INQUIRE NOW
INQUIRE NOW
Real-Time Travel Data Intelligence — India

Travel Data Scraping & Intelligence API for India

India's most comprehensive Travel Data Scraping platform — delivering real-time travel data insights from 1M+ flights, hotels, trains, and OTA platforms including MakeMyTrip, Goibibo, Cleartrip & Ixigo. Power your apps, AI models, and pricing engines with structured travel data intelligence via a single REST API.

1M+ Flights Tracked
600K+ Hotel Listings
500+ Indian Routes
Real-Time Data Refresh
india_travel_response.json
{
  "listing_id": "HTL-MUM-00914",
  "name": "The Taj Lands End",
  "type": "luxury_hotel",
  "star_rating": 5,
  "guest_score": 9.1,
  "price_per_night_inr": 18500,
  "room_types": [
    "deluxe", "sea_view_suite"
  ],
  "ota_platforms": {
    "makemytrip": 18500,
    "goibibo": 18200,
    "booking_com": 19100
  },
  "amenities": [
    "pool", "spa", "gym"
  ],
  "free_cancellation": true,
  "geo": {
    "lat": 19.0449,
    "lng": 72.8186,
    "city": "Mumbai, MH"
  },
  "scraped_at": "2025-06-05T09:14:00+05:30"
}
Data Fields

Every India Travel Data Field
Your Team Needs — Explained

Our India travel data scraping API captures 85+ structured fields across flights, hotels, trains, OTA platforms, pricing, reviews, and geolocation — normalized into one consistent schema across MakeMyTrip, Goibibo, Cleartrip, Ixigo, IRCTC, and more.

