DATA SOLUTION
Extract Structured Travel Data at Scale.
Extract structured travel information from flights, hotels, OTAs, travel portals, and review platforms.
THE CHALLENGE
Getting reliable travel data from the web is harder than it looks.
Dynamic pricing
Fares and hotel rates change by the minute, and every source exposes pricing differently.
Hidden availability
Real availability depends on inventory, booking windows, and rules that are rarely visible on the surface.
Complex query parameters
Dates, cabin class, passenger counts, room configurations, and currency all affect the results.
Source diversity
Airlines, OTAs, hotels, and metasearch engines each have their own structure, cadence, and quirks.
Currency and tax variance
Prices are expressed in different currencies and include different taxes, fees, and inclusions.
Scale and freshness
Tracking thousands of routes, dates, or properties requires a workflow that stays fresh and doesn't break.
THE MYDATASCRAPER APPROACH
From fragmented web pages to structured business intelligence.
MyDataScraper collects travel information from the sources you select, then structures, validates, and normalizes it into one consistent dataset — with currency normalization, route and date handling, and historical tracking built in — so your product, pricing, and analytics teams work with comparable records instead of raw pages from dozens of travel sites.
What you can build with Travel Data Solutions.
Flight pricing
Capture fares, taxes, cabin class, and fare rules across airlines and OTAs.
Hotel data
Collect hotel details, room types, rates, amenities, and policies.
Availability
Track booking availability and inventory signals where exposed.
Routes & schedules
Structure routes, timings, stops, layovers, and durations into usable fields.
Reviews & ratings
Collect guest or passenger reviews, ratings, and snippets.
Multi-currency normalization
Standardize prices across currencies and tax-inclusion rules.
Historical tracking
Accumulate travel price and availability history for forecasting and analysis.
Location intelligence
Capture property locations, cities, and coordinates for geospatial analysis.
OTA & metasearch coverage
Collect data across booking platforms, aggregators, and metasearch engines.
Date & route scoping
Scope collection by route, date, trip length, or booking window.
Build the dataset around your required fields.
| FIELD | EXAMPLE |
|---|
Available fields depend on the source website and specific use case.
Collect data from the sources your business depends on.
AIRLINES
- Airline websites
- Airline apps
- Loyalty portals
OTAS
- Booking platforms
- Travel aggregators
- Package sites
HOTELS
- Hotel websites
- Chain portals
- Property pages
METASEARCH & REVIEWS
- Metasearch engines
- Review platforms
- Travel communities
Sources can be evaluated based on your target data and collection requirements. Not every website can be supported.
A data workflow designed around your requirements.
-
01
Define
Identify sources, fields, locations, filters, and update frequency.
-
02
Extract
Collect relevant information from the selected sources.
-
03
Structure
Normalize fields and standardize records.
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04
Validate
Check records, remove duplicates, and apply quality controls.
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05
Deliver
Send data through the selected delivery method.
Receive your data the way your systems need it.
How frequently can the data be updated?
One-Time
A single dataset delivered once.
Daily
Refreshed every day.
Weekly
Refreshed every week.
Scheduled
Custom intervals you define.
Near Real-Time*
Where the source and workflow allow.
*Update frequency depends on source availability, technical requirements, and the specific workflow.
What businesses use this data for.
Travel search
Power flight, hotel, or package search with structured data.
Competitor pricing
Track pricing and availability across competing sources.
Price forecasting
Build fare and rate models using historical data.
Revenue management
Feed dynamic pricing and inventory systems.
Travel aggregation
Combine listings across OTAs into one unified catalog.
Review intelligence
Analyze guest and passenger sentiment across platforms.
Trip planning
Feed recommendation and planning engines with structured data.
Reporting & dashboards
Power internal BI dashboards with refreshable travel data.
Built for teams across data-intensive industries.
API DELIVERY
Put travel data solutions directly into your application.
Access structured data through an API instead of maintaining extraction infrastructure yourself.
Illustrative example only. Endpoints and fields are defined per project.
GET /api/travel? route=DEL-BOM date=2026-11-15
{
"airline": "Example Air",
"flight_number": "EA-204",
"route": "DEL-BOM",
"departure": "2026-11-15T09:10:00+05:30",
"arrival": "2026-11-15T11:20:00+05:30",
"duration_minutes": 130,
"stops": 0,
"fare": 4299,
"currency": "INR",
"cabin": "economy",
"source": "ota_a",
"captured_at": "2026-10-02T09:00:00Z"
}
See the data before you build around it.
Review a sample dataset to understand the structure, fields, and level of detail available for your use case.
| ROUTE | AIRLINE | FARE | DURATION | STOPS | CABIN |
|---|---|---|---|---|---|
| DEL → BOM | Example Air | ₹4,299 | 2h 10m | Non-stop | Economy |
| BLR → DEL | Example Air | ₹5,799 | 2h 45m | Non-stop | Economy |
| MAA → BOM | Example Air | ₹4,999 | 2h 05m | Non-stop | Economy |
| HYD → BLR | Example Air | ₹3,899 | 1h 20m | Non-stop | Economy |
| CCU → DEL | Example Air | ₹6,499 | 2h 30m | Non-stop | Economy |
More than extraction.
Data engineering
Design workflows around your actual data requirements.
Structured output
Receive consistent and analysis-ready datasets.
Custom workflows
Choose sources, fields, frequency, and delivery around your use case.
Ongoing data operations
Support recurring workflows as source structures and requirements evolve.
Frequently asked questions.
What travel data can be collected?
Flight prices, routes, timings, airline details, hotel rates, room types, availability, amenities, ratings, reviews, and booking URLs — depending on what each source exposes.
Which travel websites can you collect from?
Airlines, OTAs, hotel booking platforms, metasearch engines, aggregators, and travel review sites. Share the sources you have in mind and we will assess feasibility.
Can data be scoped by route or city?
Yes. Datasets can be scoped by route, origin, destination, city, region, hotel chain, or travel dates.
How do you handle currency differences?
Prices are normalized to a single currency during processing, with original currency preserved as a reference field where needed.
Can I track prices over time?
Yes. Recurring workflows build a historical price and availability dataset, which is often the most valuable output for forecasting and revenue management.
Can you collect hotel reviews and ratings?
Yes. Ratings, review counts, and review snippets can be collected where the source exposes them.
Can data be filtered by travel dates?
Yes. Collection can be scoped to specific travel dates, date ranges, or booking windows depending on the source.
What output formats are available?
JSON, CSV, Excel, database delivery, scheduled feeds, cloud storage, or a custom integration.
Can I receive the data as an API?
Yes. Data can be delivered through a REST API designed around your search, pricing, or dashboard needs.
How often can travel data be updated?
Workflows can run hourly, daily, weekly, or on custom schedules depending on the source and your requirements.
Can you provide a sample dataset?
Yes. Request a sample to review the structure, fields, and level of detail for your use case.
How do you handle changes on travel websites?
Recurring workflows are maintained and adjusted as airline, hotel, and OTA site structures change so delivery keeps matching your requirements.
Build the Travel Data Solutions workflow your business needs.
Tell us what data you need, which sources matter, how often it should be updated, and how you want to receive it.