🏨 Booking.com Hotels Listing Scraper

Collect structured Booking.com hotel listing data from destination searches or direct Booking search URLs in minutes. This actor is built for travel analysts, pricing teams, market researchers, and operations teams that need clean listing data without manual browsing.

Use it to track hotel prices, compare ratings, monitor review volumes, analyze cancellation policies, and export listing data for reporting, benchmarking, and travel market research.

The Booking.com Hotels Listing Scraper returns 60+ structured output fields, including pricing, ratings, reviews, room offerings, policy flags, and listing-enriched metadata from Booking listing results.

✨ What Does It Do

• 🧭 Collect listings using either destination search inputs or a direct Booking search URL (startUrl).
• 💵 Capture displayed price, original price, numeric price, currency, and pricing badges.
• ⭐ Extract ratings, rating labels, review counts, star ratings, and external review signals.
• 🛏️ Parse room offering signals such as room type, occupancy, bed hints, and block pricing.
• 📍 Capture address, city, coordinates, and distance-related fields for mapping and location analysis.
• ✅ Extract policy fields like free cancellation, no prepayment, and sold-out indicators.
• 🧩 Return listing-enriched fields directly from Booking listing results without requiring hotel page scraping.
• 📅 Use check-in and check-out dates so Booking returns more realistic pricing for your stay window.

🔧 Input

• Start URL: Paste one Booking search result URL.
• Max Items: Maximum total listings to collect across the run.
• Destination: Search by destination using search (or legacy destination) when not using startUrl.
• Property Type: Filter by hotels, apartments, hostels, and more.
• Min Score / Stars / Price Range: Filter by review score, star count, and price range.
• Sort By: Choose Booking listing sort order.
• Check-in / Check-out: Provide stay dates for realistic listing prices.
• Adults / Children / Rooms / Children Ages: Adjust result set for your target traveler profile.
• Language / Currency / Flex Window: Control localization and date flexibility behavior.
• Include Filter Metadata: Include Booking filter/sorter metadata in output.
• Proxy Configuration: Configure networking behavior for larger runs.

Important mode rule:

• Use startUrl or destination/filter inputs.
• If both are provided, the actor returns an input error by design.

Example JSON input:

{
  "startUrl": "https://www.booking.com/searchresults.en-gb.html?ss=Paris&checkin=2026-04-01&checkout=2026-04-04&group_adults=2&no_rooms=1&group_children=0",
  "maxItems": 50
}

{
  "search": "Paris",
  "checkIn": "2026-04-01",
  "checkOut": "2026-04-04",
  "adults": 2,
  "rooms": 1,
  "maxItems": 100,
  "minScore": "8.5",
  "starsCountFilter": "4",
  "currency": "USD",
  "language": "en-gb"
}

📊 Output

Download your results in CSV, Excel, or JSON.

🖼️ Image URL	🆔 Hotel ID	🏨 Hotel Name
🔗 URL	💵 Price	💱 Currency
⭐ Rating	📝 Reviews	🏷️ Stars
📍 Location	🏙️ City	🌍 Country
🧭 Coordinates	✅ Free Cancellation	💳 No Prepayment
🛏️ Room Offerings	🧩 Listing-Enriched Fields	⏱️ Scraped At

When available, the actor also returns richer listing fields such as distance metrics, discount/tax summaries, genius flags, sustainability hints, and room configuration metadata.

💎 Why Choose the Booking.com Hotels Listing Scraper?

This actor combines destination search mode and direct search URL mode in one flow, so you can collect both broad market snapshots and reproducible URL-based datasets without switching tools. It also includes listing-enriched fields from Booking listing results, giving you deeper output than basic title/price scrapers.

It is built for practical business workflows. You can filter by score, stars, price range, property type, date window, and guest profile, then export a flat dataset ready for pricing analysis, competitive benchmarking, destination intelligence, or travel reporting.

📋 How to Use

No technical skills required.

1. Sign Up: Create a free account w/ $5 credit
2. Open the Actor: Find the Booking.com Hotels Listing Scraper in the Apify Store.
3. Set Your Input: Use startUrl or destination/filter mode (not both).
4. Run the Actor: Start the run and let it collect listing data.
5. Download the Results: Export your dataset in CSV, Excel, or JSON.

🎯 Business Use Cases

• Travel Market Researchers

  • Track hotel pricing shifts by destination and date windows.
  • Compare rating distributions and review counts by property type.
  • Build benchmark datasets for hotel demand and positioning analysis.
  • Monitor cancellation and prepayment trends across destinations.

• Revenue and Pricing Teams

  • Compare competitor rate movements by neighborhood and stay period.
  • Analyze listing-level discounts, badges, and policy signals.
  • Export normalized datasets for BI dashboards and pricing models.
  • Run recurring snapshots for trend detection and alerts.

❓ FAQ

How does it work?
You can start from one Booking search URL or from destination/filter inputs. The actor fetches Booking listing results and saves normalized output rows.

How accurate is the data?
The actor collects live public listing data during the run. Prices, inventory, and policy fields can change frequently, so rerun when you need fresh data.

Can I schedule regular runs?
Yes. Use Apify schedules to run hourly, daily, weekly, or on any custom interval.

Do I need proxy?
Small runs often work without it. For larger or repeated runs, residential proxies are recommended for stability.

🔗 Integrate Booking.com Hotels Listing Scraper with any app

• Make - Automate workflows
• Zapier - Connect 5000+ apps
• GitHub - Version control integration
• Slack - Get notifications
• Airbyte - Data pipelines
• Google Drive - Export to spreadsheets

You can also connect the actor to webhooks for event-driven automation.

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Browse our complete collection of data extraction tools for more.

🚀 Ready to Start?

Create a free account w/ $5 credit and start collecting Booking listing data in minutes.

🆘 Need Help?

• Check the FAQ section above for common questions.
• Visit the Apify support page for platform help and tutorials.
• Use our Tally contact form for custom solutions, requests, or issue reporting.

❌ Disclaimer

This Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by Booking.com or any of its subsidiaries. All trademarks mentioned are the property of their respective owners.