MakeMyTrip is the rare shelf where a domestic flight, a sleeper berth, a state transport bus seat and a Goa guest house share one cart - and every one of those four prices moves on its own rules.
Name the routes, cities, date grids, occupancies, currencies and storefronts that matter. We design the schema, build the crawler, run it on your schedule, watch it and repair it when MakeMyTrip moves its markup, and you receive files rather than code: CSV, JSON or XLSX, or an endpoint your systems call, delivered by email, S3, SFTP or webhook, from a single pull to several runs a day.
Anti-bot handling, proxy rotation and CAPTCHA solving sit on our side of the line, and you never build or maintain that layer. This platform is defended and geo-split, so collection is paced instead of hammered - every dated search costs the operator real work. A sample comes to you for approval before the full job starts, and every row arrives with its query key and capture time already attached.
A MakeMyTrip flight row names the carrier and the flight number the way the ticket does, IndiGo 6E 6261, then the departure and arrival airport by IATA code and full name, the terminal at each end, local times and dates, leg duration, stop count and the connecting airport. The fare breakup splits Total into Base Fare and Surcharges, and an instant discount is printed together with the promo code that produced it. Results sort on popularity, departure, duration, arrival and price; filters cover stops, refundable fares, departure window, airline and the arrival airport where a city has two.
Above that row sits the part western metasearch has no equivalent for. The fare family table lists Saver, Flexi Plus, Value, SUPER 6E, Flex and airline tiers such as IndiGo Upfront, each with a cabin bag and check-in allowance in kilograms, a cancellation fee starting figure, a date change fee starting figure, and whether seat and meal are chargeable or included. Seven kilograms of cabin bag is near universal here; the check-in allowance separates the tiers. Beside it sit the special fare buckets - Regular, Student, Armed Forces, Senior Citizen, Doctor and Nurses, and a GST-linked corporate fare - each with its own eligibility text.
Hotel records carry the property name, the area, walking distance to a named beach or landmark, star rating, guest score with its word label and rating count, amenity chips, and the badges that sell in India: Free Cancellation, Pay at Hotel, Guaranteed Early Check-in, Lowest Price Guarantee. The rate shows as a struck-through price, a selling price and a separate taxes and fees line, per night. Each room row gives room view, bed type, size in square feet and its own amenity list, with rates split by meal plan and refundability. Property rules hold check-in and check-out times, accepted ID proofs including Aadhaar, and guest profile restrictions; scores break into Hospitality, Facilities, Food and Room.
Addresses stay readable, which keeps a MakeMyTrip scraper cheap to aim:
Trains and buses are the half of MakeMyTrip that western OTAs do not sell, and they are not hotel rows in disguise. A train is keyed by a five digit Indian Railways number plus its name, and the record holds origin and destination station with code, timings, running days as a seven day flag, and the classes on offer - sleeper, third AC, second AC, first AC, second seating, chair car, executive chair car. Running status pages walk every halt with distance covered, platform number and scheduled against actual times, drawn from the railway's own live tracker. These tickets are sold as an IRCTC authorised partner, which is why waitlist and PNR vocabulary runs through the rail product.
Buses mix government and private supply. State road transport corporations such as APSRTC, TSRTC, MSRTC, UPSRTC, TNSTC and HRTC sit next to private fleets like VRL, KPN, Neeta and Kaveri, and the coach is itself a facet: AC and non-AC, Volvo AC seater, AC sleeper, sleeper seater and AC luxury. Routes, operators, city pages and boarding points each get their own addresses. Cabs run on trip type - one way, round trip, airport transfer - across hatchback, sedan and SUV. Tours and attractions carry their own taxonomy, from dhow cruise and desert safari to jeep safari.
Two limits belong in plain sight. Trains, buses, cabs, visa, forex and insurance sell only to the Indian storefront, so that side must be collected against an Indian point of sale. Member pricing - the Insider discount behind a login, MMTBLACK tiers and myCash balances - is not public, so we do not report it, and reviewer names stay out of the delivery by default.
MakeMyTrip is India's home-grown online travel agent. The India storefront runs on makemytrip.com, buyers outside India are served by makemytrip.global, and the Gulf gets its own hosts for the UAE and Saudi Arabia. The company opened in 2000 selling India-bound air tickets to Indians living in the United States, put up its India site five years later, listed on NASDAQ, and now sits inside a group that also owns Goibibo and redBus. The model is asset-light: airlines, hoteliers, railway and road transport operators hold the inventory, MakeMyTrip distributes it and takes the booking.
The width of the shelf is what separates this platform from Booking, Agoda or Skyscanner. One header carries Flights, Hotels, Villas and Homestays, Holiday Packages, Trains, Buses, Cabs, Tours and Attractions, Visa, Cruise, Forex Card and Currency, and Travel Insurance. A numbered Indian Railways sleeper berth, a state road transport corporation bus seat, a Kerala houseboat and a Rajasthan palace hotel are all bookable objects here, each with its own directory, its own address grammar and its own pricing logic.
The storefront is not the same for every visitor. From an Indian address the whole stack is live. From outside India the cart narrows to flights, hotels, villas and homestays and holiday packages, the other tabs reply that bookings are not available in that region, and a banner offers to move the visitor to the global site. Currency follows the same split: the India entity quotes in rupees only, while the global entity offers AED, SAR, OMR, KWD, QAR, USD, GBP, EUR, AUD, SGD, CAD, THB, MYR, BDT, LKR and NPR. Any MakeMyTrip data set that ignores point of sale is quietly mixing two price lists.
