, you can enable auto-recharge in your billing settings at brightdata.com/cp/billing/settings.

There are no specific usage limits for the Google Hotels Scraper API, offering you the flexibility to scale as needed.

Yes, we offer dedicated support for the Google Hotels Scraper API. Our support team is available 24/7 to assist you with any questions or issues you may encounter while using the API.

Amazon S3, Google Cloud Storage, Google PubSub, Microsoft Azure Storage, Snowflake, and SFTP.

JSON, NDJSON, JSON lines, CSV, and .gz files (compressed).

The easiest way to scrape Google Hotels data at scale