Travel Data Scraping in India, built for India's travel economy
Flight fares, hotel rates, bus and train availability, packages, reviews and booking windows pulled from every major Indian travel platform structured, deduplicated, and delivered on a schedule you set through our Travel data scraping in India pipelines.
Travel Industry Overview in India
India's travel and tourism market is one of the fastest-digitising in the world and one of the hardest to track manually. Here's the landscape our Travel data scraping in India pipelines are built for.
Between a handful of dominant OTAs, a growing metasearch layer, direct airline and railway portals, and thousands of independent travel agents, fare data in India changes constantly new routes launch weekly, prices get re-calculated by demand and seat class, and offers rotate daily. Manual tracking simply cannot keep pace across this scale, which is why data teams, travel brands, and market researchers rely on web scraping travel data in India instead of spreadsheets.
Our Travel Data Scraping Services
End-to-end coverage of the travel data stack from raw extraction to analytics-ready delivery.
Flight Data Scraping India
Airlines, routes, fare classes, timings, and seat status across every booking platform on a route.
Hotel & Stay Data Scraping
Room-level inventory with rate plans, amenities, and category structure, refreshed on schedule.
Fare & Offer Monitoring
Base fare, dynamic fare, discounts, and promo-code tracking across seasons and platforms.
Reviews & Ratings Extraction
Star ratings, review text, sentiment tags, and rating trend history per property or route.
Booking & Availability Intelligence
Seat/room availability windows, minimum stay rules, cancellation slabs, and bookability zones.
Route & Destination Mapping
Geo-coordinates, route counts, hub footprint, and destination-level demand mapping.
Leading Travel Delivery Platforms We Scrape
OTAs, metasearch layers, and direct-to-app booking systems across India.
Coverage is built and maintained per client requirement, in line with each platform's public data and applicable terms of use. This is the core of our travel scraping company India engagements.
Flight Data Scraping India
A complete, deduplicated flight fare master list per route the foundation layer every indian airline fare scraping workflow depends on.
- Airline name, flight number, cabin class, and fare band
- Departure/arrival times and seat availability status
- Cross-platform ID matching to remove duplicates
{
"flight_id": "WDC-DEL-04821",
"airline": "IndiGo 6E-204",
"platform": "Goibibo",
"origin": "New Delhi",
"destination": "Mumbai",
"cabin_class": ["Economy", "Business"],
"fare_inr": 4650,
"rating": 4.3,
"status": "available",
"last_scraped": "2026-07-10T09:12:00Z"
}
Fare & Offer Monitoring
Track how fares and discounts move across platforms and travel windows, down to the promo code level.
- Base fare vs. platform dynamic/peak-season fare
- Active promo codes, flat-off and percentage-off offers
- Historical fare change logs for trend analysis
| Route/Item | Platform | Base ₹ | Offer |
|---|---|---|---|
| Delhi–Goa Flight | ixigo | 4,249 | 10% OFF |
| Mumbai Hotel Stay | EaseMyTrip | 3,399 | Flat ₹500 |
| Bengaluru–Chennai Bus | redBus | 659 | Buy1Get1 |
| Holiday Package | SOTC | 18,900 |
Reviews & Ratings Extraction
Structured review capture with rating history, so you can spot service-quality drift before it shows up in cancellations.
- Overall rating and journey-experience sub-ratings
- Review text with date and traveller tier
- Rating trend tracked over rolling 30/90-day windows
{
"listing_id": "WDC-HYD-01193",
"rating_overall": 4.1,
"rating_journey": 4.4,
"review_count_30d": 312,
"rating_trend_90d": "+0.2",
"top_tags": ["on-time departure", "smooth booking"]
}
Booking & Availability Intelligence
Understand bookability and travel booking data extraction for India at the route and locality level.
- Estimated booking windows by route
- Minimum stay rules and cancellation fee slabs
- Serviceable radius and hub assignment
| Route | Window | Min Stay | Fee ₹ |
|---|---|---|---|
| Pune–Goa | 2–8 hrs | 1 night | 199 |
| Delhi–Manali | 6–12 hrs | 2 nights | 299 |
| Mumbai–Pune | 1–3 hrs | 0 nights | 99 |
Route & Destination Mapping
Geo-tagged route data for footprint mapping, whitespace analysis, and competitor density studies across the travel data extractions across India workflow.
- Latitude/longitude and full hub address
- Service type: flight, train, bus, or package
- Operator-wise route counts per city and region
| Operator | City | Routes | Type |
|---|---|---|---|
| IRCTC | Chennai | 14 | Train |
| redBus | Chennai | 22 | Bus |
| IndiGo | Chennai | 31 | Flight |
Travel Data Fields We Extract
A standard field set that most engagements start from extended per client on request.
