Clymin scrapes six categories of data from travel booking sites: room rates and fares, availability and inventory, guest reviews and ratings, property details and amenities, booking policies and terms, and promotional offers. With AI agents monitoring 50+ OTA platforms including Booking.com, Expedia, and Airbnb, Clymin extracts 100B+ data points across all client projects for comprehensive travel market intelligence in 2026.
Room Rates and Pricing Data
Rate extraction forms the foundation of travel competitive intelligence. Clymin captures base room rates, tax-inclusive totals, cleaning fees (for vacation rentals), service charges, and resort fees across all room categories and date ranges.
Dynamic pricing variations add complexity. The same room often shows different prices based on booking lead time, stay duration, and guest count. Clymin extracts rates across multiple search configurations to capture the full pricing landscape.
Promotional and member-exclusive rates require separate extraction. Loyalty program pricing, mobile-only discounts, and flash sale rates appear only under specific access conditions. Clymin's agents simulate each condition to capture rates that standard monitoring tools miss.
Availability and Inventory Data
Room availability reveals demand patterns before rate changes occur. When competitor properties sell out specific room categories, demand is accelerating in the market. Clymin monitors availability windows across 365 days for each tracked property.
Inventory data from Airbnb and vacation rental platforms includes listing counts, new listing creation rates, and seasonal activation patterns. Phocuswright's 2025 analysis found that short-term rental supply grew 23% year-over-year in major leisure destinations.
Clymin's hotel rate scraping service combines availability monitoring with rate extraction to deliver a complete demand picture.
Guest Reviews and Reputation Data
Review data goes beyond aggregate scores. Clymin extracts full review text, sub-category ratings, reviewer demographics, stay dates, and management responses. Sentiment analysis identifies satisfaction drivers across cleanliness, service, location, value, and amenity categories.
Review velocity — the rate of new review generation — affects OTA search rankings. Clymin tracks review frequency for competitors, alerting marketing teams when competitive properties accelerate guest feedback collection.
Property Details and Amenities
Property-level data includes room counts, amenity lists, property descriptions, photo libraries, and star classifications. Competitive benchmarking requires understanding not just pricing but the product being offered at each price point.
Amenity tracking reveals competitive gaps and opportunities. When competitor properties add EV charging stations, co-working spaces, or wellness facilities, the data appears in updated listing descriptions that Clymin monitors automatically.
Booking Policies and Terms
Cancellation policy extraction enables revenue managers to understand competitor flexibility offerings. Free cancellation windows, non-refundable discount levels, and modification policies all influence booking decisions.
Payment terms, deposit requirements, and advance booking minimums round out the policy dataset. Clymin normalizes policy data across platforms for consistent competitive comparison.
Contact Clymin at contact@clymin.com or book a meeting to learn how automated monitoring captures all these data types continuously.