Flight
flight_number / carrier_code
IATA airline code and flight number scraped in real-time from Indian airline websites and OTA aggregators. Covers IndiGo, Air India, SpiceJet, Vistara (now Air India), Akasa Air, and all operating Indian carriers across 100+ domestic routes.
"6E2041" / "6E" (IndiGo)
Flight
origin / destination
IATA airport codes and city names for departure and arrival, normalized across all Indian airports including metro hubs (DEL, BOM, BLR, MAA, CCU, HYD) and Tier-2 destinations like Indore, Coimbatore, and Guwahati.
{"origin": "DEL", "destination": "BOM"}
Flight
departure_datetime / arrival_datetime
Scheduled and actual departure/arrival timestamps in IST (UTC+5:30) and UTC. Includes real-time delay status, tarmac hold flags, gate changes, and cancellation codes — essential for Indian aviation intelligence platforms.
"2025-06-15T06:30:00+05:30"
Flight
fare_class / cabin
Booking class code and cabin type (economy, premium economy, business) with seat availability counts. Tracks IndiGo's Super Saver vs. Flexi fares, Air India's business class yield, and budget airline restricted fare conditions side-by-side.
{"class": "Y", "cabin": "economy", "seats_left": 6}
Flight
stops / layover_airports
Number of stops and intermediate Indian airport codes with layover durations. Common via-points like Hyderabad (HYD) and Bangalore (BLR) for Northeast routes are fully mapped, enabling nonstop-only filters and true journey-time comparisons.
{"stops": 1, "layovers": [{"airport": "HYD", "min": 75}]}
Flight
baggage_policy
Carry-on and checked bag allowances with fees per booking class scraped from all Indian carrier policy pages. Especially critical for low-cost carrier (LCC) comparison as IndiGo, SpiceJet, and Akasa Air charge separately for baggage add-ons.
{"carry_on": "7kg_free", "checked_15kg": 699}
Hotel
hotel_name / property_type
Full property name and classification covering India's unique accommodation spectrum — heritage hotels, palace hotels, dharamshalas, homestays, resorts, service apartments, and budget lodges — normalized across MakeMyTrip, Goibibo, and Booking.com.
"Umaid Bhawan Palace" / "heritage_palace"
Hotel
star_rating / guest_score
Official star classification (Ministry of Tourism approved) and platform-specific guest review score on a normalized 0–10 scale. Bridges inconsistencies across MakeMyTrip's "wallet points" system, Goibibo's Go Cash scores, and Booking.com's 10-point scale.
{"stars": 5, "guest_score": 9.1}
Hotel
amenities
Standardized list of 65+ amenity flags including AC type, rooftop, restaurant cuisine type, in-house travel desk, airport pickup, yoga room, Ayurveda spa, and wedding/banquet facilities — scraped and mapped from unstructured Indian property pages.
["pool", "ayurveda_spa", "airport_pickup", "wedding_hall"]
Hotel
room_types / max_occupancy
All available room configurations with Indian-specific naming (Superior, Deluxe, Club, Presidential) plus bed type, AC classification, view type, and max occupancy. Paired with per-room pricing across all listed OTAs for full comparison coverage.
{"type": "deluxe_sea_view", "sqft": 480, "max_occ": 3}
Hotel
meal_plan
India-specific meal plan classification — EP (Room Only), CP (Breakfast), MAP (Breakfast + Dinner), AP (All Meals) — scraped per rate and OTA. Meal plan inclusions significantly affect true price comparisons in the Indian market.
"MAP" (Breakfast + Dinner Included)
Hotel
availability_calendar
30/60/90-day rolling availability view with open/sold-out dates and surge pricing across peak Indian travel seasons — Diwali, Dussehra, Christmas, and IPL season — where hotel rates spike 3–5x versus off-peak.
{"2025-10-20": {"available": false, "note": "Diwali peak"}}
Pricing
price_per_night_inr
Current base rate per night in INR with GST-inclusive and GST-exclusive variants (Indian hotels display rates both ways). Tracked with timestamps for real-time rate parity monitoring across all Indian OTA channels.
{"base": 18500, "gst_inclusive": 21830}
Pricing
ota_price_comparison
Same-property pricing captured simultaneously across MakeMyTrip, Goibibo, Cleartrip, Ixigo, Yatra, Agoda, and Booking.com. Price spreads of 8–25% are common in India — this field surfaces arbitrage and parity violations at scale.
{"makemytrip": 18500, "goibibo": 18200, "cleartrip": 18950}
Pricing
gst_breakdown
Itemized GST slab applied to the booking — 12% for hotels below ₹7,500/night, 18% above — plus any other mandatory state levies. Critical for corporate travel reimbursement platforms and GST input credit reconciliation tools.
{"gst_slab": "18%", "gst_amount": 3330, "total_inr": 21830}
Pricing
price_history
Historical rate snapshots timestamped up to 24 months in INR. Track seasonal pricing spikes around Indian festivals, long weekends, and IPL season; model advance purchase discount curves for any property across India's 28 states and 8 UTs.
[{"date":"2025-01","price_inr":12400}, {"date":"2025-10","price_inr":41000}]
OTA
ota_listing_url
Direct listing URL on each Indian OTA platform including MakeMyTrip, Goibibo, Cleartrip, Ixigo, Yatra, EaseMyTrip, and Agoda — enabling deep-link integration into comparison tools and price alert platforms for the Indian travel market.
"https://www.makemytrip.com/hotels/hotel_detail/?hotelId=..."
OTA
coupon_codes / wallet_offers
Platform-specific promo codes, HDFC/ICICI/SBI bank card offers, Go Cash wallet balances, and MakeMyTrip double dip deals scraped as they appear — with expiry timestamps, eligible payment methods, and effective discount percentages.
{"code": "HDFCFLY", "discount_pct": 12, "bank": "HDFC"}
Train / IRCTC
train_number / train_name
Indian Railways train number and official name scraped from IRCTC and third-party train tracking platforms. Covers all express, superfast, Vande Bharat, Rajdhani, Shatabdi, and Duronto services across India's 68,000+ km rail network.
{"number": "12301", "name": "Howrah Rajdhani"}
Train / IRCTC
class_availability / quota
Seat and berth availability by class (1A, 2A, 3A, SL, CC, EC, 3E) and quota type (general, tourist, tatkal, premium tatkal, ladies, senior citizen) — updated every 15 minutes to mirror IRCTC's live seat inventory.
{"2A": {"avail": 12, "quota": "GN"}, "SL": {"avail": 0, "WL": 45}}
Train / IRCTC
tatkal_fare / dynamic_price
Tatkal and premium tatkal surcharge amounts by class, plus current dynamic pricing multiplier. Dynamic pricing on Rajdhani and Shatabdi trains can push fares 1.5–2x base — this field tracks the real-time multiplier for fare alert and booking optimization tools.
{"base_fare": 1240, "tatkal_surcharge": 400, "dynamic_mult": 1.4}
Reviews
review_sentiment_score
Aggregated sentiment score from structured parsing of English and Hindi guest review text. Subscore breakdowns by cleanliness, location, value, service, food quality, and staff behavior — enabling NLP-ready Indian travel datasets for AI model training.
{"overall": 9.1, "food": 9.4, "cleanliness": 8.9}
Location
geo_coordinates
Verified latitude/longitude with sub-50m accuracy across India's 740+ districts. Includes Plus Codes and Gram Panchayat-level identifiers for rural properties in pilgrimage destinations like Varanasi, Tirupati, and Kedarnath.
{"lat": 19.0449, "lng": 72.8186}
Location
address / pincode / state
Full standardized Indian address including street, locality, city, district, state, and 6-digit PIN code — normalized to India Post standards. Covers all 28 states, 8 Union Territories, and hill station addresses where conventional addressing is inconsistent.
"Bandstand, Bandra West, Mumbai, MH 400050"
Location
nearby_attractions / poi_distance
Distance in km to top POIs including airports, railway stations, pilgrimage sites, national parks, metro stations, and tech parks. Validated across India's 4,000+ cities for proximity filtering in Indian consumer travel apps.
{"airport_km": 14.2, "gateway_of_india_km": 0.8}
Real-World Applications