Sample Travel Dataset
A preview of the raw fields our crawlers pull from travel booking platforms across Indian routes this is a 10-row sample from a live dataset refreshed daily, part of our ongoing travel data extractions across India.
| # | Listing | Type | Origin Destination | Rating | Trip Type | Platforms | Fare | Duration | Updated |
|---|---|---|---|---|---|---|---|---|---|
| 01 | IndiGo 6E-204 | Flight | Delhi Mumbai | ★ 4.5 | Domestic | GOIIXI | ₹4,800 | 2h 10m | 2026-07-10 05:40 |
| 02 | Taj Bandra Suite | Hotel | Chennai T. Nagar | ★ 4.4 | Domestic | GOIEMTMUS | ₹4,500 | 1 night | 2026-07-10 05:55 |
| 03 | Rajdhani Express | Train | Delhi Jama Masjid | ★ 4.6 | Domestic | IRCIXI | ₹1,600 | 16h 00m | 2026-07-10 06:02 |
| 04 | FabHotel Prime | Hotel | Pune FC Road | ★ 4.3 | Domestic | EMTPTM | ₹2,350 | 1 night | 2026-07-10 05:48 |
| 05 | VRL Volvo AC | Bus | Mumbai Colaba | ★ 4.2 | Domestic | RED | ₹950 | 9h 30m | 2026-07-10 06:07 |
| 06 | Air India AI-505 | Flight | Bengaluru Indiranagar | ★ 4.5 | International | GOIEMTIXI | ₹28,700 | 8h 45m | 2026-07-10 05:33 |
| 07 | Golden Triangle Tour | Package | Ahmedabad Manek Chowk | ★ 4.4 | Domestic | SOTTCI | ₹22,400 | 5 days | 2026-07-10 06:15 |
| 08 | The Oberoi Grand | Hotel | Kolkata Ballygunge | ★ 4.6 | Domestic | GOIEMTTVG | ₹9,200 | 1 night | 2026-07-10 05:59 |
| 09 | Rajasthan Royal Package | Package | Jaipur Tonk Road | ★ 4.3 | Domestic | MUS | ₹16,900 | 4 days | 2026-07-10 05:21 |
| 10 | IRCTC Duronto Express | Train | Hyderabad Secunderabad | ★ 4.4 | Domestic | IRCIXIEMT | ₹1,150 | 12h 15m | 2026-07-10 06:20 |
🇮🇳 Sample records live India travel data API returns full datasets with all scraped fields across 180 cities
Access Full Datasets →Travel Industry Use Cases
How teams put this data to work once it lands in their warehouse.
Competitive fare benchmarking
Compare fares across your routes vs. competing operators, city by city.
New route site selection
Identify underserved corridors using demand density and booking-time data.
Dynamic fare optimisation
Spot high-performing routes and pricing gaps across your catalogue.
OTA commission analysis
Reconcile listed fares against payouts across platforms.
Brand reputation monitoring
Track rating drift and review sentiment across listings in near real time.
Market-entry research
Size a city's travel booking market before committing to expansion.
Industries We Serve
Airlines & Rail Operators
Hotel & Hospitality Chains
Online Travel Aggregators
Tour & Package Operators
Market Research Firms
Investors & PE / VC Analysts
Pricing & Revenue Teams
Consulting & Advisory Firms
Benefits of Travel Data Scraping
What structured, always-fresh travel data actually changes for your team.
Faster decisions
Skip manual audits fare and availability changes land in your pipeline within hours.
Nationwide coverage
See every route in a market, not just the ones your team can manually check.
Historical trendlines
Fare, rating, and offer history that spreadsheets can't reconstruct after the fact.
Clean, deduped data
One route record per listing, matched across platforms no duplicate noise.
Analyst hours saved
Redeploy research time from data collection to actual analysis and strategy.
API-ready delivery
Plug data directly into your BI tools, dashboards, or internal systems.
Our Travel Data Collection Process
Modelled on the same discipline Indian Railways uses to route thousands of journeys daily a coded, repeatable system that scales without dropping a single record.
Scope & target mapping
We confirm platforms, cities, and the exact field set your use case needs.
Pipeline build
Custom crawlers and parsers are built per platform, respecting each site's structure and terms.
Scheduled extraction
Data is pulled on the cadence you need hourly, daily, or weekly.
Cleaning & deduplication
Records are normalised, cross-platform matched, and validated before delivery.
QA & anomaly checks
Automated checks flag missing fields, price outliers, and broken listings.
Delivery & handoff
Final data lands in your chosen format or API endpoint, on schedule.
Data Delivery Formats & Scrape Travel API
Take the data however your stack consumes it.
CSV / Excel
Ready for spreadsheets and BI tools.
JSON
Nested, structured records for apps.
REST API
Query live data on demand.
Database push
Direct delivery into your warehouse.
{
"count": 4820,
"page": 1,
"results": [ "..." ],
"updated": "2026-07-10T06:00:00Z"
}
Cities Covered Across India
Metro-first coverage that extends into tier-2 and tier-3 markets as travel platforms grow.
Frequently Asked Questions
We collect publicly available data and structure our pipelines around each platform's public listings and applicable terms. We recommend clients review their own use case with legal counsel, especially for redistribution.
Refresh cadence is set per engagement commonly hourly for fares/offers, daily for availability, and weekly for route/location data.
Yes we build custom field mapping per client rather than delivering a fixed template. Share your schema and we'll scope accordingly.
CSV, Excel, JSON, direct database push, or REST API access whichever fits your existing stack.
Yes, coverage extends beyond the eight metros into tier-2 and tier-3 markets, scoped on request based on platform availability.
Fill in the form below with your route and platform of interest we'll share a free structured sample dataset within one business day.
Why Choose Our Web Data Crawlers?
Streamline Research
Automate data collection for comprehensive insights.
Save Time
Efficiently gather and analyze data from multiple sources.
Real-time Updates
Stay continuously informed with the latest information.
Competitive Advantage
Monitor competitors' activities and pricing strategies.
Insightful Analysis
Extract trends and patterns for strategic decision-making.
Market Intelligence
Aggregate data from diverse websites effortlessly.
Customizable Solutions
Tailored to fit specific business requirements seamlessly.
Enhanced Productivity
Streamline workflows and boost efficiency significantly.
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