Google Hotels Scraper

Google Hotels Scraper

Google Hotels Scraper is a fast, structured Google Hotels search results scraper that extracts hotel listings from Google Travel. It helps you scrape Google Hotels data such as names, live prices, ratings, reviews, amenities, locations, and booking links — ideal for marketers, developers, data analysts, and researchers. Use this Google Hotels scraping tool to extract hotel data from Google at scale for price monitoring, market analysis, and building rich travel datasets.

What data / output can you get?

Below are the exact JSON fields this Google Hotels crawler produces. Values are pushed to the Apify dataset as structured records.

Data type	Description	Example value
title	Official hotel name	“Grand Hotel Prague”
url	Google Travel hotel entity URL	“https://www.google.com/travel/hotels/entity/XXXXXXXX”
website	Outbound booking link or official site	“https://www.booking.com/hotel/…”
address	Formatted street address	“123 Main St, Prague 110 00, Czechia”
gps.lat	Latitude extracted from pages or geocoded	50.087
gps.lng	Longitude extracted from pages or geocoded	14.421
phone	International phone number (validated)	“+420 123 456 789”
thumbnail	Primary image thumbnail URL	“https://lh3.googleusercontent.com/gps-cs-s/…”
photos	Array of up to 15 image URLs	[“https://lh3.googleusercontent.com/…”, “… ”]
rating	Google rating score (0–5)	4.5
reviews	Total review count	1240
stars	Star score fallback (uses rating if needed)	4.5
amenities	List of amenities parsed from pages	[“Free Wi‑Fi”, “Breakfast”, “Parking”]
prices	List of provider offers with price & link	[{“provider”: “Booking.com”, “price”: 150, “link”: “https://www.google.com/travel/clk?…”}]
priceRange	“min - max” price range derived from offers	“150 - 180”
aboutHotel	Descriptive text from hotel pages	“Modern hotel in the city center with…”
healthAndSafety	Safety measures listed on the page	[“Enhanced cleaning”, “Contactless check-in”]
addressAndContact	Structured contact + check-in/out info	{“address”: “…”, “phone”: “+…”, “checkIn”: “14:00”, “checkOut”: “12:00”}
searchQuery	Query string that produced the result	“Prague hotels”

Notes:

• Fields are returned as structured JSON and can be exported from the Apify dataset.
• Some bonus fields are enriched by fetching both “/location” and “/details” subpages for each hotel (e.g., healthAndSafety, addressAndContact).

Key features

• 🔎 Precision Google Travel extraction Extracts hotel listings from Google Hotels search results and individual hotel pages, including “/location” and “/details”, for richer datasets (amenities, safety, and contact/check-in/out).

• 💰 Provider price capture Collects live provider prices and booking links (e.g., Booking.com, Expedia, Hotels.com) and derives a priceRange for quick comparisons — perfect for Google Hotels price monitoring.

• 🧭 Robust location data Captures GPS coordinates from multiple sources (entity pages, subpages, URL patterns) and can geocode from the address as a fallback to improve mapping and analysis.

• 🧩 Rich content fields Gathers rating, reviews, stars, amenities, photos, thumbnails, aboutHotel text, and healthAndSafety items to power complete hotel profiles.

• 🧵 Parallel fetching for speed Fetches the main entity page plus related subpages concurrently for efficient throughput in bulk runs with maxResults control.

• 🛡️ Smart proxy fallback Starts with no proxy and auto-escalates to datacenter and then residential proxies only if requests are blocked, minimizing costs while improving reliability.

• 📦 Structured JSON output Pushes each hotel as a clean JSON object to the Apify dataset so you can integrate downstream in apps, dashboards, or pipelines.

• 🧑‍💻 Developer-friendly internals Built as a Google Hotels scraper Python actor on Apify, designed for repeatable workflows and automation via the Apify platform.

How to use Google Hotels Scraper - step by step

1. Create or log in to your Apify account
   Access the actor from your Apify dashboard.

2. Configure your search queries
   In the input, set searchQuery to one or more city/area keywords (e.g., “Prague hotels”). This Google Hotels search results scraper supports bulk queries.

3. Set dates and party details
   Provide checkInDate and checkOutDate (YYYY-MM-DD), numberOfAdults, numberOfChildren, and currencyCode to shape availability and pricing.

4. Control the volume
   Use maxResults to limit how many hotels to extract per search (1–5000).

5. (Optional) Set proxy configuration
   Leave proxyConfiguration as default to start free. The actor auto-upgrades to paid proxies only if needed due to blocking.

6. Run the actor
   Click Start. The scraper will search Google Travel, collect unique hotel entity URLs, fetch “/location” and “/details” pages, and push structured JSON.

7. Review and export results
   Open the run’s dataset to preview records (thumbnail, title, address, rating, reviews, prices, priceRange, stars, amenities, gps, aboutHotel, healthAndSafety, addressAndContact, website, url, searchQuery).

Pro Tip: Schedule runs for recurring Google Hotels price monitoring and pipe the dataset into your BI dashboards or internal APIs.