Who Uses Our India Travel Data Intelligence

From Indian fintech giants to Series A AI startups, companies across every sector use our real-time travel data scraping API to power pricing engines, investment platforms, and consumer travel products built for the Indian market.

Indian OTAs / Metasearch

Fare Aggregation from MakeMyTrip, Goibibo & Ixigo

Emerging Indian OTAs use our travel data scraping API to aggregate flight fares and hotel rates from all major Indian platforms into a unified search index — refreshed every few minutes to ensure pricing accuracy without negotiating individual API contracts with MakeMyTrip, Goibibo, and Cleartrip separately.

Fare aggregationOTA coverageReal-time inventory
Hotel Revenue Management

Rate Parity & Competitive Intelligence

Indian hotel chains use our travel data intelligence feeds to monitor competitor rates across MakeMyTrip, Goibibo, Agoda, and Booking.com simultaneously. Festival season surges, long-weekend spikes, and OTA bank card discount events that undercut direct booking rates are detected within minutes — enabling same-day rate adjustments that protect RevPAR during peak Indian travel seasons.

Rate parityFestival pricingRevPAR
AI / ML Startups

Training Data for India Travel AI Models

AI teams building Indian fare prediction, train waitlist forecasting, and hotel demand models use our structured travel data as training input. With 24 months of INR price history, 85+ normalized fields including IRCTC quota availability, and consistent schema across all Indian platforms, datasets are ML-ready without custom ETL pipelines.

ML training dataFare predictionWaitlist forecasting
Indian Fintech / Credit Cards

Travel Rewards Optimization & Benchmarking

Indian credit card companies and fintech platforms use our real-time travel data insights to benchmark cardmember travel spend against market rates, identify cashback and reward redemption opportunities, and power in-app travel booking features that compete directly with MakeMyTrip while offering superior card-linked offers.

Rewards benchmarkingCard offersSpend analytics
Train Travel Platforms

IRCTC Availability & Tatkal Intelligence

Travel apps and corporate booking platforms use our IRCTC train data scraping feeds to monitor seat availability by class and quota, track tatkal opening windows, and send real-time alerts when waitlisted bookings confirm — solving India's single biggest travel planning pain point without building IRCTC integrations from scratch.

IRCTC dataTatkal alertsWaitlist tracking
Investment Research / PE Funds

Indian Travel Demand as Economic Signal

PE funds and equity research teams use our real-time travel data as a leading indicator for Indian consumer discretionary spending — tracking domestic flight booking velocity, Tier-2 city hotel ADR growth, and outbound travel demand spikes as early signals ahead of airline quarterly results and MakeMyTrip's earnings disclosures.

Alt dataBooking velocityADR trends
Consumer Travel Apps

Indian Airfare & Hotel Price Alert Engines

Indian consumer travel apps use our API to power real-time price alerts — notifying users the moment a tracked Delhi–Mumbai route drops below a target fare or when a Goa beach resort hits a flash sale price. Our webhook delivery and sub-hourly refresh rates make sub-₹500 fare drop alerts feasible at millions-of-users scale.

