Extract structured hotel data from Hotels.com without building or maintaining a scraper. Get nightly rates, guest ratings, review counts, amenities, images, and availability for any destination worldwide — delivered as CSV, JSON, or via REST API. Fully managed. Starting at $99.
// Hotels.com hotel record — Specrom API { "hotel_id": "4304754", "hotel_name": "Citymax Bur Dubai", "location": "Dubai", "guest_rating": 7.4, "review_count": "1,000 reviews", "amenities": ["Pool"], "nightly_price_usd": 24.0, "total_price_usd": 65.0, "stay_length": "2 nights", "checkin": "2026-03-28", "checkout": "2026-03-30", "images": ["https://images.trvl-media..."], "city": "Dubai", "country": "UAE", "region_id": "6053839" }
Every hotel record is fully parsed and normalized — no HTML fragments, no field mapping, no schema surprises. The same clean structure across every hotel from every destination on Hotels.com.
Unlike raw HTML scraping tools that return messy, unparsed pages, Specrom delivers structured, validated data ready for your database, spreadsheet, or analytics pipeline.
// Pricing — normalized to USD "nightly_price": "$24 nightly", "total_price": "$65 total", "nightly_price_usd": 24.0, "total_price_usd": 65.0, "stay_length": "for 2 nights", // Amenities — parsed, not raw HTML "amenities": [ "Pool", "Breakfast included" ], "amenities_str": "Pool | Breakfast included", // Images — CDN URLs, ready to use "images": [ "https://images.trvl-media.com/...", "https://images.trvl-media.com/..." ]
No scraper to build. No proxies to manage. No pipeline to maintain when Hotels.com updates their front end. You describe what you need and we deliver the data.
Specify your target destinations (cities, regions, or coordinates), check-in/check-out date ranges, guest count, and any filters you need. One-time pull or recurring delivery — daily, weekly, or monthly.
Our cloud infrastructure manages rotating proxies, anti-bot evasion, CAPTCHA handling, and pagination. We scrape Hotels.com search results at scale — validated and normalized before delivery.
Data arrives as normalized JSON via REST API, or as CSV/Parquet for bulk delivery. Push to your S3 bucket, database, or email. Same clean schema every time — 20+ fields per hotel.
Hotels.com data powers better decisions across travel tech, hospitality revenue management, market research, and investment analysis.
Track nightly rates, seasonal pricing patterns, and competitive positioning across any market. Compare your hotel's rates against the competitive set on Hotels.com and optimize your revenue strategy with real pricing data — not estimates.
Analyze hotel supply, amenity distribution, guest rating trends, and pricing dynamics across cities and regions. Understand which markets are oversupplied, which have pricing power, and where new properties could compete.
Build hotel comparison tools, travel recommendation engines, or meta-search aggregators using fresh Hotels.com data. Power your application with real-time rates, availability, and guest ratings across global destinations.
Evaluate hotel market dynamics before investing. Analyze average daily rates, occupancy proxies, review sentiment, and competitive density to identify high-yield markets and underserved segments.
Researchers study hotel pricing, tourism economics, the impact of events on hospitality markets, and urban tourism policy. Our bulk data exports make it easy to analyze thousands of hotels across multiple markets.
Track how conferences, sporting events, holidays, or geopolitical developments affect hotel rates and availability in real time. Monitor rate spikes around major events and quantify demand impact.
Most developers start by writing their own Hotels.com scraper. It works for a session or two, then results start coming back empty, prices show as zero, or the whole pipeline returns 403s. Here's what you're actually up against.
Hotels.com is part of the Expedia Group platform — one of the most heavily protected travel sites on the web. They fingerprint browser headers, track mouse movements, analyze request timing, rotate CAPTCHAs, and serve different content to detected bots. Your scraper might appear to work, but the data you're collecting could be incomplete or silently wrong.
Even if you solve the bot detection problem, Hotels.com renders most of its content via JavaScript and internal API calls. The page structure, class names, and API schemas change without notice. A front-end update that's invisible to a human browsing the site will break your XPath selectors or JSON parsing overnight. You find out when your pipeline stops writing rows — or worse, when it writes bad data without any errors.
Price normalization adds another layer of complexity. Hotels.com displays prices differently by region — sometimes including taxes, sometimes not. Currency conversion, tax treatment, and fee inclusion vary by market. Getting a clean, comparable nightly rate in USD requires careful normalization logic that you'll need to maintain alongside the scraper itself.
The hidden cost of DIY scraping isn't the initial build. It's the permanent maintenance overhead. Every engineer who has run a serious scraping operation knows the feeling of getting paged on a weekend because the pipeline went dark.
// What you query instead — clean REST API GET /hotels/search ?destination=Dubai &checkin=2026-04-01 &checkout=2026-04-03 &guests=2 ¤cy=USD // Returns normalized records: { "total": 248, "page": 1, "per_page": 50, "hotels": [ // 20+ fields per record, // same schema every time ] }
We extract 20+ fields per hotel: hotel ID, name, location, city, country, region ID, guest rating (1–10 scale), review count, parsed amenity list (pool, breakfast, kitchen, hot tub, airport shuttle, etc.), nightly rate in original currency and normalized to USD, total stay price, stay length, check-in/check-out dates, multiple photo URLs, and collection metadata.
One-time scraping starts at $99 for up to 20,000 hotel records. Monthly subscriptions start at $79/month for recurring feeds. We offer significant volume discounts for projects over 100,000 records. Contact us for a custom quote based on your requirements.
Hotels.com is part of Expedia Group and runs enterprise-grade bot detection. We maintain rotating residential proxy infrastructure, browser fingerprint management, and CAPTCHA handling in-house. We absorb the infrastructure cost and ongoing maintenance so you don't have to.
We cover every destination available on Hotels.com globally. You can search by city name, region, or coordinates. We currently serve data across the Middle East, Europe, North America, Asia-Pacific, and more. If you need coverage confirmed for a specific market before committing, reach out and we'll verify.
Both. One-time pulls are priced at $99 for up to 20,000 hotel records. Recurring feeds (daily, weekly, or monthly) are available starting at $79/month with volume discounts. Delta feeds — delivering only rate changes, new listings, and availability updates since the last pull — are available for recurring customers.
REST API with JSON responses for real-time queries. Bulk CSV or Parquet delivery for one-time or scheduled feeds. Delivery to S3, SFTP, PostgreSQL, BigQuery, or via webhook. Email delivery for smaller one-time orders.
Yes. Request a free sample dataset through the form on this page — no sales call required. We'll send you real Hotels.com data for your target market so you can evaluate quality and schema before signing up.
Yes. We offer a managed Airbnb scraping service with a similar structure. If you need data from multiple OTAs for competitive analysis, we can deliver a unified dataset across sources. Contact us with your requirements.
DIY scraper tools hand you the infrastructure problem — you're still responsible for maintaining selectors, managing proxies, handling anti-bot countermeasures, and normalizing the output. When Hotels.com updates their front end, your scraper breaks. Specrom is a managed service: we own the infrastructure, the maintenance, and the normalization. You get a stable API with a consistent schema.
Tell us your target markets and what you're building. We'll respond within 24 hours with a free sample and pricing.