We extract flight routes, dynamic ticket pricing, baggage fees, layover metrics, and hotel availability from Mytrip. 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 mytrip.com. All fields typed and schema-versioned.
"route_id": "LHR-JFK-20260812", "origin_iata": "LHR", "destination_iata": "JFK", "airline": "British Airways", "duration_minutes": 485, "stops": 0, "price": 482.5, "currency": "GBP"
| # | route_id | origin_iata | destination_iata | departure_time | arrival_time | airline |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Hotel Rates objects from mytrip.com. All fields typed and schema-versioned.
"hotel_id": "HTL-99281", "hotel_name": "The Manhattan Club", "star_rating": 4.0, "room_type": "City View Suite", "price_per_night": 285.0, "currency": "USD", "availability_status": "AVAILABLE", "cancellation_policy": "FREE_CANCELLATION_48H"
| # | hotel_id | hotel_name | location | star_rating | room_type | price_per_night |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Baggage & Extras objects from mytrip.com. All fields typed and schema-versioned.
"flight_id": "BA117-20260812", "cabin_bag_allowance": "1x 8kg", "checked_bag_allowance": "0kg", "checked_bag_price": 45.0, "seat_selection_price": 15.0, "meal_included": true, "priority_boarding_price": 20.0, "currency": "GBP"
| # | flight_id | cabin_bag_allowance | checked_bag_allowance | checked_bag_price | seat_selection_price | meal_included |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Layover Data objects from mytrip.com. All fields typed and schema-versioned.
"itinerary_id": "ITIN-884729", "airport_code": "CDG", "duration_minutes": 145, "terminal_change": true, "overnight_layover": false, "transit_visa_required": false, "connecting_flight_number": "AF112", "connecting_airline": "Air France"
| # | itinerary_id | airport_code | duration_minutes | terminal_change | overnight_layover | transit_visa_required |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Search Metadata objects from mytrip.com. All fields typed and schema-versioned.
"search_id": "SRCH-0019283", "origin_iata": "LHR", "destination_iata": "JFK", "travel_date": "2026-08-12", "passengers": 1, "timestamp": "2026-05-12T09:14:33Z", "scraper_ip_region": "UK", "session_id": "sess_9928174aa"
| # | search_id | origin_iata | destination_iata | travel_date | return_date | passengers |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Mytrip scraper handles every layer of the travel aggregator: multi-city search forms, dynamic pricing grids, and hidden fee structures — with JavaScript rendering, session management, and anti-bot circumvention built in.
Departure, arrival, duration, operating airlines, and stopover points captured for every available route.
Capture base fare, taxes, aggregator fees, and total ticket price — timestamped per search session.
Extract hidden costs including cabin bag restrictions, checked baggage fees, and seat selection pricing.
Extract room types, nightly rates, star ratings, and availability status across global destinations.
Track transit times, terminal changes, and overnight stay requirements for complex itineraries.
Automate complex search forms to extract pricing for multi-leg and open-jaw travel plans.
Extract parallel pricing for Economy, Premium Economy, Business, and First Class on identical routes.
Playwright interaction automates date selection, passenger count inputs, and dynamic filter application.
Run sub-hourly checks for highly volatile routes to capture flash sales and dynamic price drops.
Utilise residential proxies to capture localised fares and bypass regional price discrimination.
Brief in. Clean data out.
Provide IATA pairs, travel dates, hotel locations, or specific URLs. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, session isolation, and CAPTCHA handling for mytrip.com.
Schema validation, null-rate checks, price-outlier detection, and sample routes evaluated before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Travel aggregators heavily protect their pricing data. Here's how we stay resilient — and why teams choose managed infrastructure over DIY.
Mytrip employs aggressive bot mitigation. Our crawlers use residential ISP proxies with realistic browser fingerprints, randomised request timing, and full cookie session management to bypass Akamai and Cloudflare protections.
Travel sites track search frequency and inflate prices for repeated queries. We use strict session isolation, injecting fresh cookies and rotating IPs per search to ensure you capture the true baseline fare.
Flight results and dynamic price grids require client-side rendering. We run full Playwright browser sessions with JavaScript execution to hydrate the DOM and capture pricing data that headless HTTP clients miss entirely.
Mytrip's multi-city and filtered search requires complex POST payloads and UI interaction. We automate the entire search flow, inputting IATA codes, dates, and passenger counts programmatically.
For large route catalogues, we maintain a hash index of last-seen prices. Subsequent runs only push diffs — reducing compute cost, storage bloat, and downstream processing load.
Airlines and competing OTAs track Mytrip pricing to adjust their own fares and maintain parity.
Meta-search engines ingest Mytrip pricing feeds to populate their own comparison grids.
Procurement teams analyse historical route pricing to negotiate better corporate rates with carriers.
Revenue managers train machine learning models on market fare volatility and booking curves.
Airlines benchmark baggage, seat selection, and priority boarding fees across aggregators.
New carriers evaluate route saturation, competitor flight frequencies, and baseline pricing before launching.
"Mytrip aggregates millions of dynamic flight and hotel prices daily — but that volatility is invisible unless you capture it continuously."
Most teams underestimate the investment required: reliable OTA scraping requires residential proxies, strict session isolation to prevent price inflation, full JavaScript rendering, and daily selector maintenance. DataFlirt absorbs that complexity so your engineers can focus on the analysis — not the infrastructure.
Everything supported by our mytrip.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, deduplication, and retry logic. Playwright handles JavaScript rendering, form submission, and interaction flows for complex searches.
We maintain pools of residential ISP proxies. Rotation happens per-search with strict session isolation to ensure true baseline pricing without search-induced inflation.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling, high-frequency polling, and dependency management. All state stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About mytrip.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available pricing and itinerary information is generally permissible under applicable law. DataFlirt targets only public, non-authenticated search results. We do not extract personal user data or circumvent authentication walls. Clients should review terms of service and consult legal counsel for specific use cases.
We use residential ISP proxies, full Playwright browser sessions with realistic fingerprints, and strict session isolation. We monitor for CAPTCHA rate spikes in real time and trigger solver queues automatically.
Yes. We can target specific geographic regions using localized residential proxies, forcing the aggregator to display fares in local currencies and revealing regional price discrimination.
Yes. We parse the full pricing breakdown, extracting base fare, taxes, cabin bag restrictions, checked baggage fees, and seat selection costs.
We support sub-hourly polling for highly volatile routes. Standard daily refreshes complete within a defined window depending on the volume of IATA pairs.
Absolutely. We provide a sample run of up to 500 routes or searches as part of the pre-engagement scoping process — so you can validate schema fit and data quality before signing a contract.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off route dump or a continuous price-monitoring feed across 10,000 IATA pairs — we scope, build, and operate the pipeline. Tell us what you need.