Price alertsWebhooksFare drops INR
Tourism Boards / State Govts

State-Level Inbound Tourism Intelligence

State tourism corporations (Kerala Tourism, Rajasthan Tourism, etc.) use our travel data scraping feeds to track inbound flight seat additions, hotel booking lead times, and average daily rate trends across their territory — enabling data-driven tourism marketing campaigns months before arrival figures are reported by the Ministry of Tourism.

Inbound demandState tourismLead time analysis
Corporate Travel / TMCs

T&E Benchmarking for Indian Enterprises

Indian Travel Management Companies and enterprise HR teams use our API to benchmark employee booking decisions against real-time market rates from MakeMyTrip and Goibibo. When a booked hotel exceeds median OTA pricing by 20% or a flight is purchased above the lowest available fare, automated policy alerts trigger approval workflows — reducing T&E leakage at scale.

T&E policyFare benchmarkingTMC tools
Sample Dataset

Live India Travel Data — Sample Records

Preview exactly what our India travel data scraping API returns. The tables below show 10 real-structure sample records across hotel listings and domestic flight data as delivered via our REST API in INR.

# Property Name Type City Stars Score Price/Night (INR) OTA Platforms Cancellation Scraped At (IST)
001 The Taj Lands End Luxury Hotel Mumbai, MH ⭐ 5 9.1 ₹18,500 MMTGoibiboBooking Free Cancel 2025-06-05 09:14
002 Leela Palace Bengaluru Palace Hotel Bengaluru, KA ⭐ 5 9.3 ₹22,000 MMTAgoda Non-refund 2025-06-05 09:15
003 Radisson Blu Jaipur Business Hotel Jaipur, RJ ⭐ 5 8.8 ₹9,200 GoibiboCleartrip Free Cancel 2025-06-05 09:16
004 Ginger Delhi Airport Budget Hotel New Delhi, DL ⭐ 3 7.9 ₹3,800 MMTIxigoYatra Free Cancel 2025-06-05 09:17
005 Kumarakom Lake Resort Backwater Resort Kumarakom, KL ⭐ 5 9.5 ₹28,000 BookingAgoda Non-refund 2025-06-05 09:18
006 Novotel Hyderabad Business Hotel Hyderabad, TG ⭐ 5 8.6 ₹8,500 MMTGoibibo Free Cancel 2025-06-05 09:19
007 Zostel Goa Hostel Panaji, GA 8.4 ₹899 HostelworldBooking Free Cancel 2025-06-05 09:20
008 Umaid Bhawan Palace Heritage Palace Jodhpur, RJ ⭐ 5 9.6 ₹65,000 BookingAgoda Non-refund 2025-06-05 09:21
009 Lemon Tree Pune Mid-Scale Hotel Pune, MH ⭐ 4 8.2 ₹5,200 MMTCleartripIxigo Free Cancel 2025-06-05 09:22
010 Wildflower Hall Shimla Hill Resort Shimla, HP ⭐ 5 9.4 ₹34,000 MMTBooking Free Cancel 2025-06-05 09:23
Data Sources

60+ India Travel Platforms — One API

Our India travel data scraping infrastructure covers all major Indian OTAs, airline websites, IRCTC, vacation rental platforms, and review sites — delivering a unified dataset without source-specific engineering.

MakeMyTrip
Hotel + Flight OTA
Goibibo
Hotel + Flight OTA
Cleartrip
Hotel + Flight OTA
Ixigo
Flight + Train OTA
Yatra
Hotel + Flight OTA
EaseMyTrip
Flight OTA
IRCTC
Indian Railways
Booking.com
Hotel OTA (Global)
Agoda
Hotel OTA (Asia)
Airbnb India
Vacation Rental
IndiGo
Airline Direct
Air India
Airline Direct
SpiceJet
Airline Direct
Akasa Air
Airline Direct
TripAdvisor
Reviews + Listings
Google Hotels
Hotel Metasearch
Google Flights
Flight Metasearch
ConfirmTkt
Train Intelligence
RailYatri
Train + Bus Data
Stayzilla / Others
Budget Homestays
How It Works

From Web to Warehouse in 4 Steps

01
Configure Your Scope

Select data types (flights, hotels, trains), geographic targets (states, cities, PIN codes, routes), OTA sources, and refresh frequency via dashboard or API call.