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Airlines and hotel groups scrape MakeMyTrip to watch their own shelf: whether a property surfaces under Most Booked in its city, which fare family fronts a route, and how the agency selling price compares with the rate the hotel filed. Revenue managers use it for parity inside the group itself, because MakeMyTrip, Goibibo and redBus can show the same room or the same seat at different numbers on the same day. Chains entering a new city size the supply first - how many properties sit in each star band, how many are resorts against homestays, guest houses, villas or hostels - before anyone signs a lease.
Carriers and consultancies extract MakeMyTrip fare calendars to read demand curves ahead of Diwali, the Christmas window and the summer school holidays, the weeks when the platform itself tells travellers to book three to four months out. Aggregators and fintechs track promo codes and card-linked offers, because the headline fare and the amount actually paid separate by a coupon, a bank offer, a convenience fee and add-ons such as Zero Cancellation, Price Lock and Price Drop Protection. Tourism boards and researchers read the hotel directories to measure how a district shifts between budget rooms, branded stock and homestays.
One thread ties it together. A MakeMyTrip price is meaningless without its query key attached: route or city, dates, occupancy, cabin or room type, currency, point of sale, and the moment it was taken. We keep every one of those on every row, so a month of daily pulls stacks into a single series instead of a pile of snapshots.
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If you work in travel tech, an OTA, a hotel chain, or at an airport, you are in a price-and-availability arms race. Fares change by the hour, room inventory disappears in minutes, and competitors test new bundles and ancillaries constantly.
Leveraging advances in technology, the AI-powered web scraper has skyrocketed in demand and is helping to expand capabilities by automating tedious daily tasks and speeding up data collection from thousands of websites several times over.
Web scraping is a method of obtaining web data by extracting it from pages of web resources with the help of a program, that is, in automatic mode. It is used to syntactically convert web pages into more usable forms.
ScrapeIt is a managed web scraping agency. You are not buying a library, a proxy pool or a dashboard to babysit: we design the schema, run the MakeMyTrip scraping job on your schedule, monitor it and hand over documented output with a named contact who knows the project. Travel is a large share of our work, and the Indian market - multi-product carts, rupee pricing, coupon and bank-offer stacking, storefronts that change with the buyer's country - is familiar ground. Tell us which MakeMyTrip searches matter and how often, and we answer within one business day.
No. There is no open developer portal and no public MakeMyTrip API you can subscribe to for fares or hotel rates. The partner-side doors - myPartner for travel agents, myBiz for corporate travel, the extranet for hoteliers listing a property - all sit behind contracts and logins, and the underlying supply feeds belong to the airlines, hotels and transport operators rather than to the agency. So we work from what the public pages publish, structure it, and hand you the result as files or as an endpoint of ours that behaves like the API the platform does not offer.
Yes, and they come out as separate entities with their own field sets. Trains are keyed by the five digit number and name, with station codes, timings, running days and the class list; running status adds halts, platform numbers and scheduled against actual times. Buses are keyed by operator and route, with coach type, boarding and dropping points and seat-level pricing. The one condition worth stating up front: both verticals are sold only to the Indian storefront, so they have to be gathered against an Indian point of sale, and we pace that collection deliberately.
All of the ones the page publishes, kept apart rather than merged. For flights that means base fare, surcharges, the total, the struck-through figure where there is one, and any instant discount together with the code that triggered it. For hotels it means the struck-through rate, the selling rate and the taxes and fees line, per night, per room option. Member-only figures - the Insider discount that appears after login, MMTBLACK benefits and myCash - are not public, so they are absent by design. Currency and point of sale ride along on every row, because the same search priced from India and from abroad is not the same number.
As wide as you want, provided the job is sliced the way the catalogue is. The hotel side is directory-shaped: city lists, property type by city, area by star band, area price buckets, attraction and near-me pages, so a big destination is covered by cutting it into areas, property types, star bands and price ranges rather than by paging one endless list. Goa alone carries roughly three thousand properties in September 2026. Flights are cut by route and by route plus airline, rail by route, station and train number, buses by route and operator. We agree the slice plan and the date grid depth with you before the first run.
CSV, JSON or XLSX, or an endpoint your systems call, pushed by email, S3, SFTP or webhook on whatever cadence you set. On the legal side: we take only pages the platform publishes to the open web, we do not sign in and we do not touch anything that needs an account, and personal data - reviewer names, contact details, anything attached to an individual traveller - is not collected by default. Collection is paced so it does not load the booking engine. If your use case needs something beyond that, say so and we will tell you plainly whether we can do it.
Step 1 - Make a Request
You share your needs, expectations, and desired timeframe. We’ll suggest the best solution based on your request and budget.
Step 2 - Configuring Custom Web Crawlers
Our specialists configure the crawlers and extract a sample dataset for your review before proceeding with the full-scale extraction.
Step 3 - Collect and Deliver
Once you approve the sample, we launch the project and start full data collection. We gather, filter, and structure the data for easy use, delivering it on time in your preferred format.
Step 4 - Maintain and Support
Our team manages ongoing processes, monitors website changes, and supports all data extraction cycles. We can also help integrate data into your systems or create dashboards to simplify analysis.
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