🏨 Trivago Hotel Scraper

🚀 Export Trivago hotel listings in seconds. Scrape hotel names, prices, ratings, star classifications, review counts, and Trivago listing URLs for any city worldwide. No API key required.

🕒 Last updated: 2026-05-22 · 📊 9 fields per record · 🌍 Worldwide coverage · 🏨 Thousands of hotels per city

The Trivago Hotel Scraper extracts real-time hotel data from Trivago's search results and returns 9 structured fields per hotel, including pricing, guest ratings, star classifications, and direct booking links. Trivago aggregates prices from hundreds of booking providers, making it one of the most comprehensive hotel price comparison sources available.

The scraper supports any city or destination worldwide - from major hubs like New York, Paris, and London to smaller regional destinations. Each run fetches live data, so prices and availability reflect current market conditions.

🎯 Target Audience	💡 Primary Use Cases
Travel-tech teams, hospitality analysts, data scientists, price comparison platforms, researchers	Hotel price monitoring, competitor analysis, travel market research, dataset building, rate parity checks

---

📋 What the Trivago Scraper does

Five workflows in a single run:

• 🌍 City hotel search. All hotels in any city or destination worldwide.
• 💰 Live pricing. Real-time "price from" values from Trivago's aggregated booking sources.
• ⭐ Ratings and reviews. Guest rating scores (out of 10) and total review counts.
• 🌟 Star classification. Official hotel star ratings (1-5 stars).
• 📅 Date-aware pricing. Optional check-in/check-out dates return accurate per-night prices.

Each record includes the hotel name, city, rating, review count, price from, currency, star classification, Trivago URL, and a high-quality hotel image URL.

💡 Why it matters: hotel price data powers travel product decisions, market analysis, and consumer-facing tools. Scraping Trivago manually is error-prone and time-consuming. This Actor returns structured, ready-to-use hotel datasets in seconds.

---

🎬 Full Demo

🚧 Coming soon: a 3-minute walkthrough showing how to go from sign-up to a downloaded dataset.

---

⚙️ Input

Input	Type	Default	Behavior
location	string	"New York City"	City or destination to search (e.g. "Paris", "London", "Tokyo").
maxItems	integer	10	Records to return. Free plan caps at 10, paid plan at 1,000,000.
checkIn	string	null	Check-in date in YYYY-MM-DD format. Leave blank for flexible search.
checkOut	string	null	Check-out date in YYYY-MM-DD format. Leave blank for flexible search.

Example: top 50 hotels in Paris for a weekend trip.

{
    "location": "Paris",
    "checkIn": "2026-06-15",
    "checkOut": "2026-06-18",
    "maxItems": 50
}

Example: all hotels in Tokyo without specific dates.

{
    "location": "Tokyo",
    "maxItems": 100
}

⚠️ Good to Know: prices shown are the lowest available at run time and may vary by booking provider and availability. For the most accurate results, specify check-in and check-out dates. Without dates, Trivago returns forecasted or flexible pricing.

---

📊 Output

Each hotel record contains 9 fields. Download the dataset as CSV, Excel, JSON, or XML.

🧾 Schema

Field	Type	Example
🖼️ imageUrl	string	"https://imgcy.trivago.com/..."
🏨 name	string	"The Plaza, A Fairmont Hotel"
🏙️ city	string	"New York"
⭐ rating	number	9.0
💬 reviewCount	integer	13582
💰 priceFrom	number	914
💱 currency	string	"USD"
🌟 stars	integer	5
🔗 trivUrl	string	"https://www.trivago.com/en-US/odr/..."
🕒 scrapedAt	ISO 8601	"2026-05-22T11:25:45.846Z"

📦 Sample records

---

✨ Why choose this Actor

	Capability
🌍	Worldwide coverage. Any city or destination Trivago supports - thousands of destinations globally.
💰	Live pricing. Real-time prices from Trivago's aggregated booking sources, updated every run.
📅	Date-aware. Specify check-in/check-out dates for accurate per-night pricing.
⭐	Rich metadata. Star classification, guest ratings, review counts, and hotel images in every record.
🔗	Direct links. Trivago listing URLs for every hotel for seamless deep-linking.
🚫	No authentication. Works entirely with public Trivago data. No login or API key needed.
⚡	Fast. 10 hotels in under 30 seconds, 35+ per page.

📊 Trivago aggregates prices from 400+ booking sites, making it one of the richest single-source hotel price comparison datasets available for scraping.

---

📈 How it compares to alternatives

Approach	Cost	Coverage	Refresh	Dates	Setup
⭐ Trivago Scraper (this Actor)	$5 free credit, then pay-per-use	Worldwide	Live per run	Yes	⚡ 2 min
Manual Trivago browsing	Free	Manual	Manual	Yes	🐢 Hours per city
Hotel booking APIs (direct)	$99+/month	Partial	Live	Yes	⏳ Days of integration
Static hotel datasets	Free	Outdated	Never	No	🕒 Variable

---

🚀 How to use

1. 📝 Sign up. Create a free account with $5 credit (takes 2 minutes).
2. 🌐 Open the Actor. Go to the Trivago Hotel Scraper page on the Apify Store.
3. 🎯 Set input. Enter a city name, optional check-in/check-out dates, and set maxItems.
4. 🚀 Run it. Click Start and let the Actor collect your hotel data.
5. 📥 Download. Grab your results in the Dataset tab as CSV, Excel, JSON, or XML.

