Data Sources

Understanding where your hotel rate data comes from.

Overview

ScraperCompany aggregates hotel rate data from multiple sources to give you comprehensive market intelligence. Each source has different characteristics, costs, and use cases.

Google Travel

🗓️

Best for: Calendar Views

90-night forward-looking calendar with daily rate breakdowns. Most cost-effective for extended horizon planning.

Cost: 1 credit

Endpoint: /v1/calendar

Characteristics

Aggregated rates from multiple sources
Up to 90 nights of data in one call
Fast response times (<2s typical)
Best for trend analysis and forecasting
May not include all OTA-specific rates

Booking.com

🏨

Best for: OTA Rate Comparison

Detailed rates, availability, and property info from the world's largest OTA.

Cost: 2 credits

Endpoint: /v1/ota/booking

Characteristics

Most comprehensive hotel coverage globally
Real-time availability and pricing
Detailed amenities and property info
Genius member rates included
Good for European and Asian markets

Hotels.com & Expedia

🌎

Best for: US Market Coverage

Strong US coverage with Hotels.com Rewards pricing.

Cost: 2 credits

Endpoint: /v1/ota/booking

Characteristics

Excellent US and Canada coverage
Hotels.com Rewards member rates
Often competitive pricing in North America
Same backend as Expedia

Agoda

🌏

Best for: Asia-Pacific Region

Strong coverage in Southeast Asia and Pacific markets.

Cost: 2 credits

Endpoint: /v1/ota/booking

Characteristics

Best Asia-Pacific coverage
Competitive pricing in Asian markets
Strong in Thailand, Vietnam, Japan
Often lowest rates in APAC region

Official Hotel Websites

🏢

Best for: Direct Booking Rates

Official hotel website rates for parity monitoring and exclusive deals.

Cost: 3 credits

Endpoint: /v1/official

Characteristics

Most accurate for rate parity monitoring
Captures hotel-exclusive offers
Loyalty program member rates
Often includes best rate guarantees
Higher cost due to complexity

Choosing the Right Source

Use Case	Recommended Source
Extended trend analysis	Google Travel
OTA price comparison	Booking + Hotels.com + Agoda
Rate parity monitoring	Official hotel sites
Budget-conscious scraping	Google Travel
Comprehensive market intel	All sources

Data Freshness

All data sources provide real-time pricing:

Cache: No caching—every request fetches fresh data
Latency: 2-5 seconds typical response time
Updates: Rates reflect current availability at time of request

💡 Cost Optimization Tip

For routine monitoring, use Google Travel (1 credit). For detailed analysis or when you need OTA-specific rates, use targeted OTA endpoints (2-3 credits). This balances cost with data quality.