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Navratri Mega Sale Price Tracking

Introduction

Online Travel Agencies (OTAs) such as Ctrip, Agoda, and Booking.com dominate global hotel discovery and bookings. These platforms publish vast amounts of lodging data covering hotels, resorts, serviced apartments, and alternative stays across all major travel markets.

Travel-tech companies, hospitality analytics firms, investors, and brands increasingly require structured, continuously updated hotel data from OTAs to support:

  • Price intelligence and benchmarking
  • Market and supply analysis
  • Demand and availability tracking
  • Review and reputation monitoring
  • Content aggregation and discovery platforms

A client approached Actowiz Solutions seeking a scalable hotel/lodging data extraction solution from multiple OTAs, with clean outputs suitable for analytics, dashboards, and APIs.

Client Requirement Overview

Navratri Mega Sale Price Tracking

Industry: Travel, Hospitality, Market Intelligence

Data Sources: Ctrip, Agoda, Booking.com

Geographic Coverage: Global (Asia, Europe, Americas, Middle East)

Key Requirements:
  • Hotel and lodging listings from major OTAs
  • Room-level pricing and availability
  • Future-date calendars
  • Reviews and ratings
  • Consistent schema across OTAs
  • Scalable refresh cycles

Business Challenges

3.1 Different Data Structures Across OTAs

Each OTA presents:

  • Different room naming conventions
  • Different tax and fee structures
  • Varying cancellation and meal-plan rules

Normalizing this data into a single schema was critical.

3.2 Dynamic Pricing & Availability

Hotel prices and availability change frequently due to:

  • Demand fluctuations
  • Events and seasonality
  • Cancellation policies
  • Inventory updates

The system needed reliable refresh and monitoring.

3.3 Room-Level Complexity

The same property may have:

  • Multiple room categories
  • Different inclusions (breakfast, cancellation)
  • Different prices per OTA

Room-level matching and normalization were required.

3.4 Large-Scale Global Coverage

The client required a solution that could scale from:

  • A few cities
  • To thousands of hotels across multiple countries

Actowiz Solutions – Approach

Actowiz Solutions built a Multi-OTA Hotel & Lodging Intelligence Platform that:

  • Extracts property and room-level data from multiple OTAs
  • Normalizes pricing, availability, and content
  • Supports future-date availability
  • Delivers analytics-ready datasets
  • Scales globally with monitoring and QA

Scope of Data Extracted

For each hotel or lodging property, Actowiz extracts (where available):

Data Attributes Captured

Property-Level Data
  • Hotel name
  • Property type (hotel, resort, apartment, villa)
  • Brand / chain (if applicable)
  • Address, city, country
  • Latitude / longitude
  • Star rating
  • Property description
  • Amenities list
  • Check-in / check-out rules
Room-Level Data
  • Room name / category
  • Bed configuration
  • Max occupancy
  • Room size (if available)
  • Inclusions (breakfast, cancellation)
Pricing & Availability
  • Nightly rate
  • Taxes & fees
  • Total out-the-door price
  • Availability status
  • Minimum stay rules
  • 30 / 90 / 365-day calendar (configurable)
Reviews & Ratings
  • Average rating
  • Total review count
  • Recent review indicators
  • Rating distribution (where visible)

Sample Output (Tabular Format)

Sample – OTA Hotel & Lodging Dataset

OTA Hotel Name City Room Type Nightly Price Total Price Rating Reviews Availability
Booking.com Grand City Hotel Paris Deluxe Double Room €145 €168 8.6 2,134 Available
Agoda Ocean View Resort Phuket Sea View Suite $182 $205 8.9 1,487 Limited
Ctrip Skyline Business Hotel Shanghai Executive King ¥820 ¥910 4.5 3,205 Available
Booking.com Alpine Lodge Zermatt Standard Twin CHF 165 CHF 185 8.2 964 Sold Out
Agoda Downtown Apartments Singapore Studio Apartment SGD 138 SGD 152 8.4 1,120 Available

Sample data shown for illustration purposes only.

Output Format & Delivery

Supported Formats:

  • JSON
  • CSV
  • Excel
Delivery Methods:

  • Secure SFTP / FTP
  • Cloud storage (S3 / Blob)
  • Direct database ingestion
  • API endpoints (optional)

Update Frequency

  • Daily refresh for active markets
  • Weekly refresh for long-tail properties
  • On-demand refresh supported

Implementation Timeline

Phase Duration
Requirement Mapping & Schema Design 1–2 days
OTA Scraper Setup & QA 4–5 days
Sample Review & Validation 1 day
Production Deployment 1 day
Total Timeline 7–9 Working Days

Business Impact

11.1 Unified View Across OTAs

The client gained a single dataset combining Ctrip, Agoda, and Booking.com hotel data.

11.2 Better Pricing & Market Insights

Enabled:

11.3 Faster Product & Analytics Development

Structured data fed directly into:

  • BI dashboards
  • Market intelligence tools
  • Travel discovery platforms
11.4 Reduced Manual Effort

Eliminated manual OTA checks and spreadsheet-based tracking.

Why Actowiz Solutions?

  • Deep expertise in OTA & travel data scraping
  • Proven ability to handle room-level complexity
  • Global coverage and scalability
  • Clean, schema-consistent outputs
  • Secure delivery and monitoring
  • Fast turnaround

Actowiz supports hotel and lodging data extraction from:

  • Booking.com
  • Agoda
  • Ctrip
  • Expedia
  • Hotels.com
  • Regional OTAs

Conclusion

Actowiz Solutions delivered a scalable, multi-OTA hotel and lodging intelligence platform that aggregates pricing, availability, room details, and reviews from leading global OTAs.

This solution empowers travel-tech companies, analytics firms, hospitality brands, and investors to make data-driven decisions using accurate, up-to-date lodging intelligence.t regards,

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