02
We Scrape & Normalize

Our India-optimized scraping infrastructure handles MakeMyTrip, IRCTC, Goibibo, and 60+ other sources — resolving currency, GST, and schema differences into one consistent output.

03
Quality Validation

Every record passes automated QA: INR price range validation, duplicate property detection, PIN code verification, and IRCTC availability cross-check before delivery.

04
Delivered via API or Webhook

Clean JSON via REST API on demand or schedule. Webhook push for real-time events (fare drops, waitlist confirmations). Bulk CSV for data warehouse and BI tool ingestion.

FAQs

Web Scraping Services

Frequently Asked Questions

What India travel data can you scrape?
We scrape domestic and international flight schedules, fares, and availability from all Indian airlines; hotel listings, room rates, and meal plan details from MakeMyTrip, Goibibo, Cleartrip, Booking.com, and Agoda; IRCTC train schedules, class availability, tatkal fares, and waitlist positions; customer reviews in English and Hindi; amenity details; cancellation policies; GST breakdowns; and geo-coordinates — across all 28 Indian states and 8 Union Territories.
How often is the India travel data refreshed?
Refresh frequency depends on your plan and data type. Hotel rates are updated hourly on Growth plans. Domestic flight fares can be monitored every 5 minutes on Enterprise plans. IRCTC train availability is refreshed every 15 minutes to mirror live seat inventory. Starter plans receive daily snapshots. On-demand refreshes can be triggered via API for any specific route, property, or train number at any time.
Is the India travel data delivered as structured JSON with INR pricing?
Yes. All India travel data is delivered as clean, normalized JSON via REST API with prices in INR. GST-inclusive and GST-exclusive pricing variants are provided for hotel data. Bulk exports are available in JSON and CSV formats. Fields are standardized across all sources so you get one consistent schema regardless of whether the data came from MakeMyTrip, Goibibo, IRCTC, or an airline's direct website.
Do you cover IRCTC train data including tatkal and waitlist?
Yes. Our IRCTC data scraping covers all train categories — Rajdhani, Shatabdi, Vande Bharat, Duronto, Tejas, Superfast, Mail, and Express. We track seat availability by class (1A, 2A, 3A, SL, CC, EC) and quota type (General, Tatkal, Premium Tatkal, Ladies, Senior Citizen, Tourist), tatkal surcharge amounts, current waitlist positions (WL), and RAC status — all refreshed every 15 minutes.
Can I filter India travel data by specific states, cities, or routes?
Absolutely. Geographic and route-level filtering is a first-class feature. You can scope hotel data to specific states, metro cities, Tier-2 towns, or PIN codes. Flight data can be filtered by origin airport, destination, airline, or cabin class. Train data can be filtered by source station, destination, train category, or specific train number. This lets you run hyper-targeted market analyses without ingesting all-India datasets.
Does the API handle India-specific pricing like GST slabs and bank card offers?
Yes. Our India travel data fields include itemized GST amounts with slab classification (12% or 18% for hotels based on rate), effective net price after coupon codes, and bank card offer details including eligible cards (HDFC, ICICI, SBI, Axis), discount percentage, cashback caps, and promo code expiry timestamps — scraped in real-time as MakeMyTrip, Goibibo, and Cleartrip push new offers.
Can I track historical India travel price changes over time?
Yes. Growth and Enterprise plans include price history going back up to 24 months in INR. Each price snapshot is timestamped with platform, property or route identifier, meal plan, and rate conditions. This enables festival season pricing analysis (Diwali, Dussehra, Eid, Christmas), advance purchase discount curves, and IPL season hotel surcharge detection at scale across India.
Is scraping Indian OTA and travel platform data legal?
Our data collection is based on publicly available information from open web sources, in compliance with applicable Indian law including the IT Act 2000. We do not scrape behind authenticated paywalls, IRCTC login walls, or bypass access controls. We can share our compliance documentation on request and recommend consulting your legal counsel for your specific use case and data application.
FAQ Illustration

Contact Us Now!

At WebFusionData, we specialize in cutting-edge web scraping solutions to help you unlock valuable insights and drive business growth. Whether you need custom data extraction, real-time monitoring, or large-scale web scraping, our team is here to assist you.

FAQ Illustration

Get In Touch

Ready to get started? Contact us for a personalized quote.