Google Hotels Scraper

Google Hotels Scraper

Google Hotels Scraper is a fast, reliable Google Hotels scraping tool that extracts structured hotel data from Google Hotels/Travel pages — including names, prices, ratings, amenities, photos, contact details, and more. Built for marketers, developers, data analysts, and researchers, it solves the pain of manual copy‑paste by delivering a clean hotel dataset for CSV/JSON export. As a Google Hotels API alternative and Google hotel price scraper, it helps you track rates, compare OTAs, and power travel apps at scale.

What data / output can you get?

Below are the exact output fields this Google Hotels data extractor saves to the Apify dataset. Examples show typical values from Google Travel hotel pages.

Data field	Description	Example value
thumbnail	Primary image URL for the hotel	https://lh3.googleusercontent.com/gps-cs-s/…
url	Google Travel hotel entity URL	https://www.google.com/travel/hotels/entity/Ch…
title	Hotel name	Grand Hotel Praha
website	External website/redirect discovered on the page	https://www.booking.com/hotel/…
address	Formatted street/city/country string	Staroměstské nám. 481/22, 110 00 Praha, Czechia
phone	International phone number (if detected)	+420 224 999 999
photos	Array of additional image URLs	["https://lh3.googleusercontent.com/p/…", "https://lh3.googleusercontent.com/gvs/…"]
rating	Google rating (0–5)	4.6
reviews	Count of reviews	1250
prices	Array of price offers with provider, price, and link	[{"provider":"Booking.com","price":150,"link":"https://www.google.com/travel/clk?…"}]
priceRange	Min–max price synthesized from prices[]	150 - 155
stars	Star indicator (derived/fallback from rating/scripts)	4.6
amenities	List of amenity labels parsed from the page	["Free Wi‑Fi","Breakfast","Parking"]
gps	Latitude/longitude object (from page or geocoding fallback)	{"lat":50.087,"lng":14.420}
aboutHotel	Descriptive text snippets from the hotel page	Elegant hotel overlooking Old Town Square…
healthAndSafety	List of health & safety labels when present	["Enhanced cleaning", "Contactless check‑in"]
addressAndContact	Structured contact/check‑in/out details (if found)	{"address":"…","phone":"+420…","checkIn":"From 14:00","checkOut":"Until 11:00"}
searchQuery	The original search term used for this result	Prague hotels

Notes:

• Data exports are available from the Apify dataset as JSON, CSV, or Excel.
• Some fields may be empty if not present on the page (e.g., phone, aboutHotel, healthAndSafety).

Key features

• 🔄 Smart proxy fallback Automatic escalation from no proxy → datacenter → residential if requests are blocked (403/429/503). Starts free and upgrades only when needed.

• 💰 Live multi‑provider pricing capture Extracts price offers from booking providers (e.g., Booking.com, Expedia, Hotels.com) with provider, price, and redirect link — ideal for Google hotel rates scraping and OTA comparisons.

• 🏗️ Parallel fetching with resilient parsing Asynchronous requests and thread‑pool parsing process multiple hotels in batches, balancing speed and stability for city‑wide runs.

• 🧭 Rich hotel metadata Collects ratings, review counts, amenities, photos, contact details, star indicators, descriptive text, health & safety labels, and GPS coordinates.

• 🧾 Clean, structured output Pushes consistent records to Apify datasets for easy export to JSON, CSV, or Excel — perfect for analytics pipelines and dashboards.

• 🌍 Google Hotels/Travel coverage Works across Google Travel hotel entities and search results, making it a practical Google Travel hotels scraper and Google hotel listings scraper.

• 🧰 Developer‑friendly Built on the Apify platform for workflow automation. Combine the dataset with your Google Hotels scraper Python scripts or data pipelines.

• 🧱 Production‑ready reliability Timeouts, retries, and anti‑blocking strategies are built‑in for robust scraping at scale.

How to use Google Hotels Scraper - step by step

1. Create or log in to your Apify account You can start on the free tier to test a few runs.

2. Open the Google Hotels Scraper Launch the actor from your Apify dashboard.

3. Add your input In “searchQuery”, add one or more terms like “Prague hotels”, “Paris center”, or “Manhattan NYC”. This supports bulk scraping.

