The Client Story
A global hotel revenue platform faced a critical challenge: outdated, unreliable access to live OTA pricing data. Supporting thousands of listings, their legacy tools—static feeds and snapshot crawlers—failed to keep up with real-time price fluctuations, JavaScript rendering, and frequent OTA layout changes.
As a result, over 30% of listings experienced data loss during OTA updates, leading to pricing gaps and margin discrepancies of up to 15%. Manual checks became the norm, and confidence in pricing intelligence collapsed.
The company needed a resilient, real-time rate tracking system engineered for scale, OTA changes, and volatile market conditions.
| Industry: | Hospitality, Online Travel Agencies |
|---|---|
| Cooperation: | 2024 |
| Location: | Global |
“We stopped trusting the data. That’s when we realized the data wasn’t broken—our system was.”
“The difference isn’t in how fast we scrape. It’s in how long we can go without interruption.”
Industry and Services
Check All СasesThe Challenge of Real-Time Hotel Rate Intelligence
Rate accuracy is non-negotiable in the competitive hospitality industry. When OTA prices shift by the hour, due to flash sales, competitor moves, or demand spikes, delayed detection results in missed revenue, pricing mismatches, and eroded margins.
The client’s internal system faced persistent challenges:
- OTA-specific site changes disrupted price structures weekly
- Dynamic rendering blocked traditional HTTP scraping
- Anti-bot defenses—CAPTCHAs, session tokens, throttling—reduced reliability
- Coverage limits capped refresh frequency, leaving blind spots
- Manual intervention grew unsustainable, with analysts spending 15–20 hours/week validating rates
Failures often occurred during high-traffic OTA campaigns, precisely when real-time data was critical.
Custom Hotel Rate Scraping & API-First Data Delivery
GroupBWT developed a fully integrated, custom-engineered scraping infrastructure that was purpose-built to operate at scale under OTA volatility. This wasn’t a plug-and-play solution. It was a living system—continuously adaptive, architected for performance, and seamlessly embedded into the client’s existing pipeline.
System Architecture Overview
- Central Data Coordination
Structured storage of parsed rates, scan history, and pricing trends—enabling real-time operations and long-term analytics.
- Parallel Task Distribution
Load-balanced architecture powered by a message broker system, ensuring uninterrupted operation even under high-volume stress.
- Adaptive DOM Engine
Automatically detects layout shifts and re-targets fields—no manual maintenance required.
- Proxy Intelligence Layer
Advanced proxy rotation, cookie logic, and rate-throttling protect against blocks and ensure long session life
- Dual Scraping Modes
Scrapy (Python) for static-structure OTAs
Playwright / Puppeteer for dynamic, JavaScript-rendered content
“Engineering a hotel rate tracking system isn’t about scraping websites. It’s about reestablishing strategic clarity—hour by hour, price by price.”
Automation and Scalability, Engineered
- Daily Scheduled Scans
Thousands of properties scanned across OTAs with bulk-processing logic and failover redundancy.
- On-Demand Live Checks
Instant pricing validation triggers available to revenue managers—no delays, no friction.
- Flexible Data Delivery
Pricing data structured for seamless integration: API, JSON, or CSV, ready for direct input into pricing systems.
Integration Timeline & Resilience Measures
- Deployment time: 2.5 weeks from kickoff to production
- Challenges: Frequent layout changes and evolving CAPTCHA logic
- Response: Manual QA fallback layered into auto-pipeline to ensure guaranteed fallback coverage for SLA compliance
- Fallback Logic: Failed extractions are automatically retried using historical templates and adaptive re-crawling within 5–10 minutes.
- System Uptime: Maintained at 99.9%, even during OTA code volatility
Stable Pricing Intelligence at Scale
The impact wasn’t just technical. It reshaped how pricing teams worked, how quickly they acted, and how confidently decisions were made.
Business Impact
- Revenue teams regained complete control over promotional and competitive rate positioning
- Analysts shifted from reactive firefighting to proactive benchmarking
- Sales ops used accurate rate data to support OTA negotiations and contract terms
- Leadership tracked compliance trends without relying on fragmented or outdated inputs
GroupBWT didn’t deliver software—we engineered a strategic data backbone—a system designed to adapt, scale, and endure. Today, it powers one of the world’s largest hotel revenue platforms with near-total autonomy.
If your business depends on real-time data, stop relying on systems that break under pressure.
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