Trivago Hotels Scraper

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Extract comprehensive hotel listings from Trivago with ease. Collect hotel names, prices, ratings, reviews, amenities, and images at scale. Perfect for travel research, price monitoring, and competitive analysis.

Features

• Hotel Listings — Extracts complete hotel data including name, price, and ratings
• Pricing Data — Captures price per night and total stay cost in multiple currencies
• Guest Ratings — Collects guest scores, review counts, and rating categories
• Star Classification — Extracts official hotel star ratings
• Location Details — Captures hotel address and distance from city center
• Hotel Images — Retrieves direct image URLs for each property
• Amenity Lists — Collects available hotel amenities
• Flexible Input — Supports direct Trivago search URLs or destination-based search
• Date Filtering — Filter results by check-in and check-out dates
• Pagination — Automatically fetches multiple pages to meet your result target

Use Cases

Travel Research

Compare hotel prices and ratings across destinations before booking. Collect comprehensive data including pricing, amenities, and guest ratings to make informed travel decisions.

Price Monitoring

Track hotel price fluctuations over time for specific destinations and dates. Build automated pipelines to alert on price drops or availability changes at key properties.

Market Intelligence

Analyze the hotel market in any city or region. Understand pricing benchmarks, guest satisfaction trends, and competition across star ratings and property types.

Data Analytics

Build rich datasets for hospitality industry analysis. Combine Trivago data with other sources to power dashboards, models, or investment decisions.

Travel Platform Development

Populate travel comparison tools and hotel finder apps with live data. Automate data ingestion instead of manual searching.

Input Parameters

Output Data

Each hotel record in the dataset contains:

Usage Examples

Search by Destination

Search hotels in a city using destination-based input:

{
"destination":"Paris, France",
"checkIn":"2026-07-15",
"checkOut":"2026-07-18",
"adults":2,
"results_wanted":50
}

Search by Direct URL

Use a Trivago search URL directly for precise results:

{
"startUrl":"https://www.trivago.com/en-US/lm/hotels-tokyo-japan?search=200-71462;dr-20260609-20260610;drs-20",
"results_wanted":100
}

Large Dataset Collection

Collect a large batch of hotels for market analysis:

{
"destination":"New York, USA",
"checkIn":"2026-08-01",
"checkOut":"2026-08-03",
"adults":2,
"results_wanted":200,
"proxyConfiguration":{
"useApifyProxy":true,
"apifyProxyGroups":["RESIDENTIAL"]
}
}

Sample Output

{
"name":"Park Hyatt Tokyo",
"guestRating":9.1,
"ratingCategory":"Exceptional",
"reviewsCount":3248,
"starRating":5,
"pricePerNight":412.00,
"currency":"USD",
"totalPrice":412.00,
"distanceInfo":"1.2 km from city center",
"address":"3-7-1-2 Nishi Shinjuku, Shinjuku, Tokyo",
"imageUrl":"https://imgcy.trivago.com/c_limit,d_dummy.jpeg,f_auto,h_520,q_auto,w_520/itemimages/82/43/82434_v5.jpeg",
"trivago_url":"https://www.trivago.com/en-US/lm/hotel-rooms/tokyo-japan/park-hyatt-tokyo-82434",
"amenities":["Free WiFi","Swimming Pool","Fitness Center","Restaurant","Spa","Bar"]
}

Tips for Best Results

Use a Direct Trivago URL

• Copy the URL from a Trivago search for the most precise results
• Include date parameters in the URL for accurate pricing data
• The scraper reads all search parameters from the URL automatically

Set Realistic Result Counts

• Start with 20–50 results for quick testing
• Use 100–200 for production data collection
• Large datasets may require more time to collect

Proxy Configuration

• Residential proxies are recommended for reliable results
• Enable proxy via the proxyConfiguration input field
• Datacenter proxies may be blocked by Trivago

Date Ranges

• Always provide check-in and check-out dates for accurate pricing
• Without dates, prices may not be available in results
• Use future dates to get current availability and pricing

Integrations

Connect your hotel data with:

• Google Sheets — Export for price tracking spreadsheets
• Airtable — Build searchable hotel databases
• Slack — Get price drop notifications
• Webhooks — Send to custom endpoints and systems
• Make — Create automated travel monitoring workflows
• Zapier — Trigger booking alerts and notifications

Export Formats

Download data in multiple formats:

• JSON — For developers and APIs
• CSV — For spreadsheet analysis
• Excel — For business reporting
• XML — For system integrations

Frequently Asked Questions

How many hotels can I collect?

You can collect all available hotels for a given search. The practical limit depends on the destination and how many Trivago lists for that city.

Do I need a Trivago account?

No, the scraper works without any Trivago credentials or subscription.

Can I collect data for multiple cities?

Yes, run the actor multiple times with different destination inputs, or use the Apify API to schedule runs across multiple cities.

Are prices accurate?

Prices reflect what Trivago shows at the time of the run. For the most current prices, always include check-in and check-out dates.

What if some fields are empty?

Some fields like amenities or total price may be empty if Trivago doesn't provide that information for the specific hotel or search dates.

Can I filter by star rating?

Use a Trivago URL that already has star rating filters applied, then pass it as startUrl.

How long does a run take?

For 20 hotels, the run typically completes in 1–2 minutes. Larger datasets take proportionally longer.

What proxies should I use?

Residential proxies are strongly recommended. Trivago may block datacenter IPs. Apify's residential proxy pool works reliably.

Support

For issues or feature requests, contact support through the Apify Console.

Resources

• Apify Documentation
• API Reference
• Scheduling Runs

Legal Notice

This actor is designed for legitimate data collection purposes. Users are responsible for ensuring compliance with Trivago's terms of service and applicable data protection laws. Use data responsibly, respect rate limits, and do not use collected data for unauthorized commercial purposes.