4. Set dates and guests Use “checkInDate”, “checkOutDate”, “numberOfAdults”, and “numberOfChildren” to target the right stay scenario for price collection. Choose a “currencyCode” for displayed rates.

5. Control volume Set “maxResults” (1–5000) to limit how many hotels are extracted per search.

6. (Optional) Configure proxy Leave the default “proxyConfiguration” to start free. The actor auto‑upgrades to datacenter or residential proxies if it gets blocked.

7. Run the actor Click Start. The actor searches Google Travel, fetches hotel pages (including /location and /details), and pushes structured items to the dataset.

8. Export your data Download results from the dataset in JSON, CSV, or Excel. Use them for rate tracking, market research, and travel app enrichment.

Pro tip: Chain the dataset to your analytics or ETL — it’s a practical Google Hotels API alternative for building automated pipelines.

Use cases

Use case name	Description
Travel agencies – competitor rate tracking	Monitor nightly rates from multiple providers and react to market changes faster using a Google hotel price scraper workflow.
OTAs and comparison engines – price parity checks	Compare Booking.com vs. Expedia vs. Hotels.com offers with structured prices[] and links.
Market research – city and seasonal trends	Analyze price ranges, ratings, and amenities across neighborhoods to quantify demand and positioning.
Travel apps – listings enrichment	Enrich property cards with photos, ratings, geocodes, and descriptions scraped from Google Travel hotel pages.
Revenue management – dynamic pricing inputs	Feed cross‑provider rates and review signals into your pricing models for more informed yield decisions.
Academic research – tourism & accommodation studies	Build reproducible hotel datasets (CSV/JSON) for urban competitiveness, hospitality patterns, and benchmarking.
Mapping & geo analytics – location intelligence	Use gps.lat/lng with addresses and amenities to power geospatial analyses and proximity features.

Why choose Google Hotels Scraper?

This Google Hotels data extractor is engineered for precision, automation, and reliability — ideal when you need a Google Hotels API alternative without complex integrations.

• ✅ Accurate, structured results: Clean JSON with stable fields for analysis-ready datasets.
• 🌍 Global hotel coverage on Google Travel: Works across regions and languages for wide‑ranging research.
• 📈 Scalable runs: Handles bulk searches and batches for thousands of properties.
• 🧰 Developer access: Designed for pipelines and Google Hotels scraper Python integrations via Apify datasets.
• 🛡️ Smart anti‑blocking: Proxy fallback from none → datacenter → residential only when needed.
• 💵 Cost‑effective: Start free, pay for proxies only if the run requires it.
• 🔁 Better than brittle browser extensions: Server‑side scraping with timeouts, retries, and structured parsing.

In short, it’s a production‑ready Google hotel search results scraper that balances accuracy, scale, and resilience.

Is it legal / ethical to use Google Hotels Scraper?

Yes — when done responsibly. This actor extracts publicly available information from Google Hotels/Travel pages and does not access private or authenticated content.

Guidelines for compliant use:

• Only collect public data and avoid sensitive information.
• Respect platform terms and responsible use; don’t overload servers.
• Use results for analysis, research, or fair competition purposes.
• Verify compliance with your legal team for your specific jurisdiction and use case.

Input parameters & output format

Example input JSON

{
  "searchQuery": [
    "Prague hotels",
    "Paris city center accommodation"
  ],
  "checkInDate": "2026-12-01",
  "checkOutDate": "2026-12-05",
  "numberOfAdults": 2,
  "numberOfChildren": 0,
  "currencyCode": "EUR",
  "maxResults": 10,
  "proxyConfiguration": {
    "useApifyProxy": false
    }
}

Parameters

Field	Type	Description	Default	Required
searchQuery	array	Type cities, areas, or keywords — e.g. “Prague hotels”, “Paris center”, “Manhattan NYC”. Add multiple for bulk scraping!	–	Yes
maxResults	integer	Pick 1–5000 hotels per search. Tip: start with 10–20 to test, then scale up.	10	No
checkInDate	string	Your arrival date (YYYY‑MM‑DD). Prices depend on this!	2026-12-01	No
checkOutDate	string	Your departure date (YYYY‑MM‑DD). Must be after check‑in.	2026-12-05	No
numberOfAdults	integer	How many adults? (1–10) Affects room options & pricing.	2	No
numberOfChildren	integer	How many children? (0–10) Optional — affects availability.	0	No
currencyCode	string	3‑letter code: EUR, USD, GBP, BRL, TRY, etc. Prices shown in this currency.	EUR	No
proxyConfiguration	object	Leave default to start free. Actor auto‑upgrades to paid proxy only if needed.	{"useApifyProxy": false}	No

Notes:

• The actor processes each element in “searchQuery” independently and appends that term to the “searchQuery” field in each output item.
• If a field isn’t available on the page, it may be returned as an empty string/object/array.

