We extract flight fares, hotel inventory, bus routes, MMT Assured ratings, and dynamic pricing across MakeMyTrip. 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 makemytrip.com. All fields typed and schema-versioned.
"flight_number": "6E-202", "airline": "IndiGo", "departure_airport": "DEL", "arrival_airport": "BOM", "price": 5499.0, "currency": "INR", "duration": "2h 10m", "layovers": 0
| # | flight_id | airline | flight_number | departure_airport | arrival_airport | departure_time |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Hotel Inventory objects from makemytrip.com. All fields typed and schema-versioned.
"hotel_name": "Taj Mahal Palace", "location": "Mumbai", "star_rating": 5, "mmt_assured": true, "price_per_night": 18500.0, "user_rating": 4.8, "review_count": 4120
| # | hotel_id | hotel_name | location | star_rating | mmt_assured | user_rating |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Bus Routes objects from makemytrip.com. All fields typed and schema-versioned.
"operator_name": "VRL Travels", "bus_type": "Volvo A/C Sleeper", "departure_city": "BLR", "arrival_city": "GOI", "price": 1450.0, "seats_available": 12, "rating": 4.2
| # | bus_id | operator_name | bus_type | departure_city | arrival_city | departure_time |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Fare Calendar objects from makemytrip.com. All fields typed and schema-versioned.
"origin": "DEL", "destination": "BOM", "travel_date": "2024-11-15", "lowest_fare": 4299.0, "airline": "Akasa Air", "price_trend": "rising", "currency": "INR"
| # | route_id | origin | destination | travel_date | lowest_fare | airline |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Holiday Packages objects from makemytrip.com. All fields typed and schema-versioned.
"package_name": "Mesmerizing Kerala", "destination": "Kerala", "nights": 5, "days": 6, "price_per_person": 24500.0, "flights_included": true, "rating": 4.5
| # | package_id | package_name | destination | nights | days | price_per_person |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Our MakeMyTrip scraper handles every layer of the platform: flight itineraries, dynamic fare calendars, hotel room inventory, and bus schedules. Built with JavaScript rendering and session management.
Extract real-time pricing across domestic and international routes, including layover details, operating airlines, and cabin classes.
Capture room types, pricing, tax breakdowns, amenities, and MMT Assured status for properties across all cities.
Track operators, seat availability, boarding points, dropping points, and pricing for intercity bus routes.
Extract 90-day forward-looking lowest fare matrices to predict pricing trends and seasonal demand.
Monitor intra-day price fluctuations and yield management strategies implemented by airlines and hotels.
Extract user sentiment, aggregate property ratings, and verified guest reviews for hotels and holiday packages.
Capture structured rules for refunds, date changes, and penalty tiers associated with specific bookings.
Track cabin and check-in weight limits per fare class to calculate total cost of travel accurately.
Extract multi-day itinerary details, inclusions, flight combinations, and per-person pricing.
Run exports at hourly, daily, or custom cadences to feed your internal pricing and analytics models.
Brief in. Clean data out.
Provide routes, cities, or hotel IDs. We design the extraction schema together.
We configure Playwright crawlers, proxy rotation, and CAPTCHA bypass for MakeMyTrip.
Schema validation, null-rate checks, and price anomaly detection before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
MakeMyTrip employs sophisticated anti-bot systems to protect its inventory. Here is how we maintain reliable extraction.
MakeMyTrip uses strict Akamai bot protection. We use residential ISP proxies with realistic browser fingerprints, randomised request timing, and TLS spoofing to maintain access without IP bans.
Flight and hotel results render via complex React states. We run full Playwright browser sessions with JavaScript execution to hydrate dynamic pricing widgets and availability calendars.
Travel search sessions expire quickly on OTAs. We manage stateful sessions to paginate through hundreds of results before the token invalidates, ensuring complete data capture.
Flight prices change rapidly. We maintain a hash index of last-seen values per field. Subsequent runs only push diffs, reducing storage bloat while capturing intra-day price volatility.
Every run emits structured logs to our observability stack. We alert on null-rate spikes, missing pricing fields, and schema drift, responding before your downstream models are affected.
OTAs and airlines track competitor pricing across routes to adjust their own yields and maintain parity.
Hotels monitor local inventory, competitor pricing, and platform visibility to optimise daily room rates.
Metasearch engines enrich their databases with MakeMyTrip inventory to provide comprehensive options to users.
Procurement teams analyze historical fare data and seasonal trends for accurate budget forecasting.
Analysts track route popularity, new flight launches, and regional demand to identify market opportunities.
Tour operators combine extracted flight and hotel data to build custom, competitively priced holiday packages.
"MakeMyTrip holds the most comprehensive travel inventory in India, but accessing structured pricing data requires navigating aggressive anti-bot systems."
Extracting travel data at scale requires managing session states, bypassing Akamai bot protection, and rendering heavy single-page applications. DataFlirt handles the proxy rotation, JavaScript execution, and schema maintenance so your engineering team can focus on building pricing models.
Everything supported by our makemytrip.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, stateful sessions, and dynamic widget interaction.
We maintain pools of residential ISP proxies to bypass Akamai bot protection. Rotation happens per-request with sticky sessions where required.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling, dependency management, and SLA alerting. All state stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About makemytrip.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available pricing and inventory data is generally permissible. DataFlirt targets only public, non-authenticated flight, hotel, and bus data. We do not extract personal data or circumvent authentication walls. Clients should review terms of service and consult legal counsel.
We use residential ISP proxies, full Playwright browser sessions with realistic TLS fingerprints, and request timing modelled on human behaviour to prevent blocking.
Yes. We can extract forward-looking lowest fare matrices for specific routes, allowing you to build predictive pricing models and track seasonal trends.
Real-time pipelines achieve sub-15-minute latency for specific route monitoring. Bulk catalogue refreshes complete within agreed SLA windows based on volume.
Yes. We capture all property badges, including MMT Assured status, star ratings, and verified user review aggregates.
Our smallest packages start at a defined list of routes or hotels with daily delivery. For larger scale monitoring, we price based on request volume and frequency.
Yes. We provide a sample run of up to 50 routes or hotels during the scoping process to validate schema fit and data quality before contracting.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a daily hotel rate dump or continuous flight price monitoring across 10,000 routes. We build the pipeline. Tell us what you need.