Use cases

Use case name	Description
Travel agencies – competitor tracking	Monitor provider prices and rating shifts across cities to inform packaging and promotions.
Market research – pricing intelligence	Track changes in priceRange and provider offers to analyze seasonality and market dynamics.
Data enrichment for travel apps	Enrich listings with photos, amenities, GPS, and website links sourced via a Google Travel hotels scraper.
Revenue management – benchmarking	Benchmark competitors’ rates from OTA providers to refine yield strategies and offers.
Academic research – tourism analysis	Build city-level datasets of availability, ratings, and amenities for longitudinal studies.
API pipelines – structured ingestion	Automate JSON ingestion into internal systems using this Google Hotels scraper API pattern on Apify.
Location mapping – geo analytics	Use gps.lat/lng with address data to visualize supply and coverage in mapping tools.

Why choose Google Hotels Scraper?

This production-ready Google Hotels data scraper focuses on accuracy, reliability, and structured output for real-world workflows.

• ✅ Accurate, structured fields across hotel pages (entity, location, details)
• 🛡️ Smart proxy fallback (none → datacenter → residential) for resilient runs
• ⚡ Parallel page fetching per hotel for speed at scale with maxResults control
• 🧑‍💻 Built in Python for maintainability and integration on Apify
• 🧭 Rich location and content (gps, amenities, health/safety, photos, descriptions)
• 🔗 Live provider prices with derived priceRange for monitoring and comparison
• 🧰 More stable than manual/browser add-ons — designed for repeatable, automated runs

In short: a reliable Google Hotels scraping tool built for precision datasets, not ad‑hoc scraping.

Is it legal / ethical to use Google Hotels Scraper?

Yes — when done responsibly. This actor extracts publicly available hotel information from Google Travel/Hotels pages.

Guidelines:

• Use the tool in accordance with Google’s terms of service and applicable laws.
• Avoid excessive request rates and respect platform stability.
• Do not collect or use private or sensitive information.
• Verify compliance requirements (e.g., GDPR, CCPA) with your legal team for your specific use case.

Input parameters & output format

Below is a real example of the input JSON and a breakdown of each field.

Example input JSON

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

Parameters

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

Example output JSON

[
  {
    "thumbnail": "https://lh3.googleusercontent.com/gps-cs-s/abc123...",
    "url": "https://www.google.com/travel/hotels/entity/ChcI8J2i9Yq...?g2lb=...",
    "title": "Grand Hotel Prague",
    "website": "https://www.booking.com/hotel/...",
    "address": "123 Main St, Prague 110 00, Czechia",
    "phone": "+420 123 456 789",
    "photos": [
      "https://lh3.googleusercontent.com/p/photo1...",
      "https://lh3.googleusercontent.com/p/photo2..."
    ],
    "rating": 4.5,
    "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": 4.5,
    "amenities": [
      "Free Wi‑Fi",
      "Breakfast",
      "Parking"
    ],
    "gps": {
      "lat": 50.087,
      "lng": 14.421
    },
    "aboutHotel": "Modern hotel in the city center with easy access to major attractions.",
    "healthAndSafety": [
      "Enhanced cleaning",
      "Contactless check-in"
    ],
    "addressAndContact": {
      "address": "123 Main St, Prague 110 00, Czechia",
      "phone": "+420 123 456 789",
      "checkIn": "14:00",
      "checkOut": "12:00"
    },
    "searchQuery": "Prague hotels"
  }
]

Notes:

• gps.lat/gps.lng may be null if not determinable from pages and fallback geocoding cannot resolve.
• addressAndContact is populated only if the details page exposes address/phone/checkIn/checkOut data.
• priceRange appears only when at least one provider price is captured.

FAQ

Is there a free way to try the Google Hotels Scraper?

Yes. You can start with default proxy settings and run smaller jobs to evaluate results. The actor will only escalate to paid proxy tiers if it encounters blocking.

Can this Google Hotels scraper Python actor capture booking prices?

Yes. It collects provider-specific prices and booking links from Google Hotels and derives a priceRange for fast comparisons.

How many hotels can I scrape per run?

Use maxResults to control volume — the input schema supports 1 to 5000 hotels per search query.

Does it extract reviews and ratings?

Yes. It captures the rating score (0–5) and the total reviews count where available, making it a practical Google hotel reviews scraper for trend analysis.

Does it collect hotel availability for specific dates?

It builds search URLs with your checkInDate, checkOutDate, numberOfAdults, numberOfChildren, and currencyCode to reflect date- and party-dependent pricing and availability signals.

How does the proxy work if my requests are blocked?

The actor starts with no proxy and automatically escalates to datacenter and then residential proxies only if needed. This smart fallback balances reliability and cost.

What formats can I use to work with the data?

Data is pushed as structured JSON records to the Apify dataset. From there, you can use the dataset in your workflows, APIs, and analytics.

Is this a Google Maps hotel scraper?

This actor targets Google Travel/Hotels entities and their subpages. For tasks framed as a Google Maps hotel scraper, this focused approach often yields richer hotel profile and pricing data.

Closing CTA / Final thoughts

Google Hotels Scraper is built to provide structured, reliable hotel intelligence from Google Travel. With smart proxy fallback, concurrent page fetching, and rich field coverage (prices, ratings, amenities, GPS, health/safety, photos), it supports marketers, developers, analysts, and researchers alike. Use it for Google Hotels data scraping at scale, integrate the JSON output in your pipelines, and automate Google Hotels price monitoring and travel data workflows. Start extracting smarter travel insights today.