Example output JSON

[
  {
    "thumbnail": "https://lh3.googleusercontent.com/gps-cs-s/AA...",
    "url": "https://www.google.com/travel/hotels/entity/ChIJAbC123XYZabc",
    "title": "Grand Hotel Praha",
    "website": "https://www.booking.com/hotel/cz/grand-praha.html",
    "address": "Staroměstské nám. 481/22, 110 00 Praha, Czechia",
    "phone": "+420 224 999 999",
    "photos": [
      "https://lh3.googleusercontent.com/p/AF1QipOphoto1",
      "https://lh3.googleusercontent.com/gvs/AF1QipOphoto2"
    ],
    "rating": 4.6,
    "reviews": 1250,
    "prices": [
      {
        "provider": "Booking.com",
        "price": 150,
        "link": "https://www.google.com/travel/clk?..."
      },
      {
        "provider": "Expedia",
        "price": 155,
        "link": "https://www.google.com/travel/clk?..."
      }
    ],
    "priceRange": "150 - 155",
    "stars": 4.6,
    "amenities": ["Free Wi‑Fi", "Breakfast", "Parking"],
    "gps": {
      "lat": 50.087,
      "lng": 14.420
    },
    "aboutHotel": "Elegant hotel overlooking Old Town Square with classic rooms and city views.",
    "healthAndSafety": ["Enhanced cleaning", "Contactless check‑in"],
    "addressAndContact": {
      "address": "Staroměstské nám. 481/22, 110 00 Praha, Czechia",
      "phone": "+420 224 999 999",
      "checkIn": "From 14:00",
      "checkOut": "Until 11:00"
    },
    "searchQuery": "Prague hotels"
  }
]

FAQ

Is the Google Hotels Scraper a Google Hotels API alternative?

Yes. It extracts live hotel data from Google Travel pages without requiring API keys, making it a practical Google Hotels API alternative for analysts and app builders.

Can it scrape Google hotel prices from Booking.com and Expedia?

Yes. The prices[] array captures provider names, numeric prices, and provider redirect links discovered on the page, enabling Google hotel rates scraping and OTA comparison.

How many hotels can I scrape per search?

Up to 5,000 per search via the “maxResults” parameter. You can submit multiple queries in the “searchQuery” array to scale further.

Do I need to configure proxies?

Not necessarily. The scraper starts without a proxy and automatically upgrades to datacenter or residential proxies only if requests are blocked.

Can I export to CSV or Excel?

Yes. Results are saved to an Apify dataset, which you can export as JSON, CSV, or Excel for analysis and reporting.

What data fields are included in the output?

Each record includes thumbnail, url, title, website, address, phone, photos[], rating, reviews, prices[], priceRange, stars, amenities[], gps{lat,lng}, aboutHotel, healthAndSafety[], addressAndContact, and searchQuery.

Does this work worldwide?

Yes. It targets Google Hotels/Travel pages and extracts publicly available information wherever those pages are accessible.

Can developers integrate this with Python or pipelines?

Yes. You can retrieve the Apify dataset and process it with your Google Hotels scraper Python scripts or connect it to ETL workflows.

Closing CTA / Final thoughts

Google Hotels Scraper is built for fast, structured hotel data extraction from Google Hotels/Travel. It delivers live prices, rich metadata, and geocodes in clean JSON, ready for CSV/Excel exports and downstream analytics. Whether you’re a marketer, developer, analyst, or researcher, this Google hotel data scraping approach helps you monitor rates, benchmark markets, and power travel apps reliably. Automate your pipeline with Apify datasets and your own scripts — start extracting smarter hotel insights today.