We extract flight routes, hotel availability, bus schedules, and dynamic pricing signals from EaseMyTrip. Delivered as clean JSON, CSV, or Parquet to S3, BigQuery, or Snowflake on your cadence.
Structured, schema-consistent data across all major object types — delivered clean, typed, and ready to query.
Complete list of extractable fields for Flight Itineraries objects from easemytrip.com. All fields typed and schema-versioned.
"flight_id": "EMT-DEL-BOM-6E234", "airline": "IndiGo", "flight_number": "6E-234", "price": 4599.0, "departure_airport": "DEL", "arrival_airport": "BOM", "stops": 0, "cabin_class": "Economy"
| # | flight_id | airline | flight_number | departure_airport | arrival_airport | departure_time |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Hotel Inventory objects from easemytrip.com. All fields typed and schema-versioned.
"hotel_id": "HTL-98231", "hotel_name": "Taj Palace", "location": "New Delhi", "star_rating": 5, "room_type": "Deluxe King", "price_per_night": 12500.0, "taxes": 2250.0, "user_rating": 4.8
| # | hotel_id | hotel_name | location | star_rating | room_type | board_basis |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Bus Routes objects from easemytrip.com. All fields typed and schema-versioned.
"bus_id": "BUS-4412", "operator_name": "VRL Travels", "bus_type": "Volvo Multi-Axle Sleeper A/C", "departure_city": "Bangalore", "arrival_city": "Mumbai", "price": 1850.0, "available_seats": 12, "duration": "16h 30m"
| # | bus_id | operator_name | bus_type | departure_city | arrival_city | departure_time |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Holiday Packages objects from easemytrip.com. All fields typed and schema-versioned.
"package_id": "PKG-7721", "package_name": "Mesmerizing Kerala", "destination": "Kerala, India", "duration_days": 6, "duration_nights": 5, "price_per_person": 24999.0, "flight_included": true, "hotel_included": true
| # | package_id | package_name | destination | duration_days | duration_nights | inclusions |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Cab Transfers objects from easemytrip.com. All fields typed and schema-versioned.
"pickup_location": "DEL Airport", "drop_location": "Connaught Place", "vehicle_type": "Sedan", "vehicle_model": "Dzire", "max_passengers": 4, "base_fare": 850.0, "tolls_included": true, "total_price": 950.0
| # | cab_id | pickup_location | drop_location | vehicle_type | vehicle_model | max_passengers |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our EaseMyTrip scraper handles complex search flows, session state management, and dynamic pricing hydration. We bypass rate limits using residential proxy rotation.
Extract fares across LCCs and full-service carriers. Capture flight numbers, layovers, durations, and terminal details.
Track room types, board basis, and dynamic pricing. Monitor inventory levels and tax structures across properties.
Capture operator details, seat layouts, and availability. Extract boarding and dropping point coordinates.
Extract day-wise itineraries, inclusions, and pricing. Monitor seasonal variations and group discounts.
Monitor outstation and airport transfer rates. Capture vehicle categories, passenger limits, and toll inclusions.
Extract fare rules, penalty tiers, and baggage allowances. Normalise policy text into structured fields.
Support for complex itinerary searches and pricing. Extract segment-level fare breakdowns.
Monitor price fluctuations and seat inventory changes. Configure pipelines for high-frequency updates.
Capture applied bank offers and coupon discounts. Calculate effective net fares after promotions.
Brief in. Clean data out.
Provide route lists, hotel IDs, or search parameters. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, and session management for easemytrip.com.
Schema validation, null-rate checks, and price-outlier detection before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Travel aggregators heavily protect their inventory data. Here is how we maintain stable extraction pipelines.
Travel sites enforce strict rate limits per IP. Our crawlers use residential ISP proxies with realistic browser fingerprints and randomised request timing to distribute load.
Flight and hotel search results load asynchronously. We run full Playwright browser sessions to trigger lazy-loading and execute JavaScript payloads.
Search tokens expire rapidly. Our pipeline manages active sessions, refreshing tokens automatically to ensure long-running extractions complete without interruption.
Extracting multi-city flights or specific room configurations requires sequential form interactions. We script these flows to simulate legitimate user behaviour.
DOM structures change during site updates. We use multiple fallback chains per field, including CSS selectors and API response interception.
Travel agencies monitor competitor pricing across specific routes to adjust their own markups.
Airlines and hotels ingest aggregator pricing to train their revenue management models.
Meta-search engines populate their platforms with live pricing data extracted from primary aggregators.
Enterprises track average route costs to optimise corporate travel budgets and negotiate vendor rates.
Aviation analysts track flight frequencies and pricing trends to model route demand and profitability.
Property managers track local market availability and pricing to optimise their own daily rates.
"EaseMyTrip processes millions of dynamic fare combinations daily. Capturing this volatility requires infrastructure that HTTP GET requests simply cannot provide."
Travel aggregators heavily protect their inventory data. Reliable extraction requires handling complex multi-step search forms, managing session state, rendering JavaScript payloads, and rotating residential IP addresses to avoid rate limits. DataFlirt manages this entire lifecycle so your engineering team receives clean, normalised JSON.
Everything supported by our easemytrip.com scraper — rendered SPA elements, auth walls, rate-limit evasion and beyond.
Open-source tooling on proven cloud infra — no vendor lock-in, full observability.
Scrapy handles crawl orchestration and retry logic. Playwright handles JavaScript rendering, session tokens, and interaction flows.
We maintain pools of residential ISP proxies. Rotation happens per-request with sticky sessions where required for search continuity.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling, dependency management, and SLA alerting.
Data delivered to where your team already works — no new tooling required.
About easemytrip.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available pricing and schedule information is generally permissible. DataFlirt targets only public, non-authenticated data. We do not extract personal user data or circumvent authentication walls.
Our automation scripts manage session tokens dynamically. If a search session expires, the crawler automatically requests a new token and resumes the extraction process without data loss.
Yes. Real-time streaming pipelines achieve low latency for price and availability signals on a defined route set, suitable for dynamic pricing algorithms.
Yes. We extract specific room types, board basis options, and their respective availability status directly from the property listing pages.
Our smallest packages start at a defined route or property list with weekly delivery. For larger catalogues, we price based on volume and delivery frequency.
Yes. We provide a sample run of up to 100 routes or properties during the scoping phase to validate schema fit and data quality.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a daily hotel inventory snapshot or a continuous flight pricing feed across 10,000 routes. We scope, build, and operate the pipeline. Tell us what you need.