⏱️ Total time from signup to downloaded dataset: 3-5 minutes. No coding required.

---

💼 Business use cases

💰 Price Intelligence & Monitoring Track hotel price changes across cities over time Monitor competitor rates in key markets Identify pricing gaps and revenue opportunities Rate parity audits across booking platforms	🗺️ Travel Tech & Products Hotel search features with live price data City travel guides with curated accommodation options Price comparison tools and widgets Hotel recommendation engines
📊 Market Research & Analytics Hospitality market sizing by city and region Star-rating distribution analysis Guest rating trends and benchmarks Seasonal pricing pattern research	🤖 Data Science & ML Training datasets for hotel price prediction models NLP corpora from hotel names and descriptions Anomaly detection in pricing patterns Geographic clustering of accommodation types

---

🔌 Automating Trivago Scraper

Control the scraper programmatically for scheduled runs and pipeline integrations:

• 🟢 Node.js. Install the apify-client NPM package.
• 🐍 Python. Use the apify-client PyPI package.
• 📚 See the Apify API documentation for full details.

The Apify Schedules feature lets you trigger this Actor on any cron interval. Daily or weekly refreshes keep downstream databases in sync automatically.

---

🌟 Beyond business use cases

Data like this powers more than commercial workflows. The same structured records support research, education, civic projects, and personal initiatives.

🎓 Research and academia Tourism economics and demand forecasting studies Urban hospitality density mapping Reproducible studies using real-time pricing data Travel behavior research datasets	🎨 Personal and creative Personal travel planning and budget research Side projects and travel app portfolios City comparison tools for digital nomads Vacation planning dashboards
🤝 Non-profit and civic Affordable accommodation research for events Regional tourism support and promotion Investigative journalism on travel pricing Community travel guides	🧪 Experimentation Train hotel price prediction ML models Prototype travel product ideas with real data Test dashboard concepts with live hotel feeds Validate hypotheses about pricing behavior

---

🤖 Ask an AI assistant about this scraper

Open a ready-to-send prompt about this ParseForge actor in the AI of your choice:

• 💬 ChatGPT
• 🧠 Claude
• 🔍 Perplexity
• 🅒 Copilot

---

❓ Frequently Asked Questions

🧩 How does it work?

Enter a city name, optional dates, and click Start. The Actor resolves the location, queries Trivago's search API, and returns structured hotel records with pricing, ratings, and links.

🌍 Which cities are supported?

Any city or destination that Trivago supports - thousands of cities worldwide. The Actor uses Trivago's own location resolver to find the correct destination.

💰 Are prices real-time?

Yes. Every run fetches live data from Trivago, which aggregates prices from 400+ booking providers. Prices reflect availability at run time.

📅 Should I specify check-in/check-out dates?

Yes, for the most accurate pricing. Without dates, Trivago returns forecasted or approximate prices. Specifying dates returns confirmed per-night rates.

🔁 How often should I run this Actor?

For price monitoring, daily runs are ideal. For market research, weekly runs are usually sufficient. Use Apify Schedules to automate recurring runs.

💳 Do I need a paid Apify plan?

No. The free plan provides 10 hotels per run. A paid plan lifts the limit up to 1,000,000 hotels per run and enables scheduling.

🏨 How many hotels can I scrape per city?

Trivago typically returns 35+ hotels per page. The Actor paginates automatically to reach your maxItems limit or Trivago's total for that city.

⚖️ Is this data legal to use?

Trivago's hotel listings are publicly accessible search results. For commercial use, review Trivago's terms of service and applicable laws in your jurisdiction.

💼 Can I use this data commercially?

The Actor returns public search result data. You are responsible for ensuring your use case complies with Trivago's terms of service.

🆘 What if I need help?

Our support team is here to help. Contact us through the Apify platform or use the Tally form linked below.

🔄 What if the scraper returns no results?

If a location returns no results, try a more specific or well-known city name (e.g. "New York" instead of "New York City"). The Actor uses Trivago's own location resolver, so major international destinations always work.

🌐 What currency are prices shown in?

Prices are returned in USD by default. The currency field in each record confirms the currency code.

---

🔌 Integrate with any app

Trivago Scraper connects to any cloud service via Apify integrations:

• Make - Automate hotel data workflows
• Zapier - Connect with 5,000+ apps
• Slack - Get run notifications in your channels
• Airbyte - Pipe hotel data into your warehouse
• GitHub - Trigger runs from commits and releases
• Google Drive - Export datasets straight to Sheets

You can also use webhooks to trigger downstream actions when a run finishes.

---

🔗 Recommended Actors

Actor	Description
🏕️ Hipcamp Scraper	Campsite and outdoor accommodation listings
🏠 Vrbo Scraper	Vacation rental listings and pricing
🌍 GetYourGuide Scraper	Tours, activities, and experiences worldwide
📍 Foursquare Scraper	Venue data, ratings, and location information
🗺️ Rome2Rio Scraper	Multi-modal travel routes and transport options

💡 Pro Tip: browse the complete ParseForge collection for more travel and hospitality scrapers.

---

🆘 Need Help? Open our contact form to request a new scraper, propose a custom data project, or report an issue.

---

⚠️ Disclaimer: this Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by Trivago N.V. or any of its subsidiaries. All trademarks mentioned are the property of their respective owners. Only publicly available search result data is collected.